Data and AI consulting for enterprise transformation
Nimble Gravity is a data and AI services firm building on Azure, Databricks, and LangChain across data pipelines, ML feature engineering, and generative AI implementations. The stack shape—heavy investment in orchestration (Airflow, Dagster), transformation (dbt, Spark SQL), and RAG/LLM frameworks (LangChain, LangGraph, Anthropic)—reflects a shift from analytics consulting toward AI-native delivery. Hiring is concentrated in data roles (5 open), with secondary sales and product focus, indicating pipeline scaling alongside service delivery.
Nimble Gravity partners with mid-market and enterprise organizations to design and build data platforms, AI systems, and digital workflows. The firm operates primarily across Azure cloud infrastructure, Databricks analytics, and modern data orchestration, serving financial services, ecommerce, and other regulated verticals. Current work spans data integration and governance, generative AI engagements, and partner-led go-to-market expansion. The organization is based in Denver, Colorado, with active hiring across the United States, Colombia, Argentina, and Mexico.
Primary: Azure (cloud), Databricks (analytics), dbt (transformation), Python/PySpark (computation). AI/ML: LangChain, LangGraph, Hugging Face, PyTorch, Anthropic, RAG. Data movement: Kafka, Azure Data Factory, Apache Airflow, Dagster. BI: Tableau, Power BI.
Data platform modernization (Azure, Databricks), generative AI implementations (Claude, RAG), data quality and extraction automation, and scaling partner revenue motion in regulated industries like financial services.
Nimble 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.