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.
Autonomy level
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.
Data origin
Where the intelligence comes from.
Chipmind combines proprietary training data with your design context — while keeping your IP fully under your control.
Pre-trained
Chip-Trajectory Datasets
Thousands of hours of proprietary agent-debugging trajectories. This is how Chipmind learns to navigate EDA toolchains, interpret logs, and reason about design flows — before ever touching your data.
Per customer
Context Engineering
Chipmind ingests your complete design files, hierarchies, and constraints. Custom ACE (Adaptive Context Engine) dynamically retrieves the most relevant context for each task — no fine-tuning required.
Continuous
Chipact Methodology
Agents directly execute EDA tools, analyze logs and waveforms, and learn from results. The longer Chipmind works with your flow, the better it gets at your specific design patterns.
Your environment
Customer Data
Design files, PDKs, constraints, tool configs
context →
← results
Chipmind
Agent + Trajectory Data
Pre-trained on proprietary chip-design trajectories
All processing happens on-prem or in your VPC. Chipmind never stores design data beyond the active task.
How it works under the hood.
Browser-based UI. On-prem backend. HPC-ready. LLM-agnostic.
Browser
User Interface in Webbrowser
No installation per user
Server on-prem
Chipmind Agents Backend
API / MCP / SSH ↕
HPC / EDA-HPC
On-prem HPC Cluster
EDA Tool Execution
P&R, DRC/LVS
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 fully isolated execution environments. Connects to your design flow and codebase via API/MCP/SSH.
HPC-ready
Agents dispatch EDA jobs directly to your HPC cluster — synthesis, simulation, place & route, DRC/LVS. No separate integration layer needed.
LLM-agnostic
Connects to local open-source models or commercial APIs. No lock-in to any AI provider.
Confidential by design
Isolated execution for every agent task.
Every Chipmind Agent runs inside a contained, ephemeral execution environment. Design data is loaded per task, processed in isolation, and cleaned up on completion. No persistent access. No cross-project leakage.
Containerized EDA execution
Agent tasks execute inside isolated containers with access only to the specific design files and EDA tools required for that task. Each container is ephemeral — spun up on demand, destroyed on completion. No shared state between tasks or projects.
Network isolation & access control
Execution environments have no outbound network access by default. Design files are mounted read-only where possible. Write access is scoped to task outputs only. All file access is logged for audit.
EDA tool containment
EDA licenses and tool binaries are accessed through controlled interfaces — API, MCP, or SSH tunnels. Agents never have direct access to your license server or shared tool installations. Tool invocations are contained and rate-limited.
Audit & compliance
Every agent action produces a tamper-evident audit log: files read, commands executed, tools invoked, results produced. Logs are retained in your environment and exportable for compliance review (SOC 2, ISO 27001, customer-specific frameworks).
Deployment security guarantees
Zero retention
Design data is never stored beyond the active task. No training on your IP.
NDA from day one
Every engagement starts under NDA. EU-based, GDPR compliant by default.
Air-gap ready
Full on-prem deployment with local LLMs. No internet connection required.
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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