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149 150 151 152 153<meta property="og:url" content="https://www.dakota.com/executive-search-firms"> 154<meta name="twitter:card" content="summary"> 155 156 157 158 159 160<!-- ========================================================= 161 DAKOTA EXECUTIVE SEARCH â HEAD HTML 162 Paste into: Page Settings > Advanced > Head HTML 163 ========================================================= --> 164 165<link href="https://fonts.googleapis.com/css2?family=Montserrat:wght@400;500;600;700;800&family=Open+Sans:ital,wght@0,300;0,400;0,600;1,300;1,400&display=swap" rel="stylesheet"> 166 167<style> 168 *, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; } 169 :root { 170 --navy: #0F1F3D; 171 --blue: #29ABE2; 172 --gold: #FBB813; 173 --white: #FFFFFF; 174 --off-white: #F5F7FA; 175 --mid-gray: #8A97A8; 176 --text-dark: #1A2B45; 177 --text-body: #4A5568; 178 --border: #DDE3EC; 179 } 180 body { background: var(--white); color: var(--text-dark); font-family: 'Open Sans', sans-serif; font-size: 15px; line-height: 1.65; overflow-x: hidden; } 181 182 /* SHARED */ 183 .section { padding: 80px 48px; } 184 .section-inner { max-width: 1140px; margin: 0 auto; } 185 .section-tag { font-size: 11px; font-weight: 700; letter-spacing: 2px; text-transform: uppercase; color: var(--blue); font-family: 'Montserrat', sans-serif; margin-bottom: 14px; display: flex; align-items: center; gap: 10px; } 186 .section-tag::before { content: ''; width: 24px; height: 2px; background: var(--blue); } 187 h2 { font-family: 'Montserrat', sans-serif; font-weight: 800; font-size: clamp(24px, 2.6vw, 36px); color: var(--navy); line-height: 1.15; letter-spacing: -0.3px; margin-bottom: 18px; } 188 h2 em { color: var(--gold); font-style: italic; } 189 .body-text { font-size: 15px; color: var(--text-body); line-height: 1.75; font-weight: 300; } 190 .btn-gold { background: var(--gold); color: var(--navy); border: none; padding: 14px 30px; border-radius: 4px; font-size: 15px; font-family: 'Montserrat', sans-serif; font-weight: 700; cursor: pointer; text-decoration: none; display: inline-block; transition: background 0.2s; } 191 .btn-gold:hover { background: #e8a800; } 192 .btn-outline-white { background: transparent; color: var(--white); border: 1.5px solid rgba(255,255,255,0.35); padding: 13px 26px; border-radius: 4px; font-size: 15px; font-family: 'Montserrat', sans-serif; font-weight: 600; cursor: pointer; text-decoration: none; display: inline-flex; gap: 8px; align-items: center; transition: all 0.2s; } 193 .btn-outline-white:hover { border-color: rgba(255,255,255,0.7); } 194 .blur-firm { filter: blur(4px); user-select: none; display: inline-block; } 195 196 /* HERO */ 197 .hero { background: var(--navy); padding: 64px 48px 72px; } 198 .hero-inner { max-width: 1140px; margin: 0 auto; display: grid; grid-template-columns: 1.15fr 0.85fr; gap: 56px; align-items: center; } 199 .hero-badge { background: rgba(41,171,226,0.15); color: var(--blue); font-size: 10px; font-weight: 700; font-family: 'Montserrat', sans-serif; letter-spacing: 2px; text-transform: uppercase; padding: 5px 11px; border-radius: 3px; display: inline-block; margin-bottom: 8px; } 200 .hero-sub-label { font-size: 11px; color: rgba(255,255,255,0.35); font-family: 'Montserrat', sans-serif; font-weight: 500; margin-bottom: 18px; } 201 .hero h1 { font-family: 'Montserrat', sans-serif; font-size: clamp(26px, 2.8vw, 42px); font-weight: 800; color: var(--white); line-height: 1.1; margin-bottom: 18px; letter-spacing: -0.5px; } 202 .hero h1 em { color: var(--gold); font-style: italic; } 203 .hero-sub { font-size: 15px; color: rgba(255,255,255,0.65); line-height: 1.7; margin-bottom: 28px; font-weight: 300; } 204 .hero-flow { display: flex; align-items: center; gap: 12px; margin-bottom: 32px; flex-wrap: wrap; } 205 .flow-step { background: rgba(255,255,255,0.08); border: 1px solid rgba(255,255,255,0.12); border-radius: 4px; padding: 10px 16px; font-size: 12px; color: rgba(255,255,255,0.75); font-family: 'Montserrat', sans-serif; font-weight: 600; } 206 .flow-arrow { color: var(--blue); font-weight: 700; font-size: 14px; } 207 .flow-result { background: rgba(41,171,226,0.15); border: 1px solid rgba(41,171,226,0.3); border-radius: 4px; padding: 10px 16px; font-size: 12px; color: var(--blue); font-family: 'Montserrat', sans-serif; font-weight: 700; } 208 .hero-btns { display: flex; gap: 12px; flex-wrap: wrap; } 209 .hero-stat-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 1px; background: rgba(255,255,255,0.08); border: 1px solid rgba(255,255,255,0.08); border-radius: 8px; overflow: hidden; } 210 .hero-stat { background: rgba(255,255,255,0.04); padding: 22px 20px; } 211 .hs-num { font-family: 'Montserrat', sans-serif; font-weight: 800; font-size: 26px; color: var(--gold); line-height: 1; margin-bottom: 5px; } 212 .hs-label { font-size: 10px; color: rgba(255,255,255,0.4); font-family: 'Montserrat', sans-serif; font-weight: 600; letter-spacing: 0.5px; text-transform: uppercase; } 213 .hs-wide { grid-column: span 2; border-top: 1px solid rgba(255,255,255,0.08); display: flex; align-items: center; gap: 16px; padding: 16px 20px; } 214 .hs-wide-badge { background: rgba(251,184,19,0.15); border: 1px solid rgba(251,184,19,0.3); border-radius: 3px; padding: 5px 10px; font-size: 11px; font-family: 'Montserrat', sans-serif; font-weight: 700; color: var(--gold); } 215 216 /* AI FEATURE */ 217 .ai-section { background: var(--navy); padding: 80px 48px; border-top: 1px solid rgba(255,255,255,0.08); } 218 .ai-section .section-tag { color: var(--blue); } 219 .ai-section .section-tag::before { background: var(--blue); } 220 .ai-section h2 { color: var(--white); } 221 .ai-section h2 em { color: var(--gold); } 222 .ai-section .body-text { color: rgba(255,255,255,0.65); } 223 .ai-flow { display: grid; grid-template-columns: repeat(4, 1fr); gap: 1px; background: rgba(255,255,255,0.08); border: 1px solid rgba(255,255,255,0.08); border-radius: 6px; overflow: hidden; margin: 40px 0; } 224 .ai-step { background: rgba(255,255,255,0.04); padding: 24px 20px; position: relative; } 225 .ai-step-num { width: 28px; height: 28px; border-radius: 50%; background: rgba(41,171,226,0.2); border: 1.5px solid var(--blue); display: flex; align-items: center; justify-content: center; font-family: 'Montserrat', sans-serif; font-weight: 800; font-size: 12px; color: var(--blue); margin-bottom: 14px; } 226 .ai-step-num.complete { background: