Private research,
licensed learning.
VERITIR is the safe intermediary between university research labs and foundation models—so models can learn from high-value research work without labs relinquishing custody, IP, or publication freedom.
- Clean-room collaboration (not public release)
- Permitted-use controls + boundary-enforced execution
- Audit logs & provenance for confidence and continuity
Not a data dump. Not a labeling shop.
Foundation models need domain-specific, high-quality data. University researchers generate it—but handing it over would be a one-way extractive relationship. VERITIR exists to bridge that gap.
- ×Not 'make it public so models can scrape it'
- ×Not commodity data labeling
- ×Not a one-time data sale
- ×Not blanket training rights
Turn internal research work into permitted-use training—safely.
Unpublished research artifacts
Drafts, intermediate results, negative results, lab notes, datasets, protocols, and code—kept private by default.
Clean-room licensing interface
Models train and evaluate through a governed environment with explicit permitted use, controlled execution, and constrained outputs.
Outcome supervision (optional)
When human feedback is needed, it's focused on outcomes and evaluation—not turning labs into labeling factories.
How it works
Select
Choose research assets that contribute to papers, published results, or ongoing work.
Set boundaries
Define permitted use, IP constraints, retention, and output controls.
Execute safely
Run training/evals inside the lab boundary or a controlled clean room.
Prove & iterate
Generate audit trails and provenance; optionally run outcome-based evaluation loops.
For labs: collaborate without compromising what makes your work valuable.
- Keep custody: your internal work stays non-public by default.
- Protect IP and publication freedom: collaborate without silent reuse.
- Reduce friction: a repeatable path through governance and compliance review.
- Support de-identification: help remove PII/PHI when required.
For model partners: access high-value domains with less risk and less negotiation.
- Clear permitted-use terms for sensitive research work
- Boundary-controlled execution and controlled 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 center.
We're onboarding a small set of research labs and model partners.