SAiGE

Secure SiliconIntelligence fordigital chip design.

From engineering intent to verified silicon.

SAiGE is an AI system for digital chip design and verification — autonomous execution, deep silicon understanding, and privacy by design.

Explore Product→Read the White Paper→

Evidence

Benchmarked, not claimed.

REF · RTLLM 2.0
0%

Autonomous RTLLM 2.0 pass rate — up from 40% with GPT-4 alone

REF · NVIDIA CVDP
0%

NVIDIA CVDP score as a general-purpose agent, no task-specific training

REF · OpenROAD
0 / 24

Production OpenROAD issues independently verified and fixed

REF · RISC-V
0 / 18

RISC-V regressions passed across 2–16 lanes on PULP Ara

The Platform

From intent to verified silicon.

Regression intelligence and verified bug resolution.

SAiGE is the Secure Silicon Intelligence layer for digital chip teams. It connects specifications, architecture, RTL, verification and EDA execution, then uses closed-loop agents to investigate failures, implement bounded changes and preserve traceability across the design lifecycle.

01

Specification

NATURAL LANGUAGE → SPEC

Describe what you need in plain language. SAiGE parses intent, flags ambiguity, and builds a structured spec your team can review before a single line of RTL exists.

  • Intent parsed into structured parameters
  • Ambiguities surfaced for human review
  • Traceable from requirement to signoff
fifo_buffer.mdparsed

# Design a synchronous FIFO with configurable depth and width, with full and empty flags.

Extracted parameters

depth = 16 // inferred
width = 32
⚠ ambiguity: reset polarity unspecified — flagged for review
02

RTL Generation

SPEC → SYNTHESIZABLE RTL

SAiGE generates synthesizable SystemVerilog, iterating automatically against synthesis feedback until it's clean — no dangling latches, no lint noise.

  • Synthesizable SystemVerilog output
  • Iterates against synthesis feedback
  • Clean lint, no inferred latches
fifo_buffer.svsynth clean
1module fifo_buffer #(
2 parameter int DEPTH = 16,
3 parameter int WIDTH = 32
4) (
5 input logic clk, rst_n,
6 input logic wr_en, rd_en,
7 output logic full, empty
8);
9
10 // depth-16 circular buffer
11 always_ff @(posedge clk) begin
12 if (wr_en && !full) mem[wr_ptr] <= din;
13 end
14endmodule
03

Verification

RTL → SIMULATION EVIDENCE

Testbenches are generated and run automatically. Every claim is checked against simulation evidence before it's marked done — nothing ships on assumption.

  • Auto-generated testbenches & assertions
  • Coverage tracked as the design evolves
  • Every fix validated against simulation
tb_fifo_buffer.log18/18 pass
// running regression suite...
✓ reset_behavior — 0.4ms
✓ wr_rd_ordering — 1.1ms
✓ full_empty_flags — 0.8ms
✓ overflow_guard — 0.6ms
PASS · 18/18 assertions · 0 mismatches
04

Physical Design

RTL → REAL SILICON METRICS

Optionally carry verified RTL through synthesis and place-and-route to real silicon metrics — timing, area, and power against your target node.

  • Synthesis through place-and-route
  • Timing, area, and power reported
  • Targeted to your process node
floorplan.defP&R
Timing
MET
Area
0.42 mm²
Power
38 mW

Research

Proof, in the papers.

Every claim on this site traces back to a published benchmark or a production case study.

All publications→
REF · 01· White Paper · Apr 22, 2026

From 40% to 100%: SAiGE Autonomously Closes the Loop on RTL Design

SAiGE writes the Verilog, runs the testbench, reads failures, fixes bugs, and iterates until the design passes — no human in the loop. Benchmarked on RTLLM 2.0 across major LLMs.

100%→
REF · 02· White Paper · Jun 6, 2026

SAiGE on NVIDIA CVDP: A General-Purpose Agent Across Multi-Task Hardware Design

Strong performance as a general-purpose RTL agent across generation, modification, reuse, and bug fixing — positioning SAiGE as a practical system for real semiconductor workflows.

83%→
REF · 03· White Paper · Jun 21, 2026

Closed-Loop Agentic Bug-Fixing on a Production RISC-V Vector Processor

Real RTL debugging on PULP Ara: 15 correctness bugs fixed across 7 modules, each validated against Spike, passing 18/18 regressions across 2–16 lanes.

15 bugs→
REF · 04· White Paper · Jun 29, 2026

A Confidence-Tiered Campaign on a Production EDA Toolchain: OpenROAD

SAiGE goes beyond RTL generation to debug a real production EDA toolchain — triaging 24 OpenROAD issues and producing 17 independently verified fixes.

17 / 24→

Get Started

Ready to transform your workflow?

See how SAiGE can accelerate your team's digital chip-design process.

Try SAiGE→

Have questions? Reach out directly at contact@fermions.co