He built tech to connect the Israeli army's data. Now he has $14 million from VCs to do it for companies.

Ido Bronstein, a former member of an elite intelligence unit in the Israeli military, has transitioned from military data strategies to tackling corporate data challenges. His startup, Upriver, co-founded with Omri Lifschitz, has successfully raised $14 million to assist companies in organizing and managing their business data effectively, which is essential for reliable artificial intelligence applications. The latest funding round was led by Valley Capital and Hetz Ventures, with contributions from notable angel investors, including founders of the prominent cybersecurity firm Cyera, which recently achieved a valuation of $6 billion. During his military service, Bronstein developed software that transformed raw data from various sources into actionable intelligence for military officers. He later led a team that scaled this data infrastructure, gaining insights into the challenges faced by data teams in large corporations today. Bronstein highlights a critical issue: companies are investing significantly in AI technologies, but the effectiveness of these systems heavily relies on the quality of the data they process. When data is fragmented or unreliable, the performance of AI tools can suffer. Traditionally, organizations have responded by hiring additional personnel to manage data quality, but Upriver is exploring a more innovative approach by employing autonomous agents to streamline this process. In a typical corporate environment, data management involves complex systems. For instance, a customer might extract data using tools like Fivetran, store it in Snowflake, coordinate operations with Airflow, and visualize results through Tableau. Upriver's agents integrate with these platforms to monitor data flow, identifying issues such as incomplete, duplicated, or unreliable information, and assisting in maintaining the data pipelines. Bronstein describes Upriver's software as akin to a superhuman data engineer, automating tasks such as data quality checks, pipeline reconstruction, and dataset preparation. The company claims its solution is already in use by organizations like Unity, DMGT, and Nimble, and has established partnerships with major data platforms like Databricks and Snowflake. A key question arises: why wouldn’t established companies like Snowflake or Databricks address this issue independently? Bronstein asserts that these platforms serve as infrastructure that Upriver is designed to enhance, rather than compete with. Additionally, Upriver might find itself in competition with various startups that are also automating data management tasks. Bronstein and Lifschitz's connection dates back to their time in Talpiot, a prestigious Israeli military program that develops technical talent while focusing on defense technologies. This program has produced numerous successful entrepreneurs, including founders of well-known startups like Check Point and Wiz. Upriver aims to leverage the rigorous training that has fueled some of Israel's most successful tech ventures to solve a fundamental corporate challenge: ensuring that companies can rely on the integrity of their data.