Make expert judgment measurable, trustworthy, and scalable for AI teams.
We believe reliable AI requires more than capable models. It requires people who understand the work, standards that define success, and expert judgment that can be measured and improved.
Our mission is to make that human intelligence accessible to AI teams through task-specific training, rigorous evaluation, and demonstrated capability.
What we believe
Four principles guide how we work with AI teams and with experts.
Proof over claims
Credentials tell part of a person's story. Demonstrated performance tells us what they can do. We assess specialists against real tasks and clearly defined standards, giving AI teams evidence of capability rather than relying on résumés alone.Evaluation over simple answers
A useful evaluation does more than label an output as right or wrong. It identifies what failed, explains why, and provides actionable feedback against the client's criteria. We aim to turn expert judgment into meaningful signals that help AI systems improve.Your standards. Your intellectual property.
Every AI team has its own requirements, quality standards, and edge cases. We build evaluations around those requirements and respect the ownership and agreed usage rights of the resulting rubrics, datasets, and written rationales.Fair, transparent opportunities for experts
Specialists deserve clear instructions, consistent assessment criteria, constructive feedback, and opportunities to qualify for meaningful work. Our assessments are designed to identify and develop capability, not to create unnecessary barriers.
Ready to try SoReliable?
Tell us what you are building. Any team, any project, any size. We find the specialists, train them on your standard, and evaluate the work against what your project actually needs.