Context Analytics. A Bridgewise company
About us

Unstructured data, understood.

Our mission

We transform news, filings, podcasts and social media into structured, actionable intelligence, so investors and institutions can find alpha, manage risk and understand market dynamics.

A Bridgewise company

Together with Bridgewise, we cover the full path from raw alternative data to client-facing investment insight.

Visit Bridgewise
Executive leadership

Meet our team.

Meet the research team
[PHOTO: Joseph Gits, grayscale]
CEO and Co-Founder Joseph Gits

Joe started with SMA, recognizing that capital markets professionals needed to quantify the impact of social media on equities, sectors and industries. Building on that, he expanded Context Analytics into machine-readable filings, news and general document processing.

Over 30 years of financial data and analytics experience Early practitioner of ML, NLP and AI in financial markets B.S. in Finance, University of Iowa · MBA in Finance, DePaul University · CFA charterholder
[PHOTO]
Umair RafiqChief Technology Officer

20+ years building financial applications and large-scale server systems, including a leadership role at Thomson Reuters. Leads development of core IP across data integration, analytics and infrastructure.

Led Data Center Management (DCiM) development · Leads global engineering teams
[PHOTO]
Kim Herndon GitsChief Financial Officer

Oversees financial operations including accounting, planning and analysis, tax and treasury, plus human resources, benefits and legal.

Continental Bank, First Chicago, BMO, JP Morgan · B.S., Indiana University · MBA, University of Chicago · CFA charterholder
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Zishan CaiVP, Data Science

Leads the product and research team, delivering data science solutions and developing new products for clients.

Quantitative research and product development · M.S. in Financial Engineering and B.S. in Mathematics, University of Illinois
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Koburn WeismanVP, Research

Leads the research team and client relationships, building tailored solutions for client data needs and overseeing internal systems.

7+ years in alternative data · B.A. in Statistics, Northwestern University
How we do it

Low-latency RESTful JSON APIs with security-level data across asset classes. Designed to plug into quantitative models, in real time or as a baseline.

Our technology

Powered by precision.

01Sentiment NLPOur own NLP platform for financial language, with sentiment lexicons spanning asset classes from ESG to fixed income.
02Parsing engineParses any document into structured JSON that mirrors the original hierarchy, readable by people and models alike.
03Source ratingSource credibility matters as much as the message. A 12-factor algorithm filters bots, spam and bad actors.
04Topic model engine[DESCRIPTION NEEDED: the current page repeats the Sentiment NLP copy here]
Like what you've seen?

Let's connect.

Schedule a meeting with a data specialist, or write to our team at ContactUs@contextanalytics-ai.com.