AI labs & model builders
Mid-tier labs building frontier-adjacent models, vertical AI startups in legal, medical, finance, and coding, and open-source model teams that need proprietary datasets to differentiate.
For buyers
Acquire the signal no one else can source.
Web-scraped data is a commodity. Dayda locates proprietary, human-generated datasets from startups winding down, domain-specific data that exists nowhere else, and delivers it vetted, sampled, and ready to train on.
Diligence is done before you arrive.
The hard part of training data isn't budget, it's access and legal risk. Both are solved upstream, before a listing ever reaches you.
01
Legal clarity on every deal
Every listing has passed provenance review before it reaches you. You know exactly what you're buying, who owns it, and what you're allowed to do with it before an offer is ever made.
02
Sample before you commit
A 1–5% anonymized sample unlocks under a standard NDA. Evaluate format, coverage, and quality against your roadmap before pricing enters the conversation.
03
Data you cannot self-collect
Proprietary, human-generated data from real products and real users. This is the domain-specific signal that web scrapes and synthetic pipelines cannot produce.
04
Managed end to end
Dayda handles sourcing, vetting, negotiation, the Data Purchase Agreement, and secure transfer. Your team evaluates and decides. We carry the rest.
The journey
Seven steps. Zero mystery.
- 1
Browse verified listings
Filter by domain, data type, format, size, and licensing preference. Full metadata on every listing. No seller identity yet.
- 2
Express interest
A short form: company, intended use case, licensing preference, timeline, budget range. No commitment attached.
- 3
Sign the standard NDA
Dayda's mutual NDA unlocks the sample. One document, no bespoke negotiation at this stage.
- 4
Review the sample
Five to seven days with a 1–5% anonymized slice. Raise format, quality, or completeness questions directly with us.
- 5
Submit an offer
Offer directly or respond to Dayda's pricing guidance. We facilitate negotiation between both parties.
- 6
Execute the DPA
Ownership transfer, license scope, warranties, indemnification, redistribution limits, all in one standard agreement.
- 7
Secure delivery
Data arrives via encrypted transfer. You confirm receipt, payment releases to the seller, and the deal closes.
Four kinds of buyers, one standard of supply.
Whether you're training a vertical model or equipping a government program, every dataset passes through the same provenance gate.
Enterprise AI teams
Banks and hedge funds training internal financial models, hospital systems building clinical tools, law firms and legal tech, retailers building recommendation engines.
Data services companies
Annotation and enrichment platforms that buy raw proprietary corpora, add structure, and resell finished datasets to their own enterprise customers.
Government & defense
Defense contractors, DARPA-funded research groups, and public-sector AI initiatives with strict provenance requirements that commodity data can never satisfy.
FAQ
Straight answers, no asterisks. Open any question for the details your team needs before a deal.
Ask about custom sourcingFind the dataset
no one else has.
Browse live listings or describe what you need and we'll tell you if we can source it. Browsing costs nothing.