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Cadstrom

Cadstrom offers an automated validation platform that analyzes PCB schematics, component datasheets, and SPICE simulations to detect thousands of electrical issues that manual checklists often miss. By delivering deterministic, human‑readable reports based on industry best‑practice rules, it integrates with existing EDA tools to speed up design reviews, cut costly respins, and give hardware teams confidence in their releases.

Montréal, CA,USFounded 202313700+ followers
Updated 2 months ago

Funding

$6.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

1OBV
Funding rounds are not available yet.

Founders

Product

Problem

Electrical design teams often rely on manual checklists and fragmented tools, causing critical schematic and component‑level errors to be missed until after a PCB is fabricated. These undetected issues lead to costly respins, schedule delays, and reduced confidence in hardware releases.

Solution

Cadstrom provides an automated validation platform that analyzes PCB designs for thousands of electrical details that typical design reviews overlook. By parsing schematics, datasheets, and simulation models, the tool generates deterministic validation reports highlighting violations of best‑practice rules and potential functional failures. Engineers receive structured insights without relying on opaque AI models, enabling faster design reviews and reducing the risk of expensive respins. The platform integrates into existing EDA workflows, allowing teams to run checks early and often, and to document compliance for downstream stakeholders.

Target Audience

Cadstrom is aimed at hardware engineering teams, PCB designers, and verification engineers in sectors such as medical, industrial, and consumer electronics who need reliable, repeatable design reviews.

Features

  • Automated analysis of schematics, component datasheets, and SPICE simulations to catch functional errors before fabrication
  • Rule‑based validation engine reflecting industry best practices for medical, industrial, and consumer hardware
  • Deterministic, human‑readable validation reports that replace ad‑hoc checklists
  • Seamless integration with common EDA tools and design pipelines for continuous verification
  • Secure, transparent processing with no proprietary AI black‑box components
  • Scalable checking of thousands of electrical details per design, reducing manual effort
This profile is AI-generated and may contain inaccuracies.