OpenFactory
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openFactory · AI Software FactoryFind the bottleneck. Solve it. Find the next one.A local-first desktop workspace that coordinates the coding agents your team already uses, with independent checks and a record of the evidence behind every result.Explore openFactory
01The factoryYour coding agents, working toward one outcome02Independent verificationOne model makes. Another checks.03The bottleneckFind what slows delivery, then the next thing04For your roleWhat it means for each seat on a team05Pricing$100 per user per month, 30-day trial
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01AI EstimatesPrice a build before you start it02AIDA ScoreSee what agent sessions cost you03TokenTopperCheck your AI usage tier
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Deploy company for open intelligence

Agent Factory for Software

OpenFactoryAI builds AI systems around your software, workflows and know-how. We run them with your team, then transfer the working capability to you.

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  • Appknox
  • NuvePro
  • MatterSec
  • Non-tech Fortune 2000

AI gets more powerful. Your knowledge makes it useful.

Models can write, analyze and act. But they don't know how your business works: the systems you rely on, the exceptions your team handles or the standards your customers expect.

OpenFactoryAI brings that knowledge into AI workflows built for your organization.

The result is AI that can do useful work inside your business—and a team that can trust it.

01Your systems02Your exceptions03Your standardsGeneral modelwrites · analyzes · actsUseful workspecific to your business
Models alone don't know how your business works. Your knowledge is the filter.

Autonomy means the work keeps moving when people step away.

Agents take on real workVerifyDone ✓People · judgment & exceptions
Verified
0
Sent back
0
With people
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Adding agents to a workflow doesn't automatically make it autonomous. People still need to check the work, catch failures and handle exceptions.

We build the context, workflow and verification that let agents take on real work. People remain involved where their judgment matters.

That's how AI gives people room to focus, while work continues to move.

Built around what makes your business yours

Every deployment uses the context that makes your operation distinct:

Model v1Replaceable. Improves over time.
01Your software, data and existing workflows
02Your standards, policies and approval rules
03The exceptions and decisions your team has learned to handle
04The checks that make work safe to rely on
Stays with your organization
Swap the model. Keep everything that makes the work yours.

Your operating knowledge stays with your organization. As models improve, you can put better intelligence to work without starting from scratch.

Build. Operate. Transfer.

OpenFactoryAI runs itYour team owns it
  1. 01Build

    We choose a valuable workflow, understand how it works today and agree on how to measure improvement.

    Then we build the agents, context and checks it needs.

  2. 02Operate

    We run the system alongside your team on real work. We inspect results, handle failures and improve the workflow as we learn.

  3. 03Transfer

    Your team takes over a working capability, along with its workflows, verification rules and operating knowledge.

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One team from first workflow to production

OpenFactoryAI brings the work together: defining the outcome, selecting models, building the workflow, setting up verification and operating the system with your team.

We stay accountable through deployment and transfer—not just the recommendation or the prototype.

Recommendation or prototype
RecommendPrototype
OpenFactoryAI
OutcomeModelsWorkflowVerificationOperationTransfer

Deployments

NuveProIn progress

Improving software delivery inside an established product

NuvePro has a mature software platform, deep product knowledge and customers who depend on its quality.

OpenFactoryAI is embedding with the team to connect agents to the existing repository, architecture, product decisions and review workflows.

The goal: help useful software reach production sooner while preserving the judgment and quality NuvePro’s customers expect.

Status: Deployment in progress. Improvements are being measured against the existing delivery baseline.

  1. RepositoryArchitectureProduct decisions
  2. Agents
  3. Review workflows
  4. Production, sooner
Fund operations

Automate routine document review

Fund teams handled documents from limited partners, general partners and other participants by hand. Each fund had its own formats and rules; historic funds added the work of uncovering those rules.

OpenFactoryAI helped set up an automated workflow around incoming documents and fund rules. Routine work could move through the process automatically. Complex cases and cases above defined thresholds went to people for review.

The workflow reduced the material people had to review and helped the team process documents faster.

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  1. LP, GP & participant documents
  2. Fund rules applied
  3. Routine: processed automaticallyComplex or above threshold: people review
Accounting

Applying agents to client document workflows

Accounting teams spend time requesting and collecting client documents, analyzing them, entering data and following up. Work passes among staff before reaching a partner.

OpenFactoryAI worked on applying agent-led operations to this process, with the aim of shortening document turnaround and giving staff more time to serve clients.

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  1. Request & collect
  2. Analyze
  3. Enter data
  4. Follow up
  5. Partner
Education

Creating and validating customer sandboxes

An advanced simulation company builds customer environments for fields such as banking and healthcare. Each needs to reflect a different business, technology stack and set of scenarios.

OpenFactoryAI helped create a repeatable process for building, validating and tuning each sandbox to customer requirements. The team also worked on evaluating agents trained in those environments, using scenarios suited to each customer and accounting for different starting levels.

The engagement helped accelerate sandbox creation and validation for training people and agents.

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  1. Build sandbox
  2. Validate
  3. Tune to customer
  4. Evaluate agents
  5. Train people & agents
Healthcare

Bringing image and voice analysis into a clinician-support workflow

A healthcare customer used models to process images and voice. OpenFactoryAI worked on bringing those signals together with language models in a workflow designed to help clinicians respond sooner and manage review work.

The workflow supports clinicians. Diagnosis and care decisions remain with them.

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  1. ImagesVoice
  2. Language models bring signals together
  3. Clinician decides
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Questions, answered

01

What is OpenFactoryAI?

OpenFactoryAI is a deploy company for open intelligence. It builds AI systems around your software, workflows and know-how, runs them with your team, then transfers the working capability to you.

02

How does an OpenFactoryAI deployment work?

Build, operate, transfer. We choose a valuable workflow, understand how it works today, agree on how to measure improvement and build the agents, context and checks it needs. We run the system alongside your team on real work. Then your team takes over a working capability, along with its workflows, verification rules and operating knowledge.

03

Why does AI need my company's knowledge?

Models can write, analyze and act. But they don't know how your business works: the systems you rely on, the exceptions your team handles or the standards your customers expect. OpenFactoryAI brings that knowledge into AI workflows built for your organization.

04

Do people stay involved once agents are doing the work?

Yes. We build the context, workflow and verification that let agents take on real work, and people remain involved where their judgment matters. Your team takes decisions that need judgment; agents keep the work moving.

05

What happens when better AI models come out?

Your operating knowledge stays with your organization. As models improve, you can put better intelligence to work without starting from scratch.

06

Where has OpenFactoryAI deployed AI?

Deployments include software delivery inside an established product at NuvePro, routine document review for fund operations, client document workflows in accounting, customer sandbox creation and validation in education, and a clinician-support workflow in healthcare. Customers include Appknox, NuvePro and MatterSec.

07

How do we start?

Bring us one workflow your team wants to move forward. We'll work with you to build, operate and transfer an AI system around it. Email hello@openfactoryai.co to book a meeting.

Put your knowledge to work with AI

Bring us one workflow your team wants to move forward. We'll work with you to build, operate and transfer an AI system around it.

  1. One workflow
  2. Build
  3. Operate
  4. Transfer
  5. Your team runs it
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