Our journey so far
The early days
Orbit started in 2015 with a problem the industry had lived with for decades. The information investors need most sits inside filings, transcripts and disclosures that no system could read at scale.
We spent those early years building the connectors, the extraction pipeline and the quality controls needed to turn that material into data an institution could rely on.
Our Aim
Our aim is straightforward. Give investment teams a platform that does the research alongside them, supported by data they can verify line by line.
Connectors to global exchanges, regulators, news providers, transcript sources and company filings feed a knowledge base that our models reason over directly. Every extracted figure links back to the page it came from, so an analyst can check the number before it reaches a portfolio manager, a client or an investment committee.
And now?
Today that work happens inside Orbit Insight. Teams screen companies, monitor holdings, compare disclosures across markets and build their own research agents in Orbit Agent Builder without writing code. Orbit MCP brings the platform into the AI tools teams already use, and our API suite brings it into the systems they run internally.
The platform processes over 70 million documents a year, covering 75,000+ companies across 120 countries and 80+ exchanges, in 15 languages. More than 45 AI models and 850+ automated validations drive that output, keeping parsing accuracy above 99 percent.
Diversity, Equity & Inclusion at Orbit
At Orbit, diversity isn't just a value—it's a competitive advantage. We believe that diverse perspectives, backgrounds, and experiences drive the innovation needed to transform financial intelligence through AI.
We're committed to creating an environment where every team member can thrive and contribute their best work. This means fostering equity in opportunity, ensuring accessibility for all, and building a culture of belonging where people feel empowered to bring their authentic selves to work.
We focus our efforts on advancing diversity across multiple dimensions, including gender, race and ethnicity, disability, sexual orientation and gender identity, cultural background, socioeconomic status, and generational diversity.
Building the research platform the industry has needed for over a decade.