SHE-RAM Tech Ventures builds AI-native companies from the data layer up.
We build data-first ventures in HealthTech and EdTech.
Impact by design
SHE-RAM Tech Ventures focuses on creating companies in domains where failure has real societal cost. Impact is treated as a venture selection and design constraint, not a branding exercise.
High-impact domains
We build in healthcare technologies, ed-tech, and care-oriented systems where failure has real societal cost.
Structural gaps
We address access, representation, data ownership, and inclusion as design constraints, not afterthoughts.
Measurable impact
Ventures are designed to demonstrate Social ROI (SROI) and measurable societal impact from day one.
Why data-driven ventures fail in high-impact domains
Many AI-driven ventures fail because data foundations, AI system design, and domain constraints are treated as separate or late-stage concerns—especially in regulated environments such as healthcare and education.
Fragmented Data Foundations
Data governance, architecture, and quality are treated as separate concerns from AI system design, leading to brittle systems that fail in production.
Governance as an Afterthought
Regulatory compliance, consent mechanisms, and data ownership models are addressed too late—often after core system architecture is locked in.
Underestimated Domain Constraints
Healthcare and education operate under strict regulatory, ethical, and operational constraints that cannot be retrofitted into existing systems.
How we build companies
We design systems where data ownership, governance, and AI are aligned by default. Our ventures are built on data foundations that enable patient-owned, consent-native health data—moving beyond platform-centric models toward decentralized, citizen-centric architectures.
Venture origination and early-stage company building
We identify high-impact opportunities and build companies from the ground up.
Data foundations as strategic infrastructure
Governance, architecture, and quality are core assets, not technical debt.
AI-native system design from day one
Systems are designed for AI integration, not retrofitted for it.
Domain-specific constraints embedded early
Regulatory, ethical, and operational requirements shape architecture from the start.
Clear governance and long-term stewardship
We design for sustainable impact, not short-term exits.
A curated network for collaboration
Ecosystem Allies
Networks, institutes, and platforms aligned with ethical data use, healthcare innovation, and inclusive technology ecosystems.
Co-Development & Delivery Partners
Organizations actively collaborating on data foundations, technology, and venture execution.
Relationships vary by venture and stage.
Build what matters, properly.
What We're Thinking & Building
Follow our latest insights, updates, and conversations on LinkedIn.
Portfolio
We build companies from the data layer up—by design, not retrofit. Each venture is architected for reliability, governance, and measurable impact.
Stealth Venture
Venture Leadership
The woman who put the SHE in the Ramming
Founder. Venture Builder. Innovator.
Limor BH Epstein builds AI-native, data-driven ventures across healthtech and edtech. She specializes in data foundations, domain-specific LLM strategy, and building scalable products for complex regulated markets.
Connect on LinkedIn
Building the next generation of impact-driven ventures
We're seeking exceptional entrepreneurs, operators, and domain experts ready to co-found and lead AI-native companies in healthcare technologies and ed-tech.
Building companies means building leadership
SHE-RAM Tech Ventures actively seeks entrepreneurs and operators capable of leading early-stage ventures. Leaders who are a mensch are a core venture asset.
Founder-operators
Individuals ready to lead early-stage companies from concept to execution.
Mission-aligned co-founders
Leaders who understand domain constraints and impact as design principles.
Leadership as venture asset
We invest in people who can build companies that matter.