Ricardo Jimenez-Peris, CEO & Founder of LeanXcale

What is LeanXcale, member of Infinitech ? Introductory question 250 times acceleration!! That is the number claimed by your customer CESCE attained in the computation of their maximum compensation risk using LeanXcale. I would like to know more about LeanXcale. So, What is LeanXcale? LeanXcale is a database that combines easy-to-use SQL, high NoSQL ingestion, and linear scalability, and it is optimal for banking and insurance data pipelines. Why in insurance and finance? Insurance and banking companies are trying to activate every single piece of information and become data-driven organizations. In order to achieve this, they need to create data pipelines that typically bump into two obstacles: complexity and lack of agility. LeanXcale overcomes both. How can LeanXcale help with complexity? A data pipeline must rapidly capture all the available information and transforms it into a useful form for really large volumes. LeanXcale is two orders of magnitude faster ingesting data than SQL technology, but still provides SQL as query language, unlike NoSQL solutions. On the other hand, it avoids having to rely on complex architectures to combine SQL and NoSQL in some way to solve the problem, thus highly reducing the cost of development and maintenance. And with agility? Some of our customers such as CESCE, the 4th world surety insurance, have reduced some critical processes more than 250 times. They used the market leader database that was taking over 2 months to process their data without actually finishing. With LeanXcale the process was reduced to 5.5 hours over the same hardware. Now they want actually multiple by 4 times the number of years of data to be processed what will still take under one day on that hardware. But since LeanXcale scales out linearly they can actually accelerate the process as much as they like without any cost increase relaying on pay-per-use cloud instances. How LeanXcale is impacting these organizations? Companies using LeanXcale don’t have any limitations stemming from data size or data processing speed, they reduce their TCO since they require significantly less hardware that can be provisioned on demand due to our fast ingestion capability, and their teams become much more productive because they don’t have to wait days for the data, just tens of minutes. But the best is how we transform the organization into a data-driven company by enabling them to process more information faster and more frequently. Following steps: We want to become the first database option for insurance and banking data pipelines and become a global company. We want to demonstrate that in the EU, we can innovate better than anywhere.