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Where to Get Training Data for AI in 2026
Where to find AI training data: public datasets, data vendors, synthetic data, and your company's own records. Compare the options and what each costs you.
You can get AI training data from public datasets, from data vendors who collect or label it for you, from synthetic data generators, or from your own business records. Public datasets are free but generic. Vendors fit a specific task but cost money. Your own records are often the most specific option, and if you run a company with years of support tickets, project files or lab data, they may already be worth something to an AI buyer.
The main sources
The right source depends on what your model needs to learn and how much you can spend on collection and labeling. The IBM overview of training data covers the basics: data is collected, cleaned, split and labeled before a model can use it. Most of the work is in the preparation, not the download.
| Source | Cost | Best for | Main limit |
|---|---|---|---|
| Public datasets | Free to low | Benchmarks, prototypes, general tasks | Generic, often used by everyone else |
| Data vendors and labeling firms | Paid per project | Labeled data for a defined task | Price scales with volume and labeling |
| Crowd-sourced collection | Paid per task | Voice, audio, video, text collected to spec | You need a clear spec and a review step |
| Synthetic data | Tool or service cost | Rare cases, privacy-sensitive data | Can miss the messiness of real data |
| Your own records | Often no cash cost up front | Domain-specific work tied to your business | Needs cleaning, de-identification and legal review |
Public datasets
Public datasets are the cheapest starting point. Many are free to use with credit. Epoch AI, for example, offers a database of over 3,700 models under a Creative Commons Attribution license, though it describes AI models rather than providing training text or images. Check each dataset's license before you train a commercial model on it.
Data vendors and labeling firms
If you need labeled examples for a specific task, vendors can collect and label data for you. Bright Data's 2026 roundup of training data providers lists names such as Appen, Defined.ai, Nexdata and DataoceanAI. Clickworker says its crowd generates, validates and labels data across voice, audio, video and text. Compare vendors on the sample they show you, not on their marketing.
Synthetic data
Synthetic data is generated by a model or a rules engine, and it can cover rare cases on purpose. According to Tonic.ai, a 2022 MIT study found that models trained on synthetic data matched, and sometimes beat, models trained on real data for the same task. The same guide also shows the trade-off with privacy: redacting a sentence keeps it safe but strips out the structure a model learns from, while synthesizing it can keep that structure.
Your own records
Many companies already hold useful training material and never use it. Support tickets, CRM notes, standard operating procedures, project files, code, CAD drawings and lab results can all be useful to AI teams building agents for a specific industry. The value depends on how many years of records you have and how connected they are. Before you share any of it, remove names, contact details and IDs, and check your contracts and privacy obligations with your own counsel.
Selling your own records to AI buyers
Smelted is a free matching service for companies that want to license their records. It works like this:
- You tell Smelted what kinds of records you hold and in which tools.
- Smelted finds which buyers fit your company and gives a ballpark range. The range is not a price. A real number comes after a buyer reviews a sample.
- Smelted introduces you to two or three matching buyers. You choose what is included and which buyers you meet.
- Names, contact details and IDs are removed before anything is shared.
- You keep ownership of the records. The buyer licenses a copy.
- The buyer pays Smelted's fee. You pay nothing.
Smelted is built for owners, founders and C-level leaders at US companies with 50 to 500 employees, founded in 2022 or earlier, with years of records in tools such as Zendesk, Jira or GitHub, Salesforce or HubSpot, Bullhorn, AutoCAD or Revit, or Benchling. The core industries are staffing and recruiting, engineering and architecture, B2B software, and science labs and biotech R&D.
Payment timing depends on the buyer. Buyers' pages say payment comes a few weeks to two months after signing, so plan on one to three months from the first call to payment.
If you have fewer than 30 employees, be aware that the buyers who take smaller companies pay less. Talk to Chris at 954-682-7560 before you decide.
How to start
- Decide what you need: public data for a prototype, a vendor for labeled data, or your own records for a domain-specific model.
- If you hold records you think could help an AI team, review what is in them and which tools they sit in.
- If you have under 50 employees or are not sure of your size, fill in the two-minute form at smelted.ai/get-started. It asks for headcount, tools and history.
- If you have 50 or more employees, you can book a short intro call or use the form instead.
FAQ
Where can I find AI training data?
Start with public datasets if you need general data, and with vendors if you need labeled data for a specific task. If you run a company with years of operational records, check whether those records could be licensed. Smelted matches companies with records to buyers, but it does not sell datasets to people looking for training data.
How do you sell your data to AI companies?
You choose what to share, remove identifying details, and license a copy to a buyer through a matching service such as Smelted. You keep ownership of the original records. Get advice from your own counsel before you share anything.
Is data brokering illegal?
Not in general, but the rules depend on the type of data, where it came from, and what your contracts and privacy obligations say. Smelted cannot give legal or compliance approval for any deal. Check with your own lawyer before you share records.
How much money do companies get for selling their data?
It depends on headcount, years of records and how connected the data is. Smelted does not quote a dollar figure in advance. A real number comes after a buyer reviews a sample of your records.