Microsoft-focused consultancy for Azure, security, and Copilot adoption
Inviso is a Bellevue-based Microsoft technology consultancy delivering Azure, Microsoft 365, security, and data services. Its stack and project list show a pivot toward AI services: Copilot for Microsoft 365, Azure OpenAI, RAG, and MCP sit alongside an enterprise AI platform and AI gateway build. Hiring is accelerating and skews engineering and security, with a Compliance Lead opening and active Defender for Endpoint and Cloud Apps adoption.
Notable leadership hires: Compliance Lead
Inviso is a privately held technology consulting firm founded in 2004 and headquartered in Bellevue, Washington, with 201–500 employees. It serves small through enterprise organizations across many industries. Service lines cover solution assessments, Azure infrastructure and migration, Microsoft 365 implementation, modern work and security, data and analytics, business process automation, cloud cost and license optimization, staffing, and marketing. The firm operates offices across North America and Asia-Pacific, with current hiring in the United States, Philippines, Japan, and Malaysia.
Inviso works mainly on Microsoft technologies: Azure, Azure DevOps, Microsoft Sentinel, Defender, Purview, Intune, Power BI, and Copilot Studio, plus AWS, C#, Python, Go, TypeScript, React, and Azure OpenAI.
Current projects include Copilot for Microsoft 365 readiness and adoption, trials across ASEAN, enterprise AI platform foundations, an AI gateway, infrastructure-as-code rollout, and Microsoft 365 migrations.
Inviso is hiring in the United States, the Philippines, Japan, and Malaysia, with demand concentrated in engineering and security roles at mid and senior levels.
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Inviso'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.