The data partnership layer between operating businesses and AI research.
Teaching AI how real businesses work.
AI labs are spending heavily to make their systems useful inside real companies, and they need real, anonymized operational data to get there.
KnowledgeFlood connects established service businesses with those research teams, and your business keeps running exactly as it does today.
The internet is used up. Your process isn't.
Already scraped and trained on.
Articles, forums and public documents tell AI what things are. Every lab already has them, so they no longer set models apart.
Never published. In short supply.
Your tickets, files and project history show how work actually gets done, start to finish. Labs can't get that anywhere else, which is why they pay for it.
Much of the value isn't the finished work. It's the trail behind it: the steps your team took, the judgment calls they made, and the checks they ran before anything was signed off.
The steps.
How a request is picked up, broken down, handed off and closed.
The judgment.
Why a reviewer pushed back, what got escalated, and how exceptions were handled.
The checks.
The review, reconciliation and sign-off steps that separate good work from finished work.
What we look for.
The record of how your company works already lives in the tools your team uses every day. Data is anonymized and shared in the format set out in your agreement.
| Type | Source | What it shows | Common tools |
|---|---|---|---|
| S-01 | Messages | Where work is coordinated: the decisions reached and the reasoning behind them | Slack, Microsoft Teams, Gmail, Outlook |
| S-02 | Documents | SOPs, playbooks, templates, reports: the written record of how the firm operates | Google Drive, SharePoint, Notion, Dropbox |
| S-03 | Business records | Ledgers, invoices, pipelines and orders from the systems that run the business | QuickBooks, Xero, Salesforce, HubSpot |
| S-04 | Tasks & tickets | Work captured end to end: the brief, the steps, the back-and-forth and the result | Asana, Jira, Zendesk, ServiceNow |
| S-05 | Practice & project history | Engagement timelines, review notes and status changes across many clients | Practice management and project tools |
Tool names are examples of common sources. KnowledgeFlood is not affiliated with these companies.
Built for established service businesses.
If your team runs on documented processes, repeatable workflows and hard-won operational knowledge, your data is likely relevant.
| Item | Industry | Typical workflows |
|---|---|---|
| 01 | Accounting & tax firms | Engagements, review, month-end close |
| 02 | Financial services firms | Operations, onboarding, compliance |
| 03 | Technology companies | Support, delivery, internal operations |
| 04 | BPOs & recruiting firms | Sourcing, screening, fulfillment |
| 05 | Consulting businesses | Engagement delivery, frameworks |
| 06 | Professional services | Client work and project delivery |
| 07 | Legal & compliance organizations | Matter workflows, reviews |
| 08 | Healthcare administration teams | Billing, scheduling, intake |
| 09 | Logistics & operations businesses | Dispatch, fulfillment, exceptions |
From inquiry to payment, in four steps.
Submit
Tell us about your business in a short form. We confirm eligibility within one business day.
Intro call
20 minutes with an owner or executive to walk through the program and confirm fit.
Direct intro
We introduce you to the research team. Your counsel reviews the NDA and anonymized data agreement.
Transfer & pay
Data is fully anonymized under the signed agreement, and paid per its terms.
Security is the foundation of this program.
It's not our goal to replicate businesses, products, customers, or competitive advantages. The sole purpose of this initiative is to help train and evaluate AI systems on realistic enterprise settings.
All data is handled under strict contractual protections. You sign nothing until your own legal and compliance advisors have reviewed the full agreement. Regulated businesses remain responsible for their own obligations, such as client confidentiality rules, IRC §7216 for tax preparers, HIPAA, GDPR / UK GDPR, the Australian Privacy Act, and other applicable privacy law, and we'll help you raise these with the buyer early.
- 01Original datasets are retained only for processing purposes
- 02All data is anonymized before any downstream use
- 03All confidential information is removed
- 04Personally identifying information is anonymized within 120 days
- 05Original datasets are deleted after processing
- 06No data is publicly shared
- 07No customer information is exposed
- 08Companies retain ownership of their underlying data
Selected partners receive significant compensation.
Payments typically range from $300,000 to $2,000,000. The final amount is set by the buyer and written into your agreement.
| Factor | Basis | What it means |
|---|---|---|
| F-01 | Dataset size & volume | How much operational history you have |
| F-02 | Workflow complexity | Multi-step, multi-person processes score higher |
| F-03 | Uniqueness of operational knowledge | Specialized processes that aren't documented elsewhere |
| F-04 | Data quality | Complete, consistent, well-structured records |
| F-05 | Domain expertise represented | Depth of professional judgment captured in the work |
The current program closes October 31.
Frequently asked.
( 01 )Who is buying the data?
A research team at a major AI lab training and evaluating AI systems for enterprise work. The buyer's identity is shared on your introductory call and in the NDA, and you'll deal with them directly from that point.
( 02 )Are you buying my company?
No. This is a data agreement, not an acquisition or investment. You retain ownership of your underlying data, and nothing changes about ownership, staffing, or how you serve customers.
( 03 )Will this be used to compete with me?
No. The purpose is to train and evaluate AI systems on realistic enterprise settings, not to replicate your business, products, customers, or competitive advantages.
( 04 )How is the payment amount decided?
The buyer sets it based on dataset size, workflow complexity, uniqueness of the operational knowledge, data quality, and the domain expertise represented. The final amount is in your agreement before anything is transferred.
( 05 )What does it cost my company?
Nothing. KnowledgeFlood is compensated by the buyer for successful introductions. You never pay us a fee.
( 06 )What about customer consent and confidentiality?
Many businesses, especially in accounting, legal, financial services, and healthcare, have specific obligations around client information. We strongly recommend involving your counsel early, and we'll help you raise any consent or scope requirements with the buyer before signing.
( 07 )Why is there a deadline?
The buyer's current program has a fixed budget and runs through October 31. Companies that are introduced and move forward before then are eligible under the current terms. Later programs may or may not be available.
( 08 )Who should fill out the form?
A CEO, managing partner, owner, or executive who can make decisions about the company's data and agreements.
See if your company qualifies.
- 01About two minutes to complete
- 02Reply within one business day
- 03No commitment and no cost to apply
- 04Your submission is kept confidential