Ledgy operates a financial-compliance platform for equity administration and cap-table management, built on TypeScript + React + MongoDB with a modern data stack (BigQuery, dbt, Looker) for reporting. The hiring mix is manager-heavy (19 of 39 roles) relative to individual contributors, paired with active projects in automation, financial reporting, and operational efficiency — pointing to a company scaling operational and compliance workflows rather than shipping new product surfaces. Pain points cluster around manual processes in complex equity logic and multi-currency scenarios, signaling ongoing friction in back-office automation.
Ledgy is a London-based equity and share-plan management platform serving over 2,500 companies across pre-IPO and post-IPO lifecycle stages. The core product addresses cap-table management, ESOP administration, round modeling, and investor reporting — areas where manual equity administration creates audit risk and operational drag. The company operates across engineering, finance, ops, product, and data functions, with hiring active in Poland, UK, Germany, and Switzerland. Core technical projects center on equity administration workflows, financial reporting automation, and process improvements to reduce manual operational load.
Ledgy runs TypeScript and React for frontend, MongoDB for primary storage, GCP and BigQuery for data warehousing, dbt and SQL for transformation, and Looker for reporting. They use Fivetran and Airbyte for data ingestion, Terraform for infrastructure, and n8n for workflow automation.
Ledgy reports over 2,500 companies use the platform globally, spanning startups through post-IPO organizations managing equity and share plans.
Other companies in the same industry, closest in size