AI Agents
AI agents that close real business functions — not 'demos' that get fired after the pilot
We build agents that answer customers, process documents, sell and operate inside your systems. With quality metrics, logging and rollback paths.
- 15+
- agents in production
- 92%
- accuracy on typical tasks
- 12 hrs
- saved per week
Problems we solve
Why your AI never takes off
Most 'AI pilots' die in month three — because they were built without data, metrics or integrations.
A chatbot that can't do anything
Answers in templates, has no access to CRM, inventory or a knowledge base.
GPT on top of nothing
Prompt without RAG, no quality evaluation — hallucinations even on simple questions.
No metrics, no logs
Nobody knows how many answers were correct or how many tokens it burned.
Locked into a single model
OpenAI raises prices — and the whole product becomes unprofitable.
How we help
AI as an engineering system, not magic
Every agent has a clear area of responsibility, quality metrics and a graceful degradation path when the model is wrong.
Data and metrics first
We prepare an evaluation set and define 'what is a good answer' before writing the first line of code.
RAG on your documents
Vector stores, hybrid search, source citations — no hallucinations.
Integrations with your systems
The agent acts through tools: Odoo, CRM, ERP, databases, partner APIs.
Model independence
GPT, Claude, open source — we pick by price/quality, not because it's trendy.
What you get
A working product with metrics, not a slide deck
- An AI agent in production with logging of every conversation and token
- Evaluation set and a quality dashboard (accuracy, latency, cost)
- RAG pipeline on your documents with source citations
- Tools to operate your systems (CRM, ERP, databases, APIs)
- Admin panel for your team: rules, fallback, escalation to a human
- Documentation and training on how to keep improving the agent
Process
From idea to production — in 6–10 weeks
Discovery (1 week)
Define use cases, build the evaluation set and lock in success metrics.
Architecture (1 week)
Pick models, design RAG, tools and fallback scenarios.
Build (3–6 weeks)
Iterative development: weekly evaluation runs and quality improvements.
Launch & Support
Production rollout, quality and cost monitoring, regular fine-tuning.
Technology
What we build with
Packages
Honest pricing, transparent scope
Fixed packages for typical scenarios. More complex cases — individual quote.
AI Pilot
One focused agent with RAG on your documents. Perfect for first hypothesis validation.
1–2 weeks
- 1 agent with a clear use case
- RAG over up to 1,000 documents
- Integration with 1 system (CRM/ERP/chat)
- Basic quality dashboard
- 1 month of warranty support
Production
A full product with metrics, fallback paths and an admin panel.
2–4 weeks
- 2–4 specialised agents
- RAG over up to 50,000 documents
- Integrations with 3+ systems + tools
- Admin panel and human escalation
- Evaluation + cost monitoring
- 3 months of support + SLA
Enterprise
Multi-agent systems, on-premise, fine-tuning, complex integrations.
from 3 months
- Multi-agent systems on LangGraph / CrewAI
- On-premise or private cloud deployment
- Fine-tuning of custom models
- Complex integrations (Kafka, gRPC, ERP)
- Security and compliance audits
- 24/7 SLA with guaranteed response time
Case study
AI agent for document quality control
An agent validates invoices and contracts inside Odoo, detects mismatches and prepares reports for accounting. The team saves 12 hours per week.
FAQ