AI Quality Engineering — Built for Frontier Models

The Quality Layer Behind Frontier AI.

NovaFlow AI builds the rigorous benchmarks, test environments, and evaluation infrastructure that enterprise AI teams depend on to ship reliable models at scale.

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<1%

Task Rejection Rate

Enterprise AI Clients

12+

Programming Languages

terminal — benchmark-eval-suite

$ docker run --rm novaflow/benchmark-runner eval --task agentic-se-v2

> Initializing isolated evaluation environment...

> Loading oracle solution + verification suite...

→ Running agent against 48 sub-tasks across 6 domains

> Domain: Software Engineering .............. PASS (12/12)

> Domain: Cybersecurity ..................... PASS (8/8)

> Domain: Data Science ...................... PASS (10/10)

✓ Evaluation complete — Score: 98.4% | Verified by NovaFlow AI

What We Do

Expert AI Quality Engineering, End to End

Three core capabilities — built around one principle: if it can't be deterministically verified, it doesn't ship.

🔬

AI Benchmarking

Design rigorous, multi-step agentic evaluation tasks that expose the true limits of frontier LLMs in real engineering environments.

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✅

Software Quality Assurance

Engineer deterministic test suites and conduct expert peer review of AI-generated code — ensuring correctness, not just completion.

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🐳

Environment Engineering

Build fully reproducible, containerized testing sandboxes that isolate agent behavior and guarantee consistent, tamper-proof evaluation results.

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How It Works

From Requirement to Verified Delivery

A structured three-phase process that guarantees production-grade quality at every step.

Step 01

Scope & Design

We analyze client requirements and design technically rigorous evaluation tasks, benchmarks, or QA workflows tailored to the target AI system.

Step 02

Build & Verify

We engineer the complete solution: test environments, oracle solutions, verification scripts, and CI pipeline integrations — validated end-to-end.

Step 03

Deliver & Iterate

We deliver production-ready evaluation assets, provide peer review, and iterate based on feedback — maintaining a <1% rejection rate across all deliverables.

<1%rejection rate maintained across all client deliverables

Ready to pressure-test your AI? Let's build the infrastructure that proves it works.

Partner with NovaFlow AI for rigorous benchmarks, deterministic QA systems, and evaluation infrastructure your team can trust.

team@nova-flowai.com · Response within 1–2 business days