Late‑seed to Series B investor (up to €10M) focusing on AI tutors, teacher toolboxes and AI-enabled assessment; true impact fund linking carry to reach, inclusion and learning KPIs, women‑led. The firm continues to build its presence across the venture capital landscape.
$0.5–1M Series A checks, most of a $68M fund reserved for larger Series B follow-ons, and strategic finance support: five-year models, unit-economics and retention-based PMF underwriting. With a disciplined investment approach, the team drives value for both founders and investors.
Invests very early (seed, $1–3M) with a solo GP enabling rapid decisions, leveraging an operator-heavy LP network for sourcing and delivering data-driven diagnostics plus structured playbooks to find PMF. The firm continues to build its presence across the venture capital landscape.
Fintech-focused, non-lead co-investor (100+ fintechs) that avoids board seats, prioritizes founder relationships, and uses hedge-fund-style evaluation of founders as decision-making engines. With a disciplined investment approach, the team drives value for both founders and investors.
Pure-play seed investor with a friend-founded, attribution-free partnership, mandatory round-robin partner meetings and 1–4 scoring requiring 12+ points, leveraging founder network as live diligence and Nihal Mehta's Rolodex/community programs. The firm continues to build its presence across the venture capital landscape.
Early-phase investor with a large NYC platform: 20,000+ Data Driven NYC members, Guilds tied to 80% of unicorns, founders' AI/data expertise, repeat-founder networks, and the 11-year MAD Landscape. With a disciplined investment approach, the team drives value for both founders and investors.
