Communication data
Internal emails, team chats, and meeting transcripts.
We buy operational data from companies across America
Requirements
- 50+ employees
- 80%+ of company conversations happen in English
- Not software, healthcare, law, or government/defense
- At least 5 years of complete operational data with no major gaps
- Willing to share internal company data (not customer data)
How valuation works
Valuation is determined by the completeness of data and quantity of the data measured in gigabytes.
Data we need
Task and workflow data
Work orders, project tasks, and dispatch logs.
Financial and bidding data
Internal estimates, budgets, and bid worksheets.
Technical documentation
SOPs, inspection forms, and equipment manuals.
Asset and entity data
Company equipment, fleet records, and maintenance schedules.
Steps to Licensing Data
- Share name and data volume for each software tool the company uses
- Get a valuation estimate from us
- Sign data sharing agreement
- Download your data from software tools
- Upload to our secure data platform
- Data will be reviewed
- When approved, we transfer money to your account
Suggested industries
HVAC ContractingFreight LogisticsPlumbing ServicesGeneral ConstructionAccounting ServicesProperty ManagementFreight BrokerageCommercial DevelopmentEngineering ConsultingIndependent HotelsWaste ManagementSecurity ServicesLandscape ContractingPest ControlCommercial Roofing ServicesIndustrial Equipment LeasingFleet MaintenanceCommercial Flooring
FAQ
What privacy guarantees do companies have?
The information is de-identified prior to being licensed. Any receiver of the information is contractually obligated not to re-identify anyone.
What is my data used for?
AI companies learn how to perform operational tasks for a type of business by learning from the communications and other work output created by employees of the business. AI companies use this learning to make their AI apps perform better on operational tasks for businesses.
What is AI training?
AI models learn in a similar way that kids do.
First, you provide the AI with general information to learn patterns across subjects. This is like students reading a bunch of books to build a foundation of knowledge. (Pretraining)
Then you provide ideal examples of how to perform a task, like giving a student sample questions with good answers. The AI is trained to follow those examples so it gets better at answering new questions in a similar way. (Fine tuning)
Then the AI gets graded, like a student taking a test. Training uses those grades to help it give better answers over time. (Reinforcement learning)