OmniSync Data was built to solve the hardest problem in machine learning: the acquisition of clean, legally compliant, and structured data at scale.
Founded by Anthony Parrish, OmniSync Data brings nearly two decades of hardcore computer science and enterprise engineering experience to the data infrastructure market.
We observed that quantitative analysts and AI researchers were spending 80% of their time building brittle web scrapers and cleaning unstructured text. We built OmniSync to flip that ratio. Our proprietary extraction engines currently process millions of data points daily across global pharmaceutical databases, live sports telemetry, and complex B2B networks.
Whether you are training a massive language model for medical diagnostics or building low-latency predictive models for quantitative trading, we provide the raw material your algorithms need to succeed.
Every decision is made by engineers, for engineers. We obsess over schema consistency, latency, and delivery reliability.
Legal and ethical sourcing is not a checkbox. It's baked into every layer of our ingestion and processing architecture.
We don't scrape the entire internet. We go deep on three high-value verticals and build specialist pipelines that generalists can't replicate.
Read about the distributed systems architecture that powers our data pipelines.
View Infrastructure Overview