A customer arrives with a part they need to replace. Another sends a BOM with dozens of line items with missing manufacturer names and wants alternatives across all of them. A third asks how two devices compare across temperature ranges. And somewhere in between, you are expected to stay across new releases and shifting specs from hundreds of manufacturers. Each one demands fast, accurate, structured data across a catalogue no one person can hold in their head.

Partlake gives you that foundation through structured, normalised data across 200+ manufacturers and 500,000+ datasheets, always current. Cross-reference and comparison tools built in and ready to go, and MCP so your AI tools can query Partlake data directly.

When a customer shares a BOM, upload it in any format, apply cross-reference rules, and get back a structured, normalised result with every line item identified, alternatives ranked, and manufacturers specified. What used to take hours takes minutes.

Compare any two devices side by side across parametric data and figure overlays and see exactly how they behave across temperature, voltage, or current in a single view. The kind of answer that wins a customer's confidence on the spot.

Via our MCP interface, your AI tools can query Partlake's entire dataset directly. Our entire business is getting the data gathering right so you can focus on the customer.