Production-grade, not demos
We don't build proof-of-concepts and walk away. Every system we deploy is built for reliability, scale, and real-world conditions. If it can't run in production, we don't ship it.
DPS Technologies exists because the AI industry has a delivery problem. Everyone can build a demo. Almost nobody can deploy AI that works reliably in production, at scale, in real business environments.
We're the team that bridges that gap. Our sweet spot is growing and mid-market businesses — roughly $5M to $100M in revenue — teams that know they need AI but don't have an internal AI team. Too complex for freelancers. Too small for the Big 4. Perfect for us.
Smaller or bigger than that? The method still applies — if your team runs a process, we can modernize it. See who we work with.
We don't build proof-of-concepts and walk away. Every system we deploy is built for reliability, scale, and real-world conditions. If it can't run in production, we don't ship it.
We build on the Model Context Protocol — the emerging standard for connecting AI to tools and data. Your AI infrastructure stays future-proof, interoperable, and not locked into any single vendor.
Where possible, we use open-source models and tools — reducing lock-in, lowering costs, and giving you full control of your stack. We'll use proprietary when it's genuinely better, but never by default.
We're not here to deliver a project and disappear. Our retainer model means we stay invested in your success — monitoring, optimizing, and deploying new capabilities as your business evolves.
In 2026, AI is moving from experimentation to operations. The companies that deploy AI effectively now will have a compounding advantage over those that wait. We help you be one of those companies — with clarity, speed, and systems that actually work.
Get a free AI audit — we'll identify your top automation wins and show you the ROI, with no commitment.