Cableteque raises $6M to automate quoting for the $100B wire harness industry
What's the deal? CabletequeDealroom has a profile for this one. Try Dealroom → has raised US$3.88M seed round to scale its digital operating system for the wire harness industry. The round was backed by 11 Tribes VenturesDealroom has a profile for this one. Try Dealroom →, PHX VenturesDealroom has a profile for this one. Try Dealroom →, and Mudita VenturesDealroom has a profile for this one. Try Dealroom →.
What's the endgame? The Huntington Beach company replaces manual spreadsheets with automated workflows that bridge OEM engineering requirements and shop-floor manufacturing. Its Cableteque AI layer parses unstructured blueprints and PDF files into clean digital configurations and consolidates sourcing, supplier pricing, and labour estimation. The company says the platform cuts quote turnaround times by more than 70%.
Why now? The capital arrives during a period of fast growth. Cableteque reports 300% growth year-to-date and expects to double that volume by year-end, serving both small shops and tier-1 enterprises.
Why it matters: The wire harness industry underpins aerospace, automotive, and industrial electronics, yet over 74% of manufacturers say quoting remains entirely manual and too slow, and 83% encounter design errors when processing customer data.
Founder and chief executive Arik VrobelDealroom has a profile for this one. Try Dealroom → owned El-Com Systems for 35 years before selling it to AptivDealroom has a profile for this one. Try Dealroom → in 2021. "Our platform replaces tribal knowledge with automated intelligence," he said.
Investors point to the company's data advantage. "Cableteque has constructed a rare, highly defensible data moat in a massive market that software has traditionally ignored," said Chris Chumley, partner at PHX Ventures.
The signal: At $6 million, the round sits in roughly the 58th percentile for seed deals — a solid but not outsized raise. It reflects growing investor appetite for domain-specific AI tools aimed at overlooked industrial niches, where legacy manual processes leave room for measurable efficiency gains.
Read more: EIN Presswire