rgba(251,184,19,0.15); border-color: var(--gold); color: var(--gold); } 227 .ai-step-title { font-family: 'Montserrat', sans-serif; font-weight: 700; font-size: 13px; color: var(--white); margin-bottom: 8px; } 228 .ai-step-body { font-size: 12px; color: rgba(255,255,255,0.5); line-height: 1.55; } 229 .ai-features-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 20px; } 230 .ai-feature-card { background: rgba(255,255,255,0.06); border: 1px solid rgba(255,255,255,0.1); border-left: 3px solid var(--blue); border-radius: 4px; padding: 24px 22px; } 231 .ai-feature-title { font-family: 'Montserrat', sans-serif; font-weight: 700; font-size: 14px; color: var(--white); margin-bottom: 10px; } 232 .ai-feature-body { font-size: 13px; color: rgba(255,255,255,0.6); line-height: 1.65; } 233 234 /* WHY DIFFERENT */ 235 .why-section { background: var(--off-white); border-bottom: 1px solid var(--border); } 236 .two-col { display: grid; grid-template-columns: 1fr 1fr; gap: 64px; align-items: start; } 237 .client-quote { background: var(--navy); border-radius: 4px; padding: 26px 28px; margin-top: 24px; } 238 .client-quote blockquote { font-size: 14px; color: rgba(255,255,255,0.9); line-height: 1.7; font-style: italic; font-weight: 300; margin-bottom: 14px; } 239 .client-quote blockquote::before { content: '\201C'; font-size: 32px; color: var(--gold); font-style: normal; line-height: 0; vertical-align: -12px; margin-right: 4px; font-family: Georgia, serif; } 240 .client-attrib { font-size: 11px; font-weight: 700; letter-spacing: 1.5px; text-transform: uppercase; color: var(--gold); font-family: 'Montserrat', sans-serif; } 241 .numbered-list { display: flex; flex-direction: column; } 242 .numbered-item { display: flex; gap: 20px; padding: 22px 0; border-bottom: 1px solid var(--border); } 243 .numbered-item:first-child { border-top: 1px solid var(--border); } 244 .num { font-family: 'Montserrat', sans-serif; font-weight: 800; font-size: 13px; color: var(--blue); min-width: 24px; padding-top: 2px; } 245 .num-title { font-family: 'Montserrat', sans-serif; font-weight: 700; font-size: 14px; color: var(--navy); margin-bottom: 6px; } 246 .num-body { font-size: 14px; color: var(--text-body); line-height: 1.65; } 247 248 /* SAMPLE PROFILES */ 249 .profiles-band { background: var(--navy); padding: 80px 48px; } 250 .profiles-band .section-tag { color: var(--blue); } 251 .profiles-band .section-tag::before { background: var(--blue); } 252 .profiles-band h2 { color: var(--white); } 253 .profiles-band h2 em { color: var(--gold); } 254 .profiles-band .body-text { color: rgba(255,255,255,0.65); } 255 .profiles-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 20px; margin-top: 48px; } 256 .profile-card { background: rgba(255,255,255,0.06); border: 1px solid rgba(255,255,255,0.1); border-top: 3px solid var(--blue); border-radius: 4px; padding: 24px 22px; } 257 .profile-role { font-size: 10px; font-weight: 700; letter-spacing: 2px; text-transform: uppercase; color: var(--blue); font-family: 'Montserrat', sans-serif; margin-bottom: 6px; } 258 .profile-name { font-family: 'Montserrat', sans-serif; font-weight: 800; font-size: 16px; color: var(--white); margin-bottom: 3px; } 259 .profile-company { font-size: 12px; color: rgba(255,255,255,0.45); margin-bottom: 14px; } 260 .profile-bio-label { font-size: 10px; font-weight: 700; letter-spacing: 1px; text-transform: uppercase; color: rgba(255,255,255,0.35); font-family: 'Montserrat', sans-serif; margin-bottom: 8px; } 261 .profile-bio { font-size: 13px; color: rgba(255,255,255,0.7); line-height: 1.6; margin-bottom: 14px; } 262 .profile-roles { display: flex; flex-direction: column; gap: 4px; margin-bottom: 12px; } 263 .profile-role-item { font-size: 12px; color: rgba(255,255,255,0.55); line-height: 1.4; } 264 .profile-role-item::before { content: '⢠'; color: var(--blue); } 265 .profile-txn { background: rgba(41,171,226,0.08); border-left: 2px solid var(--blue); padding: 8px 12px; border-radius: 0 3px 3px 0; font-size: 11px; color: rgba(255,255,255,0.5); font-style: italic; line-height: 1.5; } 266 .profiles-note { font-size: 12px; color: rgba(255,255,255,0.3); margin-top: 24px; font-style: italic; } 267 268 /* C-SUITE ROLES */ 269 .roles-section { background: var(--white); border-bottom: 1px solid var(--border); } 270 .roles-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 1px; background: var(--border); border: 1px solid var(--border); border-radius: 6px; overflow: hidden; margin-top: 48px; } 271 .role-cell { background: var(--white); padding: 26px 22px; } 272 .role-abbr { font-family: 'Montserrat', sans-serif; font-weight: 800; font-size: 22px; color: var(--navy); margin-bottom: 4px; } 273 .role-title { font-size: 10px; font-weight: 700; letter-spacing: 1.5px; text-transform: uppercase; color: var(--blue); font-family: 'Montserrat', sans-serif; margin-bottom: 12px; } 274 .role-body { font-size: 13px; color: var(--text-body); line-height: 1.65; margin-bottom: 12px; } 275 .role-tags { font-size: 11px; color: var(--gold); font-family: 'Montserrat', sans-serif; font-weight: 600; } 276 277 /* SIX DATA LAYERS */ 278 .data-section { background: var(--off-white); border-bottom: 1px solid var(--border); } 279 .features-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 1px; background: var(--border); border: 1px solid var(--border); border-radius: 6px; overflow: hidden; margin-top: 48px; } 280 .feature-cell { background: var(--white); padding: 26px 22px; } 281 .feature-eyebrow { font-size: 10px; font-weight: 700; letter-spacing: 2px; text-transform: uppercase; color: var(--blue); font-family: 'Montserrat', sans-serif; margin-bottom: 8px; } 282 .feature-title { font-family: 'Montserrat', sans-serif; font-weight: 700; font-size: 14px; color: var(--navy); margin-bottom: 10px; } 283 .feature-body { font-size: 13px; color: var(--text-body); line-height: 1.65; margin-bottom: 12px; } 284 .feature-tags { font-size: 11px; color: var(--blue); font-family: 'Montserrat', sans-serif; font-weight: 600; } 285 286 /* DAY IN THE LIFE */ 287 .workflow-section { background: var(--white); border-bottom: 1px solid var(--border); } 288 .timeline { display: flex; flex-direction: column; gap: 0; margin-top: 48px; } 289 .timeline-item { display: flex; gap: 24px; padding: 28px 0; border-bottom: 1px solid var(--border); } 290 .timeline-item:last-child { border-bottom: none; } 291 .timeline-marker { display: flex; flex-direction: column; align-items: center; gap: 