AboutDayda.
Dayda is a managed data marketplace connecting distressed and shutting-down startups with AI labs, enterprises, and model builders who need proprietary training data.
Two problems.
One market.
Data that disappears
during wind-down.
Startups that are shutting down have valuable proprietary data but no way to monetize it. Founders don't know what their data is worth, don't know who to sell it to, and face significant legal complexity if they try to do it themselves.
Without a broker, that data gets deleted during wind-down, destroying real value for founders, investors, and the AI ecosystem.
Proprietary data is
impossible to source.
AI companies need domain-specific, proprietary, human-generated data at scale. Web-scraped data is commoditized, while unique datasets command real model improvements.
Finding and vetting sellers is time-consuming and legally hazardous. No trusted centralized marketplace existed for high-quality, legally clean training data. Until now.
Every year, thousands of startups shut down holding exactly the kind of data AI labs are desperate for — and almost none of it gets sold. It just gets deleted.
We built Dayda because that gap made no sense. On one side, founders winding down a company have no time, no legal team, and no idea who would even want their support logs, usage data, or internal documentation. On the other, AI teams are paying real money for exactly that kind of proprietary, human-generated data, because the open web has already been scraped down to the studs.
A marketplace only works here if it's managed, not self-serve. Buyers need to trust that a listing is legally clean before they'll pay for it, and sellers need someone who can turn a messy export into a defensible asset without becoming a legal project of their own. That's the entire reason Dayda vets every listing instead of letting anyone upload one.
What Dayda does.
Dayda sits between sellers and buyers, vetting, listing, brokering, and closing every transaction.
[Distressed Startups] → Dayda (vetting, listing, brokering) → [AI Buyers]
Dayda never holds permanent ownership of the data. It facilitates the transaction and earns a commission.
The managed
listing model.
Dayda does not allow open self-serve listing. Every dataset on the platform passes all six checkpoints below before it ever reaches a buyer.
- Step 01 of 6
Legal ownership verification
We trace the dataset back to the entity that collected it and confirm that entity's right to license it today, including cap table and IP-assignment checks where relevant.
- Step 02 of 6
Data provenance review
We read the terms the data was originally collected under: customer ToS, employment agreements, vendor contracts. If the chain of consent has a gap we can't close, the listing does not go live.
- Step 03 of 6
Quality spot-check
A sample of the corpus is reviewed for completeness, structure, and signal. Sparse, corrupted, or low-value data gets flagged before it ever reaches a buyer.
- Step 04 of 6
PII and compliance screening
Personal information is identified and scrubbed. If it can't be cleanly removed without destroying the data's value, the listing is rejected outright.
- Step 05 of 6
Standardized metadata documentation
Volume, format, time range, collection method, and licensing terms are documented in a consistent schema so buyers can evaluate a listing in minutes, not weeks.
- Step 06 of 6
Dayda quality score assigned
Every listing is scored on provenance strength, data quality, and completeness so buyers can compare listings at a glance before requesting a sample.
Who Dayda
is built for.
Two kinds of sellers, two kinds of buyers, one managed pipeline connecting them.
Startups winding down
Companies shutting down, pivoting, or getting acquihired often hold years of operational data with nowhere to go. We turn it into a final asset instead of a deletion job.
Startups with a side asset
Not every seller is closing. Some simply have a dataset — support logs, usage data, a labeled corpus — that's more valuable licensed out than sitting idle.
AI labs and model builders
Teams training or fine-tuning models that need domain-specific, human-generated data the open web doesn't have, with a documented right to use it.
Enterprises and research groups
Organizations that can execute a Data Purchase Agreement and need training or evaluation data with a clean, auditable chain of consent.
Why not just do
it yourself?
Selling data directly or scraping it from the open web both look free at first. Here's what they actually cost.
| Doing it yourself | Scraped data | Dayda | |
|---|---|---|---|
| Legal risk | On you — no standardized DPA or provenance review | High — undocumented consent, frequent takedown exposure | Managed — every listing carries a documented chain of consent |
| Time to find a match | Weeks to months of cold outreach | Immediate, but low trust and low usable quality | Sourced from a screened buyer or seller pool |
| Data quality signal | Unverified — buyer takes it on faith | Commoditized — every lab already has it | Quality-scored and sample-available under NDA |
| Upfront cost | Legal fees paid regardless of outcome | Free to scrape, expensive to defend | $0 — commission only on a closed deal |
What makes
Dayda work.
Legal rigor is the product
Every transaction at Dayda is clean, documented, and legally enforceable. We don't cut corners on provenance or consent. That's what makes us trusted.
Quality over volume
We list fewer datasets than a self-serve platform would. Every listing passes a vetting process. Buyers trust that when something is on Dayda, it's real.
Value for both sides
Sellers get value from an asset that would otherwise disappear. Buyers get data they can't find or collect elsewhere. Dayda earns only when both sides win.
Speed without shortcuts
Wind-downs move fast and infrastructure gets switched off quickly. Intake starts in minutes and vetting begins immediately, but no step in the legal review gets skipped to save time.
Read the paperwork
before you sign it.
Every policy governing a Dayda transaction is public. Nothing about how we handle data is behind a sales call.
Ready to work
with Dayda?
Whether you have data to sell or training data to buy, Dayda makes it clean, legal, and simple.