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5 leading established expert networks and how they are responding to AI
This article is part of a series on AI and expert networks. Read the overview and market trends, 3 marketplaces and aggregators reinventing how companies access expert talent, and 7 AI-native companies reinventing the expert network model.
Expert networks have existed since the late 1990s, and the largest players have had decades to build the scale, compliance infrastructure and client relationships that newer entrants cannot replicate quickly. GLG, AlphaSights, Third Bridge, Guidepoint and AlphaSense each operate at a level of breadth and institutional trust that defines one end of this market.
AI now runs across all of their offerings. For most of these five, it makes existing workflows faster with the same model underneath, through call summarization, compliance screening, transcript search and scheduling. The exception is AlphaSense, whose acquisition of Tegus created something genuinely new, a platform where archived expert knowledge becomes a queryable layer alongside financial data, and a live call is one option rather than the default.
| Company | Founded | HQ | Scale | Funding | AI signature |
|---|---|---|---|---|---|
| GLG | 1998 | New York | 1M+ experts | PE-backed | myGLG agentic platform, MCP connector |
| AlphaSights | 2008 | London / New York | Global team | Founder-led | AlphaGPT, AlphaGraph, auto-summaries |
| Third Bridge | 2007 | London | 100k+ transcripts | PE-backed | Forum AI search; Bloomberg ASKB |
| Guidepoint | 2003 | New York | 1.7M+ experts | Private | Guidepoint360, AskGP assistant |
| AlphaSense | 2008 | New York | 200k+ transcripts | ~$7.5B val. | AskTegus natural-language search |
GLG
The pioneer of the commercial expert network, and still the largest.
Founded: 1998
HQ: New York, USA
Funding: Private equity backed
GLG created the commercial expert network in 1998 and remains the biggest, with more than one million vetted professionals and offices across roughly a dozen countries serving corporate, investor, consulting and government clients.
Its AI work protects that scale rather than reinventing it. In May 2026 GLG relaunched its client platform as myGLG, adding a Strategic Research Agent, an AI Moderator and precision synthesis tooling, together with a connector that lets clients pull GLG content into their own AI systems through the emerging Model Context Protocol standard.
GLG shows what incumbency buys in an AI market, the ability to layer automation onto an already dominant pool without disturbing the business that pool supports.
AlphaSights
Speed and high-touch service, with AI removing the administrative load.
Founded: 2008
HQ: London and New York
Funding: Founder-led, privately held
AlphaSights built its reputation on speed, with a large global team sourcing experts around the clock for financial and corporate clients across London, New York and Hong Kong. Its edge has always been operational rather than technological, including fast turnaround on bespoke briefs and fresh recruitment for each project rather than reliance on a fixed database.
Its AI tools take administrative work off analysts so they can concentrate on matching and client service, including AlphaGPT for querying its knowledge base, AlphaNow for market research, and automated call and project summaries. AlphaGraph maps more than 25 million relationships between experts and companies. The human team still drives the sourcing.
AlphaSights is the clearest case of augmentation without disruption, using AI to make a human-led model faster while keeping the humans at the center of it.
Third Bridge
A transcript library turned into a searchable knowledge asset.
Founded: 2007 (as Cognolink, rebranded 2016)
HQ: London, UK
Funding: Private equity backed
Third Bridge made an early bet on building a library rather than only scheduling calls. Its archive now holds more than 100,000 analyst-moderated expert interviews across over 75,000 companies, which makes it as much an information-asset business as a network.
Its Forum product runs AI-powered search across that library, letting clients in private equity and sector research query archived conversations without booking a call. Third Bridge has also begun pushing its content into clients’ own tools, with a Finster AI partnership in September 2025 and an integration into Bloomberg’s ASKB assistant in April 2026.
Third Bridge demonstrates the compounding advantage of proprietary content, since every interview added makes the searchable base more valuable, in a way newer entrants find hard to replicate quickly.
Guidepoint
Breadth first, with AI making an enormous database easier to navigate.
Founded: 2003
HQ: New York, USA
Funding: Privately held
Guidepoint runs one of the broadest networks in the sector, with more than 1.7 million experts and thousands of corporate, consulting and investment clients served from offices across the Americas, Europe and Asia. Its differentiation is reach and accessibility rather than specialization, though its Qsight arm layers prescription and claims data on top of expert access for healthcare clients.
In October 2025 Guidepoint launched Guidepoint360, a platform with a conversational research assistant called AskGP that layers generative AI over its transcript library and expert access.
For a network this large, the highest-value use of AI is navigation, turning sheer scale from a storage problem into a queryable advantage.
AlphaSense (incorporating Tegus)
The move that turned archived expert calls into a market-data layer.
Founded: 2008 (platform launched 2011)
HQ: New York, USA
Funding: ~$7.5B valuation (2026); acquired Tegus for $930M in 2024
AlphaSense, a market-intelligence platform, acquired the expert-transcript provider Tegus in 2024 for $930 million. It has since combined that library, now more than 200,000 expert call transcripts across over 25,000 companies, with its own AI search across filings, broker research, earnings calls and news. A June 2026 round valued the company at roughly $7.5 billion on more than $600 million of annual recurring revenue.
The AskTegus feature lets clients query the combined corpus in natural language. Rather than starting with a live expert call, the platform first asks whether the answer already exists in what experts have said before, set alongside structured market data.
This is the most structurally significant move among the established players, shifting the default from booking a call to searching an archive, and making the live call one option among several.
This article is part of a series on AI and expert networks. Read the overview and market trends, 3 marketplaces and aggregators reinventing how companies access expert talent, and 7 AI-native companies reinventing the expert network model.
