Toward Autonomous Specification-to-Silicon

Accelerate RTL and verification development with domain-expert chip design agents.

Agent Infrastructure Verification Automation Private RTL Models You Own Your IP

Deploy specialized AI hardware agents that design, verify, debug, and document semiconductor systems today — building toward agents that collaborate autonomously to turn specifications into verified IP.

$ pip install sigmanticai

then run sigmanticai to start the agent

Get Started Free Documentation

An AI engineering workforce — orchestrating specialist agents across your full Cadence, Synopsys, Siemens, and open-source stack.

sigmanticai Interactive REPL

Try:

The orchestration layer for hardware

An operating system, not a chatbot.

SigmanticAI is the infrastructure layer that turns frontier models into a coordinated engineering workforce — purpose-built for semiconductor teams.

Deploy Hardware Design Agents

Spin up specialized agents for UVM, SVA, coverage, RAL, RTL, and convergence — orchestrated by a director that plans, delegates, and verifies across your design.

Automate Verification Workflows

Compile → simulate → fix loops run automatically against your real EDA stack until tests pass and coverage closes. The workflow runs itself.

Train Private AI Models

Turn your accumulated RTL and design history into private models that capture your team's engineering knowledge — never shared, never used to train anyone else.

Our mission

Build the AI Operating System for Semiconductor Engineering — specialized agents that design, verify, debug, and document hardware today, and will collaborate autonomously to turn specifications into verified IP.

The trajectory

We built the workforce first.
Now we're teaching it to run autonomously.

Most companies start with a narrow tool and try to grow into a platform. We started with the platform — and we're extending it toward fully autonomous specification-to-silicon engineering.

Phase 1 Completed

Agent-Assisted Engineering

RTL generation
Verification generation
Debugging
Documentation

Phase 2 Completed

Agent Collaboration

Multi-agent design reviews
Verification planning
Coverage closure

Phase 3 In progress

Specification → RTL

Architecture extraction
Requirement decomposition
RTL generation

Phase 4

Specification → Verified IP

End-to-end autonomous execution

Phase 5

Specification → Silicon

Timing
Physical design
Signoff support

The value is in the orchestration layer

A model is a tool.
SigmanticAI is the system that runs it.

General-purpose coding assistants stop at generating text. SigmanticAI is the infrastructure around the model — agent orchestration, real EDA execution, and private design knowledge — that turns it into engineering output.

Capability

Claude Code / Cursor

SigmanticAI

Generates UVM testbenches, SVA, RAL, coverage

Generic Verilog at best

14+ specialist agents

Runs your simulator & closes coverage

No simulator integration

Compile → simulate → fix loop

Works with Cadence, Synopsys, Siemens

No EDA toolchain awareness

Auto-generates configs & Makefiles

Persistent design context across sessions

Re-explain every session

Brain Cache knowledge graph

Accuracy on chip design tasks

Baseline

20% higher

Works with your existing stack

Compatible with every major EDA vendor & open source

No vendor lock-in. Mix and match across projects — we auto-generate the right Makefiles, configs, and compile scripts for whatever you use.

Cadence

Xcelium
JasperGold
Jasper Superlint
IMC
Conformal LEC
SimVision

Synopsys

VCS
VC Formal
SpyGlass
URG
Formality
Verdi

Siemens

Questa Sim
Questa Formal
Questa Lint
Questa CDC
Questa Visualizer

AMD / Xilinx

Vivado XSIM
Vivado Lint
Vivado Synth
XCRG

Open Source

Verilator

Not Another LLM Wrapper

An interactive agent with real engineering tools — not a prompt-and-pray wrapper.

Interactive Agent Loop

Chat at the sigmanticai> prompt. Read files, edit code, run simulations, grep your codebase — an agentic interface built for semiconductor engineering.

Available tools

read_file write_file edit_file apply_diff grep_search run_command web_search

Brain Cache

A persistent knowledge graph (.sigmanticaicache/) of your spec, ports, architecture, and coverage state. Every agent reasons from the same deep context.

.sigmanticaicache/

ports.json architecture.json coverage_state.json symbols.json decisions.json lessons_learned

Works With Any Simulator

Bring your own tools. SigmanticAI generates tool-specific Makefiles, configs, and compile scripts for whatever EDA stack you already use. Zero vendor lock-in.

Simulators & tools

Questa VCS Xcelium Verilator Icarus ModelSim XSIM

SpyGlass JasperGold VC Formal Questa Formal

Automated Convergence

14+ specialist agents run compile → simulate → fix loops until tests pass and coverage hits 90%+. No manual debugging, no single-model guessing.

Convergence loop

Compile → Simulate → Fix → 90%+ cov

About SigmanticAI

SigmanticAI is the AI operating system for semiconductor engineering. Companies use it to deploy specialized hardware design agents, automate verification workflows, and train private AI models on their own RTL and design history.

Behind a simple conversational interface, a hierarchical multi-agent system orchestrates every concern: UVM testbenches, SVA assertions, coverage models, register abstractions, RTL, Makefiles, and iterative convergence — executing against your real EDA stack. A persistent Brain Cache keeps all agents aligned on your design intent.

Our goal is simple: turn every semiconductor company's accumulated engineering knowledge into an AI engineering workforce. Get started with pip install sigmanticai.

Questions or need support? Reach us at founders@sigmanticai.com

Meet Our Founders

Rohil Khare

Co-Founder & CEO

Rohil brings extensive experience in hardware design and AI systems. Previously worked on cutting-edge processor architectures and has a deep understanding of the challenges facing modern semiconductor development.

Tamzid Razzaque

Co-Founder & CTO

Tamzid is an expert in AI/ML systems and hardware optimization. He leads our technical vision and ensures our AI models deliver the highest quality verification and RTL generation. He has also worked with chip and circuit designs at Berkeley and Apple.

Deploy your AI
engineering workforce.

One pip install. Orchestrate specialist agents across your stack — production-ready Verification IP and synthesizable IP.