Operational knowledge × AI demand

Real work leaves a valuable record.

Convergence Factory identifies, qualifies and connects proprietary operational knowledge with organizations building advanced AI systems.

The thesis

The useful unit is not “data.” It is connected evidence of decisions, actions and outcomes.

Operating companies accumulate years of project histories, service records, correspondence, exceptions, corrections and results. Some of that history may be useful for training and evaluating AI systems—if the rights are clear, the context is intact and the material matches active demand.

Our job is not to convince every company that its archives are valuable. It is to determine where genuine fit exists.

01

Demand first

Buyer criteria should shape origination, not the other way around.

02

Context matters

Longitudinal workflows become more useful when actions connect to outcomes.

03

Rights are part of the asset

Authority, privacy and permitted use determine whether an opportunity is commercially viable.

One interface. Two sides of the market.

Convergence Factory is developing a disciplined origination process: understand what qualified buyers seek, identify operating histories that may fit, and reduce wasted motion on both sides.

For operating companies

Assess what your history may contain.

We begin with the business context—not a blind export. The initial question is whether the records show meaningful work, over time, with usable rights and outcomes.

  • Inventory systems and years of history
  • Identify workflow depth and connected outcomes
  • Evaluate fit against known buyer criteria
  • Define a qualified path to market
For AI data buyers

Improve supply-side precision.

We are establishing acquisition criteria with buyers so we can originate deliberately and present fewer, better-qualified opportunities.

  • Capture current domain and modality demand
  • Screen for scale, continuity and rights
  • Qualify access and extraction feasibility
  • Route opportunities to the relevant mandate

Qualification path

A commercial process built to reject weak fit early.

01

Map the work

Understand the operating process, systems of record and time horizon.

02

Test usefulness

Look for decisions, exceptions, corrections and measurable outcomes.

03

Review viability

Surface authority, privacy, extraction and permitted-use questions.

04

Match demand

Advance only opportunities that fit a credible acquisition mandate.

Founder

Timothy V. Lavoie

Built for the part of a market where information, judgment and relationships have to converge before anything useful can happen.

Timothy is an enterprise business-development and strategy executive whose career includes Aon, Marsh, Willis/WTW, ServiceMaster TRS and insurtech advisory work. He has opened complex corporate relationships, built national strategies and orchestrated specialists around ambiguous commercial problems. Convergence Factory applies that same market-navigation discipline to proprietary operational knowledge and AI demand.

Start with fit

Tell us which side of the market you are on.

If your company has a long operating history—or your organization is actively acquiring proprietary data for AI training or evaluation—the right first conversation is specific and exploratory.

Initial discussions do not require transferring underlying records. Contact delivery will be activated before the site is made public.