A few quick facts about us:
Preetham Reddy founded TechFabric in 2017 with a clear belief: enterprise technology problems deserve real engineering, not more headcount. The company was built to own the problem, not fill the seat. Complex integrations. Systems that had to work at scale. Projects where the requirements alone took weeks to define. Clients came through referrals because the results were visible.
Built to take on the complex enterprise problems other firms avoid. From the beginning, TechFabric hired experienced engineers and put them directly on client projects. No layers. No account managers. The people who sold the work were the people who did the work.
When AI began changing enterprise software, TechFabric recognized immediately that this was the next category of hard problems worth solving. The company was among the first to deploy AI in enterprise production environments, applying the same engineering rigor to AI that it applied to everything else.
AI-native engineering is the natural evolution of that founding mission. TechFabric builds AI systems for clients and operates as an AI-native team, with internal AI infrastructure built into how every project is delivered. The core capability hasn't changed: figure out how to build what other teams can't, and deliver it.
US leadership with global delivery capability. 115+ engineers across North America, Europe, and Asia.
Phoenix, AZ USA (Headquarters)
Amsterdam, Netherlands
Dnipro, Ukraine
Hyderabad, Telangana, India
These aren't slogans. They're how we make decisions, hire people, and deliver projects.
When something goes wrong, we fix it. When something ships, we're responsible for what comes next. Accountability for results, not just effort.
Working systems are the proof. Our code is in production for real clients. Claims are easy. Running software isn't.
Production load is the standard. Every system we build runs under real conditions with real users. Demos don't count.
Senior engineers on your project from day one. You talk to the people doing the work. No layers between you and the team.
Clear language that anyone can understand. No jargon that sounds impressive but means nothing. If it doesn't translate globally, we rewrite it.
This is how we work. If you have an AI initiative that needs experienced engineers, we should talk.
