Designing, building, and operating production AI since 2017 — AI is the core of what we do, not a practice we bolted on. We help teams of every size turn AI from a demo into dependable, governed products.
Five capabilities, one team. Tap any to see what we build — each is its own deep-dive.
QCerris has built production AI since 2017 and supported AI-driven businesses for years — we're not a traditional IT firm that bolted on an AI practice.
We're founders and co-founders of commercial AI products, including CodeMerlin.ai, our AI-native engineering governance platform. Our mission: industrialize AI and make it available at scale — reliably, securely, and with continuous evaluation that earns your users' trust.
Real engineering across deep learning, NLP, and recommendation systems — long before the LLM wave.
We don't just consult — we've built and launched our own commercial AI platforms.
A weekly AI research rhythm keeps our patterns current in the fastest-moving field in tech.
AI delivered on a certified information-security foundation, ready for regulated industries.
From first idea to governed production — one team across the whole AI lifecycle.
Custom LLM applications — copilots, document intelligence, and generative experiences.
Single- and multi-agent systems that plan, call tools, and act under supervision.
Grounding models in your own data for accurate, current, citable answers.
Pipelines, serving, evaluation, and monitoring that keep AI reliable in production.
Adversarial testing, evaluation, and guardrails for safe, compliant AI.
Finding the highest-value, lowest-risk AI opportunities and a realistic roadmap.
The right engagement for where you are — and the value we commit to at each stage.
From idea to a fundable AI MVP fast, without cutting the corners that matter later.
Production-hardening, MLOps, and evaluation so your AI scales with users and data.
Governed, secure, compliant AI that fits your existing risk and security posture.
Reusable patterns and senior engineers that get you to a working system sooner.
Right-sized models and infra, with evaluation that prevents expensive mistakes.
Evaluation, guardrails, and governance so users — and auditors — can rely on the output.
Deep, current expertise across the modern AI stack.
Platform-agnostic — we choose the stack that fits your latency, cost, data-residency, and compliance needs.
Find the highest-value, lowest-risk AI opportunity and define success metrics.
Build a working proof of concept fast to validate value and feasibility.
Measure quality, safety, and cost with structured evals before scaling.
Harden, secure, and deploy with MLOps so it's reliable for real users.
Monitor, evaluate, and iterate continuously as usage and data grow.
Consultation is free. Tell us the outcome you want — we'll map the path from idea to production.
Talk to our AI team