0; flex-shrink: 0; } 292 .timeline-dot { width: 14px; height: 14px; border-radius: 50%; background: var(--blue); flex-shrink: 0; margin-top: 4px; } 293 .timeline-line { width: 2px; flex: 1; background: var(--border); margin-top: 8px; } 294 .timeline-item:last-child .timeline-line { display: none; } 295 .timeline-day { font-size: 10px; font-weight: 700; letter-spacing: 2px; text-transform: uppercase; color: var(--blue); font-family: 'Montserrat', sans-serif; margin-bottom: 6px; } 296 .timeline-title { font-family: 'Montserrat', sans-serif; font-weight: 700; font-size: 15px; color: var(--navy); margin-bottom: 8px; } 297 .timeline-body { font-size: 14px; color: var(--text-body); line-height: 1.65; margin-bottom: 10px; } 298 .timeline-ai { background: rgba(41,171,226,0.06); border-left: 3px solid var(--blue); padding: 10px 14px; border-radius: 0 3px 3px 0; font-size: 13px; color: var(--text-body); font-style: italic; line-height: 1.55; } 299 300 /* PE MARKET */ 301 .market-band { background: var(--navy); padding: 80px 48px; } 302 .market-band .section-tag { color: var(--blue); } 303 .market-band .section-tag::before { background: var(--blue); } 304 .market-band h2 { color: var(--white); } 305 .market-band h2 em { color: var(--gold); } 306 .market-band .body-text { color: rgba(255,255,255,0.65); } 307 .market-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 20px; margin-top: 48px; } 308 .market-card { background: rgba(255,255,255,0.06); border: 1px solid rgba(255,255,255,0.1); border-top: 3px solid var(--blue); border-radius: 4px; padding: 24px 22px; } 309 .market-title { font-family: 'Montserrat', sans-serif; font-weight: 700; font-size: 14px; color: var(--white); margin-bottom: 10px; line-height: 1.4; } 310 .market-body { font-size: 13px; color: rgba(255,255,255,0.6); line-height: 1.65; margin-bottom: 12px; } 311 .market-tags { font-size: 11px; color: var(--gold); font-family: 'Montserrat', sans-serif; font-style: italic; } 312 313 /* IMPACT */ 314 .impact-section { background: var(--off-white); border-bottom: 1px solid var(--border); } 315 .impact-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 20px; margin-top: 48px; } 316 .impact-card { background: var(--white); border: 1px solid var(--border); border-top: 3px solid var(--blue); border-radius: 4px; padding: 26px 24px; } 317 .impact-num { font-family: 'Montserrat', sans-serif; font-weight: 800; font-size: 36px; color: var(--gold); line-height: 1; margin-bottom: 8px; } 318 .impact-title { font-family: 'Montserrat', sans-serif; font-weight: 700; font-size: 14px; color: var(--navy); margin-bottom: 10px; } 319 .impact-body { font-size: 13px; color: var(--text-body); line-height: 1.65; margin-bottom: 10px; } 320 .impact-callout { font-size: 12px; color: var(--blue); font-style: italic; line-height: 1.5; } 321 322 /* CTA / PRICING */ 323 .cta-band { background: var(--navy); padding: 80px 48px; } 324 .cta-inner { max-width: 1140px; margin: 0 auto; display: grid; grid-template-columns: 1fr 1fr; gap: 64px; align-items: start; } 325 .cta-left .section-tag { color: var(--blue); } 326 .cta-left .section-tag::before { background: var(--blue); } 327 .cta-left h2 { color: var(--white); } 328 .cta-left h2 em { color: var(--gold); } 329 .cta-left p { font-size: 15px; color: rgba(255,255,255,0.65); 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2412 <span id="hs_cos_wrapper_my_flexible_column" class="hs_cos_wrapper hs_cos_wrapper_widget_container hs_cos_wrapper_type_widget_container" style="" data-hs-cos-general-type="widget_container" data-hs-cos-type="widget_container"><div id="hs_cos_wrapper_widget_1774640371337" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_widget_1774640371337_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><!-- ========================================================= 2413 DAKOTA EXECUTIVE SEARCH â RICH TEXT / BODY HTML 2414 Paste into a HubSpot "Custom HTML" module. 2415 Do NOT use the Rich Text module â it strips classes. 2416 ========================================================= --><!-- HERO --><div class="hero"> 2417<div class="hero-inner"> 2418<div> 2419<div class="hero-badge">Dakota Marketplace FOR Executive Search </div> 2420<h1>Upload the Brief. Get the <em>Top 20 Candidates.</em></h1> 2421<p class="hero-sub">PE executive search is a research problem. Dakota delivers 150,000+ sponsor-backed executive profiles with full career histories and transaction records, plus an AI that reads your brief and surfaces the top 20 best fits in minutes.</p> 2422<div class="hero-btns"><a href="/-calendar-executivesearchfirms" class="btn-gold" rel="noopener">Book A Demo â</a></div> 2423</div> 2424<div> 2425<div class="hero-stat-grid"> 2426<div class="hero-stat"> 2427<div class="hs-num">150K+</div> 2428<div class="hs-label">Sponsor-Backed Exec Profiles</div> 2429</div> 2430<div class="hero-stat"> 2431<div class="hs-num">640,000+</div> 2432<div class="hs-label">Private Companies</div> 2433</div> 2434<div class="hero-stat"> 2435<div class="hs-num">Full</div> 2436<div class="hs-label">Career Bios & Work History</div> 2437</div> 2438<div class="hero-stat"> 2439<div class="hs-num">Custom Pricing</div> 2440<div class="hs-label">Per User / Per Year</div> 2441</div> 2442<div class="hs-wide"> 2443<div class="hs-wide-badge">AI Included</div> 2444<div class="hs-label" style="margin-left: 0;">Brief-to-Candidates App, Upload a brief, get ranked results in minutes</div> 2445</div> 2446</div> 2447</div> 2448</div> 2449</div> 2450<!-- AI FEATURE --> 2451<div class="ai-section"> 2452<div class="section-inner"> 2453<div class="section-tag">The Feature No Other Executive Search Tool Has</div> 2454<h2>Upload the Executive Brief. Dakota AI Returns <em>the Top 20 Best-Fit Candidates.</em></h2> 2455<p class="body-text" style="max-width: 720px;">Upload a full Executive Brief and receive a ranked list of the 20 best-fit candidates from 150,000+ sponsor-backed executive profiles, in minutes rather than weeks.