The 8 Best Expert Networks in 2026: How to Choose the Right Partner
TL;DR
- Expert networks are no longer just matchmakers. The best now combine live expert calls with searchable transcript libraries and AI-powered research workflows that slot into the tools institutional teams already use.
- The market has split into four categories: scale players (GLG, Guidepoint), speed-first networks (AlphaSights), transcript-first platforms (Third Bridge, AlphaSense/Tegus), and AI-native sourcing firms (NewtonX).
- The right choice depends on whether you need to get smart before a call, get to the right expert fast, or both — and whether your workflow lives on a proprietary platform or inside Bloomberg, Hebbia, or Claude.
- Third Bridge leads this list because it is the only provider that combines analyst-led transcript depth, live custom sourcing, and broad distribution into the AI tools institutional teams are already adopting in 2026.
Introduction
If you are evaluating expert networks, you are probably trying to solve a specific problem: a deal, a thesis, or a market question that needs to move faster than a formal research mandate allows. You need the qualitative judgment, operational detail, and management context that sit behind the financials — from someone who has actually been inside the company, the supply chain, or the competitive dynamic you are analysing.
Primary research providers exist to close that gap. But in 2026, the category covers a much wider range of products than it did five years ago. Some are pure call networks. Some are transcript platforms with AI search. Some are AI-native sourcing tools. A few try to be all three, with varying degrees of success. Several major players have been acquired, merged, or repriced in ways that change the value equation significantly.
There is also a structural shift underway: as large language models make generic information drawn from the open web a commodity, the scarcity value of primary, human-verified intelligence rises. The expert networks pulling ahead are those that have invested in delivering that proprietary insight directly into the AI workflows and research tools where institutional teams already operate — not just on their own platforms.
This guide cuts through the noise. We evaluated the leading providers on the criteria that drive real buying decisions: speed to the right expert, transcript library quality, AI and tool integration, compliance, and pricing transparency.
Third Bridge delivers primary research and expert-led insights wherever your team already works — on the platform, in Bloomberg, Hebbia, Aiera, or Claude for Financial Services via MCP. Request a trial to see what that looks like for your workflow.
Summary: The 8 Best Expert Networks at a Glance
| Provider | Best For | Standout Feature | Transcript Library | Pricing Model |
| Third Bridge | All-round primary research: analyst-led transcripts + live sourcing + AI workflow integration via MCP | Forum library (analyst-led); MCP server for Claude for Financial Services; widest 3rd-party distribution | Yes — Forum (analyst-led) | Subscription |
| GLG | Enterprise scale and compliance-heavy environments | 900,000+ vetted experts globally; deepest compliance infrastructure | Partial | Credits / subscription |
| AlphaSights | Consulting firms needing fast turnaround | Rapid matching, high-touch project management | Partial (credit-based) | Credits / subscription |
| Guidepoint | Broad sector coverage and flexible formats | 1M+ expert database; Qsight analytics platform | Yes — Guidepoint Insights | Credits / subscription |
| AlphaSense / Tegus | Investment teams who want the largest transcript database | 200,000+ transcripts; AI-powered search (AskTegus) | Yes — largest by volume | Subscription (seat-based) |
| Atheneum | Life sciences and multi-regional research | 1M+ advisors; Research-as-a-Service model | Limited | Project / subscription |
| NewtonX | B2B tech and SaaS research; AI-native sourcing | Custom recruiting per brief; no static database | No | Project-based |
| Silverlight Research | Institutional investors needing boutique, compliance-managed access | Structured institutional workflows; strong governance framework | No | Credits / subscription |
What Is an Expert Network?
An expert network connects institutional clients — primarily investors, management consultants, and corporate strategy teams — with industry professionals who have direct, first-hand experience of the companies, sectors, and markets under research. Access typically comes through two routes: live one-on-one expert calls, and searchable libraries of prior expert interviews (transcripts).
For most institutional users, expert networks serve as a fast path to insight that public sources cannot provide: what a retailer's former VP of procurement actually thinks about a supplier's pricing power, what a clinician sees in a drug's real-world adoption, or whether a private equity sponsor's commercial thesis holds up against someone who ran that business.
In 2026, a third dimension has emerged: AI-powered research workflows that let analysts query transcript libraries at scale, surface recurring themes across dozens of calls, and integrate expert insight directly into deal memos and portfolio monitoring processes. The networks that are winning are the ones that have invested in this layer.
How to Choose the Best Expert Network for Your Team
Institutional teams who have evaluated expert networks at procurement level consistently prioritise the same factors. Volume of experts in a database rarely comes first.
- Speed and relevance under compliance: How fast can you get to the right expert without taking compliance risk? A fast network that delivers off-target experts is worthless. The question is fast and correct, inside the rules.
- Transcript library quality: Can you get smart before spending time and budget on a live call? Networks with deep, searchable libraries change the cost curve for early-stage research and portfolio monitoring.
- Precision of sourcing: Do they find someone who worked in the exact company, supply chain layer, or customer segment you need — or a generic industry contact? Precision matters more than pool size.
