Training data you can't scrapecleared for license.
Domain-specific datasets from startups winding down or moving on. Dayda checks the provenance, documents the terms, and gets the data ready for a real buyer.
Every tool your team runs on is a dataset.
Dayda sources training data from the systems companies already operate in — support platforms, code repositories, project trackers, design tools, and meeting recordings — then documents the provenance and consent record before it reaches a buyer.
Customer Support & Sales
- Support ticket histories from Intercom, Zendesk, and HubSpot
- Recorded sales calls and AI-generated call transcripts
Engineering & Technical Assets
- Commit history and code review threads from GitHub and GitLab
- Internal wikis, API specs, and technical documentation
- Closed and open issue-tracking histories
Product & Workflow Operations
- Sprint and project histories from Jira, Linear, Asana, and Trello
- PRDs, roadmaps, and competitive research
- Design files and component libraries from Figma
Multimodal Recordings
- Meeting recordings and AI transcripts from Zoom, Meet, and Teams
- Recorded product walkthroughs and demos
Product & Usage Analytics
- Anonymized clickstream and session data
- Feature adoption and funnel analytics
Organizational Metadata
- Aggregated meeting cadence and collaboration patterns
- Team and department structure over time
No one can scrape how your business actually works.
Real workflows, from real companies, are worth more precisely because they're real. They can't be generated, and they can't be found anywhere else. That's what makes them irreplaceable, and why the market for them is only getting more competitive.
It happened, so it can't be faked
The exact way a real support team resolves a ticket or a real underwriter reads a claim only exists because someone lived it. Synthetic data copies the shape of that workflow, not the substance, and models trained on it drift a little further from reality with every pass.
Read moreThe open web is tapped out
Common Crawl, Wikipedia, GitHub, every forum worth scraping: the major labs have already trained on it. The next gain in accuracy doesn't come from crawling harder.
Read moreThis data has real, measurable value
Every support thread, sales call, and workflow log is a record of how your business actually runs. That's exactly what AI teams pay to license, because it's the one input a competitor can't scrape, generate, or buy off the shelf.
Read moreManaged on both sides of the table.
- 1
Submit intake
Ten minutes to describe what you're holding.
- 2
Stay anonymous
Your identity is private until an NDA is signed.
- 3
Approve the deal
Commission-only, so we earn nothing until you do.
- 1
Review the dossier
Provenance, licensing terms, quality, manifest.
- 2
NDA and sample
Benchmark 1 to 5% of the corpus before committing.
- 3
Close and deliver
We draft the DPA and deliver over encrypted transfer.
Your data is worth more than you think.
The records, workflows, and decisions your organization has accumulated can be valuable long after they stop being part of your day-to-day operations. We help you understand what is there, what it can support, and what it may be worth.
List your dataCustomer support transcripts
Non-exclusive
$20K–$80K
Domain-specific text corpus
Exclusive
$50K–$200K
RLHF preference data
Per 1M pairs
$30K–$150K
Behavioral & clickstream data
Anonymized
$15K–$60K
Ranges vary by volume, quality, domain, exclusivity, and how clean the consent record is. Dayda prices each dataset individually.
Domains we cover
Legal & Contracts
Commercial agreements and clause-level annotations from legal-tech platforms.
Contracts, clauses, NDAs
Healthcare & Clinical
De-identified clinical notes, EHR exports, and patient-provider transcripts.
Notes, records, outcomes
Finance & Banking
Fraud signals, support conversations, and structured transaction data.
Risk, support, transactions
Sales & Support
B2B sales calls, support tickets, and CRM interaction logs at scale.
Calls, tickets, replies
HR & Recruiting
Resume corpora, interview transcripts, and hiring outcome data.
Resumes, interviews, hiring
E-commerce & Retail
Product reviews, search queries, purchase funnels, and recommendation signals.
Reviews, search, purchase
Insurance
Claims narratives, settlement outcomes, and fraud-flag annotations.
Claims, adjuster notes
Tech & Code
Code review comments, diffs, and developer-tooling fine-tuning data.
Reviews, diffs, commits
Other
Specialized workflows and uncommon records that do not fit a standard taxonomy.
Niche operational data
Describe your own.
Any dataset. One conversation. Tell us what your business has collected.
Start a conversationFAQ
Start with the short version. Open any question for the details your team needs before a deal.
Ask us directlyDayda does the work.
You approve the deal.
Legal clarity, vetted listings, and one counterparty managing both sides of the transaction.