Your AI Works in Pilot.
We Make It Work in Production.
Models are 20% of the challenge. Integration, data quality, governance, and
observability are the other 80%. We engineer that 80%.
25 Years
Production Software Systems
15 Years
Production Data Platforms
10 Years
Production AI / ML
1,000 +
Systems Delivered
Trusted by Engineering Teams Across Industries
The production AI engineering team behind pilots that become daily operations, in industries where getting it wrong is not an option. In 8 weeks, you’ll have AI running in your environment. Not a demo. Your actual systems.
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Microsoft Data & AI Solution Partner
As a Microsoft Data & AI Solution Partner for over 10 years, we build production AI systems natively on Azure, using the Well-Architected and Cloud Adoption Frameworks your IT team already trusts.
Every deployment runs in your own Azure tenant, with security and governance designed in from day one. No rip-and-replace. No shadow infrastructure. Proven architectures refined across 1,000+ enterprise systems, working inside the stack you already have.
The Production Gap
But when it came time to integrate with your actual systems, connect to production data, put governance around it, and hand it to real users, it stalled. The vendor pointed at your infrastructure. Your team pointed at the vendor. And the pilot sits in a notebook, generating zero business value.
You’re not alone. 80–95% of AI pilots never reach production (IDC, MIT Sloan, RAND, Gartner). Not because the models fail. Because nobody engineered the production systems around them.
What We Engineer
Producion AI Engineering
From Pilot to Daily Operations
Your model works in a notebook. Now make it work every day, on real data, under real conditions, with real people depending on it. We take AI pilots and deploy them into production: agent orchestration, MLOps, observability, governance, and monitoring from day one.
Production Data Platforms
Data That's Ready for AI
Your AI is only as good as the data feeding it. Legacy warehouses, fragmented pipelines, inconsistent governance. None of it survives a production AI workload. We build and modernize the data infrastructure that makes AI possible, not just plausible.
Production Software Systems
Data That's Ready for AI
Your AI is only as good as the data feeding it. Legacy warehouses, fragmented pipelines, inconsistent governance. None of it survives a production AI workload. We build and modernize the data infrastructure that makes AI possible, not just plausible.
AI Delivery Squads
Need ongoing capacity? Our engineers embed in your organization and ship production AI continuously. Not a consulting rotation. A dedicated team aligned to your mission, operating inside your systems.
How We Work
Most AI initiatives stall because there’s no clear path from pilot to production. We’ve engineered that path, and we’ve run it dozens of times.
Assess
2-3 weeks
We assess your systems, data quality, governance gaps, and infrastructure readiness across 10 production dimensions. You get a Production Readiness Score, a clear engineering roadmap, and an honest go/no-go decision. Not a strategy deck. Not a six-month discovery phase. An answer.
Prove
6-8 weeks
We deploy your AI into your actual production environment: real data, real integrations, real governance, real SLAs, real users. Production monitoring from day one. At the end of 8 weeks, you have production AI running. Or we've saved you from a failed deployment before it cost you millions.
Deploy & Operate
3-6 months → Ongoing
Full production deployment: security, compliance, scalability, monitoring, user training, change management. Everything required for AI your entire organization depends on. Then we stay. Continuous optimization, drift detection, SLA-backed performance. When you're ready for the next use case, we're already inside the system.
Latest Insights
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Contact One of Our Experts
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