HR Tech investors
Solo-GP investing globally in EdTech and Future of Work with small checks ($25k–$250k), an EdTech 3.0 pedagogy–community–employment thesis, majority capital for women-founded companies, and a founder-emphasized long-term, patient company-building.
Seed-stage fund founded by Ramtin Naimi whose boom-bust-resurgence background runs an institutionalized super-angel network that orchestrates targeted introductions to top multi-stage funds, boosting Series A graduation.
Rockies-rooted, research-heavy investor using a Michael Porter–inspired Build x Enable x Secure framework, intensive diligence (three meetings, customer interviews, IC presentation) and 100+ years' operating experience plus expert network.
$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.
Seed-stage firm using psychometrics and structured data to archetype founders and model outcomes, with a quantitative sourcing engine (GitHub spikes, big-tech departures) and hands-on GTM and model-building support.
Early-stage fintech investors composed entirely of ex-fintech founders/operators, offering tactical product, go-to-market, and regulatory guidance, with a high-visibility founding partner who drives disproportionate deal flow.
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.
Partners can unilaterally approve investments; the firm open-sources its operating manual and uses data-driven outreach that proactively identifies and emails hundreds of future founders.
Seed and early-stage lead/co-lead investor backing experienced teams in education, safety & care, and environment/climate, offering Goldman-level analytical rigor and explicit, quantified impact theses.
Fintech-focused, non-lead co-investor (100+ fintechs) that avoids board seats, focuses on founder relationships, and uses hedge-fund-style evaluation of founders as decision-making engines.
Leverages a nearly 20‑year, ~2,000‑member founder‑heavy network (70% founders/CEOs, 20% pre‑seed/seed VCs, 10% execs), a founders‑first ecosystem, and a repeatable playbook to commercialize defense and deep‑tech R&D.
Early-stage investor focused on Black, Latinx, and Indigenous founders, offering hands-on support in product, tech-stack strategy, and team structure.
Late‑seed to Series B investor (up to €10M) specializing in AI tutors, teacher toolboxes and AI-enabled assessment; true impact fund linking carry to reach, inclusion and learning KPIs, women‑led.
Earliest-stage Indiana startups receive hands-on assistance from a team of experienced operators.
Early-stage, pre-product focus on AI-first learning and work tools; unusually large first checks ($500k–$2.5M), 100+ Venture Partners who've founded Udemy, Coursera, Kahoot, mission-driven to democratize opportunity.
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.
An NYC accelerator with broader venture activity, offering intensive Manhattan cohorts (≈1% acceptance), 1,000+ mentors, daily in-person mentor/investor access, and ERA Global U.S. market support.
Bill Helman and economist Roland Fryer run an experiment to improve U.S. income mobility, using the Social Money Multiplier to set and report impact targets alongside KPIs.
Acts as an institutional co-founder: originating ideas, building products and pairing CEOs, run by repeat founders (Garrett Camp, Naveen Selvadurai) offering hands-on, small-class, full-stack help from ideation to go-to-market.
Early-stage 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.
Founded by native New Yorkers, they focus on advancing the future of New York's tech ecosystem.
AI-focused, Alphabet-backed investor offering longer timelines; ex‑Google technical partners provide hands-on model architecture and data‑pipeline support plus access to TensorFlow experts and research engineers.
Early-stage investor combining AI-driven software, sustainability tech, and consumer brands as co-equal focus areas, offering a dedicated internal team plus a ~500-founder portfolio network with high-visibility exits.
VC serving as first institutional partner for AI-first founders, writing first checks at Pre-Seed, Seed and Series A, with a 3-month flexible, non-mandatory company-building program acting as quasi-co-founder.
Female-led, edtech-specialist VC with Pre-K-to-Gray learning thesis and AI-first requirement, offering summit-driven access to 15,000+ leaders, 500+ edtech CEOs, EdTech 150/200 visibility, and founder Michael Moe’s growth investing expertise.
Seed-stage investors founded by former YouTube and Twitter product leaders who invest their own money, take concentrated board-level positions, offer transparent communication, and back Chime, Plaid, and Gusto.
With 25+ years and support for over 600 companies, they invest in and support founders from seed through later stages, helping turn founders' visions into reality.
Invests exclusively in technologies optimizing human health, productivity, and well-being that embed neuroscience-driven behavior change, offering founders primary research insight and technical diligence from scientists, neurosurgeons, and technologists.
Subsidiary fund sponsored by Western Governors University, run by WGU's President and CFO, giving companies direct access to one of the world's largest online universities and CRA-aligned connections.
Invests at very early-stage tech; distinguishes itself as a metrics-first SaaS investor (David Skok’s industry-standard SaaS metrics playbooks) and operates with a modest $450M U.S. fund.
Invests in African startups at micro‑VC and angel stages; led by Aadil Mamujee.
Applies LinkedIn's playbook and offers codified leadership curricula plus hands-on leadership coaching, acting as a venture fund–leadership institute hybrid for founders seeking structured executive development.
Connects founders to 200+ senior operator LPs (90% women, 40% people of color) who actively source deals, conduct diligence, and support portfolio companies, with 75-70% first-time venture investors.
VC focused on AI infrastructure, AI-native software, and AI frontier tech (not generalist), with partners across all four U.S. time zones and a podcast dissecting company-building for founders.
Pre-seed/seed VC using an AI dataset tracking every new Canadian tech startup, holding 90–100 companies, with added Silicon Valley fundraising expertise and hands-if support toward Series A.
Invests from ideation through early operational build-out, co-creating startups with founders, backed by permanent evergreen capital for longer holds, global on-the-ground teams, and disciplined, fundamentals-driven underwriting.
Small angel-VC focused on v0.9 founders—first institutional investor for founders between angels and VCs—offers a curated network, data-driven playbooks credited with tens of thousands in MRR, and Series A support.
Invests in very-early to early-stage AI startups, leveraging founders' Layer 6 and Vector Institute ties including Geoffrey Hinton for deep access, and offers up to $250,000 in GPU credits.
Operates as an impact operator, publishing metrics-driven impact reports, embedding racial and social equity in governance, and prioritizing founders from underserved learner communities across learning, workforce, justice, and health.
Seed and Series A investor focused on connected hardware/IoT and concentrated early-stage enterprise SaaS, using structured programs like Ignite and domain-specific operating partners to reach $10M+ ARR.
Seed-focused; backs applied AI with defensible data moats (not foundation models), provides in-house engineering and Beacon AI (650M employees, 80M orgs) for recruiting/GTM, and can invest up to $100M.
Operator-led team of former Facebook, WhatsApp and eBay product, growth and engineering leaders who work hands-on on data/product management, freely released Growth Scanner and prioritize AI- and data-defensible startups.
Evergreen fund that leads early rounds in B2B software—especially SMB-facing infrastructure (identity/security)—offering hands-on operational support and re-underwriting to double down at later stages as Southern California permanent capital provider
Invests across early-stage venture and growth equity, uniquely bridging U.S.–Latin American tech with dedicated bi-regional teams that help founders expand across borders and navigate regulatory differences.
Focused on creator-operators and founder-creators, operating like a media company with proprietary SaaS School (40% of deal flow) and celebrity-founder LPs who teach and help access oversubscribed rounds.
Targets technically capable founders with liberal-arts or nontraditional degrees recruited via a global elite-university faculty network, helping elite, often first-generation students become venture-backed CEOs straight out of school.