Jisto
Jisto brings flexibility and elasticity to server utilization.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| N/A | N/A | Acquisition | |
| Total Funding | 000k | ||
Jisto, Inc. operated as a software company focused on infrastructure optimization, providing solutions for enterprises to maximize the efficiency of their computing resources. Founded in 2013 by Aleksandr (Sasha) Biberman and Andrey Turovsky, the Boston-based firm targeted the significant underutilization of server capacity in data centers and cloud environments.
The company's core offering was the Jisto Elastic Workload Manager. This product monitored application resource usage in real-time across physical, virtual, or cloud-based servers. It was designed to identify and reclaim idle or stranded capacity, which it would then allocate to other workloads, such as high-performance computing tasks like simulations, forecasting, or genomic sequencing. By dynamically managing these resources, the software aimed to mitigate resource contention and prioritize applications during peak loads. Jisto claimed its solution could increase server utilization rates by two to three times without negatively impacting the performance of existing applications or infrastructure.
The business model centered on selling its software to enterprise customers, enabling them to run more applications on their existing hardware, thereby deferring additional capital expenditures. In February 2016, Jisto announced it had secured $2.45 million in funding, led by .406 Ventures, to expand its engineering, sales, and marketing efforts. This investment underscored the market opportunity for optimizing cloud computing resources. The company's journey culminated in its acquisition by Trilio Data, Inc. in 2017, a firm specializing in cloud-native data protection.
Keywords: Jisto, infrastructure optimization, workload management, data center efficiency, cloud resource optimization, server utilization, Elastic Workload Manager, high-performance computing, resource contention, Aleksandr Biberman, Andrey Turovsky, Trilio acquisition, .406 Ventures, dynamic resource allocation, compute capacity, enterprise software, IT infrastructure, cost optimization, server consolidation, cloud cost management