AI that does real work, inside your product and your operations

We build AI features into products and automate the repeat work behind them: drafting, classifying, summarising, routing and answering. Every workflow has clear rules, human approval where it matters, and costs you can see.

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What you get

SaaS companies adding AI to their product, and operations teams that spend their day moving data and answering the same questions.

AI features customers use

Assistants, search and generation built into your product where they save users time.

Operations that run themselves

Agents and workflows that connect your tools and take routine work off your team.

Control over data and cost

Your own provider accounts, encrypted keys, budgets, logs and clear limits on what data leaves your systems.

How we approach it

We pick one high-value use case, build it end to end, and measure it against how the work is done today. Only then do we expand. AI runs on your own accounts with providers such as OpenAI, Anthropic and Google.

Typical scope

Use-case discovery and feasibility
LLM features: assistants, search, generation
Agent and workflow automation
Integrations with your existing tools
Evaluation, guardrails and human review
Usage budgets, monitoring and logs

Questions

Which AI providers do you work with?

We work with the major model providers and choose per use case. You own the accounts and billing.

Will AI act without a person checking?

Only where you decide it should. By default, customer-facing output is reviewed by a person.

How do you keep our data safe?

Sensitive data is only sent to a provider you have approved for it, and every request is logged.

Often combined with

Have a product to build?

Tell us where you are and where you want to go. We reply with a clear next step.