The eeko human data network. Introductions, not an open catalogue.
AI's data supply fails everyone along the chain. Builders inherit legal risk they cannot see. Creators are taken from without being asked. The experts whose judgment models need most are rarely in the room. eeko's data practice is built as a vetted network to fix all three at once: everyone is approved, every match is made by a person, and every item carries its own record.
What is a human data network?
A human data network is a vetted group of people and organisations who make, record, or hold data worth training on, connected to the teams that need it by a party that checks both sides and keeps the record. Training data is not a raw commodity to be scraped off the web. It is the labor and the know-how of actual people, and its value goes up when those people decide to share it, on terms they set, with proof that they did.
eeko did not set out to run one. We build AI agents, knowledge systems, and workflows for regulated enterprises, and those systems kept needing data that no vendor could supply with a straight face about where it came from. Buying it meant inheriting someone else's legal exposure. Generating it meant training on a model's guesses. The only honest path was to go to the people who do the work, pay them, and keep the record ourselves.
So the eeko data practice has three sides. AI teams bring a brief. Credential-checked experts and skilled workers make or record what the brief needs. Creators, companies, and homeowners license what they already hold. Across all three, the rules are the same: approved before joining, matched by a person, consented per item, verified per item, and paid.
An open marketplace sells volume. A network sells fit.
Listings are cheap to make and expensive to trust. We approve everyone, then introduce the right people to each brief by hand.
Thousands of listings, no way to tell which were made by a person, whether the people in them agreed, or whether the seller holds the rights. The buyer does the diligence, or skips it. The seller never learns who used their work.
- Membership Open, unchecked
- Matching Search and hope
- Experts Self-declared
- Relationship Ends at checkout
Buyers, experts, and owners are each approved before joining. A data lead matches a brief to the owners whose archives fit and the specialists able to produce what is missing. Buyers see a curated selection, experts see only their verified field, owners see exactly who licensed what.
- Membership Vetted on every side
- Matching By a person, against a written brief
- Experts Credentials verified, field-locked
- Relationship Standing orders from the same people
Who is in the network, and what each side gets.
- Curated selections, not a listing
- Licensed per use, proof per item
- Reply inside one business day
- Your price, your terms, your exclusivity
- Every listing reviewed by a person
- Paid per licence, usage on the record
From a brief to a relationship.
The introduction is the product. Four steps, every time, whichever side you are on.
Six rules that do not bend.
Every dataset the practice ships is held to these. They are also why some requests get a no.
Where the money goes and who sees it.
How each side is paid
- Experts — paid for approved work at a rate set by specialty and task, shown on the gig. Working for another data platform? Send your current rate through the beat-your-rate offer.
- Workers — paid per accepted hour, from $12 to $30 depending on the program, with kit supplied and consent handled for them.
- Creators and companies — paid per licence at the price they set, with a record of who licensed what and under which terms.
- Referral partners — paid when an introduction they made turns into work. Details under data referral partners.
Buyers see the same transparency from the other side: a fixed price against a written spec, and a receipt that names every item they paid for.
The network, by face.
Sixteen expert fields, sixteen capture programs, a creator catalogue, and a company data channel. A few of the people behind the data.
Network questions.
What is a human data network?
A human data network is a vetted group of people and organisations who make, record, or hold data for AI training, connected to the teams that need it by a party that checks both sides and keeps the record. It differs from an open marketplace in that membership is approved, matching is done by a person against a written brief, and every item that changes hands carries consent, verification, and payment records. eeko runs one as part of its data practice.
Why is the eeko network private rather than an open marketplace?
Because an open marketplace optimises for volume, and volume is the wrong target for training data. Buyers, experts, and owners are each approved before they join. Buyers then see a curated selection matched to their brief instead of an endless listing, experts see only work in the field we verified, and owners learn precisely who licensed their work and under which terms. Fewer, better-fitted relationships produce better data and less legal exposure for everyone.
How are experts and workers vetted?
Experts submit their field, credentials, and work history. We verify licences, degrees, and employment before any task is shown, and each expert is matched only to work in the field that was verified. Workers in the capture programs verify identity, and where the program requires it, trade licences or employer confirmation. Everyone completes identity and tax checks before the first payout. Quality on real work then governs what each person is offered next.
How do people in the network get paid?
Transparently and automatically. Experts see the rate for a gig before accepting and are paid for approved work through automated payouts once identity and tax details are confirmed. Capture program workers are paid per accepted hour, from twelve to thirty dollars depending on the program. Creators and companies set their own price and are paid per licence, with a record of who licensed what. Referral partners are paid when an introduction turns into work.
Who owns the data in the network?
The person or organisation that made or held it. Creators and companies keep ownership and grant licences for the uses a buyer names, with the term and exclusivity they choose. Commissioned work, such as expert demonstrations or capture recordings, is licensed to the commissioning buyer under the terms agreed in the spec. eeko holds the records, not the rights, and nothing enters a dataset without a release or licence from whoever holds them.
How can I or my company join the eeko human data network?
Pick the side you are on. AI teams send a dataset request or book a briefing. Domain experts apply through the expert application or browse the open AI training gigs. Skilled workers join a capture program under get paid to train AI. Creators license their work through the creator catalogue, companies list archives through sell your data, and anyone can refer others as a data referral partner. A real person replies to every application inside one business day.
Join from whichever side you are on.
Build with the network, or inside it.
Training a model, holding expertise the models lack, or sitting on work worth learning from: there is a side of the network for you. Send a request, apply as an expert, or list your data. A real person replies inside one business day. No deck. A next step.
Experienced within
Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: