Stop experimenting.
Put AI to work.

We improve your processes so the routine gets handled,
and build software factories that move work from idea to production faster

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A painted panorama of San Francisco Bay and the Golden Gate Bridge, framed by wildflowers.

We are a process company.

We learn how your team works, then build AI into the processes and tools you already use.
Together, we decide what agents handle and which decisions stay with your team.

Understand
the work.

Bring together the documents, conversations and practical knowledge behind the process. See how the work happens today.

Process discovery

Find what needs
to change.

Map the steps, handoffs and decisions. Find where people repeat work, wait for information or need to step in.

Workflow mapping

Build around
the process.

Connect the right tools and information. Give agents clear responsibilities, define review points and test with your team.

AI implementation

Make your mission AI native.

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An AI-native process gives agents the knowledge and tools to carry out agreed work. Your team decides what they can access and do, which decisions need review and when to step in.

Keep your tools.
Connect the work.

Connect conversations from Slack, knowledge from Notion, code from GitHub, customer context from Salesforce and opportunities in HubSpot to work tracked in Linear, Jira and ServiceNow. Bring in security signals from Qualys and Rapid7, with agents powered by Claude.

We connect your existing tools, internal software and legacy systems so agents can investigate, prepare changes and move work forward, with your team reviewing the decisions that matter.

Curious Kind is an applied AI lab.
Software factories connect coding agents
to the way your team builds and ships.

An AI-powered system for building and maintaining software. It connects coding agents to your codebase, product knowledge and delivery tools, so an agreed task can become a code change ready for review.

As agents take on more coding, the next challenge is turning that output into dependable software. A factory gives teams a repeatable way to direct the work, review changes and carry decisions into the next task.

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Outcomes, not deliverables.

We agree what should improve before we build.
Then we measure what changes when your team puts it to work.

See the progress.
Keep improving.

Track what changes when AI goes to work: fewer manual steps, faster handoffs and more time for the work that needs your team.

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Progress, made visible

Fewer manual steps

Faster handoffs

Compared with where you started

Time back for your team

Reduce repetitive tasks and manual handoffs so your team can focus on work that needs their judgement.

Faster delivery

Remove delays between a request and a useful, approved result.

Less rework

Catch mistakes earlier and reduce the work your team has to redo.

Frequently asked
questions.

How we start, work with your team
and measure what changes.

We learn how your team works and build AI into the processes and tools you already use. That can mean reducing repetitive work, connecting information across systems, or improving how software is maintained and released. The work starts with a problem your team needs to solve.

Improve the process.
Build your software factory.

Bring us a recurring task, a slow handoff or a codebase that needs to move faster. We’ll help you improve the workflow or build a software factory around your team.

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