</p> 2456<div class="ai-flow"> 2457<div class="ai-step"> 2458<div class="ai-step-num">1</div> 2459<div class="ai-step-title">Upload Executive Brief</div> 2460<div class="ai-step-body">Upload the role brief, job description, PE sponsor context, industry, revenue stage, geographic requirements, and cultural fit criteria</div> 2461</div> 2462<div class="ai-step"> 2463<div class="ai-step-num">2</div> 2464<div class="ai-step-title">AI Reads the Brief</div> 2465<div class="ai-step-body">Dakota's Claude-powered AI reads every field of the brief and identifies the key matching criteria, industry experience, deal scale, PE ownership type, functional depth</div> 2466</div> 2467<div class="ai-step"> 2468<div class="ai-step-num">3</div> 2469<div class="ai-step-title">Matches 150K+ Profiles</div> 2470<div class="ai-step-body">The AI cross-references the brief against 150,000+ sponsor-backed executive bios, career histories, and transaction records in real time</div> 2471</div> 2472<div class="ai-step"> 2473<div class="ai-step-num complete">â</div> 2474<div class="ai-step-title">Top 20 Best Fits, Ranked</div> 2475<div class="ai-step-body">A ranked list of the 20 best-fit candidates with match rationale, bio excerpts, and direct contact information, ready for the first outreach call</div> 2476</div> 2477</div> 2478<div class="ai-features-grid"> 2479<div class="ai-feature-card"> 2480<div class="ai-feature-title">Brief-Specific Matching, Not Generic Search Filters</div> 2481<div class="ai-feature-body">Dakota's AI reads the full Executive Brief as a document, understanding nuanced requirements like "led a company through a PE-sponsored carve-out" or "managed EBITDA exp
2481ansion from $12M to $45M," and matches against those specific criteria, not just titles and industries.</div> 2482</div> 2483<div class="ai-feature-card"> 2484<div class="ai-feature-title">Transaction-Backed Track Records, Not Just Titles</div> 2485<div class="ai-feature-body">Every executive bio is linked to the transactions that occurred at their companies. The AI matches candidates who have been through the specific type of transaction your PE client is planning, filtering by actual deal experience, not claimed experience.</div> 2486</div> 2487<div class="ai-feature-card"> 2488<div class="ai-feature-title">Days to Minutes, The Speed Advantage</div> 2489<div class="ai-feature-body">The first-cut candidate list typically takes 3-7 days of researcher time. Dakota's AI produces the same list in under 10 minutes, shifting researcher capacity from screening to engagement.</div> 2490</div> 2491<div class="ai-feature-card"> 2492<div class="ai-feature-title">Surfaces Candidates You Would Not Have Found</div> 2493<div class="ai-feature-body">The most valuable candidates are often not in the recruiter's network and not actively looking. Dakota's AI scans 150,000+ profiles and surfaces non-obvious candidates who are the best fits but require active sourcing to reach.</div> 2494</div> 2495</div> 2496</div> 2497</div> 2498<!-- WHY DIFFERENT --> 2499<div class="why-section section"> 2500<div class="section-inner"> 2501<div class="two-col"> 2502<div> 2503<div class="section-tag">Why Dakota Is Different for Executive Search</div> 2504<h2>150,000+ Sponsor-Backed Executives. <em>Full Bios. Verified Contacts. Transaction History.</em></h2> 2505<p class="body-text">PE firms are not looking for the best CEO in the world. They are looking for the specific CEO who has operated a PE-backed company of the right size, in the right sector, through the right ownership cycle. Most talent databases have titles and employers. Dakota has the full professional biography, the career trajectory, and the transaction history of every deal under each executive's tenure.</p> 2506<div class="client-quote"> 2507<blockquote>We used to spend the first week of every search just getting to a qualified longlist. Dakota cuts that to a single afternoon. The AI matching against the brief is remarkably accurate, it surfaces candidates with exactly the right PE-backed operating experience that we would have found eventually through manual research, but would have taken us days to identify.</blockquote> 2508<div class="client-attrib">Managing Partner, PE-Focused Executive Search Firm</div> 2509</div> 2510</div> 2511<div> 2512<div class="numbered-list"> 2513<div class="numbered-item"> 2514<div class="num">01</div> 2515<div> 2516<div class="num-title">150,000+ Sponsor-Backed Execs, The PE Universe Specifically</div> 2517<div class="num-body">150,000+ executives at sponsor-backed portfolio companies with full biographical data, career history, prior roles, and the specific PE context of each position they have held. Not scraped from LinkedIn.</div> 2518</div> 2519</div> 2520<div class="numbered-item"> 2521<div class="num">02</div> 2522<div> 2523<div class="num-title">Full Career Bios, The History That Makes the Difference</div> 2524<div class="num-body">The difference between a PE-backed operator and a founder-owned company CEO is significant and not visible from a LinkedIn profile. Dakota's biographical data captures the full career context so search firms can assess fit before the first outreach call.</div> 2525</div> 2526</div> 2527<div class="numbered-item"> 2528<div class="num">03</div> 2529<div> 2530<div class="num-title">Transaction Track Records, Performance Linked to Outcomes</div> 2531<div class="num-body">Dakota links every executive bio to the transaction history of companies they have run, with buyer, deal timeline, and value creation context. Identify executives whose track record includes the specific outcome your client is seeking to replicate.</div> 2532</div> 2533</div> 2534<div class="numbered-item"> 2535<div class="num">04</div> 2536<div> 2537<div class="num-title">Direct Contact Information, Reach the Candidate Directly</div> 2538<div class="num-body">Direct phone and email for 150,000+ executives, not LinkedIn InMail, not a request through an assistant. Verified daily so the first contact from the search f
