Open Factor
  • Enterprise
  • Docs
  • Pricing

Product

  • Pricing
  • Features
  • App
  • Text

Platform

  • Blog
  • Changelog
  • Customers
  • Developers
  • Solutions
  • Docs
  • Stats

Resources

  • Home
  • Book
  • Contact
  • Sales
  • Support

Company

  • About
  • Brand
  • Terms of Use
  • Privacy Policy
  • Cookie Notice
  • DPA

Ask AI

Open Factor
Platform activity

Features

Your agent factory. Your control.

Follow the market in real time and put insights to work. You choose the goal, connected sources, permissions, and budget. The factory coordinates the agents.

Contact salesGet started
One brief distributed across research, drafting, and review agents before a shared resultBriefResearchDraftReviewResultSpecialist agents, one shared goal

Built to scale out

One brief. As many agents as the work needs.

The factory splits the work across specialist agents, runs them in parallel, and brings back one finished result.

One agent production line

See every workflow move from definition through execution, review, and a reusable release.

Scales with demand

Adds agents as the work grows, so nothing waits in line.

Real-time market insights

Track competitor moves, news, and customer signals through connected sources. Get insights with evidence you can check and next steps you can review.

You set the limits

Choose the tools, permissions, approval points, and budget. Every result is checked against your rules before it reaches you.

Results you can see

Track what shipped, what it cost, and what it moved.

Works with your agent stack

Bring every part of your factory with you

Knowledge sources

Ground each run in the approved context your organization trusts.

Model providers

Route work to the model and runtime that fit the job.

Tools and actions

Connect the systems an agent needs to complete real work.

Policy controls

Keep permissions, approvals, and operational limits explicit.

Run observability

See what is executing, waiting, failing, and ready for review.

Evaluation signals

Use verified outcomes to improve the next version of the workflow.

Agent factory questions, answered

Build repeatable agent workflows without losing ownership, review, or operational clarity.

Want to design your first agent workflow? Talk to us

1
What is an AI Agent Factory?
It is a repeatable operating model for defining, running, reviewing, and improving agent-powered workflows.
2
Can we start with one workflow?
Yes. Begin with one well-scoped outcome and expand after its inputs, actions, and review path are proven.
3
Can agents use our existing tools?
Connected tools and knowledge sources can remain part of your current stack while the factory coordinates their use.
4
How do humans stay in control?
Permissions, approval points, and intervention paths remain explicit parts of the workflow.
5
Can different jobs use different models?
Yes. Route each job through the provider, model, and harness suited to its requirements.
6
How are failed runs handled?
Failures retain their context and owner so teams can diagnose, recover, and improve the workflow.
7
How does a successful run become reusable?
Capture the verified inputs, actions, checks, and outputs as a durable building block.
8
How do we measure improvement?
Track execution, review, quality, and outcome signals across versions of the workflow.

Put your first agents on the line

Describe one outcome. The factory staffs it with agents, runs it, and ships the result.

Contact salesStart building