KERVALT / COLLABORATIONS
Open science through global collaboration
Kervalt partners with universities, research institutes, and industry labs to advance connected reasoning, data-resilient AI, and responsible deployment.
01 / PROGRAMS
How we collaborate
Structured partnership paths for academic and institutional researchers.
Research grants
Funding and compute credits for independent projects on connected reasoning, trustworthy sources, data-resilient infrastructure, or AI safety.
Joint research programs
Multi-year collaborations with shared datasets, co-authored publications, and joint benchmark releases hosted on Kervalt infrastructure.
Open-science initiatives
Public datasets, evaluation suites, and model cards published under open licenses with reproducible methodology.
02 / THEMES
Active research themes
Areas where partner work makes the biggest difference.
CONNECTED REASONING
Understanding connections across documents
Joint projects study how search, connections, and records combine to solve complex reasoning tasks in law, finance, and science.
DATA-RESILIENT AI
Infrastructure for data-resilient research
Research into running models in-house, private testing, and location-aware data governance on European servers.
RESPONSIBLE AI
Fairness, safety, and alignment
Collaborative work on test datasets, policy design, and fairness metrics for systems that retrieve and generate answers.
EVALUATION
Benchmarks for real-world tasks
Partners contribute domain-specific tests that expose the gap between leaderboard scores and real-world usefulness.
03 / SHARED PROGRESS
From isolated labs to shared progress
Kervalt provides compute, curated datasets, and the full platform. Partners contribute methodology, peer review, and independent verification.
BEFORE
Research stays siloed
Academic teams lack access to production-grade systems and real-world datasets. Industry teams lack peer review and reproducibility norms. Progress is slower than it should be.
AFTER
Open, reproducible collaboration
Kervalt provides compute, curated datasets, and the full platform. Partners contribute methodology, peer review, and independent verification. Results are published and reproducible.
04 / DATA SOVEREIGNTY
Collaboration that protects your data
Sharing sensitive collections with outside labs risks exposure, memorization, and loss of institutional control. Kervalt protects contributor interests.
PICTURE
Data leak risk
Sharing sensitive collections with outside labs risks exposure, memorization, and loss of institutional control.
PROMISE
Private research spaces
Partners access Kervalt compute and tools within isolated EU environments with strict access controls.
PROVE
Published governance terms
Data-use agreements, audit logs, and publication review processes protect contributor interests.
PUSH
Apply now
Submit a proposal for funding, compute, or a joint research program with our team.
NEXT STEP
Collaborate with Kervalt Research
Apply for a grant, propose a joint program, or partner on an open-science initiative.