Ship AI features fast. Trust that they actually work.
You’re building with LLMs, agents, and AI co-pilots. Your QE needs to keep up. Nexaq gives AI-first startups the quality engineering foundation to move fast without breaking production – no full-time QE hire required.
Pain Point
The Challenge You're Facing
You’re moving at startup speed. Developers use Copilot and Cursor to ship faster than ever. But your QE is still manual scripts, gut feel, and hoping nothing breaks in the demo. One bad release tanks your raise, your launch, or your first enterprise client conversation. You know QE matters – you just haven’t had the bandwidth or the right partner.
What NexaQ Delivers
AI-Native QE From Day One
- AI Application & Autonomous Systems Assurance: LLM output validation, hallucination detection, agent behaviour testing, and prompt regression
- IDE Skills for your dev team - auto-generate tests from code context inside Cursor or Copilot
- QE Advisory: maturity assessment and ADLC transformation roadmap tailored for AI-first teams
- Automation foundations built right the first time - no rework at Series B
- Flexible engagement - month-to-month, scales as you grow
Key Solutions
Your AI-Native QE Stack
AI Validation
Test your LLM features, RAG pipelines, and agent behavior before they reach users. We validate factuality, coherence, hallucination, and goal completion.
IDE-Embedded Testing
QE skills that live inside your developer tools – Cursor, GitHub Copilot, Claude Code. Tests generated as code is written, not after.
Automation Setup
We build your test automation foundations correctly from the start. Frameworks, coverage strategy, CI/CD integration – production-grade from week one.
CTO, Series A SaaS - Miami, FL
“I’ve come back to use Nexaq across three different startups. They get up to speed fast, find the bugs that matter, and just become part of the team.”
48hrs
Week 1
Zero
Zero
Ready To Work Together?
Get your first AI feature tested - for free.
Book a free 30-minute session. We’ll review one AI feature or agent flow, identify the top three quality risks, and show you what AI-native QE looks like for your stack. No commitment required.
