Not another LLM wrapper. A chip-native agent architecture.
Chipmind is built from the ground up for the realities of chip design: massive codebases, complex EDA toolchains, multi-layer hierarchies, and the need for deterministic, auditable behavior.
Our roadmap: from task agents to autonomous chip engineers.
Like autonomous driving has ADAS levels, AI chip design has autonomy levels. Most tools on the market are still at L1. We're at L2/L3 today.
Where we are today: Chipmind operates at L2/L3 — autonomous task and design agents, with engineer-in-the-loop control.
Competitors
AI suggestions and code generation. Single-step execution. Human approves every change.
AI suggests SystemVerilog for a custom I2C controller, fixes syntax errors.
✓ Chipmind today
Autonomously solves specific design or verification tasks. Executes EDA tools. Human reviews results.
Engineer asks to add a second timer peripheral — agent creates spec, generates RTL, updates testbenches.
✓ Chipmind today
Creates and modifies IP blocks. Sub-agents collaborate. Solves surgical tasks in large designs.
Engineer asks for an MCU with UART, SPI, GPIO — AI generates RTL for each, integrates into SoC.
Roadmap 2027–28
Architectural and system-level decisions. Orchestrates end-to-end flows from high-level goals.
Engineer says: 'Design a low-power MCU with RISC-V core, 256KB SRAM, Wi-Fi' — AI decides tradeoffs.
Vision 2030
Fully autonomous and self-improving. Spec-to-tapeout with minimal human intervention.
AI receives 'longest battery life MCU for use case A' — invents architecture, optimizes, tapes out.
Why chip design demands a different kind of AI.
Six principles that make Chipmind different from every other agent on the market.
Real-world task focused
Agents are trained and evaluated on actual chip design tasks — not synthetic benchmarks. Every capability maps to a real workflow engineers deal with daily.
In-house data generation
We generate task data together with our customers. Customers own that data at the end. No training on your proprietary designs without explicit consent.
Flow-aware, not IDE-bound
Chipmind understands EDA toolchains, not just HDL syntax. Agents operate across the full design flow — from specification to RTL to synthesis.
SoC-wide and holistic
Context spans the entire design: hierarchies, cross-file dependencies, tool outputs, past decisions. No other agent reasons at this level of scale.
Visual intelligence
Spatial reasoning over block diagrams, FSMs, and RTL structures. Agents can generate, interpret, and navigate visual design representations.
No hyperscaler dependency
Tool-agnostic, LLM-agnostic. Runs wherever you need it — Azure, AWS, your own VPC, or fully on-prem GPU infrastructure.
How it works under the hood.
Browser-based UI. On-prem backend. LLM-agnostic.
Browser
User Interface in Webbrowser
No installation per user
Server on-prem
Chipmind Agents Backend
API / MCP / SSH ↕
VPC / on-prem / Cloud
LLM
Local Open Source or Commercial API
(Anthropic, OpenAI, Google)
Browser-based UI
No installation per user — runs on any machine with a browser. Websocket connection to on-prem backend.
Server on-prem
Chipmind backend runs on your infrastructure with full sandboxing. Connects to your design flow and codebase via API/MCP/SSH.
LLM-agnostic
Connects to local open-source models or commercial APIs. No lock-in to any AI provider.
Backed by institutions that understand deep tech.
ETH Zürich
Scientific partnership and access to world-class chip design and AI research
NVIDIA Inception
Part of NVIDIA's startup program for AI companies
CHIPS-JU
EU-backed Joint Undertaking for European semiconductor sovereignty
Innosuisse
Swiss innovation agency
European Innovation Council
EU funding for breakthrough deep-tech companies
Microsoft for Startups
Cloud and development infrastructure
See Chipmind
in action.
We work in your environment, with your EDA tools, on your real designs. No ramp-up. No disruption. NDA protected from day one.
- ✓6–14× speed-up on real tasks
- ✓IP stays in your environment
- ✓EDA-agnostic. No new licenses.
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