Infrastructure, not another chatbot.
Tensor Qxentrix Technologies Private Limited builds Qxentrix AI, an AI agent infrastructure company. We started with a narrow belief: most teams don't need a smarter model, they need a boring, reliable place to run the agent they've already prompted into working on their laptop.
Why we started Qxentrix
Every team building an AI agent hits the same wall a few weeks in: the demo works, but turning it into something that runs reliably in production — with retries, memory, guardrails, versioning, and observability — takes months of infrastructure work that has nothing to do with the actual agent logic.
We founded Tensor Qxentrix Technologies in Bengaluru in July 2026 to build that layer once, well, on top of Amazon Bedrock, so teams can spend their time on what their agent should do instead of how it gets deployed.
Built from Bengaluru
We're headquartered in Bengaluru, Karnataka — in the middle of one of the world's densest concentrations of infrastructure and platform engineering talent. Being close to that talent pool, and to AWS's own presence in India, shapes how we build: managed services first, opinionated defaults, and a bias toward things that don't page anyone at 3 a.m.
We're a fully AWS-native shop by design, running on Amazon Bedrock, Lambda, Step Functions, DynamoDB, and S3 rather than operating our own model-serving infrastructure.
Make production AI agents boring
"Boring" is the goal, not an insult. We want teams to trust an agent with a real workflow the same way they'd trust a database or a queue — because the failure modes are known, the rollbacks are one click, and someone can page the on-call engineer with a trace ID instead of a screenshot.
Managed, not magical
Every primitive we ship is explainable: you can trace exactly which model, tool, and guardrail produced a given response.
AWS-native by default
We build on managed AWS services so customers inherit AWS's security, compliance, and regional footprint automatically.
Developer-first
SDK and API first, dashboard second. If it's not scriptable, we consider it unfinished.
Small team, wide scope
We're an early-stage team based in Bengaluru, working across product, platform engineering, and applied ML. We're hiring.
Founder & CEO
Product and platform strategy.
Founding Engineer
AWS infrastructure & backend.
Founding Engineer
Applied ML & agent runtime.
Want to build this with us?
We're a small team in Bengaluru looking for early engineers and design-partner customers.