Local AI for reviewed suggestions
We're working toward qualified on-device AI that can suggest verification intent for your review. Compiler facts and simulator results stay authoritative. No local model is available in today's Beta.
Private Beta
Make RTL verification easier.
We're building Nilavon Studio, a local-first desktop workspace for RTL engineers. In our vision, AI suggests what to check using your specification and local RTL analysis. You review the intent before Nilavon generates controlled testbenches, runs them locally, and shows the evidence behind each result.
The private Beta covers focused workflows. Qualified local AI is planned and unavailable today. Access is invite-only.
Why Nilavon
A clearer path from design intent to evidence.
One connected workflow
Bring RTL and a written specification into one desktop flow for review, controlled test generation, local simulation, and evidence.
Review before running
See interpreted behavior, assumptions, and unsupported items before you approve what will be checked.
Results with context
Trace a result back to the reviewed requirement and executed test. A pass covers only the checks that ran; it does not establish coverage or general design correctness.
Local by default
Your RTL, specification, generated files, logs, and evidence stay on your machine in the default workflow.
Private Beta today
A focused workflow from specification to result.
The current Beta puts the review-first approach to work in bounded verification flows.
- 01
Bring your design
Start with RTL and a written specification of the behavior you want to check.
- 02
Review the checks
See interpreted behavior, assumptions, and unsupported items before you approve what will run.
- 03
Run locally
Nilavon turns approved intent into controlled cocotb testbenches, then runs them with its bundled simulator.
- 04
Follow the result
Trace each result back to the reviewed requirement, executed test, and recorded limitations.
The wider vision
More designs, with the same clarity about results.
We're working toward more reviewed RTL behavior, qualified local AI, and a place in existing verification flows. These are planned directions, not capabilities in today's Beta.
More RTL behavior to explore
We're expanding the range of reviewed behaviors Studio can check, while making unsupported cases clear.
A place in existing flows
SystemVerilog output and integration with existing UVM environments are on the roadmap, with the same traceable review and evidence.
AI may help propose intent, but the engineer's review, deterministic checks, simulator output, and evidence remain authoritative.
Private Beta
Help shape the next chapter of Nilavon.
Join the private-Beta waitlist for access updates and a chance to help us learn from your verification workflow.
See download availability