# JITX

> JITX is a Berkeley- and San Jose-based software company building a code-driven, AI-assisted platform for circuit board design. Instead of dragging parts around a canvas by hand, electrical engineers describe what a board must do in code, and JITX selects components, places parts, routes traces, and checks the design against electrical, mechanical, and manufacturing rules. Spun out of UC Berkeley and backed by Y Combinator and Sequoia Capital, the company is used by hardware teams at firms like Honeywell Aerospace, Lockheed Martin, Northrop Grumman, OpenAI, and HP, who report 5-20x productivity gains on complex multi-layer designs.

- **Founded:** 2018
- **Headquarters:** San Jose, California, United States
- **Founders:** Duncan Haldane (Co-founder & CEO), Jonathan Bachrach (Co-founder & Chief Scientist / Engineering Leader), Patrick Li (Co-founder & Advisor)
- **Team size:** Approximately 12-15 employees
- **Products:** JITX platform, AI-assisted design, Constraint-driven autorouting, Simulation integration, Open Components Database & JSL
- **Notable:** Raised a $12M Series A led by Sequoia Capital in September 2022, Graduated from Y Combinator (Summer 2018), Adopted by aerospace, defense and tech leaders including Honeywell, Lockheed Martin, Northrop Grumman, OpenAI and HP

## Products & services

- **JITX platform** — A code-driven electronic systems design environment where engineers express board requirements and constraints as code, and the tool automatically selects components, assigns pins, plans placement, routes traces and exports manufacturable designs.
- **AI-assisted design** — AI methods using learned heuristics and clever representations to solve hard sub-problems across electrical, mechanical and manufacturing constraints, including AI that can write and debug design code from component datasheets.
- **Constraint-driven autorouting** — A code-based constraint system for signal integrity and board-level rules; the router generates layouts that meet specifications rather than just flagging violations. A topological autorouter reportedly achieves up to 33% higher routing density.
- **Simulation integration** — Closed feedback loops with Ansys HFSS for electromagnetic validation, letting AI run simulations, read results and update the design - e.g. detecting missing termination in memory designs.
- **Open Components Database & JSL** — Open-source component models built on the Electronic Systems Intermediate Representation (ESIR) standard, plus the JITX standard library of land-pattern/symbol generators, protocols and power-system solvers.

## Achievements

- Raised a $12M Series A led by Sequoia Capital in September 2022
- Graduated from Y Combinator (Summer 2018)
- Adopted by aerospace, defense and tech leaders including Honeywell, Lockheed Martin, Northrop Grumman, OpenAI and HP
- Reported customer productivity gains of 5-20x on complex multi-layer boards
- Developed the open-source ESIR standard for DARPA's Electronics Resurgence Initiative
- Migrated its design language to Python (launching Q4 2025) to better support AI-written design code

## Latest updates

- **2025-Q4** — JITX migrates its front-end design language from a custom DSL to Python and launches the Python version, enabling tighter tooling integration and AI-written design code.
- **2025** — New constraint-driven autorouter, Ansys SI optimization loops, interactive RF via-fence generation, and a topological autorouter achieving up to 33% higher package routing density.
- **2022-09** — Announced general availability and a $12M Series A led by Sequoia Capital.

## Links

- Website: https://www.jitx.com
- LinkedIn: https://www.linkedin.com/company/jitx
- Twitter/X: https://twitter.com/jitxsoftware
- GitHub: https://github.com/JITx-Inc

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Last updated: 2026-06-14