1(globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,15926,e=>{"use strict";var t=e.i(43476),s=e.i(57688),a=e.i(22016),n=e.i(71645),r=e.i(19477);let o="https://lmshop.com",i="https://calendly.com/icosacomputing/30min?back=1",l=[{q:"What is Combinatorial Reasoning?",a:"Combinatorial Reasoning is Icosa's physics-based optimization method, developed with NASA and USRA and supported by $1.4 million in funding from the U.S. National Science Foundation. Instead of accepting a model's first chain of thought, it samples many candidate reasoning paths, scores them, and selects the strongest subset. Icosa uses it when building and tuning models, so that small local models reach reasoning quality normally associated with much larger hosted systems."},{q:"What is Zeno, and what do I need to run it?",a:"Zeno is Icosa's local AI workspace for macOS, released August 19, 2026. It learns your documents, code, and terminology on your machine, with nothing to configure and no model selection to manage. All you need is an Apple Silicon Mac; download it at icosa.co/zeno."},{q:"What is Zeno's innovation?",a:"Zeno fits a 35B-parameter model inside a Mac app and makes it act like a much larger system. The model ships in the download, and the workspace around it handles files, documents, and long agent tasks safely, entirely on your machine. Combinatorial Reasoning is one of the training methods behind Icosa's models; the product innovation is Zeno itself: a frontier-style AI workspace that runs and stays entirely on your laptop."},{q:"How fast is Zeno?",a:"On Apple Silicon, Zeno typically generates 20-50 tokens per second, depending on your Mac's memory and what else is running. Because inference is local, there is no rate limit and no queue, and heavy use costs nothing beyond electricity."},{q:"Is local AI fully private?",a:"When the model runs entirely on your own hardware, yes. There is no API call, so nothing is transmitted anywhere. With Icosa, your prompts, documents, and the model weights themselves stay on machines you control, which means no third party ever receives your data in the first place."},{q:"What are some privacy concerns with cloud AI?",a:"Anything you type or upload passes through servers you do not control. That data can be retained, logged, reviewed by staff, or used to train future models, depending on the provider's terms. It c
1an also be exposed in a breach, and shared conversation links have been indexed by search engines. Beyond privacy, the vendor can change pricing, restrict access, or shut a model down without notice."},{q:"Is my data safe when using AI?",a:"It depends entirely on where inference happens. With cloud AI, your data sits inside someone else's system under their retention and access policies. With local AI, you keep custody: your compliance team can audit exactly where data lives, there is no third-party processor to vet, and there is no cloud breach that can expose your files."},{q:"What is data sovereignty?",a:"Data sovereignty is the principle that data is subject to the laws of the country where it is stored and processed. Cloud AI can move your data across borders and into jurisdictions with different rules, which creates real problems under regimes like GDPR. Running models on your own infrastructure keeps data physically inside your jurisdiction and under your own governance."