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 build a new database from the ground up, centered around massive parallelization combining the power of the GPU and CPU to explore and visualize data in space and time–an approach that has been patented.
The volume of data generated grows exponentially. Businesses start to run up against the challenge of streaming and analyzing data simultaneously in real time. USPS utilizes the database, GPUdb, to optimize routes and increase accuracy.
Former President & COO of Oracle, Ray Lane, provides initial seed funding for GPUdb to incorporate as a company, Kinetica. Kinetica opens headquarters in San Francisco.
Growth & Expansion
Kinetica closes $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.
Kinetica launches 7.0 release: the Kinetica Active Analytics Platform. The unified platform combines historical and streaming data analytics, location intelligence, and artificial intelligence in a high-performance, cloud-ready package with simplified smart app architecture.
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.