differential-dataflow
(3)
Materialize
Materialize is a New York-based data infrastructure company that builds a streaming SQL database. It continuously ingests data from operational systems, incrementally maintains the results of complex SQL queries as always-fresh materialized views, and serves them with low latency. Built on the open-source Timely Dataflow and Differential Dataflow engines and written in Rust, Materialize looks and behaves like Postgres, letting engineers use standard SQL to power real-time analytics, automation, personalization, fraud detection, and - more recently - a live context layer for AI agents and applications.
Nate Stewart
Nate Stewart is the CEO of Materialize, the streaming operational data warehouse based in New York. He took the role in April 2024 after seven years leading product at Cockroach Labs (CockroachDB), where he also sat on the board. He is a Michigan CS undergrad, an MIT Sloan MBA, and a former lead backend engineer at Bloomberg who won the MIT $100K entrepreneurship competition on his way out of business school.
Zuzanna Stamirowska
Zuzanna Stamirowska is the co-founder and CEO of Pathway, a Palo Alto-based AI infrastructure company building real-time data pipelines and post-transformer AI architectures. With a PhD in Complexity Science from Paris I Panthéon-Sorbonne and a background in maritime trade forecasting recognized by the U.S. National Academy of Sciences, she leads a team that counts NATO, Formula 1, and La Poste among its customers. Pathway's $10M seed round in November 2024 brought total funding to $14.5M, and the company's October 2025 launch of the Dragon Hatchling (BDH) - a brain-inspired, continual-learning architecture - positions it at the frontier of post-transformer AI.