2.12 Angels

The firm deploys proprietary AI agents to ingest data from multiple pipelines, processing over 8,000 founding teams annually and tracking more than 40,000 individual talents. Its machine-learning models predict Series B probability by analyzing 53 personality traits alongside market and business data, cutting the pipeline to about 400 investable opportunities per year. This systematic approach aims for over 60% market coverage of the North American seed ecosystem (per firm website).

2.12 Angels invests exclusively at the seed stage and explicitly states it does not participate in Series A or later rounds. The firm focuses on early-stage technology companies with high growth potential, concentrating its capital before institutional Series A investors typically enter.

No. The firm describes itself as operating more like a fintech company than a conventional venture partnership. Its investment process is fully automated through six proprietary AI agents, with humans acting solely as final decision makers rather than as primary screeners or network-driven sourcers.

Yes. The firm delivers automated, AI-powered value-add services to portfolio companies, including executive coaching, sales training programs, and what it describes as 24/7 AI assistance via its proprietary platform. These services are delivered algorithmically rather than through a traditional human-led platform team.

The firm targets AI/ML startups, B2B SaaS, enterprise software, and deep technology companies. Its investment activity concentrates on North American B2B businesses with scalable models, where its data-driven sourcing and vetting models are most applicable.