Silkline, a Seattle-based startup that builds AI software for advanced manufacturing supply chains, has raised $4 million in seed funding to accelerate new capabilities and reach more hardware companies navigating multi-supplier sourcing and tight production timelines.
Founded in 2023, Silkline has been steadily building software that takes the grind out of procurement for hardware manufacturers. Its tools use artificial intelligence to handle tasks that often slow production, such as sending and managing requests for quotes and purchase orders, allowing supply teams to move faster with fewer errors. With the new funding, the Seattle startup plans to accelerate its product roadmap and strengthen its footprint in industries where timing and precision matter most, including aerospace, energy, defense, and robotics.
“Supply chain teams in advanced manufacturing are struggling with missed production deadlines, RFQ-to-order management, and increasing demands from their customers,” said Isaac Chambers, Silkline’s co-founder and CEO. “This round of funding helps Silkline deliver more AI capabilities and reach further into the advanced manufacturing market so all modern hardware companies can experience a fully connected supply chain.”
Silkline: Traction and customers
Silkline’s customers include Helion Energy (Everett, Wash.), Starfish Space (Tukwila), and Portal Space (Bothell). In July, the company projected it would triple revenue in 2025; since then, it reports fivefold year-over-year growth. A notable driver, according to Silkline, is a “network effect”: 20% of new customers come from suppliers who first received a Silkline-generated RFQ.
Round details
The seed round was led by Origin Ventures, with participation from Forward Deployed VC, 25madison, Matchstick Ventures, Barrel Ventures, and Plow Ventures. Silkline currently employs five people.
Advanced manufacturing programs often hinge on orchestrating dozens (or hundreds) of parts across a fragmented vendor base. The promise of Silkline’s platform, automating RFQs, standardizing POs, and tightening feedback loops between buyers and suppliers, targets the chronic delays and cost overruns that can derail production schedules.
The reported network-effect dynamic (suppliers converting into platform customers) hints at a route to scale inside a traditionally relationship-driven procurement ecosystem.
With new capital in hand, Silkline plans to expand its AI features and broaden market reach among “modern hardware companies,” aligning with its push for a “fully connected supply chain.”
Also Read: Mira Murati’s $12B Bet: Making Frontier AI A Tool Anyone Can Use
