AI product development
New products and customer experiences built around language models, multimodal systems, retrieval, and agentic interaction.
AI software for your business.
We design and build dependable agents, intelligent workflows, and custom software for companies — and products of our own.
- Problem
- Design
- Build
- Prove
- Deliver
Software your team can inspect and own.
How we work
From a useful idea to working software.
We join business context with hands-on engineering. The result is not another AI presentation, but a system your team can use, inspect, and own.
Workflow automation
Bounded agents that connect your tools, data, and approvals to remove repetitive work without removing accountability.
AI integration
Production integrations across internal software, APIs, Microsoft and cloud platforms, with security and observability designed in.
Technical direction
Architecture, prototypes, evaluation, and delivery plans for teams that need to turn AI ambition into an executable roadmap.
Evaluation report
Useful in a demo is not enough.
We define what good looks like before scaling a system. Every delivery is tested against the work it must perform, the boundaries it must respect, and the people who need to trust it.
InputA representative production task
Outcome qualityDoes the result solve the actual task against representative cases? BoundariesDoes the system stop, escalate, and ask for approval at the right moments? OperationsCan your team inspect failures, costs, sources, and decisions in production?
✓Ready for controlled release03 / 03Human owner assigned
A small senior team, close to the problem.
We start with the workflow and its constraints, ship a narrow end-to-end version, measure it against real work, and expand only where the evidence supports it.
- 01
Frame
Map the work, users, risks, and the outcome worth changing.
- 02
Prove
Build a working vertical slice against real systems and data.
- 03
Ship
Harden the product, integrate it, and leave your team in control.
We build our own products too.
Khadim and Blop are where we test our beliefs in public: agents should act on real work, expose what they do, and leave durable artifacts behind.
Khadim
ExploreA local-first AI workspace
Khadim coordinates models, tools, projects, apps, and human approval from one desktop workspace.
Blop
ExploreQA tests owned as code
Describe journeys in plain English. Blop runs them in real browsers, clusters failures, and keeps the tests reviewable in your repository and CI.
Built for the systems your business already depends on.
Production AI is an operating model, not a model call. We design ownership, access, review, and observability into the software from the beginning.
Your data stays bounded
Access follows the least privilege needed for the workflow, across local, private cloud, or managed infrastructure.
People keep authority
Approvals, exceptions, and escalation paths are explicit parts of the product rather than afterthoughts.
Behavior stays inspectable
Sources, tool calls, costs, failures, and evaluations are visible enough to operate and improve.
Your team can own it
We deliver understandable architecture, durable artifacts, and a clear path beyond the first release.
What should AI make easier in your company?
Bring us the workflow, bottleneck, or product idea. We will help identify the smallest useful system and build it with you.
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