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Krane

Category: AI Agents

An AI-native platform for construction supply chain management that deploys specialized 'AI agents' to automate material coordination, procurement, and logistics for large-scale projects. Krane was founded in 2023. The company is led by Eshan Jayamanne. Based in San Francisco, USA. Team size: 11-50. Total funding raised: $9.0M. Latest round: Seed. Key investors include ["Link Ventures","Glasswing Ventures","Tunitas Ventures","RoseCliff","New-Normal Ventures"].

Founded
2023
Headquarters
San Francisco, USA
Team size
11-50
Total funding
$9.0M

Value proposition

Eliminates 'supply chain chaos' by replacing manual, fragmented coordination with an automated AI operations crew, reducing project delays and cost overruns through real-time material tracking and predictive insights.

Products and solutions

["KAI Agent (Intelligent agent system for real-time tracking and predictive insights)","Krane Delivery Board (Centralized logistics and material flow dashboard)","AI Procurement Module (End-to-end automated procurement and PO management)","AI Operations Crew (Task-specific agents for submittal automation and vendor follow-ups)","Predictive Risk Analytics (Early warning system for lead-time delays and scope creep)"]

Unique value

Moves beyond passive data visualization to 'agentic' automation where AI agents actively perform tasks—such as calling vendors, updating logs, and reconciling submittals—acting as a digital extension of the project operations team.

Target customer

General contractors, subcontractors, and owners of large-scale infrastructure projects (e.g., data centers, healthcare facilities, and energy infrastructure).

Industries served

["Construction","Infrastructure & Civil Engineering","Data Centers","Healthcare Facilities","Energy & Utilities"]

Technology advantage

Combines deep domain expertise in construction (led by former Cupix and Google talent) with a multi-agent AI architecture that integrates directly into existing construction ERPs and accounting systems to synchronize the 'data layer' with physical jobsite workflows.

How they differentiate

Krane differentiates through 'agentic' AI that actively performs operational tasks—such as calling vendors, reconciling submittals, and updating logs—rather than just providing a dashboard for manual data entry. It acts as an automated 'operations crew' specifically for material coordination.

Main competitors

["Kojo","Trunk Tools","Procore"]

Key partnerships

["Glasswing Ventures & Link Ventures (Lead Investors)","Tunitas Ventures, RoseCliff, and New-Normal Ventures","Major infrastructure tri-ventures (e.g., UCSF Helen Diller Hospital project partners)","Integrations with leading construction management platforms (e.g., Procore, Autodesk Construction Cloud)"]

Notable customers

["UCSF Helen Diller Hospital project partners","Major infrastructure tri-ventures"]

Major milestones

["Emerged from stealth in March 2026","Secured $9M in Seed funding led by Link Ventures and Glasswing Ventures","Established integrations with Procore and Autodesk Construction Cloud"]

Growth metrics

Currently in early commercialization with enterprise partners managing over $15B in project pipelines.

Market positioning

Seed-stage AI-native specialist targeting the heavy infrastructure and large-scale commercial construction sectors.

Geographic focus

North America

Patents and IP

No registered patents disclosed as of latest update; proprietary technology focuses on agentic LLM workflows and construction-specific predictive models.

About Eshan Jayamanne

Eshan Jayamanne is the Founder and CEO of Krane. He is a licensed professional engineer with deep expertise in large-scale infrastructure and data center projects. Prior to founding Krane, he served as the Head of Strategy and Product at Cupix, a leading 3D digital twin platform for construction. He holds an MBA from the Stanford Graduate School of Business (Class of 2023) and a Bachelor's degree in Engineering from the University of Moratuwa. His career is defined by bridging the gap between heavy industry operations and cutting-edge AI technology.

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