2538irm is direct and current.</div> 2539</div> 2540</div> 2541</div> 2542</div> 2543</div> 2544</div> 2545</div> 2546<!-- SAMPLE PROFILES --> 2547<div class="profiles-band"> 2548<div class="section-inner"> 2549<div class="section-tag">Sample Executive Profiles</div> 2550<h2>The Depth of What Dakota Has on <em>Every Sponsor-Backed Executive.</em></h2> 2551<p class="body-text" style="max-width: 720px;">Representative examples of the biographical detail, career history, and transaction linkage that makes candidate evaluation possible before the first conversation.</p> 2552<div class="profiles-grid"> 2553<div class="profile-card"> 2554<div class="profile-role">CEO, Healthcare Services</div> 2555<div class="profile-name"><span class="blur-firm">Michael T. [Redacted]</span></div> 2556<div class="profile-company">Summit Healthcare Services, $180M Revenue, <span class="blur-firm">KKR</span> Portfolio</div> 2557<div class="profile-bio-label">Executive Bio (Dakota Profile)</div> 2558<div class="profile-bio">20-year operator in PE-backed healthcare services. Three prior CEO roles at sponsor-backed companies with total enterprise value growth of $340M across holds. Deep experience with physician practice management acquisitions, EBITDA margin improvement from 12% to 22%, and preparation of companies for institutional sale processes.</div> 2559<div class="profile-roles"> 2560<div class="profile-role-item">CEO, Premier Medical Group ($95M Rev), <span class="blur-firm">Riverside Company</span> portfolio, 2019-2022</div> 2561<div class="profile-role-item">COO, Southeast Health Partners ($60M Rev), <span class="blur-firm">Warburg Pincus</span>, 2015-2019</div> 2562<div class="profile-role-item">VP Operations, CareFirst Medical, Public company, 2011-2015</div> 2563</div> 2564<div class="profile-txn">Transaction record: Premier Medical sold to AMSURG Corp 2022 (3.8x MOIC). Southeast Health recapitalized 2019 at $310M EV. Current: <span class="blur-firm">KKR</span> portfolio, year 2 of estimated 4-5 year hold.</div> 2565</div> 2566<div class="profile-card"> 2567<div class="profile-role">CFO, Industrials</div> 2568<div class="profile-name"><span class="blur-firm">Sarah J. [Redacted]</span></div> 2569<div class="profile-company">Midwest Distribution Partners, $240M Revenue, <span class="blur-firm">Apollo</span> Portfolio</div> 2570<div class="profile-bio-label">Executive Bio (Dakota Profile)</div> 2571<div class="profile-bio">PE-experienced CFO with four portfolio company roles across Industrials and Manufacturing. Specialist in carve-out integrations, working capital optimization, and financial reporting build-out for companies approaching PE exit processes. Led two successful exit preparation processes resulting in strategic sales at 12x and 9x EBITDA.</div> 2572<div class="profile-roles"> 2573<div class="profile-role-item">CFO, Great Lakes Industrial ($140M Rev), <span class="blur-firm">KKR</span>, 2020-2023 (exit to strategic)</div> 2574<div class="profile-role-item">VP Finance, National Services Corp, <span class="blur-firm">Bain Capital</span> portfolio, 2017-2020</div> 2575<div class="profile-role-item">Controller, Precision Manufacturing Inc., Family-owned, sale to PE, 2013-2017</div> 2576</div> 2577<div class="profile-txn">Transaction record: Great Lakes sold to <span class="blur-firm">Dover Corp</span> 2023 (2.9x MOIC, 12x EBITDA). National Services recapitalized 2020. Current <span class="blur-firm">Apollo</span> portfolio, 18 months into hold.</div> 2578</div> 2579<div class="profile-card"> 2580<div class="profile-role">COO, Technology</div> 2581<div class="profile-name"><span class="blur-firm">David R. [Redacted]</span></div> 2582<div class="profile-company">Pacific SaaS Holdings, $95M ARR, <span class="blur-firm">Vista Equity</span> Portfolio</div> 2583<div class="profile-bio-label">Executive Bio (Dakota Profile)</div> 2584<div class="profile-bio">Operational leader specializing in scaling PE-backed B2B SaaS companies from $30M to $150M ARR. Three prior Vista and Thoma Bravo portfolio company roles with documented experience in go-to-market reorganization, customer success build-out, and preparation for strategic exit to enterprise software acquirers.</div> 2585<div class="profile-roles"> 2586<div class="profile-role-item">COO, CloudScale Analytics ($75M ARR), <span class="blur-firm">Thoma Bravo</span>, 2021-2023</div> 2587<div class="profile-role-item">VP Sales, DataBridge Corp ($40M ARR), <span class="blur-firm">Vista Equity</span>, 2018-2021</div> 2588<div class="profile-role-item">Director of Operations, TechFirst Solutions, Series B startup, 2015-2018</div> 2589</div> 2590<div class="profile-txn">Transaction record: CloudScale sold to <span class="blur-firm">
2590Salesforce</span> 2023. DataBridge merged with larger Vista portco 2021. Current: <span class="blur-firm">Vista</span> portfolio, Year 1 of 4-5 year growth build.</div> 2591</div> 2592<div class="profile-card"> 2593<div class="profile-role">CMO, Consumer</div> 2594<div class="profile-name"><span class="blur-firm">Jennifer A. [Redacted]</span></div> 2595<div class="profile-company">National Consumer Brands LLC, $320M Revenue, <span class="blur-firm">Cerberus</span> Portfolio</div> 2596<div class="profile-bio-label">Executive Bio (Dakota Profile)</div> 2597<div class="profile-bio">Consumer-focused CMO with deep PE portfolio experience across retail, DTC, and branded consumer products. Four portfolio company roles with documented expertise in brand repositioning under PE ownership, e-commerce channel build-out, and retail account management through LBO ownership transitions.</div> 2598<div class="profile-roles"> 2599<div class="profile-role-item">CMO, Heritage Brands ($180M Rev), <span class="blur-firm">L Catterton</span>, 2020-2024 (exit IPO)</div> 2600<div class="profile-role-item">VP Brand, Prestige Consumer Products, <span class="blur-firm">Advent International</span>, 2016-2020</div> 2601<div class="profile-role-item">Director Marketing, Pinnacle Foods, Public company, 2013-2016</div> 2602</div> 2603<div class="profile-txn">Transaction record: Heritage Brands IPO 2024 at $1.4B market cap. Prestige Consumer sold to strategic 2020 at 3.1x MOIC. Current: <span class="blur-firm">Cerberus</span> portfolio, Year 1.</div> 2604</div> 2605</div> 2606<p class="profiles-note">* All executive names are redacted. All actual Dakota profiles include verified contact information, direct phone numbers, and email addresses updated daily.</p> 2607</div> 2608</div> 2609<!-- C-SUITE ROLES --> 2610<div class="roles-section section"> 2611<div class="section-inner"> 2612<div class="section-tag">C-Suite Role Coverage</div> 2613<h2>Every Role Your PE Clients Need to Fill, <em>In the Database.</em></h2> 2614<p class="body-text" style="max-width: 720px;">Every C-suite role PE firms hire search firms to fill, with functional bio depth and prior role history specific to each position.</p> 2615<div class="roles-grid"> 2616<div class="role-cell"> 2617<div class="role-abbr">CEO</div> 2618<div class="role-title">Chief Executive Officer</div> 2619<div class="role-body">Operational leaders with documented PE ownership cycle experience, EBITDA expansion, add-on integrations, and exit preparation. The most searched role in PE executive search.