AI and cloud consulting firm building enterprise RAG and multi-agent systems
CirrusLabs runs a consulting-services practice spanning cloud infrastructure, data platforms, and AI systems. The tech stack is heavily Azure-centric (Data Factory, Synapse, Machine Learning) with AWS and GCP as secondaries, and the project list is dominated by RAG pipelines and agentic AI workflows—a sharp focus on LLM-powered automation rather than traditional analytics. Pain-point data reveals internal pressure on cloud cost optimization and data security compliance, suggesting they're scaling deployments faster than governance can keep pace.
Founded in 2005 and based in Alpharetta, Georgia, CirrusLabs is a consulting firm serving enterprise clients across cloud infrastructure, AI/ML, and business transformation. The company operates in two primary segments: AI and data (NLP, predictive modeling, computer vision, RAG systems) and cloud-native services (AWS, Azure, GCP architecture and optimization). They also offer DevOps, automation, and security consulting. The hiring profile skews toward senior engineers and data specialists, with active expansion into India-based delivery and US-based sales and client acquisition.
Primary: Azure (Data Factory, Synapse, Machine Learning, Data Lake Storage), AWS, GCP. AI/ML: LangChain, LangGraph, RAG, Pinecone, FAISS, Weaviate, SageMaker, Vertex AI. Infrastructure: Docker, Kubernetes, Terraform, CloudFormation. Analytics: Power BI, Databricks, Apache Spark, Salesforce.
Primarily RAG pipelines, multi-agent AI systems, and agentic workflow design. Recent projects include LLM deployment optimization, Agentforce integrations, and tool-integration architecture for enterprise AI automation.
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