From walled gardens to open intelligence.
The investment research landscape is reaching a tipping point. For years, the expert network industry has operated within "walled gardens"—closed, proprietary platforms that require analysts to manually hunt for insights across dozens of browser tabs. At Third Bridge, the goal is to dismantle these barriers. According to Dan Thomas, Head of Product Strategy, the firm’s directive is clear: stop forcing users to go to the data, and instead, let the data come to them.
Find out more about the Third Bridge MCP
Moving beyond static research: the power of active intelligence
Third Bridge is evolving its core infrastructure to transform static expert transcripts into active intelligence. By moving beyond traditional data feeds to a Model Context Protocol (MCP) native architecture, the firm is providing a live, structured "brain" that institutional clients can query using their own internal AI models in real-time.
As Thomas explains, this isn't just a feature update; it’s a fundamental shift in how human expertise is delivered. By making the Third Bridge Library "AI-ready," the firm is ensuring that its proprietary insights are accessible exactly where an analyst’s workflow actually happens.
Leading the way: meeting clients where they are
While some competitors in the expert network space continue to double down on closed ecosystems—effectively forcing clients to leave their preferred environments to access data—Third Bridge is taking the opposite approach.
Third Bridge is leading the way by prioritizing a "client-first" distribution model. This philosophy is rooted in the belief that high-value intelligence should be a seamless extension of a users’ existing toolkits, not a destination they are forced to visit.
Seamless integration with your LLM of choice
By building the MCP, Third Bridge is setting a new industry standard for accessibility and integration. This technology allows organizations to create a secure, real-time intelligence layer for agentic research workflows.
The strategy behind the MCP-native approach focuses on several key pillars:
Native AI connectivity: Firms can now connect their LLM agents directly to the Third Bridge Library. This removes the need for costly manual data setups, custom middleware, or fragile data pipelines.
LLM neutrality and choice: In a rapidly evolving market, flexibility is paramount. Third Bridge ensures seamless compatibility with your LLM of choice, whether your firm utilizes ChatGPT, Claude, ModelML, or other leading AI applications.
Secure context sharing: Internal models can access proprietary expert insights within a firm's existing security environment. This ensures data remains protected while still enabling high-conviction analysis.
Reduced hallucination risk: By allowing AI infrastructure to interact with transcripts as part of the model’s extended memory, agents can surface precise, citation-backed insights instantly.Unrivaled depth through strategic partnerships
This "content everywhere" mission is supported by a robust ecosystem of AI platform integrations. Thomas highlights that Third Bridge isn't just building a standalone tool, but a connected network. Through established partnerships with platforms like Bloomberg, FactSet, and S&P Global (Capital IQ), the firm ensures its primary research is available within the terminals and tools investors already use every day.
Furthermore, by integrating a library of over 100,000 expert interview transcripts directly into these primary analytical tools, Third Bridge is delivering unrivaled depth at the speed of modern AI.
A future-ready architecture for institutional research
This directive was designed specifically for the high-stakes environments of private equity, hedge funds, and corporate strategy teams. Whether a team is performing multi-step autonomous research or looking for systematic signals to feed proprietary algorithms, Third Bridge’s new architecture is built to support the next generation of agentic workflows.
As Thomas notes, the firm remains committed to being the expert network partner of choice by putting the client's workflow at the heart of the distribution strategy. Third Bridge invites all clients to explore how these new data solutions can help them quantify their edge and stay ahead of rapidly shifting markets.
Walled garden vs. open intelligence: how Third Bridge leads the market
| Feature | The Third Bridge "open intelligence" model | The traditional "walled garden" (competitors) |
| User access | Data delivered into your native workflow. | Users must log into a proprietary portal. |
| AI integration | MCP-native: Use your LLM of choice (OpenAI, Claude, etc.) | Hard-coded into one specific LLM or tool. |
| Workflow | Integrated into Bloomberg, FactSet, Cap IQ, etc. | Forces analysts to switch tabs and copy-paste. |
| AI reliability | Direct transcript access provides citation-backed evidence. | General models prone to hallucinations. |
| Data control | Live, structured "brain" for real-time agentic research. | Fixed data feeds with high latency. |