</div> 2620<div class="role-tags">PE operating experience, Hold period track records, Exit history</div> 2621</div> 2622<div class="role-cell"> 2623<div class="role-abbr">CFO</div> 2624<div class="role-title">Chief Financial Officer</div> 2625<div class="role-body">Finance leaders with PE portfolio experience in working capital management, lender relationships, financial reporting build-out, and exit preparation. Carve-out experience flagged where present.</div> 2626<div class="role-tags">Carve-out, Exit prep, Lender mgmt, Reporting build-out</div> 2627</div> 2628<div class="role-cell"> 2629<div class="role-abbr">COO</div> 2630<div class="role-title">Chief Operating Officer</div> 2631<div class="role-body">Operational leaders experienced in scaling PE-backed businesses through process improvement, KPI development, and operational infrastructure build-out. Often the CEO successor candidate.</div> 2632<div class="role-tags">Operations scaling, Process build, KPI development, CEO track</div> 2633</div> 2634<div class="role-cell"> 2635<div class="role-abbr">CIO/CTO</div> 2636<div class="role-title">Chief Information / Technology Officer</div> 2637<div class="role-body">Technology leaders with PE portfolio experience in ERP implementations, technology modernization under ownership transition, and digital transformation mandates. Increasing demand post-acquisition.</div> 2638<div class="role-tags">ERP implementation, Tech modernization, Post-acquisition mandate</div> 2639</div> 2640<div class="role-cell"> 2641<div class="role-abbr">CMO</div> 2642<div class="role-title">Chief Marketing Officer</div> 2643<div class="role-body">Marketing leaders with PE portfolio experience in brand repositioning under ownership changes, revenue marketing, and digital build-out for historically offline businesses.</div> 2644<div class="role-tags">Brand repositioning, Revenue marketing, Digital build-out</div> 2645</div> 2646<div class="role-cell"> 2647<div class="role-abbr">CCO/CSO</div> 2648<div class="role-title">Chief Compliance / Strategy Officer</div> 2649<div class="role-body">Compliance and strategy leaders at regulated PE portfolio companies in healthcare, financial services, and insurance. Increasing PE demand for compliance infrastru
2649cture build-out post-acquisition.</div> 2650<div class="role-tags">Regulated sectors, Compliance build-out, PE ownership context</div> 2651</div> 2652</div> 2653</div> 2654</div> 2655<!-- SIX DATA LAYERS --> 2656<div class="data-section section"> 2657<div class="section-inner"> 2658<div class="section-tag">What's in Every Executive Profile</div> 2659<h2>Six Data Layers Per Executive, <em>Everything That Makes Candidate Evaluation Possible.</em></h2> 2660<p class="body-text" style="max-width: 720px;">Six layers of biographical and contextual data that allow search firms to assess fit before the first call, not during it.</p> 2661<div class="features-grid"> 2662<div class="feature-cell"> 2663<div class="feature-eyebrow">Biography</div> 2664<div class="feature-title">Full Professional Biography, Career Narrative</div> 2665<div class="feature-body">Not just current role and employer. The context, scale, and functional responsibilities of each position, so search firms know whether this person has actually done what the client needs.</div> 2666<div class="feature-tags">Full bio, Career narrative, Functional depth, Educational background</div> 2667</div> 2668<div class="feature-cell"> 2669<div class="feature-eyebrow">Work History</div> 2670<div class="feature-title">Prior Role History, Every Position, Every Company</div> 2671<div class="feature-body">Employer, title, tenure, and business context for each role. The sequence that shows whether an executive has progressed through the right types of companies at the right scale inflection points.</div> 2672<div class="feature-tags">Role sequence, Tenure data, Company context, Sponsor ownership noted</div> 2673</div> 2674<div class="feature-cell"> 2675<div class="feature-eyebrow">Transaction History</div> 2676<div class="feature-title">Deal Track Record, Performance Linked to Outcomes</div> 2677<div class="feature-body">Every M&A transaction, exit, and financing event at companies the executive has led, linked to their specific role and tenure. Filter by the exact transaction type your client is planning.</div> 2678<div class="feature-tags">Exits, Recapitalizations, Add-on integrations, Exit multiples</div> 2679</div> 2680<div class="feature-cell"> 2681<div class="feature-eyebrow">Company Context</div> 2682<div class="feature-title">Sponsor Ownership and Portfolio Context</div> 2683<div class="feature-body">Which PE firm owns the current company, when they acquired it, and what the typical hold period looks like. Tells search firms whether a candidate is likely available or in a period of transition.</div> 2684<div class="feature-tags">Sponsor ownership, Hold period, Fund strategy, Availability signals</div> 2685</div> 2686<div class="feature-cell"> 2687<div class="feature-eyebrow">Direct Contact</div> 2688<div class="feature-title">Verified Direct Contact Information</div> 2689<div class="feature-body">Direct phone and email, not LinkedIn InMail, not routed through corporate communications. Verified daily by the Dakota research team. Updates automatically when a candidate changes roles.</div> 2690<div class="feature-tags">Direct phone, Verified email, Daily verification, Role change alerts</div> 2691</div> 2692<div class="feature-cell"> 2693<div class="feature-eyebrow">Scale Intelligence</div> 2694<div class="feature-title">Revenue Scale, Company Size and Growth Context</div> 2695<div class="feature-body">Revenue range and employee count of every company the executive has operated. Assess scale fit before screening calls, not during them.</div> 2696<div class="feature-tags">Revenue ranges, Employee counts, Growth stage context, Scale fit assessment</div> 2697</div> 2698</div> 2699</div> 2700</div> 2701<!-- DAY IN THE LIFE --> 2702<div class="workflow-section section"> 2703<div class="section-inner"> 2704<div class="section-tag">A Day in the Life</div> 2705<h2>What an Executive Search Engagement Looks Like <em>With Dakota.</em></h2> 2706<p class="body-text" style="max-width: 700px;">The workflow that used to take two weeks now takes two days.</p> 2707<div class="timeline"> 2708<div class="timeline-item"> 2709<div class="timeline-marker"> 2710<div class="timeline-dot"> </div> 2711<div class="timeline-line"> </div> 2712</div> 2713<div> 2714<div class="timeline-day">Day 1, Mandate Kickoff</div> 2715<div class="timeline-title">PE firm sends the Executive Brief for a new CEO search at a healthcare services portfolio company</div> 2716<div class="timeline-body">The brief specifies: PE-backed operating experience, $100M-$300M revenue, healthcare services background, prior add-on integration experience, geography flexible, $700K-$900K compensation, exit in 3-4 years.</div> 2717<div class="timeline-ai">AI App: Upload the brief, AI reads all criteria, returns ranked list of top 20 CEOs from 150K+ bios who match PE background + healthcare services + scale + add-on experience. Delivered in under 10 minutes.</div> 2718</div> 2719</div> 2720<div class="timeline-item"> 2721<div class="timeline-marker"> 2722<div class="timeline-dot"> </div> 2723<div class="timeline-line"> </div> 2724</div> 2725<div> 2726<div class="timeline-day">Day 1, Afternoon</div> 2727<div class="timeline-title">
