Insights
Notes on teaching machines to work.
- Why Bearish AI: what we do that other training data providers don’tMost providers sell answers. We sell the work behind them, plus a way to check it.
- How to choose an AI training data provider: nine questions to askThe questions that separate a dataset you can trust from one that quietly wastes compute.
- Why AI agents need real work, not just more dataAgents don’t lack knowledge. They lack experience.
- The future of AI training data is environments, not textThe scraping era is ending. The practice era has started.
- Real, synthetic or scraped: what each kind of AI training data teachesDifferent data teaches different things. Know which lesson you are paying for.
- Arabic-native training data: why translated data fails Gulf businessA translated task teaches a model how English sounds in another language.
- Why business agents need local business data, not translated promptsTranslating the words is easy. Knowing how each country does business is the job.
- The people behind Bearish AI, and how we workWe didn’t study real work from the outside. We did it.
- How Much Is My Company Data Worth to AI Companies Today?Reported deals run from about ten thousand dollars to ten million. Where you land depends on a handful of things you can check today.
- How Much Do AI Companies Pay for Training Data? Reported DealsThere is no single price. There are units, and each unit has its own range.
- AI Training Data Pricing: Five Models and How Each Is BuiltBefore you ask what a price is, ask how it is built.
- Raw Data vs Prepared Data Value: What Preparation Really AddsBuyers do not pay for files. They pay for what they can safely train on.
- Exclusive vs Non-Exclusive Data Licensing: Which Pays More?Exclusivity pays more per deal. It only wins if you would not have sold to anyone else.
- How to Value a Codebase for AI Training: A Practical ChecklistLines of code are the wrong unit. The right unit is how many trustworthy tasks the code can produce.
- Your Company Data Is Not Cheap: Why Data Owners Undersell ItNot cheap does not mean worth millions. It means worth pricing carefully.
- AI Data Licensing Value by Region: USA, Europe, Middle EastWe found no price list by region. We did find rules that change what you can sell, to whom, and at what cost.
- Arabic Business Data Value for AI Training: Why It Is ScarceScarcity helps value. Cleaning, dialect and rights decide how much of it you keep.
- Is My Startup’s Data Worth Anything to AI Labs? A Frank GuideSometimes yes, often not much, and occasionally a surprise. Here is how to tell which you are.
- What Makes Data Valuable for AI Training? Six Real DriversVolume is the least interesting thing about your data. Here is what AI labs actually look for.
- What Makes Data Worth Less to AI Labs: Seven Value KillersNot every archive is an asset. These are the reasons buyers mark data down, and which ones you can fix.
- Why Version History Is Worth More to AI Than a Code SnapshotA snapshot is the answer sheet. The history is the exam, the attempts and the marking.
- Linked Data for AI Training: Code, Tickets and Chat TogetherCode says what was done. Tickets say what was asked. Chat says why. Linked together, they teach more than the sum.
- Personal Data Lowers Data Value, and Removing It Has a CostNames in your chat history are a liability to a buyer. Taking them out is real work, and some context goes with them.
- Data Ownership and Rights Before You Sell Data to AI CompaniesHaving the files is not the same as having the right to license them. Buyers will ask which one you have.
- Never-Published Data and Benchmark Contamination, ExplainedIf a model has already seen the answer, the test proves nothing. Data that was never public cannot have been seen.
- Scraped Data vs Proprietary Data: Which One Is Worth More?Scraped data is abundant, contested and cheap per unit. Proprietary data is scarce. Scarcity alone does not make it valuable.
- Is Legacy Code Valuable for AI Training? Three QuestionsAge alone does not make code valuable. A few specific properties do.
- What Happens to a Company’s Data When It Shuts Down? A GuideWhen a company closes, its data does not vanish by itself. It is either preserved on purpose, sold, or lost by accident.
- How to Prepare Company Data for AI Labs: An Eight-Step ChecklistMost of the work in selling data happens before any buyer sees a file. Here is the order that saves rework.
- Pseudonymizing Data for AI Training: What It Is and What It Isn’tStable stand-ins keep the story of the work and hide the obvious identities. They do not turn personal data into anonymous data.
- How Data Preparation Increases Data Value for AI BuyersBuyers do not price your storage bucket. They price what they can train on, test with and defend in diligence.
- How to Sell Data to AI Companies: A Step-by-Step Guide for OwnersNine steps from “we might have something” to a signed license and a clean delivery.
- What Is in an AI Data Licensing Agreement? The Key TermsA license is a bundle of choices about what a buyer may do, for how long, and who carries the risk. Read each choice before you sign.
- What AI Labs Check in Data Due Diligence Before They BuyA lab’s review comes down to seven questions. Sellers who can answer them on paper close faster and lose less to discounts.
- Turning Bug History into Graded Coding Tasks (Fail-to-Pass)A bug ticket, its fix and a test that flipped from red to green are the raw ingredients of a graded task. The work is in everything around them.
- Data Cards and Provenance for AI Training Data: What to IncludeA data card is the document a buyer’s legal, security and research teams read before anyone looks at a single file.
- Common Mistakes When Selling Company Data to AI Labs, and FixesMost expensive errors happen before a buyer is involved, and a few happen in the contract. Here are the ones public evidence points to.
- How Long Does It Take to Sell Data to an AI Lab? Real TimelinesNobody publishes average deal times. The stages are knowable, and most of the clock is in the ones you control.