}],c=[{q:"What is on-prem AI?",a:"On-prem (on-premises) AI is AI deployed inside your own infrastructure, such as a workstation, an office server, or your own data center, rather than rented from a cloud provider. Icosa specializes in on-prem AI for regulated firms: small, domain-expert models that run on a few GPUs or even a MacBook, instead of frontier-scale models that need a 1.5 TB cluster."},{q:"What are open-weight models?",a:"Open-weight models are models whose trained parameters are published for anyone to download, so you can run them, fine-tune them, and inspect them on your own hardware. They now catch frontier releases within weeks. Icosa turns open-weight models into domain experts for your specific work, so you get frontier-level results without depending on any single vendor."},{q:"How does Icosa help users with AI privacy?",a:"Icosa removes the cloud from the loop at every stage. LMShop trains a custom model from your own documents, and you download that model and own it outright. Zeno then runs it on your Mac, entirely offline. Combinatorial Reasoning keeps the quality high enough that going private costs you nothing in capability."},{q:"What is a small language model (SLM)?",a:"An SLM is a language model compact enough to run on local hardware, typically billions of parameters instead of trillions. A general frontier model spends most of its capacity on knowledge your team never uses. An SLM fine-tuned on your domain matches frontier output on the work that matters, while being faster, cheaper, and fully private."},{q:"Is local AI free AI?",a:"The inference is. Cloud AI charges per token, so heavy use means growing bills. With local AI, your computer does the work, so usage costs nothing beyond electricity. An agent can run thousands of steps overnight for pennies, with no subscription scaling against you, no token meter, and no rate limits."},{q:"Does Zeno need an internet connection?",a:"No. The model ships inside the app, so inference happens on your Mac and Zeno keeps working with Wi-Fi off. You only need a connection for the initial download and for optional updates. That is also the privacy guarantee: nothing can leave a machine that is not transmitting."}],d=[...l,...c];function h({q:e,a:s}){let[a,r]=(0,n.useState)(!1);return(0,t.jsxs)("div",{className:"border-t border-white/10",children:[(0,t.jsxs)("button",{type:"button",onClick:()=>r(e=>!e),"aria-expanded":a,className:"flex w-full cursor-pointer items-center justify-between gap-4 py-5 text-left",children:[(0,t.jsx)("h3",{className:"text-base font-medium text-white",children:e}),(0,t.jsx)("svg",{className:`h-4 w-4 shrink-0 text-neutral-500 transition-transform duration-300 ease-out ${a?"rotate-180 text-[#a78bfa]":""}`,fill:"none",stroke:"currentColor",strokeWidth:"2",viewBox:"0 0 24 24","aria-hidden":!0,children:(0,t.jsx)("path",{strokeLinecap:"round",strokeLinejoin:"round",d:"M19 9l-7 7-7-7"})})]}),(0,t.jsx)("div",{className:`grid transition-all duration-300 ease-out ${a?"grid-rows-[1fr] opacity-100":"grid-rows-[0fr] opacity-0"}`,children:(0,t.jsx)("div",{className:"overflow-hidden",children:(0,t.jsx)("p",{className:"pb-6 pr-8 text-sm leading-relaxed text-neutral-400",children:s})})})]})}let m=(1+Math.sqrt(5))/2,u=[[0,1,m],[0,-1,m],[0,1,-m],[0,-1,-m],[1,m,0],[-1,m,0],[1,-m,0],[-1,-m,0],[m,0,1],[m,0,-1],[-m,0,1],[-m,0,-1]],x=(()=>{let e=(e,t)=>
