Niche
AI agents
We design and ship LLM-powered agents that do real work: voice receptionists (like owlcall.com), chat copilots, and autonomous workflows that call your APIs, route tickets, or close the loop with humans. Tool-calling, evaluations, guardrails and observability are part of the build, not a slide.
What we build
Typical engagements.
A short menu of the work we've done most often in this niche. Each engagement is sized and scheduled in the discovery sprint.
Voice receptionists & agents
24/7 telephony-backed voice agents that answer, qualify, book and escalate. Low-latency turn-taking, warm transfer to humans, and structured call outcomes.
Chat copilots
In-product assistants and support agents grounded in your docs, tickets and CRM — with citations and traceable reasoning.
Tool-calling workflows
Agents that take real action — calendar, CRM, billing, internal APIs — using structured outputs, retries, and audit trails.
RAG & retrieval pipelines
Indexing, chunking, reranking and evaluation tuned for your data, not a generic demo.
What makes it different
The niche-specific engineering.
Every domain has its own non-negotiables. These are ours for ai agents.
Evals in CI
We ship every agent with an offline eval set and online KPIs. Prompt and model changes run through the evals before they ship.
Guardrails & prompt-injection defense
Input and output validators, tool-call allowlists, PII redaction, and refusal-recovery strategies tuned to the domain.
Observability & cost control
Structured logs, per-tool latency, dollar-per-conversation dashboards, and traces per call so you can triage issues the way you would any service.
Graceful handoff to humans
Confidence-aware escalation with warm transfer, shared transcript, and resolution tracking — so customers never restart the conversation.
Stack
The tools we're fluent in for this work.
Have a ai agents project?
Tell us about it. We'll respond within one working day with honest feedback and a sketch of how we'd approach it.