Altshare launches an AI-native onboarding system for its Equity Management Intelligence Platform to convert legal documents into structured equity data, creating a single source of truth for cap tables.

The product features a self-serve onboarding flow that uses AI to parse legal documents, cap tables, and financial reports to speed data migration for new customers.

The announcement frames AI-native equity management as more secure, accountable, and efficient for handling cap tables and regulatory compliance.

Founder and CEO Kashish Sharma emphasizes deploying AI where it meaningfully improves outcomes, not simply bolting it onto old workflows.

The broader digitization challenge is highlighted: maintaining accuracy as processes become automated and ensuring trust in AI-generated data.

Sharma says the goal is to empower founders, HR leads, and finance teams to run equity operations with specialist-level efficiency while preserving control and transparency.

The platform aims to let teams manage equity operations like specialists, reducing reliance on misaligned ownership of equity tasks across founders, HR, and finance.

CEO Ronen Solomon notes the approach enables live ownership views, cuts delays and manual data entry, and provides up-to-date information for founders, CFOs, lawyers, and investors.

New onboarding enhancements promise to shorten setup time from weeks to minutes, addressing lengthy demos and back-and-forth with support.

EquityList serves over 650 companies in 16 countries, managing more than $20 billion in securities for 80,000+ stakeholders, with a roster of notable customers.

The platform counts Tata Consumer Products, Swiggy, Flipkart, and Headout among its users, reflecting broad adoption.

Looking ahead, EquityList plans broader compliance automation and configurable governance workflows that reduce manual sign-off.