Multi-cloud, data and AI consulting plus datacenter integration services
Redapt is a Woodinville-based solutions provider spanning datacenter hardware integration and consulting across AWS, Azure and GCP. Its stack mixes all three hyperscalers' ML services (SageMaker, Vertex AI, Azure Machine Learning, Bedrock) with Databricks and Snowflake, and adoption of LangGraph, LangChain and CrewAI points to a push into agentic AI delivery. Senior-heavy hiring, including a CTO search, suggests capability building rather than volume scaling.
Notable leadership hires: Client Director, Chief Technology Officer
Redapt, Inc. is a privately held technology solutions provider founded in 1996 and headquartered in Woodinville, Washington, with 201–500 employees. The company delivers system integration, datacenter site operations and Dell datacenter hardware alongside cloud adoption, DevOps, cloud-native app development and application migration. It holds consulting partnerships with AWS, Azure and Google Cloud. Client work covers IT modernization, data estate reviews, database migration to cloud and security transformation. Hiring is concentrated in the United States across engineering, data, sales, product and security.
Redapt works across Azure, AWS and GCP with .NET, C#, Java, Python, React and TypeScript, plus PostgreSQL, SQL Server, Oracle, Databricks, Snowflake, BigQuery, Redshift and Terraform.
Yes. Its stack includes OpenAI, Anthropic and AWS Bedrock, it is adopting LangGraph, LangChain, CrewAI and RAG, and projects include production AI apps on Claude models.
Redapt is headquartered in Woodinville, Washington, United States, and currently hires in the United States.
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Redapt, Inc.'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.