AI agent development that takes action, not just answers.
We design, build, and ship production AI agents that operate your real tools end to end: triaging tickets, qualifying leads, processing documents, and driving multi-step workflows with guardrails and human-in-the-loop review. Senior engineers, real evaluation, and code you own.
What we do
- 01
Agentic workflows wired to your systems
We connect agents to your CRM, ticketing, databases, and internal APIs so they complete real work, not toy demos. Tool use and function calling are scoped, typed, and validated at every boundary.
- 02
Guardrails and human-in-the-loop
Every consequential action runs through policy checks, approval gates, and confidence thresholds. People stay in control of the decisions that matter, with a clear audit trail behind each step.
- 03
Evaluation before deployment
We build evaluation suites that measure task success, tool-call accuracy, and failure modes on your own data, so you ship on evidence rather than a good first impression.
- 04
Orchestration and reliability
Long-running and multi-agent flows are made durable with retries, state checkpoints, and timeouts, so a single flaky step never strands a workflow midway.
What we do
Capabilities built for production.
Agentic workflows wired to your systems
We connect agents to your CRM, ticketing, databases, and internal APIs so they complete real work, not toy demos. Tool use and function calling are scoped, typed, and validated at every boundary.
Guardrails and human-in-the-loop
Every consequential action runs through policy checks, approval gates, and confidence thresholds. People stay in control of the decisions that matter, with a clear audit trail behind each step.
Evaluation before deployment
We build evaluation suites that measure task success, tool-call accuracy, and failure modes on your own data, so you ship on evidence rather than a good first impression.
Orchestration and reliability
Long-running and multi-agent flows are made durable with retries, state checkpoints, and timeouts, so a single flaky step never strands a workflow midway.
Observability and cost control
Token usage, latency, and per-step traces are instrumented from day one, giving you full visibility into what each agent did and what it cost.
What you get
Deliverables, owned by you.
Concrete output at the end of the engagement, with full source and IP ownership. No lock-in, no black boxes.
- Production AI agent integrated with your live tools and data
- Evaluation suite with task-success and tool-accuracy metrics
- Guardrail policies, approval gates, and audit logging
- Observability dashboard for traces, latency, and cost
- Runbook and handover docs, with full source and IP ownership
Technology we use
A pragmatic, modern stack. We pick the right tool for the job rather than forcing a favourite.
How we work
A clear path from idea to launch.
- 1
Map the workflow
We pick one high-value use case, map the steps a person takes today, and define what good looks like and where humans must stay in the loop.
- 2
Prototype and evaluate
We build a working agent against real data and stand up an evaluation harness to measure success and surface failure modes early.
- 3
Harden for production
We add guardrails, retries, observability, and cost controls, then integrate with your live systems behind proper auth.
- 4
Ship and iterate
We deploy, monitor real usage, and tune prompts, tools, and thresholds against the metrics that matter to you.
FAQ
Questions, answered.
The things teams ask before they start. Still unsure? Talk to a senior engineer, not a salesperson.
What is the difference between an AI agent and a chatbot?
Will the agent take actions without oversight?
How do you keep agents from going off the rails?
Do we own the agent and its code?
Related
Where teams go next.
Let's build your ai agent development.
Senior engineers, real evaluation, and code you own. Tell us what you are building and we will scope it with you.