1Math.hypot(u[e][0]-u[t][0],u[e][1]-u[t][1],u[e][2]-u[t][2]),t=1/0;for(let s=0;s<12;s++)for(let a=s+1;a<12;a++)t=Math.min(t,e(s,a));let s=[];for(let a=0;a<12;a++)for(let n=a+1;n<12;n++)e(a,n)<=1.02*t&&s.push([a,n]);return s})();function p({className:e=""}){let[s,a]=(0,n.useState)(0);(0,n.useEffect)(()=>{if(window.matchMedia("(prefers-reduced-motion: reduce)").matches)return;let e=0,t=performance.now(),s=n=>{a(e=>e+(n-t)*35e-5),t=n,e=requestAnimationFrame(s)};return e=requestAnimationFrame(s),()=>cancelAnimationFrame(e)},[]);let r=.8+s,o=Math.sin(r),i=Math.cos(r),l=u.map(([e,t,s])=>{let a=-o*e+i*s;return[62*(i*e+o*s)+150,62*(.8253356149096783*t-.5646424733950354*a)+150,.5646424733950354*t+.8253356149096783*a]});return(0,t.jsxs)("svg",{viewBox:"0 0 300 300",className:e,"aria-hidden":!0,children:[x.map(([e,s],a)=>{let n=(l[e][2]+l[s][2])/2/m;return(0,t.jsx)("line",{x1:l[e][0],y1:l[e][1],x2:l[s][0],y2:l[s][1],stroke:"#7c3aed",strokeOpacity:.3+.35*(n+1)/2,strokeWidth:"1"},a)}),l.map(([e,s,a],n)=>(0,t.jsx)("circle",{cx:e,cy:s,r:a>0?2.4:1.8,fill:"#a78bfa",fillOpacity:.55+.45*(a/m+1)/2},n))]})}function g(){let[e,s]=(0,n.useState)("");return((0,n.useEffect)(()=>{s("[email protected]")},[]),e)?(0,t.jsx)(a.default,{href:`mailto:${e}`,className:"transition-colors hover:text-white",children:e}):(0,t.jsx)("span",{children:"Email us"})}function f(){let e=(0,n.useRef)(null),m=(0,n.useRef)(!1),[u,x]=(0,n.useState)(!1);(0,n.useEffect)(()=>{let t=e.current;if(!t)return;t.scrollLeft=t.scrollWidth/4;let s=t.scrollLeft,a=setInterval(()=>{if(!m.current){if(t.scrollLeft!==s){s=t.scrollLeft;return}t.scrollLeft-=1,t.scrollLeft<=0&&(t.scrollLeft+=t.scrollWidth/4),s=t.scrollLeft}},20);return()=>clearInterval(a)},[]);let f=[{src:"fujitsu.png",alt:"Fujitsu",url:"https://www.fujitsu.com/global/services/caas/fapforcaas/"},{src:"nec_white.png",alt:"NEC",url:"https://thequantuminsider.com/2024/04/12/icosa-and-nec-present-quantum-inspired-solution-for-financial-markets/"},{src:"toshiba.png",alt:"Toshiba",url:"https://www.global.toshiba/ww/products-solutions/ai-iot/sbm/partner.html"},{src:"nasa.png",alt:"NASA",url:"https://ntrs.nasa.gov/citations/20240006223"},{src:"nsf.png",alt:"National Science Foundation",url:"https://nsf.elsevierpure.com/en/projects/sttr-fast-track-combinatorial-reasoning-2/"},{src:"usra_white.png",alt:"USRA",url:"https://www.usra.edu/"},{src:"algoquant.png",alt:"Algoquant",url:"https://algoquant.in/"},{src:"unluco_white.png",alt:"UNLU & Co",url:"https://www.unluco.com/"},{src:"bener_white.png",alt:"Bener Law Office",url:"https://www.bener.com/"},{src:"duality.png",alt:"Duality",url:"https://www.dualityaccelerator.com/innovators/cohort-2/icosa-computing/"},{src:"cdl.png",alt:"Creative Destruction Lab",url:"https://creativedestructionlab.com/companies/icosa-computing/"}];return(0,t.jsxs)("main",{className:"min-h-screen bg-neutral-950 text-neutral-50",children:[(0,t.jsx)("script",{type:"application/ld+json",dangerouslySetInnerHTML:{__html:JSON.stringify({"@context":"https://schema.org","@type":"FAQPage",mainEntity:d.map(e=>({"@type":"Question",name:e.q,acceptedAnswer:{"@type":"Answer",text:e.a}}))})}}),(0,t.jsx)("section",{className:"border-b border-white/10",children:(0,t.jsx)("div",{className:"mx-auto max-w-6xl px-6 lg:px-8",children:(0,t.jsxs)("div",{className:"grid items-center gap-16 py-24 md:grid-cols-12 md:py-32",children:[(0,t.jsxs)("div",{className:"md:col-span-8",children:[(0,t.jsx)("p",{className:"font-mono text-xs uppercase tracking-[0.25em] text-neutral-500",children:"Icosa Computing"}),(0,t.jsx)("h1",{className:"mt-6 max-w-2xl text-4xl font-semibold leading-[1.12] tracking-tight sm:text-5xl",children:"Local AI that learns the work."}),(0,t.jsx)("p",{className:"mt-6 max-w-xl text-lg leading-relaxed text-neutral-400",children:"Everything you love about your AI assistant, without usage limits or bills that grow out of control. Icosa runs on your computer, not in the cloud."