1import{E as u,B as g,h as a,e as t,i as r,M as x,F as l,v as d,k as p,u as h,s as i,y as n}from"./DWUitZYM.js";import{F as b}from"./vM-a-Aom.js";import y from"./DLdgG-JC.js";import{u as f}from"./C2LooU-q.js";import"./D7TJAmAG.js";const w={class:"bg-white min-h-screen"},v={class:"bg-gray-900 text-white px-12 sm:px-20 py-24"},k={class:"px-12 sm:px-20 py-20 max-w-5xl"},A={class:"grid grid-cols-1 sm:grid-cols-2 gap-6"},I={class:"text-lg font-semibold text-gray-900 mb-2"},L={class:"text-gray-600 text-sm"},_={class:"bg-gray-100 px-12 sm:px-20 py-20"},S={class:"flex flex-wrap gap-3"},G={__name:"ai-solutions",setup(C){const o=h(!1);u({title:"AI Solutions & Bot Development",description:"Arpacore builds AI-powered systems, LLM integrations, automation bots, and intelligent workflows for businesses across the Netherlands and Italy.",ogTitle:"AI Solutions & Bot Development | Arpacore",ogDescription:"Custom AI systems, LLM integrations, automation bots, and recommendation engines. Built by Arpacore in Netherlands and Italy.",ogImage:"https://arpacore.com/images/aibot.webp",ogUrl:"https://arpacore.com/services/ai-solutions",ogType:"website",twitterCard:"summary_large_image"}),g({link:[{rel:"canonical",href:"https://arpacore.com/services/ai-solutions"}]}),f("ai-solutions");const c=[{title:"LLM Integration",description:"Connecting OpenAI, Anthropic Claude, or Gemini to your product for summarisation, generation, classification, and Q&A."},{title:"Conversational Bots",description:"Customer support bots, internal knowledge assistants, and lead qualification chatbots with context-aware dialogue."},{title:"Process Automation",description:"AI-driven workflows that replace manual data entry, document processing, and routing decisions."},{title:"Recommendation Engines",description:"Personalisation systems using collaborative filtering, content-based, or hybrid approaches."},{title:"RAG Systems",description:"Retrieval-Augmented Generation pipelines that let LLMs answer questions from your proprietary data."},{title:"Data Pipelines",description:"ETL pipelines, embeddings, vector databases, and ML inference infrastructure."}],m=["OpenAI API","Anthropic Claude","LangChain","Pinecone","pgvector","Python","FastAPI","Node.js","AWS SageMaker","Telegram Bot API"];return(M,e)=>(i(),a("div",w,[t("div",v,[e[2]||(e[2]=r('<p class="text-orange-brand text-sm font-semibold uppercase tracking-widest mb-4"><a href="/services" class="hover:underline">Services</a></p><h1 class="text-5xl md:text-6xl font-bold mb-6 uppercase tracking-wide">AI Solutions<br><span class="text-orange-brand">& Bot Development</span></h1><p class="text-lg md:text-xl text-white/80 max-w-3xl">We build AI-powered systems that automate workflows, personalise user experiences, and surface insights from your data â using LLMs, custom ML models, and intelligent bot infrastructure.</p>',3)),t("a",{href:"#",onClick:e[0]||(e[0]=x(s=>o.value=!0,["prevent"])),class:"mt-8 inline-block bg-orange-brand text-white font-semibold px-6 py-3 rounded-md hover:bg-orange-600 transition"},"Get a quote")]),t("section",k,[e[3]||(e[3]=t("h2",{class:"text-3xl font-bold mb-6 text-gray-900 uppercase tracking-wide"},"What We Deliver",-1)),t("div",A,[(i(),a(l,null,d(c,s=>t("div",{key:s.title,class:"border border-gray-200 rounded-md p-6"},[t("h3",I,n(s.title),1),t("p",L,n(s.description),1)])),64))])]),t("section",_,[e[4]||(e[4]=t("h2",{class:"text-3xl font-bold mb-6 text-gray-900 uppercase tracking-wide"},"Technology Stack",-1)),t("div",S,[(i(),a(l,null,d(m,s=>t("span",{key:s,class:"bg-white border border-gray-300 text-gray-700 text-sm font-medium px-4 py-2 rounded-md"},n(s),1)),64))])]),e[5]||(e[5]=r('<section class="px-12 sm:px-20 py-20 max-w-5xl"><h2 class="text-3xl font-bold mb-6 text-gray-900 uppercase tracking-wide">Who This Is For</h2><ul class="space-y-3 text-lg text-gray-700 list-disc list-inside"><li>Businesses with repetitive processes that could be partially or fully automated</li><li>Products that need intelligent personalisation or recommendation features</li><li>Companies wanting to add a conversational AI layer to their app or website</li><li>Teams integrating LLMs (GPT, Claude, Gemini) into custom workflows</li></ul><p class="mt-6 text-gray-600">Related reading: <a href="/news/recommendation-engines-how-they-work-and-why-theyre-useful" class="text-orange-brand hover:underline">recommendation engines</a>, <a href="/news/app-automation-reducing-manual-work-through-software" class="text-orange-brand hover:underline">app automation</a>.</p></section>',1)),p(y,{modelValue:o.value,"onUpdate:modelValue":e[1]||(e[1]=s=>o.value=s)},null,8,["modelValue"]),p(b)]))}};export{G as default};
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.