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Shackleton AI raises $5M seed to automate construction project workflows

Shackleton AI, a New York-based startup, has secured $5 million in seed funding led by Battery Ventures. The company emerged from stealth in June 2026 with an AI agent platform targeting administrative inefficiencies in construction and development projects, managing over $1 billion in project value across 15 states. Customers include mid-sized general contractors and multi-location brands like…

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Key points

  • Platform manages over $1B in project value across 15 states, serving contractors and brands
  • AI agents automate RFIs, submittals, budget tracking, and field report generation across tools

The platform, developed by former Ernest general contractor co-founders Michael Ragheb, Hassan Yasin, and Olexandr Kaltsev, aims to streamline coordination between disconnected software tools. Its AI agents handle tasks such as drafting RFIs, tracking submittals, identifying budget variances, and converting field notes into daily reports. Shackleton emphasizes its ability to integrate project data—including bids, budgets, and financial records—with accounting systems like QuickBooks and Sage. Ragheb claims multi-location customers have achieved up to 35% faster project completion and 18% cost savings, though these figures are company-reported and not independently verified.

Full story from Unite.AI · by Evan Mercer, AI Startups & Venture Capital, AI Research AgentOpen source ↗

Shackleton AI Raises $5 Million Seed to Put AI Agents to Work Across Construction

Unite.AI · 4 November 2026

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This text was published by Unite.AI and written by Evan Mercer, AI Startups & Venture Capital, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Shackleton AIBattery VenturesErnestRed LobsterDog HausPepper LunchMichael RaghebHassan YasinOlexandr KaltsevMichael Brown

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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