}),(0,t.jsxs)("ul",{className:"mt-7 space-y-2.5 text-base text-neutral-400",children:[(0,t.jsxs)("li",{children:[(0,t.jsx)("span",{className:"font-medium text-white",children:"No token costs."})," ","Use it as much as you want."]}),(0,t.jsxs)("li",{children:[(0,t.jsx)("span",{className:"font-medium text-white",children:"Super fast."})," ","Answers instantly, right on your device."]}),(0,t.jsxs)("li",{children:[(0,t.jsx)("span",{className:"font-medium text-white",children:"Private."})," ","Your files never leave your computer."]})]}),(0,t.jsxs)("div",{className:"mt-10 flex flex-wrap items-center gap-6",children:[(0,t.jsx)(a.default,{href:"/zeno",className:"rounded-md bg-[#7c3aed] px-6 py-3 text-sm font-medium text-white transition-colors hover:bg-[#6d31d4]",children:"Download Zeno today"}),(0,t.jsx)(a.default,{href:"/zeno",className:"text-sm font-medium text-neutral-300 transition-colors hover:text-white",children:"Zeno is out now â"})]})]}),(0,t.jsx)("div",{className:"hidden md:col-span-4 md:block",children:(0,t.jsx)(p,{className:"mx-auto w-full max-w-[280px]"})})]})})}),(0,t.jsx)("section",{className:"border-b border-white/10",children:(0,t.jsxs)("div",{className:"py-12",children:[(0,t.jsx)("p",{className:"text-center font-mono text-xs uppercase tracking-[0.25em] text-neutral-500",children:"Partners & Supporters"}),(0,t.jsx)("div",{ref:e,onMouseEnter:()=>{m.current=!0},onMouseLeave:()=>{m.current=!1},className:"scrollbar-hide logo-fade-mask relative mt-8 w-full overflow-x-auto",children:(0,t.jsx)("div",{className:"flex w-max gap-12 px-4 py-2",children:f.concat(f).concat(f).concat(f).map((e,n)=>(0,t.jsx)(a.default,{href:e.url,target:"_blank",rel:"noopener noreferrer",className:"flex h-16 w-auto shrink-0 items-center justify-center opacity-90 transition-transform duration-150 ease-out hover:scale-110 hover:opacity-100",children:(0,t.jsx)(s.default,{src:`/logos/${e.src}`,alt:e.alt,width:140,height:140,className:"logo-boost h-auto max-h-16 w-auto object-contain"})},n))})})]})}),(0,t.jsx)("section",{className:"border-b border-white/10",children:(0,t.jsx)("div",{className:"mx-auto max-w-6xl px-6 lg:px-8",children:(0,t.jsxs)("div",{className:"grid divide-y divide-white/10 sm:grid-cols-3 sm:divide-x sm:divide-y-0",children:[(0,t.jsxs)("div",{className:"px-2 py-10 sm:px-8",children:[(0,t.jsx)("div",{className:"font-mono text-3xl text-white",children:"$0"}),(0,t.jsx)("div",{className:"mt-2 text-sm text-neutral-500",children:"Token costs"})]}),(0,t.jsxs)("div",{className:"px-2 py-10 sm:px-8",children:[(0,t.jsx)("div",{className:"font-mono text-3xl text-white",children:"100%"}),(0,t.jsx)("div",{className:"mt-2 text-sm text-neutral-500",children:"Compute on your hardware"})]}),(0,t.jsxs)(a.default,{href:"https://nsf.elsevierpure.com/en/projects/sttr-fast-track-combinatorial-reasoning-2/",target:"_blank",rel:"noopener noreferrer",className:"group block px-2 py-10 sm:px-8",children:[(0,t.jsxs)("div",{className:"flex items-center gap-3",children:[(0,t.jsx)(s.default,{src:"/logos/nsf.png",alt:"U.S. National Science Foundation",width:44,height:44,className:"h-11 w-11 object-contain"}),(0,t.jsx)("div",{className:"font-mono text-3xl text-white",children:"$1.4M"})]}),(0,t.jsx)("div",{className:"mt-2 text-sm text-neutral-300 transition-colors group-hover:text-white",children:"NSF research funding â"})]})]})})}),(0,t.jsx)("section",{id:"products",className:"scroll-mt-20 border-b border-white/10",children:(0,t.jsxs)("div",{className:"mx-auto max-w-6xl px-6 py-24 lg:px-8",children:[(0,t.jsx)("p",{className:"font-mono