Q/C Technologies

Q/C Technologies

David Kabiller co-founded Q/C Technologies in 2015 after two decades building AQR Capital Management into one of the world's largest quantitative hedge funds. At AQR, Kabiller saw firsthand how much alpha was trapped in messy, unstructured data that most systematic firms could not process efficiently. Q/C was his answer — a standalone company that ingests raw alternative datasets, applies machine learning to extract structured signals, and delivers the output to quantitative fund managers. The firm is not an investment adviser; it sells data products and technology infrastructure to asset managers globally. Q/C's platform processes four main categories of alternative data: geospatial and satellite feeds, corporate filings and earnings transcripts, consumer transaction panels, and shipping and logistics records. The firm applies proprietary NLP models to parse sentiment, detect anomalies, and forecast revenue trends. Clients include systematic equity, macro, and commodity trading advisors in North America, Europe, and Asia-Pacific. Known users span the quantitative hedge fund universe, though specific client names remain undisclosed. The firm competes with data vendors like Quandl, Thinknum, and YipitData, but differentiates through its deep integration with systematic investment workflows rather than offering raw terminal access. The firm maintains a deliberately lean structure, drawing heavily on Kabiller's network of quantitative researchers and data scientists. Headquartered in New York, Q/C serves asset managers managing a combined total well above $100 billion. Kabiller has publicly discussed his role at Q/C at industry conferences, though the firm does not disclose revenue, headcount, or a formal client list. The company operates independently of AQR, with no shared ownership or investment mandate, though the cultural DNA — rigorous, research-driven, quantitatively fluent — is unmistakable. Q/C's structural differentiator is its singular focus on the plumbing of quantitative investing rather than the alpha-generation itself. Most data vendors sell broad-access licenses to financial terminals. Q/C embeds engineers within client teams to map raw data onto specific factor models and backtesting frameworks. This consulting-plus-software model shifts the relationship from vendor to infrastructure partner. Kabiller's dual experience as both a quantitative fund executive and a data entrepreneur gives Q/C a procurement advantage that pure-play technology vendors lack — he understands precisely what a systematic PM needs from a dataset before the PM articulates it.