Zenode
Zenode.ai provides an AI-driven electronic component search engine that lets engineers find parts using natural language across a database of 25 million components. The platform identifies drop-in alternatives with match scoring, extracts datasheet specifications into comparison tables, and offers a REST API and MCP server for integration into engineering workflows.
- Artificial Intelligence
- Software Only
- AI Agents
- Developer Tools
Funding
Founders
Founder details are not available yet.
Product
Problem
Electronics engineers often face challenges locating components when they don't have exact part numbers or when they need to identify alternatives for obsolete or unavailable parts. Traditional search methods require precise manufacturer part numbers, which slows down design and procurement processes. Finding functionally equivalent replacements also requires manually comparing datasheets across suppliers, which is time-consuming and error-prone.
Solution
Zenode.ai provides an AI-driven component search engine that lets engineers describe what they need in plain language and get accurate part recommendations across millions of components. The platform searches over 25 million parts and returns answers grounded in real datasheets and technical documentation, ensuring reliability. Users can search by description, look up specific parts by manufacturer part number, find drop-in alternatives, and identify space-grade components. A Deep Dive feature extracts specifications from datasheets into tabular format for multiple parts at once, enabling efficient cross-part comparisons.
Target Audience
Electronics engineers, hardware designers, and procurement teams who need to identify components, find alternatives, or extract specifications efficiently across large part catalogs.
Features
- Natural language search across 25M+ components with AI-grounded answers from datasheets and technical specs
- Drop-in alternative identification with match scoring across functionality, specifications, pinout, package, price, availability, and lifecycle status
- Space-grade part detection with a 🚀 flag in search results
- Deep Dive / Research Table feature that reads datasheets to fill in requested data points across multiple parts in a single pass
- Charting capabilities for plotting specifications such as Rds(on) vs price or gain vs noise figure for part families
- REST API and Model Context Protocol (MCP) server for integration into external applications, AI agents, and engineering workflows