The Delivery Harness for Launching Trustworthy AI

Ekiepo was built for the unpredictable reality of custom AI development. While traditional software relies on predictable inputs and outputs, LLMs, RAG, and AI agents play by entirely different rules. They are probabilistic, prone to hallucinations, and can quickly become massive cost centers if left unoptimized.

As organizations shift from experimental AI to enterprise production, Ekiepo provides the framework to scale safely:
Right Brief: Our guided process surfaces the hard questions upfront saving you from costly surprises when it matters most.
Right Team: We match your project's unique technical demands with the precise expertise needed from our elite AI engineering teams.
Right Delivery: By verifying every performance benchmark and compliance requirement, we provide rigorous governance on deliverables across all development phases.

Get an AI Project AssessmentLearn More / Contact Us

From brief to production, on the record

Every milestone governed. Every gate earned.

For Businesses

Briefs that ask the right questions.

Our builder guides you through the questions that prevent AI projects from failing. We build these into the brief upfront so the team commits to numbers you can verify before anyone writes code.

Our Teams

An exclusive network of vetted AI teams.

We vet every team upfront. Open source contributions, agentic and RAG portfolios, production track record. Our teams receive scoped briefs and submit comparable proposals through our platform.

For Every Project

Proof tied to payment.

The Production Assurance Dashboard tracks every milestone. Our teams upload evidence. We verify. You approve. When a stage clears, escrow releases and the next phase funds. No payment without proof.

Green by design

AI that is trustworthy is also AI that is efficient.

Cost & Efficiency Gates

Smart architecture is cost efficient architecture.

Our Production Assurance Methodology steers your AI projects toward optimized performance and cost efficiency. Do you actually need an LLM here, or will code do? Can a local model handle this? What's the token spend per call? We turn those questions into gates. Greener AI isn't a feature, it's how the system is built.

How it works

From request to running a project, in four moves.

01

Submit your brief

Use the RFP builder to scope the work, define success criteria, and surface the questions most AI projects skip.

02

Gates tuned to your project

We customize verification gates for accuracy, security, cost, and ownership so the standard fits your build.

03

Scored proposals from our teams

Your brief goes to our vetted teams, then you receive structured proposals for side-by-side comparison within 72 hours.

04

Track delivery, milestone by milestone

Evidence uploads, we verify, you approve, escrow releases, and the next phase funds when a gate clears.

About the founder

Built from both sides of delivery.

Danny Sanchez has spent 20 years building software with founders, brands, and agencies. He co-founded Qonnect, an innovative QR code marketing platform, well ahead of its time. It reached profitability within 6 months and had major clients including the Tribune Company, Hyatt, Coldwell Banker, and Bosch.

He led product at Music Dealers, a two-sided marketplace matching artists to brands and agencies. As Director of Technology at Trisect, he managed digital product delivery for clients including SlimJim, Mike's Hard, and P.F. Chang's. For the last nine years he has run Giant Radius, the Chicago based development agency he founded.

I've spent my career on both sides of the table. Building software for clients, and overseeing delivery from the inside. Same problem at every scale: vague briefs, mismatched expectations, no real way to verify the work before payment moves. AI makes that worse. Ekiepo is what I wish had existed every time I was on one side of the table or the other. And now I'm building it.
Danny Sanchez, Founder
Connect on LinkedIn