We help you put AI to work — we use it, teach it, and build it.
Production-ready AI systems, not demos.
Knowledge bases + LLM: semantic search, chunking, vector stores, and contextual answers grounded in your documents.
Multi-step autonomous agents that plan, use tools, and iterate. Built with LangGraph and Claude API.
Connect Claude, OpenAI, and open-source LLMs to your product. From prompt engineering to production pipelines.
End-to-end from zero to production: Next.js + FastAPI + Supabase + AI. One team, full ownership.
Workflow automation with n8n, APIs, webhooks, and custom pipelines. WhatsApp API and conversational AI included.
From MVP to production-ready SaaS. Auth, billing, multi-tenancy, and infrastructure that scales.
Real architectures we ship — not abstract promises.
Knowledge base + LLM: your documents become searchable, contextual answers.
Multi-step agents that plan, call tools, and iterate — LangGraph + Claude API.
We work with companies in finance, retail, agro, and professional services.
One of the few studios that builds production systems on Claude API — a differentiator clients actively search for.
We ship what comes after the proof-of-concept: systems that handle real users, real data, and real edge cases.
Front + back + AI + DB + deploy. One studio owns the entire stack — no subcontracting, no handoffs.
Semantic search, chunking, vector stores, and contextual answers — the #1 skill in the AI job market.
Senior engineers at competitive rates with timezone overlap for EU, UK, and US clients.
Anonymized cases — problem, approach, and measurable capability gains.
Problem: Manual credit review and compliance monitoring eating hours every week.
Approach: RAG over internal docs + automated regulatory tracking with AI agents.
Result: Credit assessments in seconds instead of hours — with full audit trail.
Problem: Contract review and due diligence bottlenecking deal flow.
Approach: LLM-powered document analysis with human-in-the-loop validation.
Result: First-pass review in minutes — lawyers focus on judgment, not reading.
Problem: Export documentation and logistics coordination across multiple locations.
Approach: Automated pipelines for docs, scheduling, and buyer coordination.
Result: Documentation processed in seconds — teams focus on operations, not paperwork.
Two ways to work with us — pick the model that fits your project.
Greenfield AI products — RAG, agents, and LLM integrations scoped and shipped on a classic project timeline.
We map your processes, stack, and bottlenecks. You get a scoped plan with clear deliverables.
We build and deploy your first automation or AI system — in production, not staging.
Defined development work through our 12-stage conveyor — AI agents, human review, and continuous iteration. See the full pipeline →
A ~10 min automation plan, then two sync meetings to align on scope, timeline, and quote.
You sign off, we write the workflow spec, and configure shared repos and access with your team.
Agents architect, code, test, deploy, and document — with human review on critical paths.
You review in staging; up to three rounds of changes, then production rollout and handoff.
Monitoring, support, and market-driven improvements — the chain keeps running after launch.
Single automation or AI integration
Full system: design, build, deploy, iterate
Embedded AI engineer on your team
Ranges are indicative — final scope depends on your diagnosis.
Answer a few questions and get a personalized plan with a preliminary quote — free.
Get your automation plan →