Emerge Education

Emerge Capital Research Investment Thesis and Vision Emerge is a $73M pre-seed fund backed by 100+ world-class operators in the future of work and learning space. The fund was the first specialist future of work and learning investor in Europe and has made 80+ investments over a decade in companies now valued at over $2 billion, impacting more than 31 million people worldwide. The fund's core thesis centers on AI's fundamental reshaping of how people learn, find jobs, and work. Rather than viewing automation as purely job displacement, Emerge invests in companies enabling people to adapt and thrive in this transition. The fund's mission is to democratize access to opportunity for everyone, driven by the founders' personal experiences as children of immigrants and refugees who benefited from world-class education and training. Three-Segment Investment Framework Emerge organizes its investment thesis around three interconnected segments: Learn Segment Companies that make personalized learning accessible to every learner at near-zero marginal cost across: Tech for young families (intersection of $57B educational toys and $250B early years education markets) Higher education and K12 B2C supplemental learning ($14B study tools, $10B tutoring) Educator tools and AI co-pilots ($6B US teacher professional development, expanding to $33B by 2028) Self-improvement and personal development ($44B market) Language learning ($21B global digital market) Key Learn portfolio companies include: Yoto, Edurino, Mattilda, Solvely.ai, MyEdSpace, Algor, Wonde, FourthRev, Unibuddy, Mentor Collective, Tomorrow University, BibliU, Engageli, Cadmus, LearnWise, KARRI, Enroly, Eduflow, LIS, Kuddl, FoondaMate, StudyStream, Guider, and Aula. Navigate Segment Companies that use AI to improve efficiency and quality in career decisions and talent matching: Career navigation and pathways ($14.5B counseling + $1.7B outplacement) Talent sourcing and acquisition ($141B market) Talent assessment and selection ($22B market) Key Navigate portfolio companies include: Huzzle, Zavvy, POPP AI, VARM, FutureFit AI, Academy, SkillsTrust, and Crehana. Work Segment Companies building AI-powered tools enabling people to collaborate with AI and increase productivity: Workforce development ($396B corporate training, $46B online degrees) Workforce augmentation and knowledge management ($558B market) Key Work portfolio companies include: Colossyan, Mendo, Sparkwise, Replicate Labs, Kinfolk, Lynx Educate, and Causaly. Investment Strategy and Approach Check Size and Stage Focus Emerge is exceptionally founder-friendly at pre-seed stage, writing unusually large checks ($500K-$2.5M) into pre-revenue and often pre-product companies. This approach allows founders to focus on building without fundraising distraction. The fund's strategy is to be the optimal first institutional investor, providing both capital and operational support. Value Proposition The fund's three-pronged value proposition to founders is: Big cheques, early : Unlike most pre-seed investors, Emerge writes $500K-$2.5M checks into pre-revenue companies World-class operator matching : Access to 100+ Venture Partners who have founded or led 50 of the top 100 future of work and learning companies (including Udemy, Coursera, Kahoot, Docebo, Degreed, Busuu, etc.) Series A fundraising support : 80% of Emerge's portfolio companies have raised successful up-rounds post-Emerge investment from top-tier firms including Index, Maveron, Lakestar, Partech, Iconiq, Earlybird, LocalGlobe, First Round, and Founder Collective Decision Process Emerge's investment process is notably fast (2-4 weeks from initial conversation to term sheet): Founders submit deck via Typeform Exploration call with investment team Monday Meeting with all three Partners (as soon as one week after first call) Investment Committee meeting Term sheet within 2-4 weeks The partnership takes a conviction-based approach, requiring founders to demonstrate: (1) founding team quality with propensity to think big and execute fast, and (2) alignment with thesis-driven investment categories where the team has deep expertise. Market Opportunity and Recent Activity Emerge identifies a combined $1.5 trillion spending opportunity across Learn, Navigate, and Work market categories. The fund is actively deploying from Fund II, which closed in 2024. Recent portfolio investments demonstrate broad-based deployment across all three segments, with notable recent additions including Solvely.ai (AI learning agents), Mendo (generative AI adoption), FutureFit AI (career navigation), and VARM (European workforce insulation/clean energy). The fund's portfolio company NPS stands at 90, indicating exceptionally high founder satisfaction with support provided. Team Composition The core team consists of seven investment professionals: Jan Lynn Matern (Founder & Partner): Founded Emerge with vision to democratize opportunity Nic Newman (Partner): Co-founded and sold Tigerspike (300-person mobile tech company), provides operational support Mario Barosevcic (Partner): University scholarship story (Bosnia to US), focuses on solutions democratizing opportunity Zara Zaman (Head of Platform): Community builder, co-founded largest pan-European university accelerator Sami Tatar (Associate): Uber, Gorillas, and consulting background, school governor Charlotte Jones (Research Operations): PhD with postdocs, lecturer at University of Oxford, handles research and automation Chloe Trigg (Finance and Operations Manager): Big 4 accounting background Beyond the core team, Emerge has assembled 100+ Venture Partners representing a who's who of future of work and learning: founders/former leaders from Trilogy, Coursera, Blackboard, MasterClass, Emeritus, McDonald's, Sesame Workshop, Andela, Cornerstone OnDemand, OpenClassrooms, Degreed, Chegg, Kaltura, Udacity, Kahoot, SNHU, BridgeU, Docebo, Busuu, Blinkist, AMBOSS, and many others. Geographic Focus While headquartered in London, Emerge is explicitly European-first with selective US expansion. The vast majority of portfolio companies are based in Europe and the UK, with selective investments in the US market. Lead Tendency and Involvement Emerge is conviction-based and aims to lead pre-seed rounds, writing significant checks. The fund is comfortable being the sole institutional investor at pre-seed stage. Following the initial investment, the firm's Venture Partners typically take active advisory and mentoring roles, with some securing board observer seats or advisory positions. Thesis Evolution and Current Priorities The fund explicitly states its thesis constantly evolves. Current priority areas detailed in their 'Request for Startups' (November 2024 manifesto) include: Learn : AI-powered personalized learning, avatar-based language learning, parent coaching tools, interactive edutainment, AI authoring tools for learning materials Navigate : AI career navigation tools, AI talent sourcing, EmployerEd platforms, AI-powered talent assessment, job simulation assessments Work : Digital empowerment for AI use, flight simulator learning for interpersonal skills, business communication co-pilots, authoring tools for L&D, low-cost performance coaching, frontline worker management, AI knowledge management systems Exit History and Performance Metrics Notable Emerge-backed exits include Aula (acquired by Coventry University). The fund reports 80+ companies now valued at $2B+, with 31M+ people impacted by portfolio companies. The exceptional 90 NPS score from portfolio founders indicates high perceived value and support. Key Differentiators Pre-seed specialist with big checks : Rare willingness to write $500K-$2.5M checks into pre-product companies Founder-centric process : Fast 2-4 week decision timeline, high conviction partnership approach Unparalleled operator network : 100+ Venture Partners from the exact markets they invest in Founder-aligned follow-on support : Proactive Series A fundraising support with 80% success rate on follow-ons Mission-driven : Explicit focus on democratizing opportunity, not just returns Thesis depth : Deep specialization in interconnected future of work/learning markets with detailed subsector analysis