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CELUS

CELUS provides an AI-powered engineering platform that transforms design requirements into complete electronic schematics and bills of materials. The platform connects live component data from manufacturers via MCP, enabling automated part recommendations that are specified directly into designs. It integrates natively with Altium, Cadence, Siemens, Fusion, and KiCad for seamless handoff.

Traction 10/10
Munich, Germany · HQ
Founded 20189820K+ followers
  • Artificial Intelligence
  • AI Agents
  • Developer Tools
  • Enterprise Software
  • Hardware
  • Industrial Automation
  • Software Only
Updated 2 months ago

Funding

Raised to date

€26.7MRaised 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.

Est. $29.1M

across 2 rounds

CPDC+6

€25M · Series A

Announced Jul 2022 · from article date

Disclosed cumulative: $29.1M

2/2

Founders

3 founders

André Alcalde

Co-Founder/CEO

Since Oct 2023 · 3 yrs 1 mo

Profile summary: Intel Corporation

Tobias Pohl

Co-Founder & CEO

Since Feb 2018 · 8 yrs 9 mos

Profile summary: Technische Universität München, MS (M.Sc.) Automotive Engineering TUM

Alexander Pohl

CTO and Co-Founder

Since Feb 2018 · 8 yrs 9 mos

Profile summary: Universität der Bundeswehr München, MS (M.Sc.) Management TUM

Product

Problem

Electronics design engineers spend significant time manually selecting components, verifying specifications, and ensuring parts meet lifecycle and supply chain requirements. This process is error-prone, often relies on outdated or incomplete component data, and delays design completion when parts are specified too late in the workflow.

Solution

CELUS provides an AI-driven engineering platform that captures design intent through a structured question-and-answer process and automatically generates reference schematics with complete bills of materials. The platform connects to manufacturers' live component data through MCP, ensuring that every recommended part reflects current specs, stock levels, and lifecycle status. Engineers retain full control, as every block, part, and decision remains editable throughout the process. The final output opens natively in major EDA tools, allowing teams to move from requirements to a ready-to-use design without manual data entry or guesswork.

Target Audience

Primary users are electronics design engineers and hardware teams in industrial, automotive, and consumer electronics sectors who need faster, more reliable component selection and schematic generation.

Features

  • Intent-capture assistant that asks sequential questions to fully define design requirements before generating solutions
  • Automated matching of trusted reference designs to requirements, with all components and decisions left open for modification
  • Live component data integration via MCP, providing real-time specs, stock, price, and lifecycle information from manufacturers
  • Automatic part specification into the schematic, not just suggestion lists, ensuring components are written directly into the design
  • Native export and handoff to Altium, Cadence, Siemens, Fusion, and KiCad
  • Orchestrator architecture with specialized agents for intent capture, design planning, checking, verification, and alternative component sourcing
This profile is AI-generated and may contain inaccuracies.