RAG with verifiable citations
Every answer includes the exact source. Zero hallucination over your data.
Service · AI agents
Agents that know your business — not generic ones.
We build agents with RAG over your docs, CRM and databases. Tool use with guardrails and human-in-the-loop where it matters.
The problem
Generic chatbots don't know your catalog, your prices or your processes. AI pilots die when context is fragmented across wikis, PDFs, ERPs and emails.
Our approach
We design agents with RAG over your private knowledge: continuous ingestion, embeddings, permissions and auditable prompts. The model reasons, but your information leads.
Core capabilities
Safe tool use
The agent runs actions (call an API, modify records) with granular permissions.
Human-in-the-loop
Critical transactions wait for human approval before being applied.
Multi-model
Llama, Mistral, Qwen, Claude, GPT. Choose by cost, latency and privacy.
Per-user memory
Persistent conversations with accumulated context and role-based privacy.
Metrics and observability
Every prompt, context and reply is traced for analysis and compliance.
Stack we tend to use
- LangGraph
- LlamaIndex
- pgvector
- Qdrant
- Postgres
- Redis
- OpenTelemetry
Frequently asked
Does my data go to OpenAI / Anthropic?
Not by default. We run open-source models in your infrastructure, or use providers configured to never train on your data.
How long until the first agent ships?
Six to twelve weeks for scoped use cases. We start with one, validate metrics and scale.
Does it integrate with our current stack?
Yes. We connect to Salesforce, HubSpot, SAP, Oracle, Postgres, Slack, Teams and proprietary APIs.
Who operates the agent after go-live?
We offer operations SLA, or we transfer knowledge to your team — your call.
Ready to talk about your first agent
45 minutes, your use case, a tentative architecture. No strings attached.
06 — Contact
We start with a 45-minute technical session.
No endless form. Tell us briefly about the challenge and we will book a call. If it is not a fit, we say so.