NYC startups raise millions for AI platforms
Several New York-based startups building AI-powered platforms secured significant funding. Didero, which uses AI agents to automate supply chains, raised $30 million with backing from Microsoft’s M12. In the insurtech space, Equal Parts raised $23 million, while Hauler Hero landed $16 million for its AI waste management system.
- Didero’s platform functions as an AI layer that integrates with a company's existing enterprise resource planning (ERP) and email systems. Its AI agents build a contextual understanding of products, pricing, and historical data to automate workflows like order tracking and supplier communications, aiming to handle approximately 90% of manual procurement tasks. - Microsoft's M12 venture fund, a backer of Didero, maintains a thesis-driven approach focused on areas like AI, cloud infrastructure, and vertical SaaS, aiming to form deep partnerships that connect startups to Microsoft's sales and product ecosystems. - The investment in Hauler Hero targets a $145 billion waste management industry that has been largely underserved by modern software. The company's platform is already used by over 200 organizations to manage 4.5 million pickups per month and process more than $300 million in annualized gross merchandise value. - Hauler Hero is developing a suite of specific AI tools, including "Hero Vision," which uses truck-mounted computer vision to identify service issues, and "Hero Routing," which uses historical data to dynamically optimize collection routes. - Equal Parts' model involves acquiring independent insurance agencies and integrating them onto a proprietary platform that uses AI to standardize workflows and automate back-office processes. The company reports this approach has increased revenue growth by nearly 40% for the agencies it has acquired. - The broader insurtech trend involves applying AI and machine learning to improve the accuracy of risk assessment in underwriting, automate claims processing, and detect fraud. Some firms are developing domain-specific AI models to handle