Data consulting firm specializing in MDM, analytics, and AI systems
Fresh Gravity is a data consulting and systems integration shop focused on master data management, analytics, and AI. The tech stack reveals a deliberate pivot toward agentic AI: LangChain, LlamaIndex, AutoGen, and CrewAI sit alongside traditional data infrastructure (Databricks, Spark, Delta Lake), while vector databases (Pinecone, Chroma, FAISS) and Azure AI Search suggest RAG and embedding-based systems are core to current delivery. Active projects confirm this—agentic AI and RAG pipelines run parallel to MDM implementations, indicating the firm is transitioning from pure data engineering into AI-driven solutions.
Fresh Gravity, founded in 2015 and based in Flower Mound, Texas, delivers consulting and systems integration services to mid-market and enterprise clients across data management, analytics, machine learning, and AI. The firm specializes in master data management (MDM) implementations using platforms like Reltio and Informatica, alongside governance and analytics work on cloud infrastructure (Azure, Databricks). Current engagement includes a global pharmaceutical MDM program and multiple AI-driven governance initiatives. The 51–200 person organization operates across India and the United States.
Databricks, Apache Spark, Delta Lake, Python, Azure cloud (App Service, Key Vault, DevOps, AI Search), PostgreSQL, SQL Server, Docker, and modern AI frameworks: LangChain, LlamaIndex, AutoGen, CrewAI, Pinecone, and Chroma for RAG and agentic systems.
MDM implementations and data model configuration for enterprise clients; RAG pipelines and agentic AI systems; AI-driven governance solutions; and Reltio integration hub work. Projects reflect a mix of traditional data infrastructure and emerging AI delivery.
Fresh Gravity'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.