The data and research intelligence layer for institutional investing.
Orbit brings the public, internal, and third-party data your team relies on into one connected place, then lets you ask it questions, monitor what matters, and automate research end to end. One layer your analysts, portfolio managers, and AI systems all work from.
What our clients do with Orbit Insight
From a first question to research that runs itself.
These are not five separate features so much as one progression, the path a firm follows as AI becomes more central to how it works.
Access
A connected, global body of research data in one place, anchored to a common backbone, not another set of silos.
Ask
Questions in plain language, answered from across all the data at once, grounded in primary sources.
Monitor
Companies, portfolios, and themes kept under continuous watch, surfacing what changed and what warrants attention.
Automate
Repeatable workflows that run on their own, on a schedule or a trigger, producing structured data and reports.
Integrate
The whole layer living inside your existing environment, reachable through API and standard connectors.
Two layers
A foundation of connected data, and a workspace built on top.
The platform is organized into two layers. The Knowledge Base is the foundation. Orbit Insight is where your team works.
Where your team asks, monitors, automates, and builds
The connected data every answer is built on
Not a model alone
The hard part of research is not the reasoning. It is the data the reasoning stands on.
Most firms evaluating Orbit have tried a general-purpose assistant or considered building something themselves. Both run into the same wall.
A model arrives empty
No access to your internal research, no decade of history to read a new document against, and no record of which company a document actually concerns. Orbit supplies all of it.
Scale is a different problem
A model can read a filing you paste in. It cannot monitor a thousand companies overnight or run the same analysis consistently across a universe. That takes the infrastructure Orbit is.
Building it yourself never ends
Wiring a model to a database takes weeks. Building and maintaining an entity master across markets, languages, and corporate change takes years and does not get easier with a bigger model.
Model-agnostic by design
Never locked to one model. Always improving as they do.
Orbit is not built around a single AI model or vendor. It routes each piece of work to the model best suited to it, balancing quality against cost, so the platform improves as the underlying models improve and your firm is never tied to one provider's pricing or capability. The intelligence is in the data, the entity master that links it, and the orchestration around it, not in any one model.
One layer for all of your research.
See how Orbit brings your data together and turns it into answers, monitoring, and automated research in one governed place. These are conversations that matter deeply to us at Orbit.