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Sigasi, the semantic control layer

AI is Probabilistic. Sign-off is deterministic.

How to integrate AI safely into RTL development — without compromising engineering discipline.

The Challenge

AI-assisted coding is rapidly entering HDL development. Modern AI tools can:

  • Generate RTL from prompts
  • Refactor modules
  • Suggest fixes
  • Even construct UVM structures

But AI does not understand:

  • Your complete project hierarchy
  • Mixed-language boundaries
  • Library mappings
  • Configuration state
  • Enterprise governance constraints

Hardware projects require reproducibility. And reproducibility is deterministic.

The Architectural Reality: Quantity vs Quality

AI generation → HDL refinement → Deterministic validation → Repeat

If validation of large amounts of AI-generated RTL is slow, disconnected, or non-deterministic, the development loop stalls and engineering/verification will spend more time, not less.

If validation is fast, project-aware and reproducible, then AI acceleration becomes practical.

This webinar explores the missing layer in AI-driven RTL workflows: deterministic semantic control.

What You’ll Learn

In this webinar, we will cover:

  1. How AI is being used in HDL development today
  • IDE-integrated AI assistants
  • Prompt-driven RTL generation
  • Human-in-the-loop systems
  1. Tools vs Agents
  • What an agentic workflow actually means
  • Why your HDL workspace is not an “agent”
  • The role of deterministic tools inside agentic systems
  1. What Goes Wrong Without Determinism
  • Structural issues in generated code
  • Hidden semantic inconsistencies
  • Integration surprises
  1. Deterministic Semantic Validation as the Control Layer
  • Project-aware diagnostics
  • Reproducible feedback
  • Safer integration of AI-generated RTL
  • Enterprise-ready deployment models (including local AI setups)

Who Should Attend

  • FPGA and ASIC design engineers
  • Verification engineers
  • Engineering managers and verification leads evaluating AI adoption
  • Teams experimenting with Copilot, Codex, AntiGravity or local LLM deployments
  • Organizations operating in regulated or safety-critical domains

Our Position

Sigasi is not and will not be an AI platform. AI is optional. Sigasi’s deterministic validation at interactive speed is mandatory.

Sigasi provides a deterministic semantic HDL workspace that validates AI-generated RTL in full project context and mixed-language for complex FPGA & ASIC Programs.

Accelerate with AI. Validate with determinism.

Join us for this practical, architecture-level discussion on integrating AI into professional HDL workflows.

Our hands-on support engineers, with extensive FPGA and ASIC design and verification experience, are happy to show how “shift-left” is done in our “AI in Chip Design” webinar on Wednesday, 24th of March, at 9:00AM CET/1:30PM IST/5:00PM JST and at 9:00AM PST/12PM EST/6PM CET. Book your seat in our webinar now and learn how to safely introduce AI generated code in your design. Select your preferred time on the form below by clicking on the v and register now.

2026-02-25, last modified on 2026-02-25