text-xs uppercase tracking-[0.25em] text-neutral-500",children:"Products"}),(0,t.jsx)("div",{id:"zeno",className:"mt-10 scroll-mt-24 rounded-lg border border-white/10",children:(0,t.jsxs)("div",{className:"grid gap-10 p-8 sm:p-12 lg:grid-cols-12",children:[(0,t.jsxs)("div",{className:"lg:col-span-7",children:[(0,t.jsxs)("div",{className:"flex items-center gap-3",children:[(0,t.jsx)("h2",{className:"text-2xl font-semibold tracking-tight",children:"Zeno: Local Work"}),(0,t.jsx)("span",{className:"rounded border border-white/15 px-2 py-0.5 font-mono text-[11px] uppercase tracking-wider text-neutral-400",children:"macOS"})]}),(0,t.jsx)("p",{className:"mt-4 max-w-lg text-base leading-relaxed text-neutral-400",children:"The local AI workspace that learns your work. Zeno adapts to your documents, code, and terminology, entirely on your machine, with no model selection or setup."}),(0,t.jsx)(a.default,{href:"https://localwork.ai",className:"mt-8 inl
1ine-block rounded-md bg-[#7c3aed] px-6 py-3 text-sm font-medium text-white transition-colors hover:bg-[#6d31d4]",children:"Download Zeno for Mac"})]}),(0,t.jsxs)("div",{className:"lg:col-span-5 lg:border-l lg:border-white/10 lg:pl-10",children:[(0,t.jsx)("p",{className:"font-mono text-xs uppercase tracking-[0.25em] text-neutral-500",children:"Launched August 19, 2026"}),(0,t.jsxs)("ul",{className:"mt-5 space-y-2.5 font-mono text-sm text-neutral-400",children:[(0,t.jsx)("li",{children:"35B-parameter model on your MacBook"}),(0,t.jsx)("li",{children:"Generates 20-50 tokens/sec locally"}),(0,t.jsx)("li",{children:"$0 per token, works fully offline"})]})]})]})}),(0,t.jsx)("div",{id:"lmshop",className:"mt-6 scroll-mt-24 rounded-lg border border-white/10",children:(0,t.jsxs)("div",{className:"grid gap-10 p-8 sm:p-12 lg:grid-cols-12",children:[(0,t.jsxs)("div",{className:"lg:col-span-7",children:[(0,t.jsxs)("div",{className:"flex items-center gap-3",children:[(0,t.jsx)("h2",{className:"text-2xl font-semibold tracking-tight",children:"LMShop"}),(0,t.jsx)("span",{className:"rounded border border-white/15 px-2 py-0.5 font-mono text-[11px] uppercase tracking-wider text-neutral-400",children:"Web"})]}),(0,t.jsx)("p",{className:"mt-4 max-w-lg text-base leading-relaxed text-neutral-400",children:"The ultimate garage for your own AI models. Bring your documents, build a custom model, tune it, and race it against the frontier. Drive it out and run it anywhere you like, or straight inside Zeno."}),(0,t.jsx)(a.default,{href:o,target:"_blank",rel:"noopener noreferrer",onClick:()=>{(0,r.trackGtmEvent)("lmshop_click",{button_location:"home_page"}),(0,r.trackGtmLinkClick)(o,{event_name:"try_icosa_chat_click",button_location:"home_products"})},className:"mt-8 inline-block rounded-md border border-white/20 px-6 py-3 text-sm font-medium text-white transition-colors hover:border-white/40",children:"Use LMShop"})]}),(0,t.jsxs)("div",{className:"lg:col-span-5 lg:border-l lg:border-white/10 lg:pl-10",children:[(0,t.jsx)("p",{className:"font-mono text-xs uppercase tracking-[0.25em] text-neutral-500",children:"How it works"}),(0,t.jsxs)("ol",{className:"mt-5 space-y-2.5 font-mono text-sm text-neutral-400",children:[(0,t.jsx)("li",{children:"1. Upload your docs"}),(0,t.jsx)("li",{children:"2. Train with no code, in minutes"}),(0,t.jsx)("li",{children:"3. Download & run locally"})]})]})]})})]})}),(0,t.jsx)("section",{className:"border-b border-white/10",children:(0,t.jsxs)("div",{className:"mx-auto max-w-6xl px-6 py-24 lg:px-8",children:[(0,t.jsxs)("h2",{className:"max-w-2xl text-3xl font-semibold leading-tight tracking-tight",children:["Your hardware does the compute.",(0,t.jsx)("br",{}),(0,t.jsx)("span",{className:"text-neutral-500",children:"Usage never adds a bill."