Led from the build, not above it.
You work directly with the people who architect your AI systems, pick the guardrails and stay on the hook once it's live. No layer of management between the decision and the code.
Who you'll be working with.
Shamshudein Syed Kareem
Founder & CTO
Shams owns the AI engineering: how agents are architected, what context they retrieve, how they get evaluated, and the guardrails that decide when a model is allowed to act. He builds across the whole stack an agent has to live in, interface down to infrastructure, and the accelerator suite (Forge, Studio and Atlas) is his design.
- Agent architecture
- Context & retrieval
- Evals & guardrails
- Platform engineering
Seema Malang
Co-Founder & CEO
Seema runs the firm and the client relationship: what an engagement is aimed at, how it gets shaped, and the product and experience work that decides whether an AI system is adopted or quietly ignored. Product, UX research and delivery are her ground, and she holds the line on shipping things people actually use.
- Client partnership
- Product & experience
- Engagement delivery
- AI adoption
Direct access, all the way down. One team on one problem, in the room with you.
Seniority where it counts, AI on everything else.
The reason a small senior group can carry enterprise delivery is that the repetitive work no longer needs people.
Senior people on the tools
The people who design your system are the people who write it and put it in production. No account layer, no juniors learning on your budget.
AI carries the volume
Scaffolding, migration, test suites and first-pass review run on our own tooling, so a senior group ships at a pace that used to take a floor of engineers.
One team, diagnosis to on-call
The same names from the first working session to the production rota. Nothing is handed off to a delivery team that was never in the room.
Talk to the people who'll build it.
A discovery call is with the engineers, not a sales team. We'll map one workflow worth re-engineering and what shipping it looks like.