About Us

We build AI systems that actually work

We're not a generalist agency that added "AI" to the pitch deck. We're engineers who've spent years building LLM applications, autonomous agents, and production AI systems. This is all we do.

80+

AI systems shipped

40+

Production deployments

15+

Team members

3

Years building AI

Why we exist

Most AI projects fail. Not because the technology doesn't work, but because there's a massive gap between a working prototype and a production system that handles real users, real edge cases, and real stakes.

We started RDMI because we kept seeing the same pattern: companies excited about AI, building demos that impressed stakeholders, then watching those demos fail when deployed. The models hallucinated. The latency was too high. The costs spiraled. The edge cases multiplied.

We're the team you call when you need AI that actually ships. We've learned — through 80+ deployments — what it takes to go from demo to production. And we've built the playbooks, guardrails, and infrastructure to get there faster.

AI

that ships

How we think

The principles that guide how we work and what we build.

Ship to Production

Demos don't count. We measure success by AI systems running reliably in production, handling real users and real edge cases.

Depth Over Breadth

We do one thing well: AI. No mobile-first, no blockchain pivots. Just LLMs, agents, and the infrastructure to run them.

Honest Engineering

We'll tell you when prompting is enough and fine-tuning is overkill. No overselling, no unnecessary complexity.

Outcomes Over Outputs

Lines of code are vanity metrics. We care about the business impact: faster decisions, fewer errors, more capacity.

How we work

Our process for taking AI from idea to production.

01

Understand the Problem

Most AI projects fail because they solve the wrong problem. We start by understanding what you actually need, not what sounds impressive.

02

Prototype Fast

Before writing production code, we build a working prototype to validate the approach. Fail fast, learn faster.

03

Engineer for Production

Production AI needs guardrails, monitoring, and failure handling. We build systems that work at scale, not just in demos.

04

Iterate with Data

AI systems improve with feedback. We instrument everything and use real-world signals to continuously optimize.

Ready to build AI that ships?

Let's talk about your project. We'll be honest about what's possible and what makes sense for your use case.