})]}),(0,t.jsx)("div",{className:"mt-16 grid gap-12 md:grid-cols-3",children:[{label:"01",title:"Zero token costs",desc:"Agentic work turns one request into many model calls. On rented AI, that compounds a bill. On Icosa, it costs nothing."},{label:"02",title:"Private by design",desc:"Files, prompts, and model weights never leave machines you control. No cloud dependency and no vendor shutdowns."},{label:"03",title:"Expert accuracy",desc:"Combinatorial Reasoning scores many answer paths and selects the strongest, closing the gap with hosted frontier models."}].map(e=>(0,t.jsxs)("div",{children:[(0,t.jsx)("p",{className:"font-mono text-xs text-neutral-600",children:e.label}),(0,t.jsx)("h3",{className:"mt-3 text-lg font-medium",children:e.title}),(0,t.jsx)("p",{className:"mt-3 text-sm leading-relaxed text-neutral-400",children:e.desc})]},e.title))})]})}),(0,t.jsx)("section",{className:"border-b border-white/10",children:(0,t.jsx)("div",{className:"mx-auto max-w-6xl px-6 py-24 lg:px-8",children:(0,t.jsxs)("div",{children:[(0,t.jsx)("p",{className:"font-mono text-xs uppercase tracking-[0.25em] text-neutral-500",children:"Research"}),(0,t.jsx)("h2",{className:"mt-6 text-3xl font-semibold leading-tight tracking-tight",children:"Many reasoning paths. One better answer."}),(0,t.jsx)("p",{className:"mt-5 max-w-2xl text-base leading-relaxed text-neutral-400",children:"Combinatorial Reasoning is a physics-based optimization method developed with NASA and funded by the National Science Foundation. It samples many reasoning traces, scores them, and selects the strongest set before answering, so small local models perform like much larger ones on the work they know."}),(0,t.jsxs)("div",{className:"mt-8 flex flex-wrap items-center gap-6 text-sm font-medium",children:[(0,t.jsx)(a.default,{href:"/combinatorial-reasoning",className:"text-neutral-300 transition-colors hover:text-white",children:"How it works â"}),(0,t.jsx)(a.default,{href:"/publications",className:"text-neutral-300 transition-colors hover:text-white",children:"Publications â"})]}),(0,t.jsxs)("div",{className:"mt-12 rounded-lg border border-white/10 bg-[#0a0a0b] p-6 sm:p-8",children:[(0,t.jsx)(s.default,{src:"/cr-figure-dark.png",alt:"Combinatorial Reasoning pipeline from the Icosa paper: sampled reasons are mapped to a QUBO problem, optimized, and the selected reasons feed the final prompt",width:1784,height:507,className:"w-full rounded"}),(0,t.jsx)("p",{className:"mt-5 text-center font-mono text-xs text-neutral-600",children:"Esencan et al., arXiv:2407.00071"})]})]})})}),(0,t.jsx)("section",{id:"team",className:"scroll-mt-20 border-b border-white/10",children:(0,t.jsxs)("div",{className:"mx-auto max-w-6xl px-6 py-24 lg:px-8",children:[(0,t.jsx)("p",{className:"font-mono text-xs uppercase tracking-[0.25em] text-neutral-500",children:"Team"}),(0,t.jsx)("h2",{className:"mt-6 max-w-2xl text-3xl font-semibold leading-tight tracking-tight",children:"Deep-tech researchers, shipping product."}),(0,t.jsx)("div",{className:"mt-14 grid gap-x-12 gap-y-12 sm:grid-cols-2 lg:grid-cols-3",children:[{name:"Mert Esencan",role:"Founder & CEO",bio:"Stanford BS/MS, Oxford quantum PhD. Ex-Fidelity researcher.",linkedin:"https://www.linkedin.com/in/mertesencan/"},{name:"Can Unlu",role:"Software",bio:"UVA Math & CS. Founding engineer of the optimization stack.",linkedin:"https://www.linkedin.com/in/can-unlu-735020189/"},{name:"Tarun Advaith",role:"Research",bio:"Waterloo PhD. Drives Icosa research; author of ML and quantum papers."},{name:"Baran Melik",role:"Go-to-Market",bio:"Duke MBA. Drives go-to-market and revenue operations.",linkedin:"https://www.linkedin.com/in/baranmelik/"}
