— What's different —
Built for your scale.
Productized packages assume a single team, a defined workflow, and a short runway. Enterprise AI is different — multiple stakeholders, layered data systems, stricter security reviews, and rollouts that touch 50+ people.
We scope every engagement during discovery — no pre-packaged scope, no junior staff, no surprises. Just a small senior team that builds, ships, and hands over code your engineers own.
AI Implementation
Production-grade AI systems integrated into your stack.
Learn more →AI Agents
Autonomous agent workflows that handle complex tasks end-to-end.
Learn more →AI Consulting
Strategic guidance on AI adoption and technology choices.
Learn more →— Ready to start? —
Ready to discuss your project?
Book a discovery call to see if we're the right fit for your team.
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 share back a written scope and engagement model — no decks.
Build
We work in two-week iterations against the scope. You see working software, not slides. 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. We stay on retainer for support if you want it — or leave you with a system that runs itself.
— What we build —
Real systems, not demos.
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 from one system, transform, and push to another — with an intelligent layer in the middle. Replaces fragile automation flows and one-off scripts that no one owns.
Production deployments
We don't stop at the prototype. We ship to your stack with monitoring, evaluations, fallbacks, and rate limits. Built to run reliably at 3am on a Tuesday — not just in the demo.
Enterprise security controls: SSO integration, role-based access, and full audit logging — standard on every engagement.
Multi-team AI rollouts — tracked, monitored, and scaled across departments without losing control.
— Fit check —
We're picky on purpose.
Good fit
- $15M+ in revenue or running a multi-team AI rollout
- 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, 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
- —You're under $15M — our SMB service pages will 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 quote a range in discovery and a fixed fee in the 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 — never a surprise invoice.
Who actually does the work?+
Senior engineers — the same people on the discovery call build the thing. We don't sell a senior and staff a junior. Small team, high quality, 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 — architecture review, build-vs-buy decisions, or a written roadmap. Same discovery call, different deliverable.
— Let's talk —
Tell us what you're trying to build.
Twenty-minute discovery call. No deck, no pitch — we just want to hear about the workflow and tell you honestly whether we're the right team for it.
Senior team · Scoped during discovery · You own the code