AI that works inside your product.
We add assistants, document processing and agents to the software you already run, connected to your own data and checked before they reach your users.
Start a projectHow it helps you
Less manual work
Reading, typing and looking things up can move to software, with people checking the result.
Faster answers
Your team and customers get answers from your own data instead of searching for them.
Lower risk
You start with one focused feature and see it work before spending more.
What we build
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Assistants on your data
Answers from your documents, records and APIs, with the sources shown so people can check them.
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Document processing
Invoices, receipts and forms turned into structured data, ready for a person to review.
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Agents that take action
Agents that work through your APIs, with an approval step before anything important happens.
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Connectors for AI tools
MCP servers that give Claude and other AI tools controlled access to your product.
How we keep it reliable
Grounded answers
The model answers from your data and shows where each answer came from.
People stay in charge
Drafts and proposed actions wait for approval when a mistake would be expensive.
Built-in defences
Permissions, validation and prompt-injection defences go in from the start.
How we work
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Understand
We learn your product, your users and what is getting in the way.
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Plan
A short document with the approach, the trade-offs and what could go wrong, before any code.
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Build
You get working software early and give feedback on the real thing, not on a slide.
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Hand over
Tests, documentation and a clear handover, or ongoing support if you'd like us to stay.
Where this comes from
- A business assistant in Zen365 that answers questions from a company's own sales, invoices and bank data, and prepares actions for the owner to approve.
- A knowledge base over technical standards for an industrial manufacturer, using graph and vector retrieval, where every answer cites the exact clause.
- An in-product assistant for a cloud-security SaaS, with 14+ tools over each customer's data and layered prompt-injection defences.
- A coding agent built from scratch, with tool calling, streaming and plan and execute modes, to learn where agents fail.
Questions
Do we have to change our stack?
No. We connect to what you already run through its APIs and database, and add only the services the feature needs.
Which AI models do you use?
We have shipped with Claude, including on AWS Bedrock, as well as OpenAI and Gemini. We choose based on your data, cost and accuracy needs.
What if we only have an idea?
That works. We start with a short written plan that says what is worth building first and what to leave out.