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Stillwind

Stillwind offers a natural‑language search engine, Stillwind Search, that converts plain‑text queries into detailed specifications and matches them against a proprietary database of millions of electronic components. The platform also provides real‑time digital simulation, machine‑learning‑based analog circuit modeling, and firmware‑in‑the‑loop capabilities, enabling engineers to instantly evaluate and validate parts within their designs.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Electrical engineers and embedded developers spend significant time manually searching through extensive component catalogs and performing iterative simulations to verify designs, which slows development cycles and increases the risk of selecting unsuitable parts.

Solution

Stillwind provides a natural‑language search engine, Stillwind Search, that translates plain‑text queries into detailed component specifications and matches them against a proprietary database of millions of electronic parts. The platform extends beyond part discovery with real‑time digital simulation, machine‑learning‑based analog circuit modeling, and firmware‑in‑the‑loop capabilities, enabling engineers to instantly evaluate component behavior within their designs. By integrating spatial reasoning intelligence, Stillwind helps automate the selection and validation steps required for autonomous electrical engineering workflows.

Target Audience

Primary customers are electrical engineers, hardware designers, and embedded software teams who need fast, accurate component selection and immediate simulation feedback during product development.

Features

  • Natural‑language query interface that generates fine‑grained part specifications from simple text input
  • Proprietary indexed database covering millions of electronic components with up‑to‑date parametric data
  • Real‑time digital simulation loop for rapid trial‑and‑error testing of circuit changes
  • Machine‑learning models for fast, accurate analog circuit behavior simulation
  • Firmware‑in‑the‑loop environment that allows embedded software to be tested alongside hardware models
  • Spatial reasoning engine that assists in component placement and connectivity decisions within schematics
This profile is AI-generated and may contain inaccuracies.