AI training data by industry. Made by the people who do the work.
A radiology model and a claims model fail in different places, answer to different regulators, and need different people to judge them. eeko sources AI training data by industry: written, recorded, or licensed by practitioners in that sector, checked one item at a time, and delivered with a record your counsel can read. Fourteen sectors below. Find yours.
What is industry-specific AI training data?
Industry-specific AI training data is data built for the way one sector works: its documents, its vocabulary, its rules, and the particular ways its models go wrong. A general corpus teaches a model to sound plausible. A sector dataset, written or recorded by people who practice in that field and reviewed by their peers, teaches it to be right where being wrong carries a cost: a missed contraindication, a misread footnote, a clause that means the opposite of what it seems.
eeko came to this from the other side of the table. We build AI agents and automation for healthcare, legal, financial services, insurance, and manufacturing clients, and kept hitting the same wall: the model needed examples nobody had published. So the data practice exists to make them, with consent, expert review, and a verifiable record on every item.
The fourteen pages linked below each describe what a sector's models need, who in the eeko expert network makes it, which controls apply, and what a pilot looks like. The data types themselves are described on the solutions pages.
Training data for labs, robots, vehicles, factories, and farms.
Sectors where the model has to perceive or manipulate something physical, or push past what the public web already taught it. Recorded by trained operators and workers, labeled by engineers and specialists.
Training data for medicine, science, law, money, and government.
Sectors where a confident wrong answer is the expensive kind, and where the data has to survive a compliance review as well as a training run. Authored and graded by licensed and credentialed practitioners.
Training data for stores, studios, and classrooms.
Sectors where the rights question is the hard one: imagery you are allowed to use, creative work its makers agreed to license, and teaching material from people who know how students go wrong.
One verification standard, whatever the sector.
The experts change from page to page. The record that travels with each item does not.
Why a sector dataset beats a bigger general one.
Four things only a practitioner can supply
- The real failure modes. An adjuster knows which claims are ambiguous; a pharmacologist knows which interactions a model will invent. Those are the examples that move a sector model, and they are not on the web.
- The vocabulary and the documents. Charts, filings, policies, drawings, and ledgers have structure that generic annotators mislabel. Sector experts label them the way the sector reads them.
- The judgment. Preference and evaluation data is only as good as the rater's right to an opinion. A graded legal answer graded by a lawyer is a different asset from one graded by a crowd.
- The compliance posture. Each sector carries its own privacy, licensing, and procurement rules. Building to them from the first item is cheaper than retrofitting a dataset that cannot pass review.
From brief to delivered dataset, sector by sector.
Fixed scope, fixed price, and a pilot before volume. The same path for every industry; only the experts and the controls change.
What sector data looks like on delivery.
AI training data by industry: common questions.
What is industry-specific AI training data?
It is training, preference, or evaluation data made for the way one sector actually works: its documents, its vocabulary, its rules, and its failure modes. A general dataset teaches a model to sound plausible. An industry dataset, written or recorded by people who practice in that field and checked by their peers, teaches it to be right where being wrong has a cost. eeko builds these sets to a written specification, so what you receive matches the capability you are trying to ship, not a generic corpus with your industry's name on it.
Which industries does eeko provide AI training data for?
Fourteen today: frontier AI labs, robotics, autonomous vehicles, healthcare, life sciences, legal, financial services, insurance, manufacturing, retail and e-commerce, media and entertainment, education, the public sector, and agriculture. Each has its own page describing the data types, the experts who make them, and the controls that apply. If your sector is not listed, send a brief anyway. The expert network and capture programs behind these pages cover more ground than the fourteen headings suggest.
Who creates and labels the data for each industry?
People who do the work. Clinicians for healthcare, attorneys for legal, analysts and accountants for finance, adjusters and underwriters for insurance, engineers for manufacturing, agronomists for agriculture, and so on, drawn from the eeko expert network after a credential check. Hands-on sectors such as robotics and the trades are recorded through eeko's paid capture programs by the workers themselves. Every label and every recording is traceable to the person who made it, and a second expert reviews before anything ships.
How is industry training data verified and licensed?
Every item gets a cryptographic fingerprint, a signed provenance record, an independent timestamp, and a consent and licence entry recorded at the item level. Human-origin checks look for generator signatures and read C2PA and IPTC fields. Experts review content, personal data is screened and masked where the sector requires it, and the whole process is written to a hash-chained audit trail. Delivery closes with a signed receipt that names every item by its hash, so your counsel can answer where each record came from.
How much does industry-specific training data cost?
It depends on the expertise required, the data type, and the volume, so every engagement is quoted at a fixed price against a written scope. Clinician-authored cases cost more per item than retail attribute labels; a teleoperation episode is priced differently from a graded legal answer. We start with a pilot batch so you can check quality and format before committing to volume, and the pilot price is agreed up front. Reply with your spec and you get a scoped quote inside one business day.
Can eeko deliver data in a format our training pipeline already uses?
Yes. Datasets ship as JSON Lines, CSV, Parquet, or WebDataset, with COCO for vision tasks and Croissant metadata describing the whole set. Schema, field names, and splits follow your specification, and the delivery receipt lists every file and item by hash. If your pipeline needs something else, say so in the brief; format is agreed at the pilot stage, not discovered at delivery.
Browse the data practice another way.
Your sector, your spec, a pilot batch to prove it.
Tell us what the model has to do and where it is falling short. A data lead answers inside one business day with questions, a sourcing plan, and a fixed quote for a pilot. No deck. A ranked list of what to source first.
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Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: