Human-led investigations platform for enterprise due diligence and background screening
Vcheck operates a hybrid investigations business—human analysts paired with tech infrastructure—targeting institutions that need rapid, reliable due diligence. The tech stack (Python, Django, FastAPI, PostgreSQL, Salesforce) is lean and operationally focused, with heavy emphasis on Salesforce workflow optimization and third-party integrations; the hiring mix skews sales and legal rather than engineering, reflecting a service-delivery model where humans remain central to the work. Active projects around continuous monitoring, ID verification, and portal modernization suggest incremental platform maturation rather than core product reinvention.
Vcheck is a private investigations and intelligence firm based in New York, founded in 2012, serving mid-market and enterprise clients who need institutional due diligence, background checks, and asset tracing. The company employs 201–500 people across the United States, Romania, and India. Core services include employment screening, executive vetting, IPO support, litigation intelligence, and specialized research. The business model combines human investigators with internal tooling to accelerate turnaround and improve consistency—positioning speed and data quality as competitive edges against slower, manual-heavy competitors.
Backend: Python, Django, FastAPI, PostgreSQL, MySQL, MongoDB. Cloud: AWS (ECS, Batch, Lambda). Frontend: React, JavaScript. CRM/sales: Salesforce, SalesLoft, LeanData, ZoomInfo, LinkedIn Sales Navigator. Monitoring: Sentry, CloudWatch. Infrastructure: Terraform, Jenkins, GitLab CI/CD. Intelligence tools: Westlaw, LexisNexis.
Vcheck is headquartered in New York, NY, and actively hires in the United States, Romania, and India.
Vcheck'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.