AI-native product engineering
We engineer software for the AI era.
Datricx AI designs, builds, and scales AI-powered products — GenAI applications, autonomous agents, and data platforms grounded in your data. From first prototype to enterprise production.
- Products shipped to market
- 0+
- Industries served
- 0
- Client retention rate
- 0%
- To first working demo
- 0 wks
Products shipped to market
Industries served
Client retention rate
To first working demo
Trusted by product teams across four continents
5.0 client rating
Rated five stars across review platforms
Top Rated AI Engineering Company
Recognized for AI delivery excellence, 2026
100% recommendation rate
Every reference client would hire us again
Security-first delivery
SOC 2, HIPAA & GDPR-conscious engineering
Why Datricx
Everyone is talking about AI.
Few are shipping it.
Most AI projects die between the demo and production. Datricx exists for that gap — a product engineering partner with the discipline to take intelligent software all the way to real users, real scale, and real returns.
AI-first, not AI-washed
Every engagement ships with evaluation harnesses, observability, and guardrails — because AI you can't measure is AI you can't trust.
Senior teams only
No junior benches, no bait-and-switch staffing. The engineers you meet in the first call are the engineers writing your code.
Outcomes over output
We scope against business metrics — conversion, cost per ticket, time to close — and report against them every single week.
What we do
Full-spectrum engineering,
built around intelligence.
Six practices, one accountable team — combine them however your roadmap demands.
How we work
The Datricx Loop — evidence before investment.
A delivery method built for the AI era: prove value in weeks, scale only what the numbers justify, and never bet a roadmap on a demo.
- Week 0–1
01Discover
A focused discovery sprint: we map the problem, audit your data and systems, and rank opportunities by ROI and risk. You leave with a scoped plan and a number attached to it.
- Week 1–3
02Prove
A working proof of value on your real data — not slides. Evaluation harness included, so the go/no-go decision is made on evidence.
- Week 3–10
03Build
Senior squads ship in weekly releases. Every sprint ends with a demo of working software and an honest read on scope, budget, and quality metrics.
- Week 10+
04Ship
Hardening, security review, load testing, and launch. Observability and runbooks in place before the first real user arrives — not after the first incident.
- Ongoing
05Scale
Post-launch, we optimize against production reality: model costs, conversion funnels, infrastructure spend. The roadmap keeps compounding.
Selected work
Results our clients
put in board decks.
Industries
Deep in the domains where software decides margins.
SaaS & Technology
Financial Services
Healthcare
Logistics & Supply Chain
Retail & E-commerce
Real Estate & PropTech
Education
Telecom & Media
Technology
Boringly reliable tools,
wielded at the frontier.
What clients say
Judged by the people
who pay the invoices.
“They were the first team that talked to us about evaluation before talking about models. Three weeks in, we had accuracy numbers on our own data — that's when we knew this wasn't another AI vendor selling demos.”
Chief Technology Officer
B2B SaaS platform
“The squad integrated into our sprints like they'd been here for years. Weekly demos, honest status, and code our own engineers actually want to maintain.”
VP of Engineering
Financial services firm
“We'd been burned by agencies that shipped a prototype and disappeared. Datricx stayed through launch, tuned costs in production, and the platform has run without a major incident since.”
Head of Product
Logistics company
Insights
Field notes from
the build floor.
The Datricx Dispatch
Engineering notes, monthly.
What we learned shipping AI to production this month — patterns, pitfalls, and honest numbers. No hype, unsubscribe anytime.
FAQ
The questions every
smart buyer asks.
Anything else? Ask us directly — you’ll talk to an engineer, not a sales script.
Three weeks for a proof of value on your real data, and 8–12 weeks from kickoff to a launched product. We front-load the riskiest assumption so the first thing you see is the thing that matters.
Start a project
Tell us what you
want to build.
Share a few lines about your product or problem. Within one business day, an engineer — not a salesperson — will reply with an honest read and suggested next step.