Private intelligence infrastructure
for the modern enterprise.
Private intelligence infrastructure for companies that want to lead — not follow. Tailored AI systems built around your data, your processes, your people.
Contracts buried in folders. Decisions lost in emails. Knowledge that walks out the door when people leave. We fix this — permanently. Our RAG-first approach makes your existing knowledge instantly searchable, connectable, and useful — then we build custom models and automation on top.
We connect to the tools your team already uses
VecterAI is an AI consulting and product studio founded by master's students at IE University Madrid. We don't believe in AI for the sake of it — we believe in precision-built systems that create tangible, measurable advantage for the businesses that deploy them.
Most companies know they should be doing something with AI. The challenge isn't access — it's direction, trust, and the capacity to build it right. That's where we come in.
As MTGA graduates at IE University, one of Europe's top business schools, we sit at the intersection of business acumen and technical depth. We don't outsource the hard parts. We build everything ourselves — architecture, pipelines, models, and interfaces.
Every engagement begins with a discovery session. We map how information flows through your organisation, identify where intelligence is being lost, and design a system that brings it back — permanently. Then we execute.
Our clients are mid-sized European businesses that want to compete with larger players. Companies that don't have a 20-person AI team internally, but want the same infrastructure. That is exactly what we build for them — privately, isolated, and tailored to their domain.
Every system we build starts with a private intelligence layer — all your documents, emails, and data indexed, connected, and semantically searchable.
Next.js, Supabase, pgvector, Claude API, and n8n. We use what works — not what's fashionable. Every choice is justified, every dependency justified.
Isolated deployments, configurable processing locations, and read-only integrations. We touch nothing we don't need. Your data never trains anyone's model.
We don't just consult — we build and deploy. Every engagement ends with a live, operational system, not a slide deck of recommendations.
Retrieval-Augmented Generation isn't a feature — it's an infrastructure decision. Once your organisation has a private intelligence layer, every model, automation, and product you want to build becomes dramatically faster and more accurate.
Every document, email, note, voice memo, and recording your organisation has ever produced — indexed, connected, and accessible in a private vector database.
A question is asked. The system finds the most semantically relevant content from your private corpus — not the internet. Your specific history and context.
The AI answers using retrieved content only. Specific to your deals, your people, your numbers, your history. Always accurate. Never generic.
We build your organisation's intelligence layer from the ground up. Every source — email, files, messages, voice — connected, processed through our six-phase pipeline, and semantically indexed. The foundation every other service sits on.
With the RAG foundation in place, our data science team builds bespoke models tailored to your domain — classification, prediction, anomaly detection, valuation models. We don't use generic off-the-shelf models. We build yours.
Multi-agent architectures that run autonomously — monitoring, reporting, drafting, alerting, routing. Agents that read your emails, brief you before meetings, flag what needs attention, and handle the repetitive so your team doesn't have to.
Your existing document library — contracts, invoices, NDAs, reports — automatically classified, summarised, cross-linked, and surfaced the moment it matters. Pre-meeting briefings. Commitment tracking. Knowledge onboarding.
End-to-end product builds — internal command centres, customer-facing AI tools, mobile PWAs, dashboards, and reporting systems. From architecture decision records to live deployment. We ship complete products, not prototypes.
Documents processed via frontier AI models. Maximum AI quality. Original files never leave your source system. Anthropic's terms prohibit training on API inputs — your data never trains any model.
Operational documents — meeting notes, correspondence, reports — processed via cloud for maximum quality. Sensitive documents — NDAs, board materials, financials — processed locally. Routing is automatic.
All AI processing runs on infrastructure within your own environment. Zero data leaves at any point. Satisfies the strictest regulatory and confidentiality requirements. Complete sovereignty.
Generic AI tools give generic answers. The organisations winning with AI aren't using ChatGPT for everything — they've built private systems trained on their own data, tuned to their domain, integrated into their workflow. Here's what that looks like in practice.
Firms managing hundreds of client files, contracts, and precedents lose hours daily searching through versions and folders. A RAG system indexes every document — searchable by meaning, not just file name. Associates brief themselves in minutes, not hours.
Complex product catalogues, supplier price lists, installation specifications, and customer histories spread across email and folders. AI agents surface the right spec before a site visit, flag price changes automatically, and generate proposals from historical data.
Investment memos, board packs, valuation reports, and LP updates distributed across inboxes and drives. AI indexes and connects every document, extracts financial figures and entity relationships, and delivers pre-meeting intelligence before every call.
Projects spanning years generate thousands of emails, planning documents, contractor conversations, and legal correspondences. RAG makes every commitment traceable. Agents monitor project threads and surface blockers before they become delays.
Medical histories, treatment protocols, supplier records, and regulatory documents need to be instantly accessible and linkable. AI classifies every record, surfaces relevant history before appointments, and maintains full audit trails automatically.
Tools are commoditising. Generic AI assistants are everywhere. The competitive advantage now sits in the layer below the tool — the private intelligence infrastructure that gives AI your context, your history, your domain. The window to build this before your competitors is open. Not indefinitely.
These figures reflect efficiency gains reported within the first 30 days of going live — before any custom models or automations are layered on top. Phase 1 is the intelligence foundation only.
We start every engagement with a 30-minute discovery call — no decks, no sales process. Just a direct conversation about where your organisation is and where you want it to be.
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CET · Business hours · 30 minutes
We respond to every message within one business day. Discovery calls are 30 minutes and completely free of charge.