[ AI AGENTS & RAG ]
Custom AI agents, agentic RAG over your knowledge base, chatbots that actually know your business, fine-tuning and POC-to-production pipelines. The "agent teams" we name the company after — built for you, not licensed from a vendor.
The AI services market is full of consultancies that hand you a research report and walk away. We build working systems your team uses every day, then keep optimising them.
Customer support, internal helpdesk, sales qualification. Grounded in your documentation via RAG so they don’t hallucinate. Escalation rules built in — they hand off to humans when uncertain.
Production-grade retrieval over your wiki, docs, tickets, contracts. Multi-step reasoning with tool use. Source citations on every answer so users can verify.
Sales follow-up agents, ops triage agents, support deflection agents, research agents. Built around the specific workflow you need automated, with audit trails and approval gates where they matter.
When base models don’t cut it: domain-specific fine-tuning on your data, evaluation harnesses, prompt-versioning infrastructure so changes are testable and reversible.
The hard part isn’t the demo — it’s shipping. We take working prototypes through evaluation, observability, cost control, and rollout. No vapourware.
Multi-agent systems where specialist agents (research, drafting, review, dispatch) coordinate via a control loop. Each one auditable. The whole thing observable.
Paid 1-hour scoping call (€200/hr, credited back if you sign) where we identify one specific workflow worth automating. We map the inputs, the decisions, the outputs, and what success looks like. Written summary at the end. No "AI strategy deck" theatre.
Fixed-price pilot: working agent in your environment in 4 weeks. Real data, real users, real evaluation. You decide whether to take it to production based on what it actually does, not what the slide deck claims.
Production deployment with observability, cost guardrails, evaluation harness. Then weekly: prompt tuning, retrieval improvements, edge-case handling. The agent gets better every week, not just at launch.
A €100k strategy deck. The big-name consultancies are great at frameworks and bad at shipping. Our pilots are fixed-price builds, not slideware. The whole engagement costs less than one quarter of their typical retainer.
A "platform" you can’t leave. Some big-vendor AI products are thin wrappers locked to a particular IDE or stack. Some boutique AI shops bake their proprietary orchestrator into the deal so you depend on them forever. We use standard frameworks (LangChain / LlamaIndex / Vercel AI SDK / your choice), check everything into your repo, document the architecture. You own the code, the prompts, and the evaluation criteria.
The "POC then abandon" pattern. The industry standard is to ship a demo, hand it over, and disappear. 64% of AI pilots never make it to production for exactly this reason. We work the inverse way: the pilot already assumes production, and our retainer is built around continuous improvement once it’s live.
Every promise on this block is grounded in something we kept hearing customers complain about elsewhere. We picked the opposite as our default.
Agent-managed workflows handle the daily and weekly work. You see results in plain language every week — not "we’ll check in at the end of the quarter."
Your engagement is owned by one senior person from day one. No bait-and-switch to a junior team after the contract is signed. No reassignments every few months.
Every price is on our pricing page. Month-to-month after the initial term. 30-day cancellation. No renewal surprises, no "inflation adjustment," no exit interview.
Code, data, playbooks, architecture decisions — all documented and handed over. We’re here to make ourselves useful, not indispensable.
One specific use case. We’ll come back with whether it’s viable, what the pilot looks like, and what it costs — no slide-deck routine.
Contact us → See pricing