AI for B2B software
We've worked on a docs and productivity suite, and we build and run our own workflow automation, MCP, developer, and time-tracking products. Software companies bring us in to add AI their customers actually use.
What we build
AI features in your product
Agents, search, and automation inside your app, with evaluations for accuracy, speed, and cost.
Workflow automation
Connections between the tools your customers already use, with the busywork between them automated.
MCP servers
Your product available inside AI assistants through MCP, with authentication and permissions handled properly.
Docs and collaboration
Editors, documents, and shared workspaces that hold up with real teams.
Developer tools
Monitoring, alerting, and webhook infrastructure for engineering teams.
How we work
- 01
Start with a conversation
Tell us where you want the business to be. Some teams arrive with a spec, most with a goal. Either way, we come back with a short proposal, not a long statement of work.
- 02
Something real on day one
Action produces information. You'll have code to look at on the first day, and what we learn from it decides what comes next.
- 03
Iterate, mostly async
We ship in small steps you can see and react to, and AI makes every loop faster. You stay focused on the vision; we own the technical decisions and the details.
- 04
Measure what changes
Monitoring, analytics, and safe preview environments show what's working, and give your team the confidence to keep shipping.
Questions
Can you work in our codebase?
Yes. We work in your repository, follow your conventions, and ship through your review and deploy process.
Do you build MCP servers?
Yes. We built Skeet to connect MCP tools across AI assistants, and we build MCP servers for products that want to work inside Claude, ChatGPT, and other assistants.