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.
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 is 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.
