Riemann
Secure Semiconductor Design at Step 0
A deterministic HDL firewall that validates silicon architecture before simulation, eliminating AI hallucinations, reducing compute waste, and guaranteeing structural integrity.
The Ultimate Deterministic Gatekeeper
Sitting directly between the LLM output and the EDA simulator, it intercepts the generated code, parsing the logic into a discrete topological graph.
It then mathematically checks this graph against a Truth Vector Space (e.g., verifying clock domain crossings and asynchronous resets).
Bottleneck: AI Hallucinations
As designers increasingly rely on LLMs for Verilog, VHDL, and .sdc rules, they face a critical risk. A single structurally flawed line of code can go undetected until it hits the simulation phase.
24h Lost on a Single Failure
A single flawed HDL statement can waste hours of simulation time and expensive cloud compute resources. Riemann stops invalid logic before simulation begins, eliminating failures at the source.
Instant Veto Mechanism
Riemann vs. Standard LLM
Recent stress tests on complex hardware documentation
(a 593-page, 9,492-sentence architecture manual) definitively prove Riemann’s superiority over standard LLMs
(e.g.: DeepSeek, GPT and Claude) across every critical metric:
While the LLM required an agonizing 1,701 seconds (over 28 minutes) to process the logic, Riemann completed the topological mapping in just 202.6 seconds—an 8.4x speedup.
The analysis is instantly complete, keeping the developer's workflow fluid.
Riemann achieved a 94.2% accuracy rate, successfully validating 6,946 structural statements.
The LLM struggled with sequential token processing, achieving only 77.5% accuracy (a mere 603 valid statements).
The LLM suffered a catastrophic 19.2% hallucination rate. This unpredictability makes standard LLMs unsuitable for critical hardware verification.
Because Riemann does not guess, it delivered exactly 0% hallucinations, providing the absolute deterministic certainty required for semiconductor tape-outs.
Standard LLMs burn massive amounts of power guessing at solutions. In baseline logic checks, an LLM requires 3.57 mWh per inference; Riemann requires only 134.5 µWh—a massive 26.6x reduction in energy consumption.
In the heavy stress test, the LLM burned 80.78 mWh, while Riemann consumed a microscopic 3.66 mWh (a 22.1x advantage).
The Riemann Firewall requires zero tokens, eliminating the computational overhead of standard language models.
- Prevents invalid designs: Deterministic validation before compilation.
- Slashes cloud costs: Zero-token architecture removes inference fees.
- Guarantees integrity: Validates silicon architecture structural soundness.
Secure the Logic. Settle the Physics.
From zero-liability AI validation with the Riemann Firewall to invariant topological routing with the U1 Orchestrator.