2727Review AI-generated longlist, add context from search firm's own network</div> 2728<div class="timeline-body">14 of the 20 AI-matched candidates are strong fits. 6 are close but have one visible disqualifying factor. The search team adds 3 from their own network. Total longlist: 17 qualified names, built in 4 hours rather than 2 weeks.</div> 2729<div class="timeline-ai">Dakota delivers: Full bio on each candidate, prior role history, transaction track record at each prior company, direct contact information for outreach, all in one view.</div> 2730</div> 2731</div> 2732<div class="timeline-item"> 2733<div class="timeline-marker"> 2734<div class="timeline-dot"> </div> 2735<div class="timeline-line"> </div> 2736</div> 2737<div> 2738<div class="timeline-day">Day 2, First Outreach</div> 2739<div class="timeline-title">Call the top 8 candidates directly using Dakota's verified direct contact information</div> 2740<div class="timeline-body">Direct calls to the mobile numbers in Dakota's database, verified current as of this week. The conversation starts with specifics about the candidate's prior PE experience and transaction history, which signals preparation and earns their time.</div> 2741<div class="timeline-ai">Dakota delivers: Direct phone numbers and emails for every candidate on the longlist, verified, current, and updated daily as executives change roles.</div> 2742</div> 2743</div> 2744<div class="timeline-item"> 2745<div class="timeline-marker"> 2746<div class="timeline-dot"> </div> 2747</div> 2748<div> 2749<div class="timeline-day">Day 5, Shortlist Presentation</div> 2750<div class="timeline-title">Present a 6-candidate shortlist to the PE client with full contextual backing</div> 2751<div class="timeline-body">Each candidate presentation includes Dakota's bio summary, role history, transaction track record, and the specific reasons their background aligns with the mandate. PE partners see candidates who have demonstrably done what the role requires.</div> 2752<div class="timeline-ai">AI App: Use Dakota's AI to generate a comparative summary of the 6 shortlisted candidates against the original brief criteria, giving the PE client a structured assessment for their partner review meeting.</div> 2753</div> 2754</div> 2755</div> 2756</div> 2757</div> 2758<!-- PE MARKET --> 2759<div class="market-band"> 2760<div class="section-inner"> 2761<div class="section-tag">Understanding the PE Executive Search Market</div> 2762<h2>Why PE-Mandated Executive Search Is Different, <em>And Why Dakota Is Built for It.</em></h2> 2763<p class="body-text" style="max-width: 720px;">PE clients are the most demanding and most specific executive search clients in the market. Dakota is purpose-built for search firms operating in that environment.</p> 2764<div class="market-grid"> 2765<div class="market-card"> 2766<div class="market-title">Time Is Deal Value, Speed Matters More Than in Corporate Search</div> 2767<div class="market-body">Every month a key role sits vacant is a month of value creation lost. PE firms measure GPs on IRR. Search f
2767irms that compress timelines win more mandates. Dakota's AI compresses the research phase from weeks to hours.</div> 2768<div class="market-tags">AI matching: longlist in minutes, Speed is mandate-winning competitive advantage</div> 2769</div> 2770<div class="market-card"> 2771<div class="market-title">PE Experience Required, Not Optional, Not Interchangeable</div> 2772<div class="market-body">PE clients strongly prefer candidates who have already operated in a PE-owned company and understand board reporting, EBITDA management, and operating partner relationships. Dakota's 150,000+ sponsor-backed profiles enable exactly this search.</div> 2773<div class="market-tags">150K+ sponsor-backed profiles, PE experience flagged, Hold period context</div> 2774</div> 2775<div class="market-card"> 2776<div class="market-title">Briefs Are Specific, The Matching Problem Is Real</div> 2777<div class="market-body">A brief for a $150M healthcare services portco with add-on strategy is meaningfully different from a brief for a $150M IT services portco being prepared for exit. Dakota's AI reads these distinctions and matches accordingly.</div> 2778<div class="market-tags">Brief-specific AI matching, Nuanced criteria processing, Not keyword filtering</div> 2779</div> 2780<div class="market-card"> 2781<div class="market-title">Search Firms Win Mandates From PE Firms, Dakota Helps Win Both</div> 2782<div class="market-body">Dakota serves search firms on two fronts: delivering the right candidates quickly, and identifying PE firms with active portfolio needs. 5,000+ PE firm profiles with hold period signals show which sponsors are in active hiring mode right now.</div> 2783<div class="market-tags">5,000+ PE firms, Portco hold periods, Active hiring signals</div> 2784</div> 2785<div class="market-card"> 2786<div class="market-title">Portco Transactions Equal Immediate Hiring Mandates</div> 2787<div class="market-body">Every PE acquisition creates immediate executive hiring needs. Dakota's transaction feed identifies every new acquisition as a potential search mandate, with the sponsor contact and portco CEO information for proactive BD outreach.</div> 2788<div class="market-tags">20,000+ transactions, New acquisition = new mandate, BD opportunity signal</div> 2789</div> 2790<div class="market-card"> 2791<div class="market-title">Business Development, Know Which PE Firms Need Your Services</div> 2792<div class="market-body">Know which sponsors are active, which portcos are in early hold periods needing management build-out, and which PE firms are expanding in your sector. Dakota replaces inbound referrals with systematic intelligence-driven BD.