Self-improving
Successful runs, failures, and human corrections all feed back into the next run. A repeated workflow grows more accurate, faster, and more autonomous the more it runs.
Private AI agents for repetitive computer work
Hand off repetitive computer work. Keep your time — and your data.
Our AI agents learn your workflows and run them on your own computer, even fully local with open models, handling the mechanical work and bringing you in when judgment or a decision matters.
- Self-improving
- Self-repairing
- Built for reliability
- Lower cost per run
- Can run fully local
Private by design
Run it fully local, or protect what leaves.
You choose where the AI runs. Your data never goes to our servers either way.
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Fully local, end to end
Our agent runs well on open models. Run one on the same computer, or use open models your company hosts, and the whole solution stays inside your environment: no data leaves it.
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Frontier models, with PII protection
Prefer a frontier model? We can add a PII scrubber that anonymizes personal and sensitive data before anything is sent to the AI provider.
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Never on our servers
The agent works in your own browser with the logins you already have. Workflows, files, and run history stay with you, and verified workflows replay without any AI calls at all.
What we're building
Agents that improve and repair themselves, built for reliability and low cost.
Our agent learns the workflows you hand it and gets better every time it runs them.
Self-repairing
Websites change. When a page no longer matches, the agent adapts and saves a repaired version of the workflow, keeping the original’s history. The repair has to pass on a later run before it’s trusted.
Optimized for reliability
Every step is checked against the live page, and what can’t be verified is reported instead of guessed. Every run is observable, so you can see exactly what happened.
Optimized for lower cost
A verified workflow replays without AI calls. AI is used only to plan new tasks, learn workflows, and check results, so repeat runs are fast, cheap, and light on compute.
Example workflows
What you can hand off to our agent
Much more than filling in forms: multi-step work across many websites and systems.
Research and synthesis
Research a market, compare competitors, gather information across many websites, and turn it into a structured report.
Sales and recruiting
Find prospects or candidates, research them, organize the results, update a CRM or ATS, and prepare outreach.
Back-office operations
Log into portals, download reports, move data between systems, update spreadsheets, and complete repetitive operational work.
Applications, permits, and submissions
Identify the right forms or requirements, gather the necessary information, complete submissions, upload documents, and track status.
Recurring monitoring and follow-up
Check websites, portals, prices, inventory, application status, or other changing information on a schedule, and take the next action when something changes.
Something else?
Tell us the workflow you’d hand off. It’s how we choose who gets early access.
Join the waitlist →Team
Research discipline, production experience.
Our founding team brings together more than a decade of machine-learning research and production AI experience across:
- Apple
- Amazon
- Microsoft Research
- Roche
- Qualcomm
- SRI
- PathAI
That mix matters for what we build: research discipline to know when an agent is actually reliable, a mindset for strategic innovation, and production experience to ship it at scale.
Get early access
We're bringing people into ALPHA a few at a time, starting with real repetitive workflows. Join the waitlist and tell us what you'd hand off, or request a live demo on your team's own workflow.