How we assess data licensing opportunities.
A useful licensing assessment has two parts. The first is a broad market starting point. The second is the specific commercial question: which buyers need the records, what would they be permitted to use, and which deal structure makes sense for the owner?
The records matter.
We look at what the data captures, where it came from and which parts of the history are still available. A code repository with preserved human review may suit a different use from a code snapshot. A support archive with the decisions and outcomes linked may be more relevant to some buyers than a collection of final answers.
The buyer matters.
Different AI teams have different technical and commercial requirements. We distinguish public acquisition programmes, real conversations and specific buyer indications. The availability of a published sourcing page does not establish that a buyer will purchase a particular archive.
The agreement matters.
The scope, permitted uses, term, exclusivity, preparation, acceptance and payment arrangements can change the economics. We compare what the owner would receive with the rights and obligations involved.
How the calculator works
The calculator gives company owners a starting point for exploring a licensing opportunity. It brings together selected publicly documented estimation models associated with Troveo, micro1 and Handshake, using team size, retained history and headquarters as inputs.
Avelence independently implements the calculations. For the selected profile, it takes the lowest modeled lower bound and the highest modeled upper bound, then rounds the displayed range outward. It does not average the models into a predicted price.
The distinction matters because the models describe different licensing scenarios. Some may cover several licenses rather than one transaction. The range is not an annual-income figure, a minimum payment the company can expect or a probability interval around an assessed market value.
What the sources represent
| Source | Role in the model | Interpretation |
|---|---|---|
| Troveo's public business-data estimator | A licensing scenario based on team and history categories | The model recorded in our source review includes multiple modeled licenses, not secured sales |
| micro1's public payout estimation model | A company-profile-based numerical estimate | A reproduced model is different from an offer for a reviewed contribution |
| Handshake's public data-partnership estimator | A related company-profile model with its own adjustments and supported inputs | Extensions beyond the source interface are Avelence modeling choices |
The source implementations were recorded in the model's October 2026 evidence set. They are not live quotations from the providers. Our source register records the version, capture date and validation status used for each component; changes to the numerical model receive a new version.
micro1 and Handshake's recorded formulas have related structures. They should not be counted as independent observations of three separate market prices. Geography adjustments and interpolation are also model assumptions, not measured discounts for the visitor's country.
What the calculator knows
It knows the values entered in the displayed fields. It does not inspect the company's records, identify which permissions are available or assess a buyer's current requirement.
Company size and retained history can help describe potential operational scale. They cannot reveal whether the archive contains the specific decisions, context and outcomes a buyer needs. Current headcount also does not describe the size of the team throughout the entire retained period.
For inputs beyond a source's original interface, or where a component relies on an earlier recorded implementation, the output remains a modeled scenario. Mathematical consistency does not turn it into a provider commitment. Large outputs deserve the same scope and source scrutiny as small ones.
What Avelence does after the estimate
We start with a high-level profile of the business and its records. We investigate which parts of that history fit relevant buyer requirements, how to present the opportunity and which commercial routes are worth pursuing.
As proposals develop, we compare the payment, preparation work, permitted uses, exclusivity and continuing obligations. The owner can authorize Avelence to handle buyer conversations, join the discussions with us or use our research and preparation before negotiating directly.
The calculator provides orientation. The commercial work establishes the scope and available offers for the actual asset.
Sources
References identify the public source models. They do not imply a partnership, a current buying mandate or an offer to the visitor.
Model reference: avelence-range-2026-10-01.2
Illustrative outputs from the current model
These are outputs of the current Avelence model, in USD. They are not buyer offers or annual revenue.
| Profile | Employees | Retained years | Modeled lower bound (USD) | Modeled upper bound (USD) |
|---|---|---|---|---|
| Default US profile | 20 | 10 | $160,000 | $500,000 |
| Shorter US history | 20 | 1 | $80,000 | $300,000 |
| Established US team | 50 | 10 | $285,000 | $700,000 |
| Larger US team | 100 | 10 | $375,000 | $1,000,000 |
| UK / European headquarters | 50 | 10 | $210,000 | $700,000 |
Model version: avelence-range-2026-10-01.2. Bounds are rounded outward to $5,000 increments. Scenario scope and number of licenses differ.
What happens beyond the model.
We examine the data category, retained structure, probable buyer uses, existing permissions and relevant preparation costs. Then we look at commercial feedback and realistic licensing choices. A specific owner may find several buyer markets, or a narrowly defined market that values only part of an archive.
The goal is to develop a useful negotiating position before the owner decides which opportunity to pursue.
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