AI Infrastructure & MLOps Enterprise Only

Ooak Data

Real-company data and RL environments for frontier AI agents

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PricingEnterprise Only
Starting priceContact sales
Free planUnknown
Free trialYes
APIUnknown
Open sourceNo
DeploymentManaged Service | Secure Data Pipeline
Last verifiedJuly 30, 2026
Overview

Tool overview

Ooak Data is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Ooak Data?

Ooak Data turns real company workflows into anonymized digital twins and reinforcement-learning environments. It preserves multi-tool structure across documents, communications, project systems, and business applications while removing sensitive identifying content.

Best fit

Best for

Frontier labs and enterprises evaluating agents on real workflows

Audience

Who is it for?

Frontier AI labsEnterprise AI teamsAgent startupsEvaluation researchersCompanies licensing operational data
Recommendation

Decision note

Suitable for evaluation only after reviewing final commercial terms, permissions, lifecycle status, data handling, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

Real enterprise data sourced from operating companies

Automated multimodal anonymization into digital twins

Multi-step and multi-tool RL environments

Expert-level tasks calibrated against frontier models

APEX library of realistic business workflow worlds

Data-partner program with scoping and compensation

Workflows

Use cases

Training agents on realistic business workflows

Evaluating enterprise agents before deployment

Building digital twins from company data

Testing multi-tool and long-horizon behavior

Licensing operational datasets for AI research

Strengths

Pros

  • Uses real workflows rather than synthetic proxies
  • Preserves cross-tool organizational context
  • Targets difficult multi-step agent behavior
  • Publishes a transparent data-partner process
Considerations

Cons

  • Commercial pricing is not public
  • Data partnerships require legal and privacy review
  • Environment quality depends on source-data coverage
Considerations

Limitations

Ooak Data handles sensitive enterprise workflows. Partners must review anonymization guarantees, contractual rights, employee and customer consent, retention, jurisdiction, compensation, model-training use, and the possibility of re-identification before transferring data.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planUnknown
Free trialYes
Pricing context

Billing options

Custom enterpriseData licensing agreement
Pricing context

Pricing note

Ooak Data scopes RL-environment and enterprise-evaluation engagements directly. Its data-partner program offers valuation and payment for qualifying datasets, but no public standard buyer price, free product plan, or self-service trial is published.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Slack

Gmail

Notion

Jira

SharePoint

Microsoft Teams

Google Drive

GitHub

GitLab

Salesforce

HubSpot

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredUnknown
Open sourceNo
DeploymentManaged Service | Secure Data Pipeline
CompanyOoak Data
Launch year2024
Editions / plansRL Environments Digital Twins Data Partner Program
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Release notes → Data source →
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Answers

Frequently asked questions

Ooak Data turns real company workflows into anonymized digital twins and reinforcement-learning environments. It preserves multi-tool structure across documents, communications, project systems, and business applications while removing sensitive identifying content.
Frontier labs and enterprises evaluating agents on real workflows
The listed pricing model for Ooak Data is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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