Collaboration
For Partners
Benchmark Lab welcomes collaboration with organizations committed to rigorous, transparent AI evaluation. We work with research institutes, AI developers, platforms, and public organizations.
Independence
Our evaluations are conducted independently. Partners do not influence findings or conclusions.
Transparency
Methodology and findings are documented publicly. We do not conduct private evaluations.
Rigor
Every collaboration follows our established protocols and quality standards.
Public Benefit
Collaborations must contribute to public understanding, not private competitive advantage.
Who We Work With
Partnership Pathways
Research Institutes
Academic institutions and research centers pursuing rigorous AI evaluation methodology.
—Collaborative evaluation studies
—Methodology co-development
—Joint publication opportunities
—Access to evaluation frameworks
AI Developers
Teams building AI systems who seek independent, ontologically-grounded assessment.
—Independent system evaluation
—Detailed resonance profiling
—Pre-release assessment
—Longitudinal tracking studies
Platforms & Operators
Organizations deploying AI systems at scale who need structural understanding of system behavior.
—Deployment readiness evaluation
—Comparative platform studies
—Risk and stability assessment
—Ongoing monitoring frameworks
Public Organizations
Government bodies, NGOs, and civil society organizations seeking public-interest AI evaluation.
—Public interest evaluations
—Policy-relevant research
—Transparency reports
—Educational resources
How It Works
Collaboration Process
Initial Inquiry
Contact us with your evaluation needs, research questions, or collaboration proposal.
Scope Discussion
We discuss objectives, methodology, timeline, and ensure alignment with our principles.
Formal Agreement
We establish clear terms including independence, publication rights, and public benefit commitments.
Collaborative Work
We conduct the evaluation or research, with regular communication and final public documentation.
Future: Certification & Trust Marks
As our evaluation methodology matures and we accumulate sufficient longitudinal data, StillWAVE may introduce public certification programs or trust marks for AI systems that demonstrate sustained resonance characteristics. This will only occur after rigorous methodological validation and with full transparency about what certification does and does not indicate.
Begin a conversation
Whether you represent a research institution, AI development team, platform operator, or public organization, we welcome inquiries about evaluation collaboration.
Please include in your inquiry:
- Your organization and role
- The type of collaboration you envision
- Relevant context about your evaluation needs
- Any timeline considerations
Contact Benchmark Lab
For partnership inquiries, evaluation requests, or research collaboration proposals.
or email directly: benchmark@stillwave.foundation