Upriver raises $14M to automate enterprise data engineering for AI
Israeli data engineering startup Upriver Data Ltd. today announced it has raised $14 million in new funding to automate the data work that enterprises depend on to make artificial intelligence projects succeed. Founded in 2024 by Chief Executive Ido Bronstein and Chief Technology Officer Omri Lifshitz, Upriver has built what it calls an artificial intelligence-native platform that connects to an organization’s full data stack, resolves data quality issues and maintains pipelines automatically. The company pitches the result as a reliable data foundation that AI systems can run on without constant manual upkeep from engineering teams.
Israeli data engineering startup Upriver Data Ltd. today announced it has raised $14 million in new funding to automate the data work that enterprises depend on to make artificial intelligence projects succeed.
Founded in 2024 by Chief Executive Ido Bronstein and Chief Technology Officer Omri Lifshitz, Upriver has built what it calls an artificial intelligence-native platform that connects to an organization’s full data stack, resolves data quality issues and maintains pipelines automatically. The company pitches the result as a reliable data foundation that AI systems can run on without constant manual upkeep from engineering teams.
The platform handles data engineering workflows end-to-end, including finding and resolving quality problems, maintaining pipelines and creating new datasets. Upriver says it pairs a context engine that maps the structure of an organization’s data with a coordinated system of agents that validate results across fragmented data stacks. It’s also accessible through AI development tools, including Anthropic PBC’s Claude and Cursor.
The funding comes amid a backdrop of stalled AI deployments, many of them traced back to poor data rather than the models themselves. Gartner Inc. reported in April that 38% of technology leaders pointed to poor data quality or limited data availability as a direct cause of AI project failure. The firm separately found in January that at least 50% of generative AI projects had been abandoned after the proof-of-concept stage, with data quality among the leading causes.
“We’re seeing enterprises invest heavily in AI but struggle to see real impact because their data simply isn’t ready,” Bronstein said. “We built Upriver to take that burden off data teams entirely. Our goal is to make data infrastructure invisible so enterprises can extract their organizational knowledge from the messy data and finally get from AI what was originally promised.”
Upriver counts Unity Software Inc. and Daily Mail and General Trust plc among its customers and has partnerships with data platforms including Databricks Inc. and Snowflake Inc. Web search infrastructure firm Nimble Way Ltd. reported a 60% productivity increase after deploying the platform, according to Chief Executive Uriel Knorovich.
The seed round was led by Valley Capital Partners and Hetz Ventures, with angel backing from New Relic Inc. founder Lew Cirne, Cyera Ltd. founders Yotam Segev and Tamar Bar-Ilan and Great Expectations Labs Inc. founder Abe Gong.
Guy Fighel, a partner at Hetz Ventures, said the startup goes deeper than rivals that sit on top of the data stack. “Upriver goes into it, and that’s the difference between cleaner dashboards and AI you can actually put into production,” he said in a statement.
Upriver said it will use the capital to expand its engineering and go-to-market teams, deepen product development and accelerate enterprise deployments.
Photo: Upriver
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