Microsoft-focused AI and data modernization consultancy
Cyclotron is a Microsoft-native strategy and implementation firm built around Azure, Databricks, Fabric, and Power BI—with active projects in agentic systems, RAG pipelines, and AI deployment. The tech stack is deeply Microsoft-aligned (Azure Synapse, Entra ID, Purview, OpenAI), and their project list (data modernization, AI strategy, governance models) maps directly to their pain-point inventory (scaling AI pilots, secure deployments, change resistance), suggesting they're solving for organizations stuck between legacy data infrastructure and production-grade AI.
Cyclotron advises mid-market and enterprise customers in financial services, healthcare, public sector, retail, and tech on data modernization and AI strategy. Founded in 2014 in San Francisco, the firm operates as a strategic consultancy with 201–500 employees and a stated focus on accelerating client outcomes through industry-specific frameworks. Their core service areas span enterprise cloud architecture (Azure infrastructure), data platform modernization (Synapse, Fabric, Databricks), analytics and BI (Power BI), and emerging AI practices (OpenAI, agentic systems, RAG). They hold a 2024 Microsoft Global Compliance Partner designation.
Azure Synapse, Databricks, Fabric, Azure Data Factory, Power BI, PySpark, Python, Purview, Azure OpenAI, and Azure AI Foundry, plus broader Azure infrastructure (AKS, App Service, DevOps, Virtual Desktop, Defender for Cloud).
Data modernization, advanced analytics, Power BI solutions, data ingestion/transformation, agentic systems, RAG pipelines, OpenAI and Anthropic practices, AI deployment methodologies, and governance model development.
Cyclotron, 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.