Hazel provides an AI‑native multi‑agent orchestration platform that automates complex, data‑intensive enterprise workflows—from sports video highlights and voice‑driven QSR ordering to SAP migration, patent intelligence, and ESG reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to move AI projects from proof‑of‑concept to reliable production because existing tools focus on isolated prompts rather than delivering complete, end‑to‑end business outcomes. This limits scalability, increases validation costs, and prevents automation of complex, multi‑step workflows such as video processing, voice ordering, ERP migration, and regulatory reporting.
Solution
Hazel offers an AI‑native, multi‑agent orchestration platform that coordinates hundreds of specialized agents to execute complex industry workflows autonomously. The platform integrates cloud infrastructure and enterprise systems to manage data, state, and execution logic, ensuring that the final business outcome—not just intermediate outputs—is delivered. By providing outcome ownership, Hazel enables large organizations to scale AI solutions across domains such as sports video highlights, voice‑driven QSR ordering, SAP S/4HANA migration, patent intelligence, and ESG reporting. The system handles massive data volumes (terabytes daily) and high query rates (thousands per second) while maintaining reliability and security. Clients access results through APIs and dashboards that fit into existing enterprise processes, turning AI research into production‑ready value.
Target Audience
Primary customers are large enterprises and industry verticals that need to automate complex, data‑intensive workflows at scale, including media companies, quick‑service restaurants, corporations undergoing ERP transformation, legal/IP firms, and organizations managing ESG compliance.
Features
- Multi‑agent orchestration engine that runs hundreds of parallel agents for weeks, mimicking a full development team
- Built‑in cloud and enterprise integration layer for seamless connection to ERP, data lakes, and SaaS tools
- Outcome ownership model that guarantees delivery of final business results rather than intermediate AI outputs
- Scalable processing capacity handling TB‑plus daily data and thousands of queries per second
- Domain‑specific pipelines for AI sports highlights, voice AI drive‑thru ordering, SAP migration, patent search, and ESG reporting
- Secure API and dashboard interfaces for monitoring, control, and integration with existing workflows