Production AI agents, built by an
engineering lab — not a no-code template
We design, build and ship custom AI agents for work that's too high-stakes to wrap a chatbot around — across finance, security, marketing, and internal knowledge. Deployed in your own stack, or hosted in our EU cloud.
Most “AI agents” are a prompt and an API key
That's fine for a demo. It falls apart the moment an agent has to touch real money, real code, or your source of truth. We're an R&D lab, not a no-code shop: we build agents against your actual data and systems, evaluate them against your real cases before they reach production, and keep a human in the loop where it matters.
The model is one component. The integrations, guardrails, evaluation and domain logic around it are the work — and the reason the agent can be trusted to act.
Custom-built
Built around your data, systems and workflows — not a configured template you bend yourself to fit.
Evaluated before handoff
We measure each agent against your real cases and edge cases before it ever touches production.
Human-in-the-loop
Agents propose; people approve where the stakes demand it. You decide how much autonomy to grant.
You own the result
The agent, its configuration and its logic are yours. No black box, no runtime lock-in.
Agents we build
Four domains where being wrong is expensive. The engineering approach is the same; the depth is sector-specific.
Security agents
Code review and penetration testing at machine scale, directed by security engineers.
Where it shines: Start here if you ship fast and can't afford a security blind spot.
Our pentesting practiceFinance agents
For the reconciliation, reporting and review work that eats your team's week.
Where it shines: When accuracy and an audit trail matter more than raw speed.
Marketing agents
The repetitive production work, on-brand and on-channel.
Where it shines: When you need volume without every page reading like everyone else's AI copy.
Knowledge-maintenance agents
Keep your internal knowledge current — not just searchable.
Where it shines: When your wiki is always six months behind reality.
We build it. You decide where it runs.
Your data, your control — no runtime lock-in. The same agent ships to whichever home fits your stack and your compliance posture.
Your environment
Deployed into the agent or automation stack you already run — n8n, LangGraph, Temporal, your own orchestrator, or anything that speaks MCP.
Best when: You already have infrastructure and want the agent to live next to it.
Our EU cloud
Hosted on Ingram Cloud, our European platform for stateful agents: EU data residency, full observability, and memory that persists across sessions.
Best when: You want it running fast, without standing up infrastructure yourself.
About Ingram CloudHanded over
We build it, hand over the agent and its logic, and your team runs it. No ongoing dependency on us.
Best when: You want full ownership and zero vendor lock-in.
How we build
A clear path from your problem to an agent you can trust in production.
Scope
We learn the job, your systems and your constraints — and tell you honestly whether an agent is the right tool.
Build
We build against your real data and systems: integrations, guardrails, and the logic the task actually needs.
Evaluate
We test the agent against your real cases and edge cases, and tune until the results hold up.
Deploy & maintain
We ship it where you want it to run, and keep it working as models and your systems evolve.
Questions we get
The things buyers actually want answered before they trust an agent with the work.
Tell us the job. We'll tell you if an agent should do it.
Bring us a workflow that's slow, repetitive, or too risky to leave unwatched. We'll scope it, tell you honestly whether an agent is the right tool, and show you how we'd build and deploy it.
Book a build reviewHonest scoping · No obligation