Your historical business data could become a new revenue stream.
Your business has spent years solving problems and getting work done. Those records may be valuable to AI buyers. Siro helps you assess the opportunity and structure a licensing deal.
Start with a conversation. No passwords, system access, or raw-data upload.
What could your data generate?
Explore a licensing scenario based on your business and the assumptions below.
Illustrative arithmetic, not a valuation or offer. These example rates are not market benchmarks. A buyer may offer different terms or no offer.
Example assumptions: 40 records/person/month · 25% qualify · $250–$1000 per 1,000 qualifying records.
240,000 modeled records · 60,000 assumed to qualify. Actual eligibility depends on the records and your rights.
A conversation about your records and relevant buyer demand.
The work is done.
The opportunity may still be ahead.
Useful records show how people think, decide, and complete work. Explore the kinds of history your business may already hold.
Tickets · Conversations · Resolutions
Customer Support
Years of customer problems, team responses, escalations, and resolved cases.
CRM · Sales Calls · Renewals
Sales
The decisions, conversations, and follow-ups behind won and lost business.
Issues · Code Reviews · Incidents
Software Engineering
Debugging, migrations, technical decisions, and completed fixes.
Models · Reconciliations · Closes
Accounting & Finance
Forecasts, analyses, audits, and the reasoning behind financial work.
Contracts · Reviews · Diligence
Legal
Completed legal work and document histories, where licensing rights permit.
Bids · Inspections · Projects
Construction & Engineering
Specifications, site reports, work orders, and complete project histories.
Screens · Evaluations · Hiring
Recruiting
Sourcing, structured evaluations, offers, and hiring workflows.
SOPs · Approvals · Scheduling
Operations
Vendor decisions, handovers, approvals, and how work gets completed.
Campaigns · Briefs · Reporting
Marketing
Campaign decisions, revisions, creative briefs, and performance outcomes.
Underwriting · Claims · Appeals
Insurance
Documented reviews, decisions, claims processes, and resolutions.
Not sure which records qualify? That is where we start.
Discuss Your Historical DataReal work carries context.
Context creates value.
A finished answer tells only part of the story. Historical business records can connect a problem to the reasoning, actions, and outcome behind it, giving AI systems examples of how professionals actually work.
- 01
The Problem
What needed to be solved.
- 02
The Decision
How the team assessed it.
- 03
The Work
What happened next.
- 04
The Outcome
Whether the work succeeded.
Commercial value depends on the records, quality, available rights, and current buyer demand. More records alone do not guarantee a licensing opportunity.
A clear path from historical records
to a licensing opportunity.
Understand the commercial opportunity before investing in a substantial preparation project.
- 01
Tell Us What You Have
Start with your business, systems, years of history, and approximate record volume. A high-level overview is enough.
- 02
Assess The Opportunity
We identify records that may have commercial value and build a profile of the potential dataset.
- 03
Test Buyer Demand
We approach relevant AI buyers to understand interest before you undertake substantial data preparation.
- 04
Agree On The Deal
If there is a fit, establish the scope, economics, permitted uses, rights, and restrictions.
- 05
Prepare The Records
Export, review, de-identify, and format the agreed records for the defined commercial opportunity.
- 06
License & Get Paid
The buyer receives the agreed rights and your business receives compensation when transaction conditions are met.
Keep control of
what is shared.
We begin with a description of the opportunity. You decide which records are considered, and a licensing agreement defines the rights and permitted uses.
Jordan at Example Company reported an issue with account 4821. Support identified a configuration error and confirmed the fix.
[Customer] reported an account issue. Support identified a configuration error and confirmed the fix.
Fictional example. Replacing names alone does not make information anonymous. Records may need further review, removal, or exclusion before delivery.
A few useful
answers.
Find out whether your data
could generate revenue.
Choose a time below. We will discuss what you have, where buyer interest may exist, and what a sensible next step looks like.
A practical first conversation.
You do not need a prepared dataset or a valuation. Come with a high-level overview of your business and the records it holds.
- Your systems and historical coverage
- The kinds of work your records capture
- Potential fit and next steps
No confidential records are needed to book.