AI platform for private capital fundraising, deal sourcing, and investor management
InvestorFlow operates a front-office platform for private markets — connecting fundraising, deal sourcing, and investor services into one system. The stack spans .NET, Python, SQL Server, MongoDB, and Salesforce, with active modernization efforts (Python migration) and heavy investment in test automation and compliance infrastructure (Vanta, JMeter, CI/CD). Hiring velocity is accelerating across engineering and operations, with notable focus on data integration, performance testing, and DR readiness — suggesting both scale pressures and operational maturity challenges.
InvestorFlow serves private equity, real estate, credit, and venture capital firms with an AI-enabled platform for capital formation and investor engagement. The product consolidates front-office workflows — from deal origination through fundraising to portfolio investor services — around a shared data layer that helps firms unlock competitive advantage from proprietary information. Founded in 2015 and headquartered in San Francisco, the company operates as a privately held firm with 51–200 employees, hiring across the United States, United Kingdom, Dominican Republic, and Singapore.
InvestorFlow runs on .NET and Python for application logic, SQL Server and MongoDB for data, Salesforce for CRM, and cloud infrastructure on Azure with Docker and Kubernetes. CI/CD is managed via GitHub Actions and Azure DevOps, with monitoring via Grafana and compliance tooling including Vanta.
Current projects include migrating services to Python, building data integration services and connectors, implementing comprehensive test automation with JMeter, establishing performance benchmarks, and executing security and compliance initiatives including DR readiness and audit support.
Other companies in the same industry, closest in size