Start for free Book a free session

Latency-critical trading hardware,
developed with engineers in control

Sigasi helps ASIC and FPGA teams in financial technology validate, understand, document, and review RTL. No matter 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, so that changes to a trading routine can be understood before they reach simulation.

Sigasi Visual HDL analyzing a mixed-language project in VS Code, with project hierarchy, diagnostics and a UVM diagram

SystemVerilog · Verilog · VHDL · Mixed-language · AI-assisted or human-written RTL · Analyzed locally, on your own infrastructure

A stronger front-end workflow for latency-critical trading systems

Control.

Engineers stay in charge of AI-assisted and human-written RTL decisions.

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 fintech ASIC and FPGA development

A trading floor display board at the Taiwan Stock Exchange, showing columns of quotes in red and green beside an intraday index chart
Market data on display at the Taiwan Stock Exchange. Photograph by 中華民國總統府, the Presidential Office of the Republic of China (Taiwan), via Flickr  and Wikimedia Commons , cropped and resized, licensed under CC BY 2.0 .

Electronic trading builds its own hardware.

A market-data update arrives. A hardware pipeline interprets it, updates internal state, and contributes to an action. For teams developing financial hardware, improving that path requires more than fast logic. Engineers need to understand the RTL they are changing, its dependencies, and the evidence needed to release it.

Jane Street  publicly describes FPGA and ASIC engineering. Hudson River Trading  confirms that it develops custom logic for both in SystemVerilog. These are examples of sophisticated hardware development within electronic trading, where engineering tools deserve attention alongside runtime performance.

Understand the project around the change

A small change can cross a large design. Adding a field to an internal message may affect a decoder, shared types, downstream consumers, wrappers, and the testbench. Finding those relationships is part of the work.

Sigasi brings deterministic semantic analysis into the RTL workspace for SystemVerilog, Verilog, and VHDL. Project-aware references and contextual information help engineers investigate declarations and their use. Source-linked block diagrams provide another way to explore the implementation. That need is visible in the sector itself. HRT’s March 2026 article  describes its own open-source SystemVerilog language server and the value of navigation and immediate editor feedback. Its experience illustrates why these everyday development tasks deserve serious engineering attention.

Resolve source issues while the work is in progress

Sigasi reports supported language errors and configurable lint findings during editing. Engineers can investigate a missing declaration, an interface inconsistency, or a configuration problem while the change is still fresh. Project context matters. The same repository can contain FPGA and ASIC targets, simulation models, and several product variants. Sigasi’s Modular Projects represent targets and dependencies so teams can make the configuration under review explicit.

Connect faster iteration to the right evidence

Source checks, functional verification, and performance measurement answer different questions. A clean analysis result does not establish a correct risk check, a compliant trading system, or lower deployed latency. Simulation, formal verification where appropriate, implementation analysis, and hardware measurements remain part of the engineering flow.

Sigasi helps prepare the RTL for those activities. Licensed CLI workflows can repeat checks in automation. Where AI agents are approved, Sigasi’s MCP integration gives them access to project-aware diagnostics and exploration inside the running extension. Engineers review the proposed changes and decide what advances.

Preserve understanding as the design evolves

A productive workflow leaves the next engineer with more than a passing build. It leaves a clear configuration, understandable interfaces, and a reviewable change. Sigasi’s navigation, visual views, and source-derived documentation help teams maintain that continuity. Exported documentation should be regenerated and its explanatory comments reviewed as the source changes.

Request the fintech whitepaper for a detailed look at RTL development across market-data processing, risk-related logic, hardware/software integration, verification, and AI-assisted workflows. Then discuss your financial hardware project with Sigasi.

One semantic model over the whole project

Sigasi analyzes the whole project, not only the open file: hierarchy, types, scopes, dependencies, interfaces, and references across SystemVerilog, Verilog, and VHDL. This deep project understanding is makes every review of supplier, legacy, or AI-generated RTL a breeze.

  • 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
Explore all features

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)

Let your RTL team evaluate Sigasi

Evaluate Sigasi on a representative ASIC or FPGA project, on your own infrastructure.

Sigasi Visual HDL analyzing a mixed-language project in VS Code