AI-powered valuation and portfolio monitoring for private capital
73 Strings operates a SaaS platform for private capital middle-office workflows—valuations, data extraction, and portfolio monitoring across PE, VC, and credit strategies. The tech stack reveals a Java/C# backend (Spring Boot, Hibernate, Azure infrastructure) paired with emerging frontend modernization (Angular adoption), while the hiring mix is heavily engineering-skewed (12 of 22 open roles) with accelerating velocity and expanding geographic footprint (US, UK, Singapore, India, Canada). Active projects signal a simultaneous push into APAC commercial expansion and product-layer refactoring (greenfield backend module, next-gen test frameworks)—typical of a scaling B2B SaaS navigating both market expansion and platform maturity.
73 Strings provides AI-augmented software for alternative investment professionals, handling three core workflows: data extraction (73 Extract), portfolio monitoring (73 Monitor), and valuation automation (73 Value). The platform consolidates these functions under a unified interface (73 Intelligence) designed to streamline middle-office processes across private equity, growth equity, venture capital, infrastructure, and private credit firms. Founded in 2019 and based in Paris, the company operates at 201–500 employees with active clients globally. Current project work spans portfolio monitoring/valuation refinement, client-specific proof-of-concepts, and commercial expansion into APAC, while engineering teams build next-generation backend architectures and test automation frameworks.
Core backend: Java, Spring Boot, Hibernate, C#, Kubernetes, Docker. Data: Snowflake, MySQL, Elasticsearch. Cloud: Microsoft Azure (with Azure DevOps, Azure AD, Azure Monitor). Testing: Playwright, Selenium, xUnit, k6, JMeter. Currently adopting Angular for frontend and Terraform for infrastructure.
Core priorities: portfolio monitoring and valuation refinement, greenfield backend development for next-generation product architecture, client POCs, APAC commercial expansion (Singapore), and automated test framework modernization.
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