"That's not what I asked for."
If you've ever said this to an AI agent, you've experienced the core problem we're solving.

AI agents today don't know what they don't know. They're trained to predict and assume - not to pause and clarify. The result? Confident responses that miss the mark, wasted cycles, eroded trust in AI reliability, and a "Guessing Tax" that drains 30-40% of your LLM budget on misunderstood queries.

You wouldn't hire a lawyer who guesses. You wouldn't trust a doctor who assumes. In any high-stakes profession, asking the right question is a sign of expertise - not weakness.

So why are we building AI agents that guess?

Qova is the world's first decision intelligence layer for AI agents.
We made our first product, ACR (Adaptive Context Resolution), to solve a single most neglected problem in AI workflows: deciding when clarification is necessary and how much is enough.

RAG revolutionized AI by adding retrieval before generation. ACR revolutionizes reliability by adding clarification before inference. We're the next layer in the stack.

The impact: 10x efficiency gains. 30-40% cost reduction. Dramatically reduced risk of "confidently wrong" responses. AI agents your users actually trust.
Built on peer-reviewed research accepted at top-tier NLP/ML conferences. Model-agnostic - works with GPT-4, Claude, Gemini, and your fine-tuned models.

Who we are:
Builders and AI researchers who got frustrated by the same problem you did, and discovered a fundamental gap in how LLMs are trained versus how they're deployed in agents. A gap that better prompts and bigger models can’t fix. ACR is our fundamental solution.

And we don't stop here. We're building toward a future where every person has an AI decision layer that truly thinks like them. This is step one. 🚀

Qova Labs

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Qova Labs

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