Transform your research artifacts and datasets into funding.
VERITIR helps university labs package high-value research datasets into governed assets that enable model evaluation, benchmarking, and selective licensing—generating revenue while preserving publication freedom and compliance.
- Evaluation benchmarks & leaderboards (not data dumps)
- Governed access with permitted-use controls
- Non-dilutive revenue for labs—without slowing publication
The most valuable part of your research never makes it into the patent or the paper.
Negative results. Protocol variations. Calibration data. Instrument noise characteristics. Labeling decisions buried in spreadsheets. In modern research—biomed, materials, quantum, physics—the signal that matters most lives in artifacts that patents don't capture and publications don't include.
VERITIR turns these shadow assets into governed, revenue-generating data products.
Not a data dump. Not a labeling shop.
- × Not 'make it public so models can scrape it'
- × Not commodity data labeling
- × Not a one-time data sale
- × Not blanket model access
Turn research artifacts into governed, licensable data products.
Unpublished research artifacts
Drafts, intermediate results, negative results, lab notes, datasets, protocols, and code—kept private by default.
Clean-room licensing interface
Models evaluate and benchmark through a governed environment with explicit permitted use, controlled execution, and constrained outputs. Raw data never leaves.
Outcome supervision (optional)
When human feedback is needed, it's focused on outcomes and evaluation—not turning labs into labeling factories.
How it works
Identify
Surface the high-value research artifacts that sit outside patents and papers: datasets with metadata, outcome labels, negative results, protocols.
Package
Structure raw lab outputs into governed data products—benchmarks, evaluation sets, fine-tuning packs—with clear rights, provenance, and permitted-use terms.
Connect
Match packaged assets to qualified buyers: AI labs seeking domain evaluation, pharma needing model validation, device companies building specialized models.
Earn & iterate
Generate recurring revenue through benchmark subscriptions, licensed access, and sponsored evaluations. Audit trails prove compliance at every step.
For labs: new revenue from the research you've already done.
Your lab generates datasets, protocols, and outcome data that are uniquely valuable—hard to recreate, expensive to reproduce, and rich with implicit labels that models need. VERITIR helps you monetize these assets without disrupting your work.
- Non-dilutive revenue: earn from benchmarks, licensed evaluations, and fine-tuning packs—no equity, no grants, no overhead.
- Keep custody: your internal work stays non-public by default. Data never leaves without explicit consent.
- Protect IP and publication freedom: collaborate without silent reuse or surprise downstream claims.
- Reduce friction: a repeatable path through governance, compliance, and tech transfer review.
- Support de-identification: help remove PII/PHI when required.
- Academic alignment: benchmarks earn citations, leaderboards earn visibility, evaluations earn prestige.
For model partners: domain-specific evaluation and benchmarking data you can't get elsewhere.
University labs hold the gold-standard datasets in biomed, materials science, quantum, and beyond. VERITIR gives you governed access to domain-specific evaluation, benchmarking, and fine-tuning assets—without the 18-month negotiation cycle.
- Evaluation benchmarks: prove your model works on gold-standard research data
- Fine-tuning packs: curated, labeled data for narrow domain tasks under clear terms
- Clear permitted-use terms for sensitive research work
- Boundary-controlled execution and constrained outputs
- Standard reporting: what ran, when, and under which permissions
Designed to prevent extractive data deals.
Most collaborations today either move too fast (and leak risk) or move too slow (and never ship). VERITIR is built around explicit permissions, controlled execution, and audit-grade evidence—so both sides can collaborate without surprises.
Private by default
Internal research artifacts are not made public as a condition of collaboration.
Permitted-use first
Training occurs only within explicit scope and purpose.
Boundary-controlled execution
In-boundary or clean room; outputs constrained.
Audit & provenance
Access logs and lineage to support review, continuity, and confidence.
De-identification support
Where needed, we support PII/PHI removal workflows.
Bring VERITIR to your research institution.
We're working with a small set of research labs and model partners to build the first governed data-asset marketplace for university research.
Reach out to start a conversation.
[email protected]