Building the intelligence layer for every LLM application
We're on a mission to make AI applications more reliable, efficient, and intelligent. From solo developers to Fortune 500 companies, we power the infrastructure behind the AI revolution.
Why we built Metriqual
Every AI application faces the same challenges: unpredictable costs, quality issues, performance bottlenecks, and the complexity of managing multiple LLM providers.
Existing solutions were either too simple (basic logging) or too complex (enterprise ML platforms). Developers needed something in between—powerful yet approachable.
Metriqual is the intelligence layer that sits between your application and LLM providers. We handle the complexity so you can focus on building great products.
Explore our platformOur values drive everything we do
These principles guide our decisions, from product features to company culture.
Intelligence First
We believe AI applications deserve intelligent infrastructure. Not just monitoring, but active optimization and improvement.
Developer Obsessed
Every feature starts with developer experience. Clean APIs, great docs, and tools that get out of your way.
Speed Matters
Sub-50ms latency. 2-minute integration. Real-time everything. Because waiting kills momentum.
Trust & Transparency
Your data is yours. Clear pricing. No surprises. Security and privacy by design, not afterthought.
Our journey so far
Built by AI infrastructure experts
Our team has built and scaled AI systems at the world's leading tech companies.
Alex Chen
Previously ML infrastructure at Google. Built systems processing billions of requests.
Sarah Johnson
Former Staff Engineer at OpenAI. Expert in LLM optimization and deployment.
Marcus Williams
Led observability at Datadog. Passionate about developer tools and performance.
Emily Zhang
Product leader from Stripe. Focused on making complex tools simple.
Join us in building the future of AI
Whether you're building your first AI app or scaling to millions of users, we're here to help you succeed.