AI Tools
Products built on artificial intelligence, from chat assistants to automation.
What AI Tools are
AI tools are products that use artificial intelligence, such as large language models, image generation, or machine learning, to do useful work for their users. They range from simple 'wrappers' that add a friendly interface on top of an existing model to deeply technical platforms with their own trained models.
As assets, AI tools are valued on a mix of revenue, growth, proprietary technology, and defensibility. Because the field moves quickly, buyers pay close attention to how much of the product's value depends on a third-party model versus its own data, workflows, and user base.
Common examples
Most expensive in history
Notable, publicly reported sales that shaped this asset class. These are historical market examples, not Emark transactions.
| Asset | Price | Year |
|---|---|---|
| Character.AI (Google licensing + team deal)Reported technology license and talent agreement. | ~$2.5B | 2024 |
| MosaicML (acquired by Databricks)Generative AI model training platform. | ~$1.3B | 2023 |
| Inflection AI (Microsoft team + license)Reported licensing fee alongside a talent move. | ~$650M | 2024 |
The modern wave of AI tools accelerated after 2022, when powerful, easy-to-access models made it possible for small teams to launch AI products quickly. A gold rush of AI startups and side projects followed.
Large companies moved aggressively to acquire AI talent, technology, and licenses. Some of the largest 'deals' took unusual forms, such as licensing agreements and acqui-hires, rather than traditional acquisitions.
Average prices
Early AI tool / GPT wrapper
$5K – $250K
Small user base, revenue just starting; wide variance.
Growing AI product
$250K – $5M
Real revenue, retention, and some proprietary value.
Platform / strategic
$5M+
Proprietary models, data, or talent draw premium deals.
Early AI tools are priced much like other software (revenue and profit multiples), but valuations vary widely because of how fast the technology changes. Owning proprietary data, models, or distribution raises the price meaningfully.
Frequently asked questions
Is a 'GPT wrapper' worth anything?
It can be, if it has real users, revenue, and a workflow that keeps people coming back. Buyers discount products whose entire value comes from a model they don't control.
Why do AI valuations vary so much?
The pace of change is high, so buyers weigh defensibility heavily. A tool with proprietary data or a loyal audience is worth far more than one that is easy to copy.
Related categories
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