Ledgy operates an equity management platform serving 2,500+ companies from seed through post-IPO stages. The tech stack—TypeScript + React frontend, MongoDB + BigQuery + dbt backend, with n8n for automation and Fivetran/Airbyte for data pipelines—reflects a modern SaaS built for complex financial data flows. Active hiring is concentrated in engineering (12 roles) and product (4 roles) with a manager-heavy seniority mix, paired with projects around AI agents, financial reporting automation, and core engine development, indicating a strategic pivot toward AI-augmented workflows and deeper automation of compliance-heavy processes.
Ledgy provides a cap table and share plan management platform used by growth and mature companies to track equity, model funding rounds, and automate share administration. The product covers equity dashboards, share registers, ESOP administration, and investor relations workflows. Founded in 2017 and based in London, the company employs 51–200 people and operates with a distributed hiring footprint across Poland, the UK, Germany, and Romania. The platform targets equity complexity at scale—compensation structures, compliance requirements, and the financial consequences of manual administration drive the product roadmap.
Ledgy's platform runs on TypeScript and React for frontend, MongoDB and BigQuery for data, dbt for transformations, and GCP cloud infrastructure. Data pipelines use Fivetran and Airbyte; automation is built with n8n. Analytics and dashboards rely on Looker.
Current projects include an AI agent platform, financial reporting automation, core equity engine development, CI/CD pipeline optimization, compensation and savings features, and security strategy for AI agents. Projects reflect a focus on automating complex financial workflows and compliance.
Ledgy's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.