Private work intelligence
We help enterprises discover where to deploy AI.
Pacific Machines learns how your teams actually work, finds the workflows worth automating, and shows the evidence behind each one.


Good morning, Hans
A clear view of what deserves your attention.
Updated 8 min ago
Act
Do next
The most useful action you can take now.
Recommended focus
Send the Acme renewal summary before Thursday’s review
The pricing notes are in Gmail and the latest deck is in Drive. Start the draft from those two.
Why thisOpen loops
Unfinished work that still needs your attention.
- Reply to Dana about the Q4 pricing exceptionToday
GmailAsked yesterday
- Review the onboarding checklist changes
NotionWaiting on your review
How it works
The continuous improvement loop.
From understanding how work happens to making it better. Continuously.
Each result becomes evidence for the next cycle.
Learn
- Starts from
- Real work and measured results
- Produces
- Opportunities
Build
- Starts from
- Opportunities
- Produces
- Agents and automations
Deploy
- Starts from
- Agents and automations
- Produces
- Live workflows
Measure
- Starts from
- Live workflows
- Produces
- Measured results
01
Learn
Understand how work actually happens through our privacy-first desktop agent. Discover workflows, bottlenecks, and opportunities for AI.
02
Build
Turn opportunities into AI agents, automations, and redesigned workflows.
03
Deploy
Put solutions into production, integrated with existing tools and workflows, with human approval and control.
04
Measure
Track real business outcomes, quantify improvements, and feed those insights back into the next learning cycle.
Measured results start the next Learn cycle.
Plugins
Across the tools you already use.
Connect the systems where the work happens for fuller context. Each connection is explicit, and you choose what it can read.
Gmail
Slack
Google Calendar
Notion
Linear
GitHub
Figma
Google Drive
Google Sheets
Jira
HubSpot
Zoom
More are available through plugins.
Privacy
It knows your work. You own the record.
No screenshots are taken. Sensitive text is redacted before it is stored, and the raw activity database stays on your computer.
- dana@acme.com
- [EMAIL]
- 4242 4242 4242 4242
- [CREDIT_CARD]
- sk_live_51H8xKq…
- [API_KEY]
You start and stop Learning
Capture runs only when you turn it on, and your operating system enforces the permissions.
The raw record stays on the computer
Redacted accessibility text, interaction data, and the capture database stay on your machine. A Daily Recap is a separate activity log.
The signals are narrow
Accessibility and interaction data only. Learning never captures or saves screenshots, pixels, video, images, microphone, or meeting audio.
Connections are explicit
Other tools add context only when you or your organization connects them.
Cloud use is scoped
Sign-in and shared workspaces use cloud services. Context reaches an LLM provider when you use Chat or analysis.
History is yours to narrow
Pause Learning, ignore apps and sites, clean sensitive strings, delete a date range, or reset everything.
People stay responsible
Insights are proposed for inspection. A person reviews the evidence before consequential decisions.
Questions about permissions, access, or deletion? Open the Trust Center, read the Security overview and the Privacy Policy, or book a call.
A practical first step
Bring us one workflow.
In as little as a week, we map the evidence with you and show what to automate first.