Control.
Engineers stay in charge of AI-assisted and human-written RTL decisions.
Safety-critical automotive hardware,
developed with engineers in control
Sigasi helps ASIC and FPGA teams across the automotive supply chain (semiconductor suppliers, Tier 1s and vehicle manufacturers) create, validate, understand, document, and review RTL in full project context, whether it is written by engineers, generated by HLS, supplied as IP, or created by AI. SystemVerilog, Verilog, VHDL, and mixed-language projects are analyzed locally at interactive speed, keeping proprietary RTL inside your controlled engineering environment.
SystemVerilog · Verilog · VHDL · Mixed-language · AI-assisted or human-written RTL · Analyzed locally, on your own infrastructure
A stronger front-end workflow for high-assurance programs
Clarity.
Teams understand project context, dependencies and design impact faster.
Consistency.
Technical leads apply coding rules and project-specific engineering discipline.
Velocity.
Developers catch issues earlier and reduce avoidable downstream friction.
Confidence.
RTL reaches review and integration in a more inspectable, maintainable state.
Why Sigasi belongs at the center of automotive ASIC and FPGA development
Reuse is the normal case in automotive RTL.
An automotive IP block can become part of several chips, controllers, and vehicle generations. Each reuse brings new interfaces, configurations, and engineers. The team needs to understand what changed and whether the block still fits the project around it.
Sigasi Visual HDL brings deterministic semantic analysis into everyday RTL development. Its workspace connects VHDL, Verilog, and SystemVerilog source with configured libraries and dependencies, giving engineers project-aware feedback while they work.
Understand the RTL behind more integrated vehicle electronics
Automotive suppliers are developing architectures that combine central vehicle computers with zone controllers. Bosch describes this as a transition that can also happen incrementally within existing platforms. For RTL teams, the practical challenge is to keep reused blocks and their interfaces understandable as designs evolve. Sigasi helps engineers navigate declarations, references, hierarchy, and dependencies. Diagrams provide another route into unfamiliar code, while supported state-machine views connect control structures directly to their source.
Catch issues before they interrupt downstream work
A missing package or unresolved reference should be investigated while the engineer is making the change. Sigasi provides semantic diagnostics and configurable linting in the editor, helping teams identify supported issues without waiting for a downstream run. That feedback also helps engineers investigate configuration. A block may be correct while its library mapping or include path is incomplete. Understanding the cause helps teams avoid unnecessary source changes and focus reviews on the intended modification.
Reuse IP with a clear project definition
Reuse involves more than copying source files. The team also needs the right dependencies, language settings, target configuration, and coding rules. Sigasi project definitions and settings can be versioned alongside the HDL so engineers can work from a shared baseline. That context helps when a supplier delivery enters a new SoC or an established block is adapted for another device family. Source-derived documentation can capture implementation information for review and maintenance when it is regenerated from the relevant baseline.
Support disciplined development in safety-related programs
ISO 26262-5 covers hardware development for safety-related automotive systems, including ASICs, FPGAs, and PLDs. Sigasi supports the daily RTL work within that broader process through analysis, configurable checks, and design navigation.
Those capabilities do not establish ISO 26262 compliance or prove that a safety mechanism works. Requirements, safety analysis, verification, and the applicable tool-confidence assessment remain part of the program’s engineering process.
Give approved AI agents project-aware feedback
Where AI-assisted development is permitted, supported agents can use Sigasi’s MCP tools for diagnostics, project context, symbol searches, and formatting. The current server runs inside the Sigasi extension with the project open. Engineers review the proposed changes before they proceed through verification. Teams can also use licensed CLI workflows for supported checks and documentation generation in automation. Simulation, formal verification, implementation, timing analysis, and device qualification retain their respective roles.
Keep design knowledge with the RTL
Whether your team develops automotive semiconductor IP, an ADAS processing block, or an FPGA controller, Sigasi helps engineers explore the implementation and investigate changes in context. Request the automotive whitepaper to explore RTL reuse, supplier integration, design review, and controlled AI-assisted development with Sigasi.
One semantic model over the whole project
Sigasi parses the full project, not the open file: hierarchy, types, scopes, dependencies, interfaces and references across SystemVerilog, Verilog and VHDL. That model is what makes a review of supplier, legacy or AI-generated RTL an inspection rather than a reading exercise.
- Context-aware diagnostics while the design is still cheap to change
- Block and state machine diagrams generated from the code itself
- The same project model applied to testbenches and verification code
- Command-line analysis that runs in CI on your own build servers
- Coding rules and safety checks enforced consistently across teams
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 review late in a program when work is most expensive.
Keep review possible
RTL checked against your real project whether you or an AI agent wrote the code. You decide what moves forward based on facts, not hope.
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 it on real code
Five short recordings of the product doing the work described above. No sign-up.
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Incremental real-time compiler
Context-aware feedback, linting and completion as you type
Interactive visual design creator
Block and state machine diagrams generated while you type
Dependency analysis
Spot missing mappings and broken includes across supplier and legacy code
Verification accelerator
Debug UVM, UVVM, OSVVM, VUnit and Cocotb faster
Up-to-date documentation
Documentation generated from the design, ready for reviewLet your RTL team evaluate Sigasi
Sigasi analyzes RTL at interactive speed, so automotive teams can move faster without losing oversight. Evaluate it on a representative FPGA project, on your own infrastructure.