Life Sciences IT services with deep Veeva and Salesforce expertise
Slipstream IT is a 200–500-person IT services firm exclusively focused on Life Sciences, built around Veeva (CRM, Vault, Network) and Salesforce implementations. The tech stack reveals a regulated-industry operation: heavy on compliance tooling (OneTrust, Intune, Azure AD), data platforms (Synapse, SQL Server, Tableau, Power BI), and integration middleware (MuleSoft). Current hiring is concentrated in data and engineering roles at senior levels, and active projects center on Vault migrations, CRM integrations, and analytics — suggesting customers are mid-market pharma/biotech firms executing major platform consolidations.
Slipstream IT is a specialized IT services and outsourcing provider serving the Life Sciences industry exclusively. Founded in 2020 and headquartered in Blue Bell, Pennsylvania, the firm operates globally with engineering and data talent split across the United States and India. The company delivers end-to-end solutions across the product lifecycle, with particular depth in Veeva implementations (CRM, Vault, Network), Salesforce Life Sciences Cloud migrations, and compliance-heavy infrastructure (Azure, Intune, OneTrust). Customers typically face complex system integrations, document migration at scale, and regulatory readiness — challenges Slipstream addresses through both staff augmentation and managed services.
Core platforms: Veeva (CRM, Vault, Network), Salesforce, Azure (Synapse, SQL, AD), Tableau, Power BI, MuleSoft. Compliance and security: OneTrust, Intune, Windows Autopilot, Jamf. Recently adopting Kinaxis RapidResponse and Blue Yonder for supply chain optimization.
Active projects include Vault document migrations, Salesforce Life Sciences Cloud migrations, Vault platform upgrades, CRM integrations, OneTrust + Salesforce + Veeva integrations, and analytics/reporting solutions for regulated clients.
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Slipstream IT'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.