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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.

Pacific Machines desktop app, Home screen, with sample data.

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 this

Open loops

Unfinished work that still needs your attention.

  • Reply to Dana about the Q4 pricing exceptionTodayGmailAsked yesterday
  • Review the onboarding checklist changesNotionWaiting 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
  1. 01

    Learn

    Understand how work actually happens through our privacy-first desktop agent. Discover workflows, bottlenecks, and opportunities for AI.

  2. 02

    Build

    Turn opportunities into AI agents, automations, and redesigned workflows.

  3. 03

    Deploy

    Put solutions into production, integrated with existing tools and workflows, with human approval and control.

  4. 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.

Text cleanupWhen a recording ends
dana@acme.com
[EMAIL]
4242 4242 4242 4242
[CREDIT_CARD]
sk_live_51H8xKq…
[API_KEY]
Cleanup levelSecretsPIIAggressive
  • 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.