The AI agent platform your chip design flow has been waiting for.

Chipmind Agents execute real design and verification tasks — autonomously, in-flow, SoC-wide. Not a chat window. Not a code suggester. An agent that works.

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// RTL Draw — Block Diagram

┌─────────────────┐

│ SoC Top Level │

├────────┬────────┤

│ CPU │ APB │

│ Core │ Bus │

├────────┴───┬────┤

│ Timer_1 ✓ │ Timer_2 ← NEW

└────────────┴────┘

[ Interactive ] [ Export ] [ RTL Diff ]

A real task. Start to finish.

14× faster — here's exactly what happened.

An engineer needed to add a second timer peripheral to an existing SoC, connect it to the APB bus, and update all testbenches. This is what the task looked like with and without Chipmind.

Without Chipmind — ~4 hours

30 minRead existing peripheral code to understand the pattern
45 minWrite new RTL module by hand, matching house conventions
15 minUpdate APB bus decoder manually
40 minExtend testbenches for the new peripheral
50 minRun simulation, debug failures, iterate
20 minUpdate register map and documentation
Total: ~4 hours

With Chipmind — 18 minutes

0:30Engineer types: "Add timer_2 to the SoC, same pattern as timer_1, connect to APB, update testbenches."
2:00Agent reads entire SoC hierarchy, identifies the existing timer pattern and bus structure
5:00Agent generates RTL module following house conventions, updates APB decoder
9:00Agent extends testbenches automatically
15:00Agent runs simulation, catches and fixes two lint errors autonomously
18:00PR opened with full audit log, register map, and diff view
Total: 18 minutes14× faster

Based on an actual PoC engagement. Junior Digital IC Design Engineer, European Semiconductor Company.

Two modes. One platform. Zero disruption.

Drop into your existing environment — no rearchitecting required.

MODE 1

Interactive GUI

Work with your agents in real time. The Chipmind interface runs in your browser — no installation per user. Agents understand your design, plan tasks visually, and execute them while you stay in control.

  • →Task Planner UI — visualize what the agent is doing and why
  • →RTL Draw — interactive block diagrams and FSMs
  • →VS Code integration — stay in your existing IDE
  • →Chat-based control with full audit trail
[ Task Planner Cutout ] [ RTL Draw Screenshot ]

MODE 2

Autonomous Workers

Assign tasks via GitHub/GitLab issues or @mention. Chipmind Agent Workers solve them in the background — creating specs, executing code, running verification — and report back with a PR.

Workflow:

Issue / @mention → Agent starts → Creates spec → Executes task → Opens PR → Reports back

  • →Headless execution — runs in background
  • →Event-triggered — responds to issues, commits, CI/CD
  • →Interoperates via MCP and ACP
  • →GitHub, GitLab, VS Code integrations

Whatever slows you down — Chipmind can take it on.

From RTL generation to verification, documentation to refactoring.

RTL Code Generation

  • ·Fix bugs
  • ·Write bus interfaces
  • ·Generate modules and blocks
  • ·Change registers and interrupts
  • ·Create example embedded SW

Verification

  • ·Create C tests
  • ·Update testbenches
  • ·Create DV environments
  • ·Run simulation loops
  • ·Update existing tests

Documentation & Visualization

  • ·Generate block diagrams
  • ·Create register descriptions
  • ·Write and update documentation
  • ·Generate visual reports

Refactoring & Maintenance

  • ·Translate VHDL to SystemVerilog
  • ·Explain legacy code
  • ·Handle IP-XACT and SystemRDL
  • ·Apply coding guidelines

Integration & Flow

  • ·Create new toplevel
  • ·Set up trial synthesis
  • ·Integrate peripherals
  • ·Setup CI/CD hooks
  • ·Integrate external IP

Adaptation

  • ·Apply coding guidelines
  • ·Migrate to new interfaces
  • ·Auto-customize to environment
  • ·Apply house style

Your IP never leaves your environment. Unless you want it to.

Three deployment options — choose what fits your security requirements.

Option A — Cloud

Azure/AWS with enterprise data privacy. Private endpoint ensures your design data is never used for model training.

Option B — Your VPC

Customer-owned VPC running local LLMs. Chipmind provides full setup and configuration.

Option C — On-Prem GPU

Local LLMs running on your own GPU infrastructure. Full air-gap capability for maximum IP protection.

[ Architecture Diagram: Browser ↔ Server on-prem (Backend + Sandbox) ↔ VPC/Cloud (LLM) ]

What engineers say after their first week.

6x faster

46 min → 7 min

"Chipmind Agents know my tool in and out. I can get the same thing done in 4 minutes with just 3 prompts."

— Senior Verification Engineer, Semiconductor Company

14x faster

4 hours → 18 min

"The agents generated all the RTL, extended the testbenches, and ran the simulation successfully."

— Junior Digital IC Design Engineer, European Semiconductor Company

4x faster

21 min → 5 min

"With Chipmind Agents this became a matter of a couple of prompts."

— Application Engineer, Digital Chip Design Service Company

Works with the tools your team already uses.

EDA-tool agnostic. If it has a scripting interface, Chipmind can use it.

EDA Toolchains

Synopsys Design CompilerSynopsys VCSCadence GenusCadence XceliumSiemens QuestaSiemens CalibreVivadoVerilatorIcarus VerilogOpenROADModelSimCustom in-house flows

Development Environments

VS CodeGitHubGitLabJiraConfluence

Don't see your tool? Contact us → — we've integrated with over 12 EDA environments in production.

Technical questions, answered.

For the senior engineers and architects evaluating Chipmind.

How does the agent actually access our design files?+

Chipmind deploys a lightweight orchestration layer in your environment (on-prem, VPC, or cloud). It connects to your VCS (Git, SVN, or Perforce), reads the relevant RTL and configuration files per task, and cleans up access on task completion. No permanent copy of your design is retained.

What happens if the agent makes a wrong decision in the flow?+

Every agent action produces a full audit trail — what was read, what was planned, what commands were executed. Results are always returned as a reviewable PR or report, never auto-committed to main. Engineers review and approve. The agent can also be configured to pause and ask for confirmation at defined decision points.

How does Chipmind handle PDK and foundry-specific constraints?+

Chipmind Agents are PDK-aware. During PoC setup, foundry PDKs and technology-specific constraints are added to the agent's context pool. Agents apply these constraints automatically during RTL generation, synthesis preparation, and DRC-aware tasks.

Can one agent instance serve multiple projects / teams simultaneously?+

Yes. The multi-agent architecture supports concurrent execution across different projects, design hierarchies, or teams. Access controls and context isolation ensure agents working on Project A have no visibility into Project B.

How long does integration into an existing flow take?+

Typically 1–2 days for the initial integration during a PoC. Chipmind's team handles the setup — VCS connection, EDA tool integration, HPC connector. No internal DevOps or ML resources are required from your side.

What's the LLM dependency — do we have to use a specific provider?+

Chipmind is LLM-agnostic. We support commercial models (GPT-4, Claude) via private endpoints, as well as open-source models (Llama, Mistral variants) running locally. For air-gapped deployments, we help you configure and optimize a local model for your specific EDA tasks.

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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