Binary analysis platform tracking 40B+ files daily for supply chain security
ReversingLabs operates a file and binary analysis platform used by Fortune 500 companies and major cybersecurity vendors to detect malware and verify software safety. The tech stack—IDA Pro, YARA, Wireshark, C/C++, Assembly, plus modern SaaS infrastructure (Kubernetes, AWS, Azure)—reflects a hybrid model: heavy reverse-engineering and forensics capability layered with scalable cloud infrastructure. Current hiring velocity is accelerating with a 6:4 sales-to-engineering ratio and heavy focus on leadership roles (11 of 17 open positions are senior-level), signaling aggressive go-to-market expansion and organizational scaling rather than product-feature velocity.
Notable leadership hires: Human Resources Director
ReversingLabs provides a platform that deconstructs software binaries and analyzes files to identify malicious code and software supply chain risk. The platform tracks over 40 billion searchable files daily and can fully analyze a binary in seconds to minutes. The company serves enterprise and mid-market buyers through direct sales and channel partnerships, with active initiatives to grow commercial pipelines, expand into mid-market segments, and build out reseller networks. The organization is based in Cambridge, Massachusetts, with hiring across the United States, Ireland, and Croatia.
ReversingLabs analyzes and reverse-engineers file and software binaries to detect malware, verify safety, and identify software supply chain risks. The platform processes over 40 billion searchable files daily.
ReversingLabs uses reverse-engineering tools (IDA Pro, YARA, Wireshark), compiled languages (C/C++, Assembly, Java), testing frameworks (Pytest, Playwright, Selenium), and cloud infrastructure (Kubernetes, Docker, AWS, Azure, Oracle Cloud). Frontend is React and TypeScript.
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ReversingLabs'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 →
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