Custom AI systems built for enterprise scale.
We work with enterprise teams to design, build and deploy fully custom AI systems, from knowledge bases that answer with citations to autonomous agents, on open-source foundations you own and control.
Off-the-shelf AI tools were not built for your business.
Generic AI products are designed for the average case. Enterprise workflows, data governance and security standards need something built for you.
Security and compliance by design
Your data stays on your infrastructure. We build inside your security policies, access controls and compliance requirements from the first design, not as an afterthought.
No vendor lock-in
Everything we build runs on open-source foundations. If you ever want to move, extend or rebuild, your team can. You are never held by a pricing change or a product shutdown.
Full IP ownership
Every line of code, every pipeline and every configuration belongs to you. We hand over the full codebase, the documentation and the deployment set-up at project close.
Six capabilities, all custom.
We do not adapt templates. Every system is designed from scratch to fit how your team works, what data you have and what outcomes you need.
Knowledge systems
AI that answers from your internal documents, databases and policies, with citations to the source and role-based access, so an answer can always be checked.
AI agents and copilots
Agents that complete multi-step tasks, call your APIs and work inside the tools your team already uses, with a person's sign-off where it matters.
Workflow automation
End-to-end process automation that connects your systems, handles exceptions and routes decisions to the right person, without anyone doing it by hand.
Private model deployments
Self-hosted language models running on your servers or private cloud. Full control, no data leaving your environment, tuned to your domain.
Integration and API layers
Connectors that wire your AI systems into your CRM, ERP, HR system and internal tools, so the output reaches where decisions are made.
Data pipelines and vector infrastructure
Ingestion, embedding, chunking and retrieval pipelines built for scale, so your AI always works from fresh, structured, queryable data.
Built on tools your team can audit, extend and own.
We work across the open-source AI stack: agent frameworks, retrieval libraries, vector databases, workflow engines and self-hosted model servers. The specific tools depend on your infrastructure, your data and your scale, and we name them in the architecture document before any code is written.
We choose the right tool for each project and never lock you into a single vendor or framework.
From first call to live system.
We keep the process direct. No six-week discovery sprint, no strategy deck. You get a working system, not a roadmap.
Discovery
We get on a call and understand your workflows, your data landscape and what the system has to deliver.
Architecture
We design the system: stack, data flow, integration points, access model. You see it and sign it off before a line of code is written.
Build and test
We build, integrate and test against real scenarios with your team. You see the system working before we close the project.
Handover
Full deployment on your infrastructure, documentation, and a handover session so your team understands and can operate what we built.
Support and maintenance
Support after launch: we monitor, apply updates and take your feedback so the system keeps improving.
Enterprise systems we have built
Enterprise systems we have built
Nothing published yet. Enterprise work is shared under NDA, and the first engagements are in progress. What we can disclose appears here as each system goes live.
Book a discovery callWe only work with a handful of clients at a time.
Not a sales tactic; it is how the quality stays high when one person builds every system. If you are serious about getting AI working in your business, book a call and let's see if we are a fit.