Aerospace
Mission-critical RTL development with deterministic validation and governed workflows.
Explore AerospaceCatch RTL errors
before
simulation does
Sigasi analyzes your whole project while you write, reuse IP, or your agent generates code, not just the file you have open. Real-time feedback, no need to wait for a simulation run.
Trusted by thousands of hardware engineers worldwide at top tier customers, ask for our reference list.
Made for professional ASIC and FPGA teams
Automotive
Scale complex ASIC and FPGA programs with safety-aware engineering practices.
Explore Automotive
Defense
Keep engineers in control of AI-assisted RTL in high-assurance environments.
Explore Defense
Energy
Build dependable RTL for power grid infrastructure with deterministic validation.
Explore Energy
Fintech
Develop low-latency FPGA trading systems with deterministic, review-ready validation.
Explore Fintech
Industrial
Manage large, evolving FPGA and mixed-language codebases with governed workflows.
Explore Industrial
Medical
Develop safety-aware medical device RTL with disciplined, review-ready engineering practices.
Explore Medical
Semicon
Move faster from FPGA prototype to ASIC ready projects with mixed-language intelligence.
Explore Semicon
Telecom
Keep large FPGA and ASIC designs in SystemVerilog, Verilog, and VHDL reliable with deterministic validation.
Explore Telecom
Serving: Aerospace Automotive Defense Energy Fintech Industrial Medical Semicon Telecom
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Deterministic RTL development for an AI-enhanced world
Accelerate with AI.
Validate with determinism.
Checks types, scopes, interfaces, and dependencies across mixed-language projects, for engineers and agents alike.
Complexity increases.
Visibility must scale.
Connects code, hierarchy, and dependencies, so a large mixed-language project stays navigable and reviewable.
Shift validation left.
Fix issues faster.
Analyzes handwritten and AI-generated RTL at coding speed, before it reaches simulation and verification.
Deterministic validation enables governance.
Checks HDL against configured coding standards and your own rulesets, with repeatable diagnostics.
Onboard faster.
Keep engineers in control.
Navigation, visualization, and documentation for new engineers, and structured project context for agents.
Built for modern RTL workflows
Sigasi fits into your existing toolchain to validate RTL early, keep engineers in control, and ensure downstream success. The earlier a problem is discovered, the lower the chance of it reaching a reviewer.
See how Sigasi fits your flow
Engineering leads
Work in the environment you prefer with(out) the agent of your choice.
Iterate live
Code is checked in real-time to reduce time and/or tokens spent.
Sigasi visualizes
Engineers validate and deliver higher quality RTL.
Doc generation
Throughout the project, documentation is always automatically kept up-to-date.
Increase velocity
Both design speed and quality increase, reducing time to market.
Visual Studio Code
GitHub Copilot
Claude Code
OpenAI Codex
Cursor
Mistral Vibe- LSP
- MCP
- CLI
- Verilog IEEE 1364-2005
- VHDL IEEE 1076-2019
- SystemVerilog IEEE 1800-2023
UVM
OSVVM
UVVM
Complete project semantic understanding
Our patented technology builds a deep semantic model of your design that compiles in real-time so that you can see the big picture and all important details instantly.
- Context-aware insights and actionable suggestions in real-time
- Interactive graphical representation of your design while you type
- Actionable feedback and visualization applied to verification
- Seamless integration of your tools and workflows in one platform
- On-the-spot warnings for safety standards and in-house rules
AI increases speed.
Sigasi enhances efficiency.
Save time
Compile at coding speed, so problems surface in the second they are written rather than at integration.
Save costs
Fewer iterations, less wasted AI tokens, less work late in a program when it is most expensive.
Keep review possible
RTL checked against your real project, no matter whether you or an AI agent wrote the code. You decide what moves forward based on facts.
WITHOUT SIGASI
Total: 38 weeks
RTL coding, review & linting
12 weeks
Simulation and verification
16 weeks
Synthesis and post-verification
10 weeks
WITH SIGASI
Total: 28 weeks
RTL coding, review & linting
6 weeks (-50%)
Simulation and verification
12 weeks (-25%)
Synthesis and post-verification
10 weeks (no impact)
See Sigasi in action
Real-time feedback. Intuitive visualization. Engineering clarity.
View all screencasts
Incremental real-time compiler
Context-aware feedback, linting, and completion as you type
Interactive visual design creator
Block and state machine diagrams while you type
Dependency analysis
Spot missing mappings and broken includes instantly
Verification accelerator
Debug UVM, UVVM, OSVVM, VUnit, and Cocotb faster
Up-to-date documentation
Documentation is ready on-the-fly. No more chore after the job is doneTrusted by leading chip makers
Standards compliance
Supports DO-254, STARC, ISO 26262, and custom compliance.
Verification & RTL
Efficiency gains for both verification & RTL.
Scalable and distributed
Built for large codebases and global teams.
Tightly integrated
Works with your tools, processes, and policies.
News and resources
View all newsThe Ultimate Guide to Better RTL Development
Our new demo movies show Sigasi Visual HDL working on real HDL in 23 short clips. You pick what you want to see, in any order, without installing anything.
Sigasi Visual HDL 2026.5
Sigasi Visual HDL 2026.5 opens the Sigasi MCP server to your AI agent running in VS Code (and Cursor), including Claude Code, OpenAI Codex, and Mistral Vibe. It also renders WaveDrom diagrams from your HDL comments, spell checks comments and strings, makes Modular Projects portable with a project-level dependency search path, and expands VHDL declaration checks.
Your Agent Says It Is Done
On OCT 14, we handed AI agents two complete engineering objectives and let them work. Both finished. In the first workflow, deterministic analysis still had findings after the agent called the job done.
See how deterministic RTL development feels in practice.
AI can generate HDL fast. Sigasi helps teams review, understand, and validate RTL in full project context before issues move downstream.
