What we build
Knowledge assistants
Answers grounded in your documentation through retrieval — not a model improvising.
Customer-facing chatbots
First-line support that resolves the repetitive and hands the rest to people.
Tool-using agents
Agents that act in your systems — create tickets, check status, update records — with scoped permissions.
Guardrails
Explicit limits enforced in code: what the agent may read, write, and never touch.
Evaluation
Test sets built from real questions, run on every meaningful change.
Human handoff
Escalation designed in from the start, carrying context — not bolted on later.
What you get
- A working agent or chatbot integrated into your site, helpdesk, or internal tools.
- Retrieval pipeline over your content: ingestion, chunking, indexing, and update flow.
- Tool definitions with explicit permissions — what the agent may read, write, and never touch.
- An evaluation set built from real questions, run on every meaningful change.
- Monitoring and review tooling: conversation logs, escalation paths, and quality sampling.
How it runs
Ground
We collect real questions and build the evaluation set before choosing architecture.
Build
Retrieval pipeline, tool definitions, and the agent itself in working increments.
Evaluate
Accuracy and failure modes measured on your data before anything ships.
Monitor
Logging, quality sampling, and drift checks on a defined cadence.
Scope & constraints
- We do not promise accuracy numbers before evaluating on your data; anyone who does is guessing.
- Agents get narrow, auditable tool access — not your whole API surface.
- Human handoff is designed in from the start, not bolted on after the first bad conversation.
- We will tell you when a conventional form, search, or workflow solves the problem better than an agent.
Questions
How accurate will the agent be?
We don't quote numbers before evaluating on your data — anyone who does is guessing. We build an evaluation set from real questions and measure before launch.
Can the agent take actions in our systems?
Yes, through narrowly scoped tools — create a ticket, check an order — with permissions enforced in code, never open-ended API access.
What happens when it doesn't know?
A designed path: clarifying question, graceful refusal, or human handoff with context intact. Improvised guessing is the failure mode we engineer against.
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