AI
AI
AI
Artificial intelligence-native construction supply chain management startup Krane Inc. revealed today that it has raised $9 million in new funding to accelerate the development of its operations crew for general contractors, owners and subcontractors.
Founded in 2022 by Chief Executive Eshan Jayamanne, a licensed professional engineer with experience in large-scale construction and infrastructure projects, Krane offers an end-to-end procurement platform that provides a single source of truth.
Construction projects are typically managed across multiple disconnected systems, requiring teams to coordinate materials, schedules and procurement workflows manually. Krane addresses the issue by providing an AI-native platform that consolidates supply chain data into a single system, designed to manage material flows from planning through delivery.
The platform works by ingesting data from existing construction tools and enterprise systems, including project management, scheduling and document platforms and then normalizing that information into a centralized environment. On top of the data layer, Krane’s platform then applies predictive models and automation logic to track material requirements, lead times and delivery schedules in real time.
The platform maintains synchronization across procurement records, submittals and logistics workflows to allow updates to propagate across the system as conditions change. AI agents are also used to automate discrete parts of the materials management process.
Krane’s AI agents generate procurement logs from project inputs, link schedules with material requirements, coordinate with suppliers to validate timelines and automate delivery planning. Other agentic functions include creating and validating submittal packages, comparing supplier quotes, generating requests for proposals and managing purchase orders, with each workflow tied back to the centralized data model.
“Construction supply chain processes were never designed to support the scale and pace of today’s growing industry and the rapid expansion of data center construction is exposing those limits,” said Jayamanne. “We built Krane to shift that burden off field teams, using an AI-driven construction operations team to handle the heavy lifting behind the scenes so teams can return to the jobsite faster and keep projects moving.”
The company’s platform is designed for use across construction workflows that involve complex supply chains, including data center development, infrastructure projects and institutional builds such as K-12 and biotechnology facilities. It also integrates with widely used systems such as Autodesk, Procore, Microsoft Project, Oracle Primavera P6 and other enterprise tools.
According to Krane, companies that use its platform see 10 times faster response times from subcontractors and suppliers, a 1% to 2.5% reduction in material overspend per project, and savings of 15 to 20 hours per week for project engineers and project managers.
The seed funding round was led by Glasswing Ventures and Link Ventures, with Tunitas Ventures, RoseCliff, New-Normal Ventures and unnamed angel investors also participating.
“With margins under pressure and supply chains increasingly complex, operators need real-time intelligence to protect profitability and keep projects on track,” said Kleida Martiro, managing director at Glasswing Ventures. “Krane is building an AI-native platform that delivers predictive control over cost, materials and risk across the construction supply chain.”
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