What's different
Built for your scale.
Your rollout has multiple stakeholders, layered data systems, stricter security reviews, and 50+ people to bring along.
We scope every engagement during discovery, then a small senior team builds it, ships it, and hands over code your engineers own.
Next step
Ready to discuss your project?
Book a discovery call and we'll tell you whether we're the right fit. If we build it, you own the code.
Book a discovery call →How we work
Senior team, small footprint.
Discovery
A 60-minute working session to understand your operations, constraints, and what success looks like. We follow up with a written scope and engagement model instead of a slide deck.
Build
We work in two-week iterations against the scope, and you see working software at the end of each one. Expect weekly written check-ins, async Slack, and one live call per week if you want it.
Handover
Production deployment, internal documentation, and a runbook your team owns. If you want support after launch, we stay on retainer. If not, your team has what it needs to run the system.
What we build
Built to run in production.
Custom AI agents
Autonomous workflows for triage, lead qualification, support tier-1, and record reconciliation across tools. Built on Claude or OpenAI, deployed in your cloud.
Internal AI copilots
Domain-specific AI assistants over your private data: contracts, SOPs, ticketing history, knowledge bases. Includes audit logs and role-based access controls your security team can sign off on.
Operations automation
Pipelines that pull data from one system, transform it and push it to another, with an AI layer in the middle. They replace fragile automation flows and one-off scripts that no one owns.
Production deployments
We ship to your stack with monitoring, evaluations, fallbacks, and rate limits. Built to keep running at 3am on a Tuesday, long after the demo.
Enterprise security controls (SSO integration, role-based access and full audit logging) come standard on every engagement.
Multi-team AI rollouts, tracked and monitored as they scale across departments.
Fit check
We're picky on purpose.
Good fit
- A multi-team AI rollout, or work that spans several systems
- You have a specific workflow in mind, not a vague AI mandate
- You can describe what success looks like in one sentence
- A decision-maker who can scope and approve is on the call
- You want to own what we build: code, data and infrastructure
Probably not
- -You need an AI strategy deck for a board meeting next week
- -The brief is 'use AI somewhere' with no specific outcome
- -It's a single workflow for one team, where our standard service pages fit better
- -You want a white-labeled team you can resell as your own
Common questions
Before the discovery call.
How long does a typical engagement run?+
Most builds land between 4 and 12 weeks. Agent prototypes can ship in 2 weeks; multi-system integrations or AI copilots over private data run longer because the data layer is usually the long pole. We'll give you a timeline range in discovery and confirm it in the written scope.
How is the engagement structured?+
Most engagements run on time-and-materials against a written scope, or as a phased agreement scoped during discovery. If scope changes mid-engagement, we re-scope with a written change order, so you never get a surprise invoice.
Who does the work?+
Senior engineers. The people on the discovery call are the people who build it; we don't sell a senior and staff a junior. Keeping the team small keeps overhead out of the price.
What about data security and IP?+
You own the code and the data. We deploy to your cloud, your accounts, your AI model providers. Mutual NDAs before scoping, standard agreements before kickoff. We don't use your data to train anything.
Can you work with our existing engineering team?+
Yes. Most engagements pair with an internal team. We handle the AI-specific parts your team hasn't shipped before, so they can take it from there.
What if we just want strategic advice, not a build?+
We can scope an advisory engagement: an architecture review, build-vs-buy decisions, or a written roadmap. It starts with the same discovery call and ends in a different deliverable.
Let's talk
Tell us what you're trying to build.
A twenty-minute discovery call. Tell us about the workflow and we'll tell you whether we're the right team for it, including when we aren't.
Senior team · Scoped during discovery · You own the code