discovery-automation
(2)
Auctor
Auctor is a New York-based AI company building an 'AI system of action' for the enterprise software implementation lifecycle. Its platform captures customer requirements from conversations and decisions, then auto-generates execution-ready artifacts - proposals, statements of work, business requirements documents, user stories, resource plans, cost estimates and process diagrams - while keeping teams synchronized from discovery through delivery. Aimed at system integrators and professional services firms, Auctor reports up to 80% efficiency gains in discovery and design. Founded in 2025 by four Johns Hopkins dropouts, the company emerged from stealth in April 2026 with $20M led by Sequoia Capital.
Eve
Eve is a San Francisco-based legal AI company that builds software for plaintiff-side law firms, automating work across the entire case lifecycle - from intake and case evaluation to medical record summaries, demand letters, discovery, and settlement. In June 2026 it rebranded its platform as EveOS, an AI-native operating system for plaintiff firms. Eve reached a $1 billion+ valuation with a $103 million Series B in September 2025, and serves 450+ firms that have collectively recovered more than $3.5 billion.