Explorium

When an AI model sees only what the organization already has

An AI model that makes a business decision, such as ranking a potential customer or assessing a risk, is usually limited to data that already exists in the organization's internal systems. It misses important outside context, such as public information about companies, market changes or other digital signals. Explorium, founded in 2017 by Maor Shlomo, Omer Har (now CEO) and Or Tamir (COO), built an infrastructure that finds and connects such external data sources in real time and feeds them into the decision-making processes of business AI agents.

A data backbone, not a final analysis tool

The company describes itself as the "data and infrastructure backbone" for intelligent systems. In other words, it is not a final analysis tool in its own right, but a layer that feeds high-quality data into other tools and AI agents, mostly in business sales and marketing. This approach sets Explorium apart from traditional analytics companies that analyze only the data the organization already has: instead, it widens the pool of available data from the start, and only then lets other tools, internal or external, analyze it.

Widening the pool, from offices in three cities

This approach lets data teams and AI agents base decisions on a wider picture than internal databases alone can provide, without each team having to find and clean these data sources itself. According to the official company page, Explorium works from three offices, in New York, San Francisco and Tel Aviv, and describes itself there as "Builders Serving Builders." It works with organizations in fields such as sales, risk and marketing, as part of the broader trend of feeding AI agents real-world data, not only internal historical data that is already outdated the moment it is collected.

Why it matters now: AI agents need live context

This need grows sharper as more organizations run independent AI agents to carry out business tasks. An agent that is supposed to find suitable potential customers on its own, for example, needs ongoing access to up-to-date market information beyond the organization's internal database, just as a human salesperson would check the news and company websites before a sales call. Explorium positions itself as the infrastructure that makes exactly this possible on an automated scale, without each AI agent having to build this ability to collect external data from scratch.