We Built the Infrastructure AI Teams Were Missing.
NovaFlow AI was founded on a simple observation: as AI models became more powerful, the tools to evaluate them reliably didn't keep up. Teams were shipping models based on surface-level metrics while hallucinations, edge-case failures, and regression bugs slipped through into production.
NovaFlow AI exists to close that gap. We build the rigorous, expert-designed benchmarks and quality assurance systems that give AI teams genuine confidence in what they're shipping — not just a passing score on a leaderboard.
Ruiyu Huang
Ruiyu Huang is an AI quality engineering specialist with deep expertise in software QA, LLM evaluation, and containerized test environment architecture. She leads all technical operations at NovaFlow AI, personally designing and delivering benchmarking tasks and QA systems for two of the leading AI infrastructure organizations in the United States.
Our Mission
"To bridge the gap between theoretical AI capabilities and real-world production reliability — one deterministic test suite at a time."
Our Values
The principles that guide every engagement
Precision
Every deliverable is held to binary correctness standards. There is no partial credit in production AI.
Reproducibility
All testing environments are fully containerized and deterministically verifiable — same input, same output, every time.
Integrity
Client data and model outputs are handled under strict confidentiality. Trust is not assumed; it is earned through every delivery.
Depth over Volume
We do not optimize for throughput at the expense of quality. A <1% rejection rate is the benchmark we hold ourselves to.
Ready to work with us?
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