Features
14+ specialist agents for UVM, SVA, coverage, RAL, RTL, convergence
Automatic compile-simulate-fix convergence loops
Brain Cache persistent knowledge graph (spec, ports, coverage state)
Auto-generates Makefiles, configs, compile scripts for any EDA stack
Supports Cadence, Synopsys, Siemens, AMD/Xilinx, open-source simulators
Zero data retention policy (IP stays yours)
Interactive CLI agent (sigmanticai> prompt)
Private AI model training on proprietary RTL
Multi-agent design reviews and verification planning
Coverage closure automation (target 90%+)
Specification-to-RTL extraction (Phase 3)
Reads RTL, generates test infrastructure, debugs failures
Works with Questa, VCS, Xcelium, Verilator, ModelSim, Icarus, XSIM
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
