Build custom investment research agents in minutes.
Orbit Agent Builder is a fully automated feature inside Orbit Insight that lets institutional investment teams create their own production grade research agents through a guided process. No code & no wait. It's the perfect tool to test all the research theories you ever wanted.
From idea to automation,
all in one simple process.
Our Agent Builder gives you a way to describe an investment research workflow in plain language, and turn it into an agent that runs autonomously.
An agent is a piece of automation. You define what data it should look at, your universe, what metrics you are interested in, and what kind of report it should produce and how frequently. Orbit takes that definition, runs it continuously from the back end, and delivers the output on whatever cadence you set.
The work that used to take weeks of bespoke development, or stayed locked inside an analyst's head as a manual process, now takes minutes to configure and runs autonomously thereafter.
Watch a build session, end to end.
Walk through the Agent Builder in a self paced tour.
Two ways to create an agent.
Describe the workflow in plain language, or hand Orbit an existing document and let the platform read it. Either path takes you to the same place: a configured agent ready to deploy.
Build through conversation
Describe what you need in your own words. The system asks the right clarifying questions, proposes a structure, and walks you through review layer by layer before testing.
Or upload a document
Upload an existing methodology in any format. A fund research process, an ESG policy, a sector tracker template, a spreadsheet. Orbit reads it and proposes a baseline you can refine.
Every agent has two layers.
Designed so the logic is transparent and the work is reusable. One agent produces one structured dataset and any number of reports drawn from it.
Structured data extraction
The first layer transforms your requirement into a configurable data extraction. Every field, source, and rule is visible. You can review it, edit it, and rerun it on demand.
The extraction runs continuously from the back end at whatever frequency you set. One off, scheduled, or always on until you stop it.
Reports on top of the data
The second layer sits on top of the structured dataset and generates reports. One agent supports any number of reports, each defined to suit a different audience, format, or cadence.
This is where the data becomes the work product. Daily monitoring digests, quarterly thematic deep dives, ad hoc comparisons, all drawn from the same underlying dataset.
Built for the workflows that drive returns.
Three audiences, three different use patterns, one platform. Orbit Agent Builder adapts to where your team already does the work.
Standardize the analyst workflow
Track portfolio companies across earnings, regulatory filings, ESG metrics, themes or specific events at scale. Agents produce consistent, auditable research outputs your team can rely on.
- Quarterly Portfolio Scorecard
- ESG Sustainability Assessment
- Sector Theme Digest
- Custom Stock Screen
Operationalize the proprietary edge
Codify proprietary theses, extract structured signals from filings and transcripts, monitor themes across exclusive China A share coverage. Connect agents into internal models via MCP or API.
- Signal Extractor
- Healthcare Theme Monitor
- Earnings Expectation Impact Analyzer
- Portfolio Scorecard
Monitor the competitive ground in real time
Track peers, regulatory developments, and market sentiment with agents that produce briefing material at the cadence your team needs. Plug competitive intelligence into existing strategy decks.
- Peer Monitor
- Regulatory Digest
- Investor Sentiment Tracker
- Ongoing Sector Analysis
Every agent is an MCP endpoint.
No extra configuration. Every agent you build inside Orbit Insight automatically becomes an MCP endpoint, ready to connect from Claude, ChatGPT Enterprise, Copilot, or your own internal LLM tools.
Connect to a specific agent
Users inside their AI tool of choice can point directly at the agent they need, instead of connecting at the platform level.
Same data through API
The same outputs flow out through the Orbit API. Self service, same agent, two distribution channels.
Infrastructure for AI
Orbit becomes part of the AI tooling your team already uses. No new interface to learn, no tab to switch.
Part of Orbit's multi agent platform.
Orbit Agent Builder is the first feature that turns Orbit's clients into builders on the platform. It sits inside a broader architecture designed to run agents autonomously and connect them together, so research workflows can be automated end to end.
Agents in Orbit work as building blocks across three categories. Each category plays a specific role in scaling research from a single question to an automated workflow.
Capability agents
Specialized agents that provide a single, repeatable function. The smallest unit of work on the platform.
Task agents
Agents that perform a discrete research job. The broker research agent is one example. These are the building blocks teams assemble most often.
Role agents
Agents that orchestrate workflows across capability and task agents to play a defined role in the research process.
Pull from anywhere.
Each agent can pull from Orbit's Knowledge Bases, your connected internal data, or both. The user chooses the combination at build time, and changes it whenever the workflow evolves.
Available sources
Inside the Agent Marketplace.
Orbit Agent Builder lives inside Orbit's Agent Marketplace, the library of off the shelf agents already available to every user. With this launch, the Marketplace gains a new section for each user's personal library of agents they have built themselves.
Off the shelf agents
Your agents
Built on the Orbit Insight platform.
Every agent runs on the same data infrastructure Orbit has built over a decade. The award winning platform that institutional investors rely on for grounded, citation backed research.
per year
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Questions teams ask before building.
What is Orbit Agent Builder?
Do I need technical skills or coding knowledge?
What kinds of investment research can I automate?
What data sources can my agents use?
How does the Agent Builder compare to ChatGPT or generic AI tools?
Can I connect my agent to Claude or other AI tools through MCP?
How long does it take to build and deploy a working agent?
Is my agent's output reliable and auditable?
Stop waiting for the agent you need.
Start building today, or talk to us about getting your team onto Orbit Agent Builder. We will walk you through a live build session and show you how it slots into your existing research workflow.