Custom Enterprise Software Development

1. AI inside your infrastructure. Not a proof of concept that never ships.

What's Included

• Technical discovery and AI readiness assessment
• Architecture design within your existing compliance framework
• Custom AI model integration (LLMs, vision, NLP, predictive)
• Data pipeline development with your existing warehouses
• Security review, SOC 2 alignment, and access controls
• Staging → QA → production deployment pipeline
• Team training and internal documentation
• 90 days post-deployment support with dedicated point of contact

Your board approved the AI initiative six months ago. Your team evaluated twelve vendors. Nothing shipped. We've seen this cycle at companies with 200 employees and companies with 20,000. The problem is never the technology - it's the gap between what the AI vendor demos and what your infrastructure actually supports. We close that gap. Scoped, built, deployed, and handed over - inside your stack, inside your compliance requirements, on a timeline your leadership team can actually report on.