Production AI for the Enterprise

AI that runs.
Not just pilots.

Quantryx engineers, deploys, and operates production AI and MLOps infrastructure for enterprises that can't afford to fail. From assessment to managed operations — we make AI real.

%83%
of AI projects fail in production
$B758$B
AI infrastructure market by 2029
/7247/
managed AI operations
+100+
engineers across Google & Meta
The Production Gap

Your AI is stuck
in pilot purgatory.

83%
of enterprise AI models never make it to production. They die in proof-of-concept.
91%
of mid-market companies use GenAI — yet most can't reliably run it at scale.
$2T
global AI spend in 2026. The gap between investment and production value is the opportunity.
What We Do

Four ways we
make AI real.

From understanding your readiness to running your models in production — Quantryx covers the full lifecycle of enterprise AI operationalization.

01 / ENTRY POINT

AI Readiness Assessment

A structured evaluation of your data infrastructure, team capabilities, and organizational readiness. We map your path from current state to production AI — with zero ambiguity.

$35K – $75K· Fixed fee engagement
02 / TECHNICAL CORE

MLOps Engineering

End-to-end MLOps pipeline design and implementation. CI/CD for models, feature stores, monitoring, drift detection, and automated retraining — built to enterprise standards.

$250K – $1.5M· Project-based
03 / INFRASTRUCTURE

AI Infrastructure Design & Build

Purpose-built on-prem and hybrid AI infrastructure. GPU cluster architecture, data center design, Kubernetes-based serving platforms, and secure enterprise AI environments.

$300K – $2M· Project-based
04 / RECURRING REVENUE

Managed AI Operations

24/7 monitoring, incident response, model performance management, and continuous optimization of your production AI environment. Your AI runs — we make sure it keeps running.

$15K – $80K· Per month
Who We Serve

Built for industries
where AI must work.

We focus on high-stakes verticals where AI failure has real consequences — and where production-grade MLOps creates measurable competitive advantage.

🤖

AI-Native Tech

SaaS companies scaling AI features to production. ML platform modernization and LLM operationalization.

Priority A+
🏥

Healthcare Systems

Regional health networks deploying clinical AI at scale. HIPAA-compliant MLOps and secure AI infrastructure.

Priority A
🏦

Financial Services

Mid-size banks and credit unions operationalizing risk, fraud, and decisioning models with full auditability.

Priority A
🛡️

Insurance

Underwriting and claims AI in production. Model governance, explainability, and regulatory compliance built in.

Priority A–
🧬

Life Sciences

Drug discovery pipelines, clinical trial optimization, and pharma AI infrastructure for validated environments.

Priority B+

Energy & Utilities

Predictive maintenance, grid optimization, and operational AI for utilities demanding five-nines reliability.

Priority B
About Quantryx

We've been in the
engine room.

Quantryx was built by practitioners — not consultants. With deep enterprise IT experience and engineers embedded at Google and Meta, we understand what it takes to run AI at scale in the real world.

We operate as a specialized DBA of Raindrops Technology Corporation, a California-based IT services firm with 100+ engineers serving Fortune 500 clients in healthcare, financial services, and manufacturing. Quantryx is our focused answer to the enterprise AI operationalization gap.

Our Principles
⚙️
Production First
We don't do demos. Every engagement is oriented toward running AI in the real world, at scale, under real conditions.
🔒
Security & Sovereignty
Your models, your data, your infrastructure. We architect for control — not cloud dependency.
📐
Engineering Precision
Built by engineers who've shipped AI at hyperscale. Our standards are set by Google and Meta — not slide decks.
🤝
Long-Term Partnership
We measure success in months and years. Managed AI operations means we're accountable to your outcomes — always.
Ready to Move?

Your AI deserves
to run in production.

Start with an AI Readiness Assessment. In 30 days, you'll know exactly what it takes to get your AI from pilot to production — and have a partner to take you there.