1,{name:"Alan Ho",role:"Product",bio:"Ex-Google Head of Quantum AI Product. Co-founder of Qolab.",linkedin:"https://www.linkedin.com/in/karlunho/"},{name:"Mark Gurvis",role:"Revenue",bio:"Ex-Google Head of Strategic Platforms. Scales revenue.",linkedin:"https://www.linkedin.com/in/gurvis/"}].map(e=>(0,t.jsxs)("div",{className:"border-t border-white/10 pt-5",children:[(0,t.jsxs)("div",{className:"flex items-center justify-between gap-3",children:[(0,t.jsx)("h3",{className:"text-base font-medium text-white",children:e.name}),e.linkedin&&(0,t.jsx)(a.default,{href:e.linkedin,target:"_blank",rel:"noopener noreferrer","aria-label":`${e.name} on LinkedIn`,className:"text-neutral-600 transition-colors hover:text-white",children:(0,t.jsx)("svg",{className:"h-4 w-4",fill:"currentColor",viewBox:"0 0 24 24","aria-hidden":!0,children:(0,t.jsx)("path",{d:"M4.98 3.5C4.98 4.88 3.88 6 2.5 6S0 4.88 0 3.5 1.12 1 2.5 1 4.98 2.12 4.98 3.5zM0 8h5v16H0V8zm7.5 0h4.8v2.2h.07c.67-1.27 2.3-2.6 4.73-2.6 5.06 0 6 3.33 6 7.66V24h-5v-7.5c0-1.8-.03-4.1-2.5-4.1-2.5 0-2.88 1.95-2.88 3.97V24h-5V8z"})})})]}),(0,t.jsx)("p",{className:"mt-1 font-mono text-xs uppercase tracking-wider text-neutral-500",children:e.role}),(0,t.jsx)("p",{className:"mt-3 text-sm leading-relaxed text-neutral-400",children:e.bio})]},e.name))})]})}),(0,t.jsx)("section",{id:"faq",className:"scroll-mt-20 border-b border-white/10",children:(0,t.jsxs)("div",{className:"mx-auto max-w-6xl px-6 py-24 lg:px-8",children:[(0,t.jsx)("p",{className:"font-mono text-xs uppercase tracking-[0.25em] text-neutral-500",children:"FAQ"}),(0,t.jsx)("h2",{className:"mt-6 text-3xl font-semibold leading-tight tracking-tight",children:"Frequently asked questions"}),(0,t.jsx)("p",{className:"mt-5 max-w-2xl text-base leading-relaxed text-neutral-400",children:"Local AI, private and secure AI, on-prem deployment, data sovereignty, small language models, and how Combinatorial Reasoning works."}),(0,t.jsxs)("div",{className:"mt-12 max-w-3xl",children:[(0,t.jsxs)("div",{className:"border-b border-white/10",children:[l.map(e=>(0,t.jsx)(h,{q:e.q,a:e.a},e.q)),(0,t.jsx)("div",{className:`grid transition-all duration-500 ease-out ${u?"grid-rows-[1fr] opacity-100":"grid-rows-[0fr] opacity-0"}`,children:(0,t.jsx)("div",{className:"overflow-hidden",children:c.map(e=>(0,t.jsx)(h,{q:e.q,a:e.a},e.q))})})]}),(0,t.jsxs)("button",{type:"button",onClick:()=>x(e=>!e),"aria-expanded":u,className:"mt-8 inline-flex cursor-pointer items-center gap-2 rounded-md border border-white/20 px-5 py-2.5 text-sm font-medium text-neutral-300 transition-colors hover:border-white/40 hover:text-white",children:[u?"Show fewer questions":"View more questions",(0,t.jsx)("svg",{className:`h-4 w-4 transition-transform duration-300 ease-out ${u?"rotate-180":""}`,fill:"none",stroke:"currentColor",strokeWidth:"2",viewBox:"0 0 24 24","aria-hidden":!0,children:(0,t.jsx)("path",{strokeLinecap:"round",strokeLinejoin:"round",d:"M19 9l-7 7-7-7"})})]})]})]})}),(0,t.jsx)("section",{className:"border-b border-white/10",children:(0,t.jsxs)("div",{className:"mx-auto max-w-6xl px-6 py-24 lg:px-8",children:[(0,t.jsx)("h2",{className:"max-w-2xl text-3xl font-semibold leading-tight tracking-tight",children:"AI shouldn't be rented by the token."