Kinetica is a technology company.
Kinetica has raised $50.0M across 1 funding round.
Kinetica has raised $50.0M in total across 1 funding round.
Kinetica has raised $50.0M in total across 1 funding round.
Kinetica's investors include Canvas Ventures, Cervin Ventures, Kayne Anderson Capital Advisors, Matrix, Meritech Capital Partners, ONSET Ventures, Thayer Ventures, Uncork Capital, Gen Isayama, Carl Showalter.
Kinetica is a technology company that builds a distributed, memory-first OLAP database leveraging GPUs and modern CPUs for high-speed, real-time analytics on massive datasets, including spatial, time-series, graph, vector, and generative AI workloads[1][3][4][5]. It serves enterprises in industries like telecommunications, logistics, insurance, financial services, defense, oil & gas, and energy, solving the problem of processing complex queries on streaming geospatial and temporal data at scale where traditional databases fall short[1][2][5]. With $65.1M in total funding, 51-200 employees, and estimated revenue around $12M, Kinetica demonstrates strong growth momentum through innovations like GPU-accelerated generative AI solutions powered by NVIDIA and deployments with major organizations[3][5].
Kinetica traces its roots to 2009, when Amit Vij and Nima Neghaban (also referred to as Nimah Negahban, current CEO) founded GIS Federal in Arlington, Virginia, developing software called GPUdb initially for US military and intelligence applications at Fort Belvoir for INSCOM[2][4]. Early traction came from production deployments with the US Army (noted by IDC in 2014) and United States Postal Service (2016), earning the HPC Innovation Excellence Award for USPS work[4]. Pivotal moments included rebranding to GPUdb, Inc. in 2016 with a $7M investment led by Raymond J. Lane, followed by another $6M round and a San Francisco office; later that year, it became Kinetica with a massive $50M Series A in 2017 led by Canvas Ventures and Meritech Capital, alongside Citi Ventures[3][4].
Kinetica rides the explosion of real-time data from sensors, IoT, and AI, capitalizing on trends like generative AI agents, location intelligence (growing at 16.93% CAGR), and multimodal analytics amid proliferating machine-generated data[1][2][5]. Timing is ideal as enterprises demand sub-second insights for fraud detection, supply chain optimization, and situational awareness, where legacy databases lag; market forces like AI-based location analytics and ETL/IoT integration favor its GPU-native approach over competitors like Google or Vespa[1][5]. It influences the ecosystem by enabling "speed layers" in architectures, powering defense common operating pictures, logistics routing, and telco network analysis for the world's largest organizations[2][4][5].
Kinetica is poised to expand its generative AI and agentic workflow capabilities, targeting deeper penetration in high-stakes sectors like defense and finance with GPU advancements and edge computing[3][5]. Trends like AI-driven location services, real-time vector search, and multimodal data proliferation will propel growth, potentially through partnerships (e.g., NVIDIA) or further funding amid a maturing real-time analytics market[1][5]. Its influence may evolve from niche geospatial pioneer to core infrastructure for enterprise AI, delivering the edge in speed-critical operations that define competitive advantage—much like its origins in mission-critical US government deployments.
Kinetica has raised $50.0M across 1 funding round. Most recently, it raised $50.0M Series A in June 2017.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2017 | $50.0M Series A | Canvas Ventures, Cervin Ventures, Kayne Anderson Capital Advisors, Matrix, Meritech Capital Partners, ONSET Ventures, Thayer Ventures, Uncork Capital, Gen Isayama, Carl Showalter |