</div> 2793<div class="market-tags">GP firm contacts, Managing partner access, Portco build-out signals</div> 2794</div> 2795</div> 2796</div> 2797</div> 2798<!-- IMPACT --> 2799<div class="impact-section section"> 2800<div class="section-inner"> 2801<div class="section-tag">Measurable Impact for Executive Search Firms</div> 2802<h2>Four Outcomes That Change <em>How Search Firms Compete for PE Mandates.</em></h2> 2803<p class="body-text" style="max-width: 720px;">Every mandate won faster and with stronger candidates builds the track record that wins the next mandate.</p> 2804<div class="impact-grid"> 2805<div class="impact-card"> 2806<div class="impact-num" style="font-size: 28px; padding-top: 4px;">Days</div> 2807<div class="impact-title">Not Weeks, AI Matching Compresses the Research Phase</div> 2808<div class="impact-body">The first-cut longlist typically takes 1-2 weeks of researcher time. Dakota's AI compresses that to under 10 minutes, shifting capacity from database browsing to candidate engagement and relationship development.</div> 2809<div class="impact-callout">For search firms with 10 active mandates at any time, Dakota's AI saves 20-40 researcher weeks per year, capacity for 4-8 additional mandates at the same headcount.</div> 2810</div> 2811<div class="impact-card"> 2812<div class="impact-num">5-10Ã</div> 2813<div class="impact-title">Expansion in Searchable Executive Universe</div> 2814<div class="impact-body">Most PE-focused search firms cover a few thousand executives well and the rest sparsely. Dakota's 150,000+ profiles expand the searchable universe by 5-10x from day one, surfacing candidates who are exactly what the brief requires but outside the recruiter's existing network.</div> 2815<div class="impact-callout">The most valuable candidates are often the non-obvious ones, the COO of a sponsor-backed industrial
2815company in a secondary market who has exactly the right scale and PE experience but is not in the recruiter's existing network.</div> 2816</div> 2817<div class="impact-card"> 2818<div class="impact-num" style="font-size: 28px; padding-top: 4px;">Stronger</div> 2819<div class="impact-title">Shortlists, Transaction-Backed Track Records, Not Just Titles</div> 2820<div class="impact-body">A shortlist built from full career histories and transaction track records is more defensible to a PE client than one built from LinkedIn profiles. When presenting a CEO candidate, the search firm can point to prior PE-backed companies, exits in their track record, and specific EBITDA growth delivered.</div> 2821<div class="impact-callout">PE clients evaluate shortlists differently than corporate clients. They want operating evidence, not career progression. Dakota gives search firms the evidence layer that makes every presentation more compelling.</div> 2822</div> 2823<div class="impact-card"> 2824<div class="impact-num" style="font-size: 28px; padding-top: 4px;">More</div> 2825<div class="impact-title">PE Mandates, Business Development From Transaction Intelligence</div> 2826<div class="impact-body">Dakota's transaction feed identifies every new PE acquisition as a potential search mandate. Search firms using Dakota for BD know which PE firms have new portcos in their target sectors and when hold periods are reaching inflection points that trigger leadership changes.</div> 2827<div class="impact-callout">The search firm that calls the PE operating partner one week after a new portco acquisition wins mandates that reactive firms never hear about.</div> 2828</div> 2829</div> 2830</div> 2831</div> 2832<!-- CTA / PRICING --> 2833<div class="cta-band"> 2834<div class="cta-inner"> 2835<div class="cta-left"> 2836<div class="section-tag">Pricing and Access</div> 2837<h2>The Most Affordable <em>PE Search Intelligence Tool</em> in the Market.</h2> 2838<p>Priced for individual researchers and partners, not as an enterprise software contract. A single placement fee from one PE-mandated search pays for a full year of Dakota access for your entire team.</p> 2839<a href="/-calendar-executivesearchfirms" class="btn-gold" rel="noopener">See the AI App Live, Upload a Real Brief â</a></div> 2840<div> 2841<div class="pricing-card"> 2842<div class="pricing-header"> 2843<div class="pricing-label">Dakota Marketplace, Executive Search Access</div> 2844<div class="pricing-amount">Custom Pricing</div> 2845<div class="pricing-highlight">⦠AI Brief-to-Candidates App included</div> 2846</div> 2847<div class="pricing-includes"> 2848<div class="pricing-includes-label">Full Access Includes</div> 2849<div class="check-item">Full access to 150,000+ sponsor-backed executive profiles with bios</div> 2850<div class="check-item">Complete career histories and prior role detail for every executive</div> 2851<div class="check-item">Transaction track records linked to each executive's company history</div> 2852<div class="check-item">Verified direct contact information, phone and email, updated daily</div> 2853<div class="check-item">AI app: upload Executive Brief, receive top 20 best-fit candidates</div> 2854<div class="check-item">640,000+ private companies with ownership and sponsor context</div> 2855<div class="check-item">5,000+ PE firm profiles for business development outreach</div> 2856<div class="check-item">Transaction feed, 20,000+ deals + ~2,000 new monthly, mandate signals</div> 2857</div> 2858</div> 2859</div> 2860</div> 2861</div></span></div></span> 2862 2863 <div id="hs_cos_wrapper_module_16669615909423" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><div class="footerGradient"></div> 2864 2865<div class="moduleStyles"> 2866 <div class="bodyContainer"> 2867 <div class="footerWrapper"> 2868 <div class="footerAddress"> 2869 <h4>Address</h4> 2870<p>925 West Lancaster Ave <br>Suite 220 <br>Bryn Mawr, PA 19010 <br>Tel: (610) 642-1481 </p> 2871 </div> 2872 2873 <div class="footerMenuItem"> 2874 <h4 class="footerMenuHeader"> Products & Services </h4> 2875 <span id="hs_cos_wrapper_module_16669615909423_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_simple_menu" style="" data-hs-cos-general-type="widget" data-hs-cos-type="simple_menu"><div id="hs_menu_wrapper_module_16669615909423_" class="hs-menu-wrapper active-branch flyout
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