EvalQA
EvalQA is an evaluation platform that measures AI agent performance, SaaS feature quality, and knowledge work outputs by combining trained human evaluators with automated ML metrics, providing deployment clearance and trust evaluation for autonomous AI systems before they reach users.
At a Glance
AI Tools by EvalQA
(1)
EvalQA
AI Agent Evaluation Platform
Discussions
No discussions yet
Be the first to start a discussion about EvalQA
Market Position
EvalQA positions itself as a hybrid human-plus-automation AI evaluation platform, differentiating from purely automated eval tooling by pairing an ML pipeline (LLM-as-Judge, hallucination detection, smart routing, semantic coherence, calibration) with a certified network of human evaluators (the 'Eval Army'). It aims to replace multiple separate eval tools with one unified platform covering AI agents, SaaS features, and content/knowledge work.
Key Competitors
Leadership
Founders
Vishal Kumar
Founder and CEO of TheWorkCompany (also known for TAO.ai), the parent initiative behind EvalQA, focused on AI-powered infrastructure for the future of work.
Founding Story
EvalQA was launched as an initiative of TheWorkCompany, whose broader mission is to build infrastructure for how work actually happens in the AI age. The platform grew out of the need to evaluate AI agents, SaaS copilots, and AI-generated knowledge work with a hybrid pipeline that routes each task to the optimal mix of automated metrics and trained human judgment.
Business Model
Pricing Tiers
Self-serve evaluation platform with custom-scoped engagements and white-glove onboarding. Specific pricing not retrievable from public site.
Gamified certification program with Trainee, Expert, and Specialist tiers plus L3 Eval Specialist / CAEE certification; skill-based compensation that scales with certification level. Specific pricing not retrievable from public site.