Screenpipe for enterprise

Find where AI can save your business the most time.

Screenpipe maps real workflows across your team’s apps, reveals repetitive work, and gives your AI agents the context to automate it.

Built for people and teams who want their time back

500+ customers

Used in the Fortune 300

Combinator

Meet Screenpipe

Your team’s work already holds the answers. Make it useful.

Start with work captured on the device. Review the process, document what matters, and give your agents the context to help.

Screenpipe Studio

Northstar sample workspace

Interactive demo · Sample data

A person resolves mismatches and approves every payment.

Loading process explorer…

Interactive workspace with sample data. Savings are estimates to validate in a pilot.

FROM WORKFLOWS TO WORKING AGENTS

You do the work.
Your agents take it from there.

Designed to map work in real time, install the right apps in a virtual machine, and improve each run before you connect production.

From an unpaid invoice to a reviewed reply.

Agent workspaceThunderbirdLibreOffice CalcLibreOffice DrawWindows VM
Read the incoming request
CHOOSE HOW IT RUNS

Any harness. Any model, including open source.

Screenpipe Cloud logoScreenpipe CloudZapier logoZapiern8n logon8nClaude Code logoClaude CodeCodex logoCodex

What customers get back

5–8 hours

saved in a typical week, by one customer’s estimate.

Robert W. Termanini, MD
BrainWaveTheory Corporation
Self-reported individual experience
“I get a daily summary from my Hermes agent using screenpipe information. It also adds calendar blocks for Mission Critical tasks. What a life changer.”

William Lucas

Allied Auto Online

500+

customers using Screenpipe

From finding past context to building their own AI workflows.

“Instead of trying to remember where something happened, I can search for the original evidence in seconds. I've stopped rebuilding context from memory and started building AI workflows grounded in what actually happened.”

Lian Munday

FundingFunnel

Read the customer stories

Why Screenpipe?

Starts on the device

Capture history stays on the device by default. Choose a supported local model or an approved cloud AI provider.

Capture on your terms

Choose apps and windows, exclude sensitive content, and pause recording. Agree on managed policies before rollout.

Evidence you can review

Check a generated procedure against the original work. Edit the output and remove private information before sharing.

Works with your agents

Use exports, APIs, and MCP to bring reviewed context into the tools and AI workflows your team already uses.

Train a model on your company

Available as an optional add-on. We train models on your company’s workflows to automate work faster and at lower cost, using only the data and scope you approve.

Frequently asked questions

Does AI processing stay local?

Screenpipe stores capture history locally, and you choose whether to analyze it on the device with a supported model such as Ollama or send selected context to a cloud AI provider. Sync, external integrations, and enterprise storage are separate data paths to review before deployment.

Who can see employee data?

With personal capture, employees can review outputs before sharing them through an approved channel. Organization-managed storage and policies can allow broader access. Agree on what employees control, what administrators can access, and who can change those settings before inviting the team.

Can we exclude sensitive information?

Set capture exclusions before recording and review the history for sensitive material. Agree on retention and deletion for the device and any configured archive or shared destination. Deleting local history does not automatically retract copies already sent to an AI provider, integration, or colleague.

What is automatic, and what needs help?

Capture and AI-assisted analysis can reduce manual documentation, but generated workflows still need review. Team-level reports, implementation help, and integrations are scoped separately. Your pilot proposal should distinguish self-service functionality, assisted delivery, and planned features. A workflow recommendation or SOP draft is not a tested, deployed automation.

How do we measure ROI?

Agree on a baseline for time per task, task volume, and rework. After a workflow change, measure the same work at the same quality. Compare the value of time recovered with software, setup, and review costs. Time freed up is capacity, not automatically a reduction in payroll. Projected savings stay estimates until the change is tested.

What does a pilot cost?

Enterprise pricing depends on the deployment and agreed delivery scope. We scope the seats, duration, support, implementation work, and expansion terms in your proposal, with the total cost agreed before you start. Smaller self-service options are available on the pricing page. A pilot proposal should make clear which outputs and services are included.