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Krane Raises $9M to Automate Construction Supply Chains with AI

Glasswing and Link Ventures co-lead seed round for AI-native platform managing $15B in active projects, tackling procurement inefficiencies in $13T construction industry.

Krane Raises $9M to Automate Construction Supply Chains with AI

The construction industry moves slow—except when it doesn't. On job sites across North America, where projects routinely run over budget and behind schedule, a different kind of bottleneck has emerged: the endless back-and-forth of procurement emails, the manual tracking of material deliveries, the constant vendor follow-ups that eat through project managers' days.

Krane, a San Francisco startup founded in 2022 by a licensed engineer who spent years navigating these exact frustrations, thinks it has an answer. And judging by the $9 million seed round it closed in late March, a cluster of venture investors believes the company might be onto something.

The funding, announced March 25, was co-led by Glasswing Ventures and Link Ventures, with checks from Tunitas Ventures, Rosecliff, The New Normal Fund, and a handful of angels who asked to remain unnamed. Glasswing partner Kleida Martiro is joining Krane's board—a detail that matters in a round focused squarely on what insiders call "AI-native vertical applications."

For Krane, that translates into a platform built around specialized AI agents handling the tedious coordination work that still dominates construction procurement. We're talking submittal management, vendor communications, delivery logistics, invoice reconciliation—the unglamorous plumbing of an industry managing more than $15 billion in active projects through the company's system.

An Engineer's Detour Into Software

Eshan Jayamanne didn't set out to build software. With a Professional Engineer license and over a decade in large-scale infrastructure—energy facilities, data centers, the kind of builds measured in years rather than months—he knew the procurement pain points firsthand. His resume includes stints at Webcor Builders and roles spanning production management and analytics.

In 2022, while at Stanford's Graduate School of Business, Jayamanne made the pivot. The thesis was straightforward, if ambitious: automate the manual coordination choking project timelines and budgets. The result, Krane, now plugs into the incumbent construction management platforms—Autodesk, Procore, Microsoft Project, Oracle Primavera P6—rather than trying to replace them outright.

That interoperability matters. Construction technology graveyards are littered with solutions that demanded wholesale workflow overhauls. Krane's approach appears more pragmatic, perhaps more attuned to how change actually happens on job sites.

The Metrics That Matter (If They Hold)

Digital illustration for article section "The Metrics That Matter (If They Hold)" in "Krane Raises $9M to Automate Construction Supply Chains with AI" - A conceptual and minimalist illustration of a single, prominent hourglass resting on a flat surface,...

Company-reported numbers often warrant skepticism, but Krane's claims are specific enough to be interesting. Response times from subcontractors and suppliers allegedly drop by 10x. Project engineers and managers supposedly reclaim 15 to 20 hours weekly—time previously lost to procurement busywork. Material overspend falls by 1 to 2.5 percent per project, while trade partner response rates hit 88 percent.

During pre-construction alone, the platform shaves up to seven days per scope. In an industry where delays cascade and compound, that's not trivial.

REEDER Construction, a general contractor now using the system, points to measurable improvements in procurement workflows and delay reduction, though the company stopped short of releasing hard data. That caution is typical; construction firms rarely broadcast operational details that might reveal competitive advantage or client relationships.

Timing and Context

Digital illustration for article section "Timing and Context" in "Krane Raises $9M to Automate Construction Supply Chains with AI" - A powerful, minimalist conceptual illustration of a towering construction crane hoisting a massive, ...

The funding arrives as U.S. construction spending held near record territory—$2.19 trillion at a seasonally adjusted annual rate in January 2026, per Census Bureau figures. But raw spending numbers mask underlying strain. The industry faces simultaneous pressure from rapid data center expansion, infrastructure build-outs mandated by federal programs, and supply chains still adjusting to post-pandemic realities.

Krane's recently announced Procurement module extends the platform's reach to subcontractors, broadening coverage from early-stage planning through last-mile delivery. It's a recognition that procurement inefficiency doesn't live in just one part of the construction stack—it permeates the entire chain.

The company also announced joining the Contech Alliance in March, a move signaling intent to embed itself deeper into the construction technology ecosystem. With a team sized between 11 and 50 employees operating out of the Foster City area, Krane remains lean even as it manages billions in project value.

The Bigger Bet

Digital illustration for article section "The Bigger Bet" in "Krane Raises $9M to Automate Construction Supply Chains with AI" - A minimalist and conceptual illustration representing a strategic "Bigger Bet" in venture capital, f...

Link Ventures categorized the investment under its Link-XPV fund, marking it as a 2025 portfolio entry in its internal tracking—a quirk of how venture timelines and fiscal years don't always align neatly. Meanwhile, Glasswing's involvement reflects the firm's broader push into frontier AI, backed by its recent $200 million Fund III.

For investors, the attraction seems clear: a massive, tech-resistant industry finally showing cracks where software might slip through. Construction's global footprint tops $13 trillion, yet much of its coordination still runs on email threads and spreadsheets.

Whether Krane's AI agents can genuinely replace that manual labor—or merely augment it in ways that feel incremental—remains the open question. The company positions itself as an "end-to-end solution" uniting suppliers, contractors, and field teams on a single intelligent platform. That's the pitch, anyway.

The next test? Proving those efficiency gains scale beyond early adopters and into the broader, slower-moving construction market where change doesn't come easy—and trust matters more than demos.

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