Total 650 words used.
Explorium was founded by three entrepreneurs, Omer Har (CTO), Maor Shlomo (CEO) and Or Tamir (COO). Maor and Or met while serving in the Israeli Defense Forces. They recruited Omer, one of Israel’s leading experts in big data analytics. Together they set out to create a platform for data science professionals.
They had an important insight: as AI and analytics became mainstream, data would become the new differentiator. Businesses would develop an insatiable appetite for data to predict risk, model buying behavior and much more. But they had no easy way to get it — no way to acquire it from outside their walls. They also had no way to guarantee the data they were getting was reliable and compliant. Worst of all, they had no way to know what data they should be using in the first place.
Explorium was the first solution to solve this problem from start to finish. It not only curated hundreds of premium and public external data sources, it validated, combined and checked them for regulatory compliance and distilled them into thousands of signals in categories including company data (e.g. financials), people data (e.g. spending patterns), geospatial data (e.g. demographics) and real-time data (web traffic).
Even more important, Explorium analyzed analytics and AI models, and identified the right data signals to boost their performance. For customers, this meant no more expensive trial and error, no more wondering whether they had the best data for the job.
Explorium’s first product, ML Engine, did this job beautifully for data scientists by offering automated ML, data augmentation, data discovery, and feature generation. But Maor saw much wider potential. In 2021, Maor led the launch of two products: one that put Explorium’s power into the hands of business and marketing analysts, and another that got businesses up and running with ML and analytics faster than possibly thought.
New innovations
In 2021, Explorium introduced Signal Studio to enable data and business analyst teams to quickly find and enrich their internal data with the most relevant external data signals and easily integrate into their analytics pipelines. It automated the data acquisition process, dramatically reducing costs and ensuring businesses invest in datasets with optimal accuracy and compliance.
Additionally, Explorium launched Explorium Starters which instantly generates a targeted dataset that can be used to kick off ML, analytics projects or sales and marketing campaigns. The launch came at a time when access to external data had become increasingly important — and challenging. Organizations typically have to sort through hundreds of datasets, without any way of knowing their relevance and value until the models are in production. This months-long process is resource-heavy, expensive and completely disconnected from analytical programs. With Explorium Starters, any business can pilot a new analytics program in an inexpensive sandbox.
Significance
Explorium helped businesses adapt to the new, fast-changing environment by keeping their predictive models up to date with a steady stream of relevant new data.
The innovation of Signal Studio was to put this same power in the hands of business and marketing analysts, while Explorium Starters got businesses up and running with ML and analytics faster than they thought possible.
All three of these solutions, including the two new ones, help businesses find new target customers, prioritize them, detect risk and fraud, and better connect with customers who want to engage in a meaningful way. They can quickly pivot to serve and protect their customers, without waiting months to search, evaluate, negotiate, prepare and use new data signals.
But that’s just the beginning. Explorium has created the world's first External Data Cloud for the ease of access and use of external data. Possibilities are unlimited and use case spans across industries such as financial services, insurance, retail, eCommerce, and hi-tech.
The team made Explorium a solution for any kind of analyst, in any organization that needs to keep up with the pace of change.
