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Moolaii/Research / EXP-001
EXP-001 · AI / RTL

AI for RTL

Can language models read, write and reason about synthesizable RTL well enough to be trusted inside a real design flow?

MLI // EXP-001STATUS · In development
THE QUESTION

Can language models read, write and reason about synthesizable RTL well enough to be trusted inside a real design flow?

OUR APPROACH

Pair a draft with the same lint and simulation checks an engineer already runs. A passing testbench means that testbench passed. It is not a claim of unrestricted correctness.

EXPERIMENTEXP-001
AREAAI / RTL
STATUSIn development
UPDATEDSeptember 2026
WHAT IS ON THIS PAGE

This page states the question and the intended loop: draft RTL, then lint and simulate before anyone treats the module as design. The homepage FIFO walkthrough is a written example of that loop. No public task set, tool versions, or pass/fail rates are published here.

EVIDENCE NOT PUBLISHED YET
  • A named task and testbench
  • Model and tool versions
  • Recorded failures and measured results
PLANNED MILESTONES

How we intend to test it.

01

Benchmark

Curate RTL tasks with testbenches
02

Generate

Model drafts modules from specs
03

Check

Lint and simulate
04

Learn

Keep failures as review notes
WHERE IT LANDS

Related products.

PRODUCT-02

Moolaii Chip

AI-assisted semiconductor design environment.

PRODUCT-04

Moolaii Agents

Specialized intelligent engineering agents.

Moolaii — Deep Intelligence · SemiconductorPRIVATE PREVIEW · RTL FIRST

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