Production AI systems—not prototypes
85% of AI projects never make it to production. We build the other 15%.
Most AI initiatives fail not because the technology doesn't work, but because nobody planned for what happens when real users show up. Cost explosion. Scaling failures. Integration nightmares. The gap between a demo and a production system is wider than most teams expect.
We've spent 34 years building enterprise systems that have to work—from credit card processing at American Express to Fortune 500 digital transformation. Now we apply that production discipline to AI. The result: systems that actually serve users at scale.
From strategy through infrastructure—everything you need to build AI that works
Navigate the complex journey from AI proof-of-concept to production with 34 years of enterprise systems experience. We help you avoid the pitfalls that derail most...
Complete AI applications built for production, not just demos. From vertical SaaS products to enterprise integrations, we deliver systems that scale and perform.
Take control of your AI compute costs and capabilities. We design and implement GPU infrastructure that delivers performance without cloud provider lock-in.
Level up your development team with training from a Microsoft Certified Trainer and AWS Authorized Instructor who has trained over 1,000 developers.
Senior technical leadership without the full-time commitment. Get experienced guidance on your AI initiatives from someone who has built Fortune 500 systems.
Engaging technical talks on production AI systems, drawn from real experience building platforms that serve real users at scale.
Production-first thinking at every stage
We assess your current state, identify what's actually blocking production deployment, and map the real requirements—not just the wishlist.
Design systems that will scale. Address cost, performance, and operations from day one—not as afterthoughts when things break.
Implementation on proven infrastructure. Configuration-driven where possible. Your team involved throughout so they can run it.
Your system, your team, your capability. We document, train, and ensure you're not dependent on us to operate what we built together.
Most AI consultancies are either big firms with junior staff doing the work, or AI enthusiasts who've never shipped production systems. We're neither.
Multi-tenant AI platform processing 100K+ monthly operations. Four distinct conversational patterns. 70% task completion vs. 15% industry standard.
Production applications across healthcare, legal, and marketing verticals. Multi-modal output (text, images, audio). RAG integration with domain knowledge.
Online learning platform serving 50K+ members with 140K YouTube subscribers. 10+ years continuous operation. Proof that we build systems that last.
Kubernetes clusters with NVIDIA GPU virtualization. Queue-based workload management with SLA prioritization. Multi-cloud and on-premise deployment.
K-token economy system achieving 44-59% cost reductions. Multi-provider routing. Intelligent caching. Production-proven at scale.
Pipeline parallelization reducing processing time from 8+ seconds to ~2 seconds. Streaming WebSocket architecture for real-time AI responses.
Since 1998 — 27 years
Since 2017 — Developer & Solutions Architect
Visual C++ — Recognized expertise
Enterprise teams across dozens of organizations
We're practitioners, not just advisors. We're actively building and running production AI systems—100K+ monthly operations on our own platform. When we talk about production patterns, cost management, or scaling challenges, we're describing what we deal with every month. Most consultancies are either staffed by junior people executing playbooks or by senior advisors who haven't shipped code in years. We're neither.
Yes. Many clients come to us at the start of their AI journey. We help assess readiness, identify the right first projects, and build a foundation that won't need to be ripped out later. Starting with production thinking from day one prevents the expensive "rebuild everything" phase that hits most organizations 12-18 months into their AI initiatives.
Absolutely—that's how we prefer to work. We're not here to replace your team; we're here to accelerate them. Whether it's fractional architecture guidance, hands-on building alongside your developers, or training to level up their AI capabilities, we integrate with your existing organization. The goal is always to transfer knowledge so your team can run without us.
Our core stack is C#/.NET Core for orchestration, Python for AI execution, and JavaScript for frontend. Infrastructure runs on Kubernetes with NVIDIA GPU integration. We integrate with all major AI providers—OpenAI, Anthropic, Google, DeepSeek—and can work with open-source models. That said, we're not religious about technology. We'll work with your existing stack where it makes sense and recommend changes only when there's a clear production benefit.
It depends on scope. Strategy and assessment projects run 2-4 weeks. Platform development ranges from 6 weeks for focused applications to 3-4 months for complex enterprise integrations. Fractional architect engagements typically start with a 3-month commitment then go month-to-month. Training programs range from single-day workshops to multi-week comprehensive programs. We scope engagements to deliver clear outcomes, not to maximize billable hours.
Yes, though our goal is to minimize your need for it. We build systems that your team can operate and document thoroughly so knowledge transfers. For organizations that want ongoing access to senior guidance, we offer fractional architect retainers—part-time involvement at a sustainable cadence. Some clients engage for a project, then transition to occasional check-ins. Others maintain long-term relationships as their AI capabilities expand.