Making AI systems trustworthy
Trust intelligence for the enterprise, built on peer-reviewed research and production-tested open source.
Research-backed products for production AI
The science of trust decisions
Trust decisions are everywhere—approving a transaction, verifying an AI agent's output, validating a network configuration. These decisions share common structure, yet the science behind them is underdeveloped. Rotavision brings that science to production.
Research foundation
Every product is built on peer-reviewed research. We don't just claim—we prove. Our methods are published, verified, and open for inspection.
Production focus
Research that stays in papers doesn't help anyone. We take proven methods and make them work at enterprise scale.
Open source roots
Our products are built on production-tested open source from Rotalabs. Verify our methods, contribute improvements, build on our work.
"Every Rotavision product is built on peer-reviewed research and production-tested open source."
Two divisions, one mission
Rota, Inc. operates two divisions with complementary focus areas: open research and commercial products.
Rotalabs
Open research and open source. Peer-reviewed papers and production-tested libraries. Our research division publishes methods, releases code, and advances the science of AI trust.
rotalabs.ai →Rotavision
Commercial products and services. Enterprise-grade trust intelligence for production AI. We take research from Rotalabs and make it work at scale.
rotavision.comRotavision is a division of Rota, Inc.
Built by engineers who've been there
Founded by engineers with 15+ years building cloud infrastructure and financial systems at Google Cloud and Microsoft. We understand enterprise requirements because we've lived them.
Cloud infrastructure
Google Cloud professional services experience deploying mission-critical systems at Fortune 500 companies.
Financial services
Deep experience with regulatory requirements, compliance, and high-stakes decision systems.
Research background
Academic foundations in machine learning, systems engineering, and trust systems.