The United States Army Intelligence and Security Command (INSCOM) sought the capability to track national security threats in real time. The solution needed to produce instant results and visualize insights from massive streaming datasets.
Nothing existed in the market that met their needs. Data warehouses were too slow, geospatial systems wouldn’t scale, and premium in-memory solutions promised real-time but didn't deliver.
Research Initiated to Develop Parallel Processing with GPUs
Contracting for the US Army in Arlington, VA, future company founders Amit Vij and Nima Negahban find no existing systems capable of meeting the Army’s needs. They design a new database from the ground up, leveraging the massive parallelization capabilities of GPUs to explore and visualize rapidly changing data in real time.
As data volumes grow, more organizations also start to run up against the challenge of streaming and analyzing data simultaneously in real time. USPS starts using GPUdb to optimize routes and increase accuracy.
Kinetica receives its second High Performance Computing Innovation Excellence Award from IDC. Former President & COO of Oracle, Ray Lane contributes funding. Kinetica opens offices in San Francisco and adoption starts to grow among business.
More Capabilities for Real Time Analytics
Expanding SQL compatibility, a user defined functions framework, and numerous improvements to core make it easier for businesses to adopt Kinetica and deploy it for sophisticated workloads. $50-million Series A financing jointly led by Canvas Ventures and Meritech Capital Partners with participation from Citi Ventures and existing investor Ray Lane of GreatPoint Ventures. Growth takes off.
Kinetica introduces the new Active Analytics platform, with improved AI and ML integration, a graph server for routing, automated install and configuration in a high-performance, cloud-ready package. Telecoms, security and transportation companies now using Kinetica.
Into the Cloud
Kinetica becomes available as a fully managed service in the Cloud. Continued focus on core features and an improved Workbench interface drives growth among enterprises, new tech and government agencies including some of the largest IoT data analytics implementations in the world.
What I saw was a team of technologists that really understood that there might be a different way to attack the data ingestion and data analysis issues.
There is no-one who competes effectively with the Kinetica product.
We have conviction in this destructive market opportunity. It's very unique.