Platform Features
From natural language to production-ready RTL. One platform, fully automated, built for hardware engineers.
The Pipeline
Each stage is powered by specialised AI agents that generate, review, and refine — delivering production-quality output at every step.
Natural language briefs into structured, testable requirements
Subsystem decomposition with clock/reset domains and interconnects
Top-down IP decomposition with intelligent reuse
Ports, registers, state machines, CDC plans, timing constraints
IEEE 1666-compliant functional models for early validation
Lint-clean, synthesizable SystemVerilog with Verilator refinement
Test plans, coverage goals, and VIP selection
Complete UVM environment — agents, drivers, monitors, scoreboards
Design Intelligence
AI-powered requirements management, spec processing, and full design traceability — from first brief to final deliverable.
AI-generated requirements from product briefs. Approval workflows, version tracking, bulk operations, and acceptance criteria.
Upload PDF datasheets and specs. AI-powered extraction, structure indexing. PDF, TXT, MD, DOCX support.
Capture intent across all stages. Link decisions to requirements. Full traceability from requirements to RTL to testbench.
SystemRDL 2.0 automated register maps. Field-level definitions, interrupt registers, overlap validation.
Syntax-highlighted SystemVerilog with Monaco. File tree navigation, iteration history, inline Verilator results, code diffs.
PDF documentation, RTL ZIP bundles, Markdown requirements, Git auto-commit, full traceability matrix.
Intelligence
AI extracts intent from your product brief — explicit, implied, and silent gaps — then adapts every downstream stage to match your priorities.
Reliable, bug-free operation. Formal requirements, exhaustive verification, and coverage closure.
Fewer blocks, reduced complexity. Merge related logic, coarser granularity, simpler access patterns.
Small silicon footprint, minimal routing overhead. Compact encodings, minimal block count.
Low energy consumption. Power domain grouping, clock gating, burst-and-sleep buffer sizing.
High throughput, low latency. Fine-grain parallelism, larger buffers, separate data/control paths.
Priorities flow through every stage — from requirements to architecture to RTL. Reviewers calibrate severity based on your goals.
Libraries
Industry-standard protocol support and a library of verified primitives — CDC synchronizers, FIFOs, arbiters, and more.
Quality
A 5-layer validation framework with human-in-the-loop approval, creator-reviewer AI patterns, and iterative refinement.
Review and approve AI outputs at every stage. Quality gates, audit trails, per-requirement and per-stage approval with notes.
Every stage runs generate → review → revise loops. Up to 3 iterations with severity-classified findings. Graceful degradation.
5-layer validation. Protocol compliance (8 checks). Verilator iterative refinement (3-5 iterations). Quality reports with full traceability.
>95% functional coverage. >90% code coverage. Automated coverage-driven verification closure.
AI crews report and resolve issues during execution. Human review at every stage. Full visibility into what was found, fixed, and flagged.
Standards
Every output is validated against the standards your team already works with.
Your Workflow
A full-featured web interface for visual control, or a powerful CLI for engineers who live in the terminal.
Full-featured frontend for project management, pipeline control, real-time monitoring, requirements editing, RTL code viewing, and live progress tracking.
Power-user command line. Manage briefs, run AI crews, track executions, configure projects, view logs — all from the terminal. Scriptable and CI/CD ready.
Enterprise Ready
On-premises, cloud, or hybrid. Multi-LLM support, Git integration, role-based access, and enterprise-grade security.
On-premises (Docker), cloud (AWS, GCP, Azure), or hybrid. Kubernetes ready. 99.9% uptime architecture.
JWT auth, role-based access, encrypted API key storage, protected downloads. On-premises for sensitive IP.
OpenAI, Anthropic, Google models. Per-project configuration. Encrypted key storage. Choose the best model for each task.
GitHub, GitLab, Gitea. Auto-commit on approval. Branch selection. Custom paths. Encrypted tokens.
Multi-user projects with role-based access. Owner, editor, viewer roles. Project search, filtering, and status tracking.
WebSocket live updates. Stage-by-stage progress. Activity logs, token usage, cost tracking, and completion estimates.
Performance
Designed for speed at every scale — from simple peripherals to full SoCs.
Join the engineers designing hardware at the speed of thought.
Get Early Access