Control.
Engineers stay in charge of AI-assisted and human-written RTL decisions.
Safety-critical medical hardware,
developed with engineers in control
Sigasi helps ASIC and FPGA teams in medical technology validate, understand, document, and review RTL in full project context, whether it is written by engineers, generated by HLS, supplied as IP, or produced by AI. SystemVerilog, Verilog, VHDL, and mixed-language projects are analyzed locally at interactive speed, supporting the disciplined engineering practice these programs require. Sigasi’s semantic analysis stays on-premises; project files are not sent to Sigasi servers.
SystemVerilog · Verilog · VHDL · Mixed-language · AI-assisted or human-written RTL · Analyzed locally, on your own infrastructure
A stronger front-end workflow for safety-aware medical 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 medical ASIC and FPGA development
Medical imaging runs on custom digital hardware.
The image on a medical display begins with an engineering chain. Measurements must be acquired, associated with the right channel or event, transferred, and processed. A new acquisition mode can change interfaces, shared types, configuration logic, and verification code across that chain.
FPGAs and custom ICs support different parts of medical equipment. Suppliers identify applications in ultrasound, CT, MRI, medical video, and compact devices. Sigasi serves the engineers developing the digital HDL within those architectures.
Understand the project around the change
An acquisition controller rarely stands alone. It can depend on vendor libraries, reusable IP, generated processing blocks, and product-specific wrappers. Engineers need to understand those relationships before deciding what to modify.
Sigasi brings deterministic semantic analysis into the workspace for SystemVerilog, Verilog, and VHDL. Reference navigation and contextual information help engineers investigate declarations and their use. Source-linked block diagrams and supported state-machine views provide additional ways to inspect the implementation. Modular Projects organize targets and dependencies so the configuration under investigation is explicit. That helps teams distinguish an RTL issue from missing project context and assess a change in the variants where it will be used.
Bring feedback closer to the engineering decision
Suppose a detector interface gains a wider measurement field. A downstream wrapper or testbench may retain earlier definitions. Sigasi’s supported language checks and configurable lint rules can expose source inconsistencies while the engineer still has the change in mind. The engineer can investigate the relevant definitions, correct the source or configuration, and carry a better-understood project into verification. A clean analysis result is a useful checkpoint. Simulation, appropriate formal and implementation checks, and product-level evaluation still establish the required behavior.
Support changing hardware and software architectures
GE HealthCare’s cSound material describes software beamforming supported by an acquisition and data-processing architecture. It illustrates why moving computation into software increases the value of a clear hardware interface. This is application context; the cited material does not establish use of Sigasi.
Sigasi helps engineers inspect the HDL implementing those interfaces and maintain the surrounding project. Source-derived documentation provides a reference that can be regenerated as the implementation changes, while requirements and design rationale retain their own records.
Keep engineering decisions grounded in evidence
Where AI agents are approved, Sigasi’s MCP integration provides project-aware feedback inside the running extension. Licensed CLI workflows can repeat checks in automation. Engineers review proposed edits and decide what advances through the established development process.
That contribution is specific: understandable RTL, supported early feedback, and clearer project context. Medical-device risk management , clinical performance, and compliance require their own evidence and remain part of the manufacturer’s wider process.
Request the medical whitepaper for detailed workflows covering acquisition, ultrasound, medical video, reusable IP, verification, and AI-assisted RTL development. Then discuss your medical hardware project 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.
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 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 review packagesLet your RTL team evaluate Sigasi
Evaluate Sigasi on a representative ASIC or FPGA project, on your own infrastructure.