AIDAChip offers an AI‑native operating system that unifies the entire chip design lifecycle, centralizing specifications, simulations, layout, and verification in a shared knowledge graph. AI‑driven coordination agents automatically propagate changes, generate testbenches, and schedule simulations, cutting tape‑out cycles and reducing engineering overhead for analog, digital, and mixed‑signal projects.
Funding
Funding not disclosed
Founders
Product
Problem
Silicon projects suffer from fragmented EDA workflows where specifications, simulations, layout, and verification are managed in isolated tools and manual handoffs. This disjointed process leads to spec misalignment, extensive coordination overhead, and up to 70 % of failures traced to mismatched requirements across analog, digital, and mixed‑signal domains.
Solution
AIDAChip delivers an AI‑native operating system that unifies the entire chip design lifecycle, continuously aligning design intent, execution artifacts, and accumulated knowledge. By ingesting specifications, simulation results, and verification data into a shared knowledge graph, the platform automatically propagates changes across all disciplines, eliminating manual re‑entry and reducing error propagation. Integrated AI agents handle routine coordination tasks—such as corner‑case simulation setup, testbench generation, and status reporting—freeing engineers to focus on high‑value architecture work. The system exposes a unified API that synchronizes with existing EDA suites, enabling seamless adoption while compressing typical 12‑month tape‑out cycles to under six months and doubling engineering leverage for smaller teams.
Target Audience
The primary customers are semiconductor design organizations—fabless ASIC houses, mixed‑signal IP vendors, and design service firms—that run complex analog/digital projects and need tighter cross‑team alignment.
Features
- Centralized intent repository with real‑time diff tracking and automatic propagation to simulation, layout, and verification tools
- AI‑driven coordination agents that schedule corner simulations, generate testbenches, and update design specifications without human intervention
- Cross‑disciplinary knowledge graph that captures design decisions, rationale, and verification outcomes for instant reuse and auditability
- Unified dashboard offering live status, bottleneck alerts, and predictive risk analytics powered by machine‑learning models
- Plug‑and‑play integrations via REST and gRPC APIs for leading EDA platforms (Cadence, Synopsys, Mentor) and version‑control systems (Git, Perforce)
- Methodology enforcement engine that validates compliance with company design rules and industry standards throughout the flow
- Secure, role‑based access control and end‑to‑end encryption to meet IP protection and confidentiality requirements