AI Development for enterprises that need it shipped
Agents, LLM integration, and automation built into your product, not bolted on.
AI development is where a capable model stops being a demo and becomes a system your business depends on — grounded in your data, wired into your workflows, and governed. Most of the value is in that engineering, not the model choice.
What we build
- Retrieval-augmented generation (RAG) — answers grounded in your private, current knowledge, with citations.
- AI agents — systems that take actions across your tools with guardrails and human-in-the-loop approval.
- LLM integration — AI embedded into an existing product or workflow, not a separate chat box.
- Evaluation & MLOps — the testing, monitoring, and pipelines that keep it reliable in production.
Architecture & governance
We design the retrieval layer, tool boundaries, guardrails, and evaluation harness up front. Governance — access control, audit trails, and quality gates before anything ships — is part of the architecture, not an afterthought. AI runs on your infrastructure boundary so your data stays yours.
Technology
We work across the current production AI stack — leading foundation models, vector databases, and orchestration tooling — and choose per project rather than defaulting to one vendor. The right components are decided at the architecture stage.
When custom AI is — and isn't — the right call
A good fit when the work is core to your business, needs to integrate with systems you already run, or has to be production-grade and owned by you. Often not the right call when a mature off-the-shelf product already covers the need — we'll tell you that honestly, because bending a differentiating process to fit a generic tool (or building a bespoke version of a commodity) both waste money.
How we reduce delivery risk
- Architecture before code — a written document you approve first, so scope and risk are agreed up front.
- Staged, reviewable delivery — you see working software early and can course-correct before cost compounds.
- Security and testing designed in, not retrofitted — access control, encryption, and automated tests from the start.
- One accountable team — no hand-offs between the people who sold it and the people who build it.
What happens after delivery
You own the code, the infrastructure, and the IP. We can operate and support the system to an agreed service level, hand it over to your team with documentation, or do both during a transition. Typical engagement length is scoped from the architecture rather than guessed — a specific timeline for your project is confirmed after discovery.
When teams bring us ai development work
Usually one of these is true:
- The initiative matters, but pulling senior engineers off the roadmap to build it isn't an option.
- A previous attempt stalled — unclear architecture, shifting scope, or a team that couldn't take ownership.
- It needs to integrate with systems you already run, not force a rip-and-replace.
- It has to be production-grade from day one — secure, tested, and something you can operate.
Outcomes we engineer for
Predictable delivery
Built in reviewable stages against an agreed architecture — you see progress and course-correct early.
Security by design
Access control, encryption, and audit trails designed in from the architecture stage, not bolted on later.
Production-grade quality
Automated testing and staged review before anything reaches production, then operated to an agreed service level.
Systems you own
Your code, your infrastructure, your IP — engineered to run on your terms.
Built to scale
Architected for where the business is going, not just to pass launch.
Senior accountability
You work directly with the engineers building your system — one team, discovery to production.
One accountable team, discovery to production
Whichever service you engage, the path is the same — so there are no surprises halfway through.
Discovery & architecture
A written architecture document, reviewed with you before a line of code is written.
Planning & system design
Data model, integrations, and security designed up front — with a clear scope and plan.
Staged build & QA
Built and tested in reviewable stages, so you see progress and can adjust early.
Deployment & support
Deployed, monitored, and operated to an agreed service level — with the IP in your hands.
Go deeper
Hand-picked, editorially linked — not auto-generated.
Guides & pillars
Compare your options
Key terms
What makes this different
Architecture before code
Every engagement starts with a written architecture document you approve first — scope and risk agreed up front.
One accountable team
No relay through account managers. The senior engineers who build your system are who you talk to.
AI-native since 2018
We've built AI-first software for years — grounded, governed systems, not chatbots bolted on the side.
Honest by default
We don't invent metrics, logos, or headcount. If we can't prove it, we don't claim it.
A free 2-minute maturity score — no signup required.
Questions enterprise buyers ask about AI Development
Often engaged together
Markets we serve
Ready to scope your AI Development project?
Book a 30-minute architecture review with the engineer who'd do the work — no sales script, no obligation.
No obligation · A senior engineer replies within 1 business day · NDA on request