Product · Deep-Tech

Predict a chip's failures before it's ever made.

TerafabOS is a phantom chip factory — an intelligence engine that runs tens of thousands of chip scenarios a month, learns which failures map to which fixes, and predicts failure modes before a single wafer is fabricated.

97%+
predictive accuracy on failure modes
43,200 phantom scenarios per month
19-step durable workflows
A failure→fix strategy library
Edge-worker mesh + durable workflows
The Outcome

What changes when TerafabOS runs.

Silicon has always been slow, expensive, and unforgiving to iterate. TerafabOS moves the hard part into software.

Before → After
Physical prototyping becomes phantom scenarios in software.

Instead of taping out silicon to find out what breaks, chips are stress-tested as generated scenarios — long before anyone commits to a fab run.

Before → After
Unknown failure modes become a growing fix library.

Every failure the engine surfaces is analysed and matched to a fix strategy, so the same class of defect never has to be diagnosed twice.

Before → After
Slow iteration becomes 43,200 runs a month.

Durable multi-step workflows push tens of thousands of scenarios through every month — iteration measured in software cycles, not tape-outs.

What It Does

An enterprise phantom chip factory for failure prediction.

TerafabOS is an intelligence engine that generates tens of thousands of chip scenarios a month through durable multi-step workflows, learns which failures map to which fixes, and predicts failure modes with high accuracy.

The result is a compounding asset: a failure→fix strategy library that gets sharper with every run, running on an edge-worker mesh built for durability.

Durable workflows 43,200 scenarios/mo Failure→fix library Edge mesh
Durable workflows19-step pipelines that resume, retry, and never lose state mid-run.
43,200 scenarios / monthTens of thousands of phantom chips generated and evaluated every month.
Failure→fix libraryEach failure is analysed and matched to a reusable fix strategy.
Edge meshAn edge-worker mesh runs generation and analysis close to compute.
How It Works

Three steps, all durable.

Generation, analysis, and prediction run as resumable workflows across the edge-worker mesh.

STEP 01

Scenarios are generated

Chip scenarios are generated and pushed through 19-step durable workflows that resume and retry without losing state.

STEP 02

Failures are matched

Failures are analysed and matched to fix strategies, building a library that sharpens with every run.

STEP 03

The engine predicts

The engine predicts failure modes and explains them — surfacing what will break and why, before fabrication.

Leverage

How teams put it to work.

TerafabOS isn't a simulator bolt-on. It's how a deep-tech team turns fabrication risk into a software problem.

De-risk fabrication before silicon

See failure modes in software first, so budget goes to fab runs that are already predicted to hold — not to discovering defects the expensive way.

Turn every failure into a fix

Each failure the engine finds becomes a reusable fix strategy in a growing library — institutional knowledge that compounds instead of walking out the door.

Iterate at software speed

Run 43,200 scenarios a month instead of waiting on tape-outs — iteration measured in workflow cycles, not hardware turnarounds.

Built by AppD

Simulate before you fabricate. See TerafabOS.

TerafabOS is an architecture and demo-stage showcase of what a phantom chip factory can do. If it maps to your silicon roadmap, it starts with a conversation.

Questions

Common questions

What is TerafabOS?
TerafabOS is a phantom chip factory — an intelligence engine that runs tens of thousands of chip scenarios a month, learns which failure maps to which fix, and predicts failure modes before a single wafer is made.
How does TerafabOS predict chip failures?
It generates scenarios in software, matches each failure against known fixes, and lets the engine predict what will fail. Physical prototyping becomes phantom scenarios you can run at software speed.
Who is this built for?
Semiconductor and deep-tech teams who currently learn about failure modes only after fabricating silicon, and want to de-risk a design before committing to a run.
Does it replace physical fabrication?
No. It de-risks it. The point is to catch the predictable failures in software first, so the silicon you do fabricate is spent on the unknowns rather than the avoidable mistakes.
How do we get TerafabOS for our fab?
Every deployment is scoped to your process and failure history. Talk to the team on WhatsApp at +91 78277 85015 or email next@appd.ai and we will tell you honestly whether it fits.