IT services and staffing firm spanning cloud, data, security and chip verification
Value Innovation Labs is a New York IT services firm whose stack reads like a portfolio of client engagements: UVM, SystemVerilog and PCI Express for semiconductor verification alongside Dynamics 365, Power Platform, Snowflake and Kubernetes for enterprise work. Accelerating, senior-heavy engineering hiring maps to client projects in public sector Salesforce, vulnerability management and regulated banking, with Databricks and Microsoft Fabric now being adopted.
Value Innovation Labs is a privately held IT services company founded in 2018 and headquartered in New York. It offers custom application and mobile development, enterprise IT consulting, managed services, QA and testing, infrastructure services, and AI and robotic process automation. The company also lists blockchain, IoT, and digital and analytics among its specialties. It employs 201-500 people and hires in the United States and Canada, serving clients from startups to enterprises.
Its stack includes AWS, Kubernetes, Terraform, Docker, Snowflake, Tableau, .NET, Azure DevOps, Dynamics 365, Splunk and Grafana, plus UVM and SystemVerilog for hardware verification. It is adopting Databricks and Microsoft Fabric.
Yes. Hiring is accelerating and is dominated by senior engineering roles, with smaller openings in operations, security, support and data, across the United States and Canada.
Current work includes a public sector Salesforce implementation, global contract automation, Workday Journeys rollout, vulnerability management dashboards and automation, and Oracle TDE and Key Vault encryption.
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Value Innovation Labs'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.