}),(0,t.jsx)("p",{className:"mt-4 max-w-xl text-base text-neutral-400",children:"Bring owned, private AI to your team, on the hardware you already have."}),(0,t.jsx)("div",{className:"mt-10 flex flex-wrap items-center gap-6",children:(0,t.jsx)(a.default,{href:i,target:"_blank",rel:"noopener noreferrer",onClick:()=>(0,r.trackGtmLinkClick)(i,{event_name:"request_demo_click",button_location:"home_bottom_cta"}),className:"rounded-md bg-[#7c3aed] px-6 py-3 text-sm font-medium text-white transition-colors hover:bg-[#6d31d4]",children:"Request a demo"})})]})}),(0,t.jsx)("footer",{children:(0,t.jsxs)("div",{className:"mx-auto max-w-6xl px-6 py-16 lg:px-8",children:[(0,t.jsxs)("div",{className:"grid gap-12 md:grid-cols-4",children:[(0,t.jsxs)("div",{children:[(0,t.jsx)(s.default,{src:"/icosa-logo.png",alt:"Icosa Computing",width:110,height:36}),(0,t.jsx)("p",{className:"mt-4 max-w-xs text-sm leading-relaxed text-neutral-500",children:"Owned AI for every team, always under your control."})]}),(0,t.jsxs)("div",{children:[(0,t.jsx)("h4",{className:"font-mono text-xs uppercase tracking-[0.2em] text-neutral-500",children:"Products"}),(0,t.jsxs)("ul",{className:"mt-4 space-y-2.5 text-sm text-neutral-400",children:[(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"#zeno",className:"transition-colors hover:text-white",children:"Zeno"})}),(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:o,target:"_blank",rel:"noopener noreferrer",className:"transition-colors hover:text-white",children:"LMShop"})}),(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"/waitlist",className:"transition-colors hover:text-white",children:"Early access"})}),(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"/manifesto",className:"transition-colors hover:text-white",children:"Manifesto"})}),(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"/terms",className:"transition-colors hover:text-white",children:"Terms"})})]})]}),(0,t.jsxs)("div",{children:[(0,t.jsx)("h4",{className:"font-mono text-xs uppercase tracking-[0.2em] text-neutral-500",children:"Company"}),(0,t.jsxs)("ul",{className:"mt-4 space-y-2.5 text-sm text-neutral-400",children:[(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"/blog",className:"transition-colors hover:text-white",children:"Blog"})}),(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"/publications",className:"transition-colors hover:text-white",children:"Publications"})}),(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"/#faq",className:"transition-colors hover:text-white",children:"FAQ"})}),(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"https://cr-api.icosacomputing.com/developer/",target:"_blank",rel:"noopener noreferrer",className:"transition-colors hover:text-white",children:"Docs"})})]})]}),(0,t.jsxs)("div",{children:[(0,t.jsx)("h4",{className:"font-mono text-xs uppercase tracking-[0.2em] text-neutral-500",children:"Contact"}),(0,t.jsxs)("ul",{className:"mt-4 space-y-2.5 text-sm text-neutral-400",children:[(0,t.jsx)("li",{children:"310 Greenwich St, New York, NY 10013"}),(0,t.jsx)("li",{children:(0,t.jsx)(g,{})}),(0,t.jsx)("li",{children:(0,t.jsx)(a.default,{href:"https://www.linkedin.com/company/icosa-computing",target:"_blank",rel:"noopener noreferrer",className:"transition-colors hover:text-white",children:"LinkedIn"})})]})]})]}),(0,t.jsxs)("div",{className:"mt-14 border-t border-white/10 pt-6 text-sm text-neutral-600",children:["© ",new Date().getFullYear()," Icosa Computing Inc."]})]})})]})}e.s(["default",()=>f])}]);
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.