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variA/Bly is the deterministic evaluation and decision platform for production AI. Public benchmark: catches 94% of hallucinations on opensource RGB DataSet vs RAGAS at 62% — verifiable with an OpenAI key at github.com/varia-bly/variably-benchmark. Benchmark whitepaper - https://www.variably.tech/benchmarks Most teams evaluate AI with LLM-as-judge - non-deterministic scoring that drifts run-to-run and can't be defended under audit. variA/Bly replaces that with deterministic scoring: per-claim grounding, numeric verification, byte-for-byte reproducible results. What teams do with variA/Bly: • Score AI outputs deterministically - same input, same score, every run • Run experiments across prompts, models, and agent designs with reliable comparison signal • Detect regressions before deployment, not after customer complaints • Defend specific AI decisions under compliance and audit review • Ship improvements with measurable evidence, not vibes The shift in 30 seconds: Change AI ↓ Score deterministically ↓ Compare variants reliably ↓ Detect regressions ↓ Ship with confidence From "it sounds good" → "it measurably is good." From LLM-judge drift → byte-for-byte reproducibility. From shipping by intuition → shipping by evidence. Built for AI teams shipping RAG, agents, and copilots in production. Measured. Compared. Shipped.

Website https://www.variably.tech
Employees 1 (1 on RocketReach)
Founded 2025
Industry Software Development

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