TestFlow is a deep-tech company creating an AI-native platform that automates hardware testing inside labs — so teams can validate chips and electronic systems faster, with reusable workflows and clean, trusted data.
Built for validation engineers using real instruments — oscilloscopes, power supplies, SMUs, DMMs, and more.
Every breakthrough in chips, energy, automotive, robotics, and medical devices depends on one thing: testing that is accurate, repeatable, and fast.
But hardware validation is still slowed down by manual bench work, brittle scripts, scattered tools, and tribal knowledge.
We exist to change that — by making lab testing automated, reusable, and team-owned.
As chips become more complex, validation cycles become longer — and small inefficiencies multiply:
This slows iteration, delays launches, and increases risk.
TestFlow connects your instruments and converts your best testing knowledge into structured, reusable test flows. So instead of rebuilding tests every time, your team runs the same flow reliably.
TestFlow is not a “wrapper” around scripts. It’s an execution layer designed for real labs.
Built for real instruments and real measurement workflows — not simulations.
Workflows are assets that persist across boards, revisions, and teams.
AI helps engineers structure test flows faster, without starting from scratch.
Every run produces consistent outputs that are easier to audit, compare, and share.
Test knowledge lives in the platform — not in one person’s folder.
The next decade will be defined by hardware: AI compute, electrification, autonomous systems, industrial robotics, and next-generation connectivity.
To build those systems faster and more reliably, validation needs to evolve from “manual experiments” into repeatable engineering infrastructure.
Our vision is to make TestFlow the standard platform powering validation teams globally — from startups to national labs to leading semiconductor companies.
If you can’t repeat it, you can’t scale it.
A test shouldn’t be rebuilt for every revision.
Time should go into measurement and insight, not tool babysitting.
Fewer disconnected tools, more shared workflow.
Faster cycles only matter if data stays reliable.
Bring-up, characterization, regression testing, revision cycles.
Device testing, system verification, reliability workflows.
Repeatable experiments, consistent logging, shareable results.
Not for simulation-only workflows. Built for bench + instruments + real measurements.
Join us in building the future of hardware validation
Join our core team to develop cutting-edge AI solutions for hardware validation automation.
Work on implementing and optimizing automated validation processes for semiconductor and electronics clients.
Drive the product vision and roadmap for our AI-powered validation platform.
Help semiconductor and electronics companies understand and implement our validation solutions.