About Us

Our Mission

Our primary focus is transforming traditional and alternative data sources, into actionable insights. Through our solutions, we empower businesses to optimize returns, manage risk, and unlock a deeper understanding of the market.

Meet our Team

Executive Leadership

Joseph Gits

CEO & Founder

Joe is the founder of Context Analytics. Starting with SMA, he recognized the need for capital markets professionals to quantify the impact of social media on equities, sectors, and industries. Building on this vision, he expanded Context Analytics' capabilities into machine-readable filings, news, and general document processing.

Over 30 years of financial data and analytics experience
Pioneer in applying ML, NLP, and AI to financial markets
B.S. in Finance from the University of Iowa, MBA in Finance from Depaul University, CFA Charter Holder

Umair Rafiq

Chief Technology Officer

Umair brings over 20 years of expertise in building financial applications and large-scale server systems, including a leadership role at Thomson Reuters. At Context Analytics, he leads the development of core IP, driving innovation in data integration, analytics, and infrastructure solutions.

Expertise in financial data systems and AI/ML applications
Led Data Center Management (DCiM) development with infrastructure oversight
Experienced leader of global engineering teams

Kim Herndon Gits

Chief Financial Officer

Kim oversees Context Analytics' financial operations, including accounting, planning and analysis, tax, and treasury. She also manages human resources, benefits, and legal matters, ensuring the company's operations are aligned for long-term growth.

Experience in banking and capital markets at Continental Bank, First Chicago, BMO, and JP Morgan
Skilled in leading cross-functional teams under tight deadlines
B.S. in Finance at Indiana University, MBA University of Chicago, CFA Charterholder

Zishan Cai

VP - Data Science

Zishan leads Context Analytics' product and research team to deliver data science solutions and develop new products. He applies his quantitative expertise to transform financial data into actionable insights for clients.

Expertise in quantitative research and scalable product development
Skilled in collaborating with clients to deliver impactful, long-term solutions
M.S. in Financial Engineering and B.S. in Mathematics, University of Illinois

Koburn Weisman

VP - Research

Koby leads Context Analytics' research team and manages client relationships. He partners with clients to create tailored solutions for their data needs while overseeing internal systems and workflows.

7+ years in alternative data industry delivering products and custom solutions
Experience in quantitative research with alternative datasets in finance
B.A. in Statistics from Northwestern University

How Do We Do It?

Context Analytics delivers its solutions through low-latency RESTful JSON APIs, providing security-level data across all asset classes. Our metrics are designed for seamless integration with quantitative models, enabling real-time and baseline access to actionable insights.

Powered By Precision

Our proprietary technology stack that makes it all possible

Sentiment NLP

Context Analytics built its own NLP platform to decode financial language. Our sentiment lexicons span asset classes from ESG to Fixed Income.

Parsing Engine

Context Analytics parses any document into structured, machine-readable JSON. Our output mirrors original hierarchy for human readability and alpha generation.

Source Rating

Source credibility matters as much as the message itself. Our 12-factor algorithm filters bots, spam, and bad actors for clean sentiment data.

Complex Topic Model Engine