- Workflow friction: How many steps between a request and usable insight? Platforms that require excessive back-and-forth or manual scheduling kill adoption.
- AI and tool integration: Does the network's content surface inside the research and AI tools your team already uses? In 2026, this is a real differentiator — not all networks have invested in it.
- Commercial terms: Subscription models that align with how you actually use the network are better than credit systems that create scarcity behaviour and undermine engagement.
The 8 Best Expert Networks in 2026
1. Third Bridge — Best All-Round Primary Research Provider
Overview
Third Bridge is a global provider of primary research and expert-led insights, built around capturing the qualitative judgment, operational detail, and management context that sit behind reported financials — and making it available to clients in the format that best suits their workflow. Founded in 2007 and generating $287m in revenue in 2025 (15% year-on-year growth), it serves asset managers, private equity firms, hedge funds, credit investors, and corporate strategy teams across 13 global offices.
What distinguishes Third Bridge in 2026 is not just what it produces, but where clients can consume it. Third Bridge has invested heavily in distribution: Forum content is now available inside Bloomberg, FactSet, Capital IQ, LSEG Workspace, Aiera, Hebbia, and Snowflake. Critically, it is also accessible via Claude for Financial Services through a dedicated MCP (Model Context Protocol) server — meaning permissioned clients can query the entire expert transcript library using natural language inside Claude, without leaving their AI workflow.
This MCP integration matters because it changes the implementation model. Where legacy data feeds required clients to manage S3 or SFTP delivery, entity mapping, normalisation, and internal hosting, MCP-based access reduces that to a permissioned connection — closer to flipping a switch than running an ETL pipeline. As more institutional teams build AI-native research workflows, the network with the best distribution infrastructure wins.
Key Features
- Forum transcript library: approximately 90,000 analyst-led expert call transcripts covering companies, sectors, and value chains globally — the largest and most respected in the industry. Analyst-led interviews produce more structured, comparable insights than investor-led formats.
- MCP server integration: Third Bridge content is accessible via Claude for Financial Services through a dedicated MCP server, enabling natural-language querying across the transcript library inside AI workflows with no ETL overhead.
- Company value chains: proprietary structural models of how a business creates and defends value, built from multiple expert perspectives — unique to Third Bridge.
- Custom expert sourcing: all live experts are actively recruited for each brief rather than pulled from a static pool, reducing the risk of stale or irrelevant profiles entering the research process.
- Broad distribution across legacy and AI platforms: Bloomberg, FactSet, Capital IQ, LSEG Workspace, Aiera, Hebbia, and Snowflake — content delivered wherever institutional teams already operate.
- Human-verified intelligence: every transcript and expert engagement produces auditable, sourceable insight with full provenance — essential in investment workflows where fidelity is non-negotiable.
- Specialist verticals: dedicated expert teams for healthcare (including key opinion leaders and physicians), technology, credit, and other sectors with distinct sourcing requirements.
Why We Picked It
Third Bridge is the only primary research provider that combines analyst-led transcript depth, live custom expert sourcing, and genuine distribution into both legacy financial platforms and modern AI tools. The Forum library is a core reason PE and M&A teams choose Third Bridge over alternatives. Getting smart on a sector or company before committing budget to a live call changes the research cost curve and the quality of the conversation when you do place one.
The MCP angle is significant. Most expert networks are platform-first: clients access insight only through the provider's own interface. Third Bridge has invested to go the other way — content available wherever institutional teams already work. The MCP server for Claude for Financial Services means that a permissioned user can query 90,000 expert transcripts in natural language inside Claude, grounded in proprietary expert data rather than public web content. That is a meaningfully different product from a generic AI assistant.
As generative AI commoditises information drawn from the open web, the scarcity value of primary, human-verified intelligence rises. Third Bridge is built around that scarcity — and has built the distribution infrastructure to deliver it where AI workflows actually live.
Pros
- Best-in-class analyst-led transcript library — structured, deeply curated, and continuously refreshed.
- MCP server for Claude for Financial Services: query 90,000 expert transcripts in natural language inside your AI workflow, no ETL required.
- Widest third-party distribution of any primary research provider — Bloomberg, FactSet, Capital IQ, LSEG, Hebbia, Aiera, Snowflake, and more.
- AI outputs grounded in proprietary, human-verified expert data — not scraped web content.
- Custom sourcing model reduces the risk of stale or irrelevant experts entering the research process.
- Strong specialist coverage in healthcare, credit, and technology with dedicated expert teams.
Cons
- Premium pricing — bundling calls and library access can be costly for teams with lighter usage patterns.
- Turnaround for highly urgent live requests outside structured workflows can be slower than AlphaSights.
Pricing
Subscription-based, typically bundling Forum library access with live call credits. Teams that use both calls and transcripts regularly find the model more cost-effective than credit-based alternatives. Contact Third Bridge for current rates.
Ideal Use Cases
- Private equity and M&A diligence — get smart on a company via Forum before committing to a live call.
- Hedge funds and credit investors running systematic sector monitoring and portfolio updates.
- Research teams operating inside Bloomberg, Hebbia, Claude for Financial Services, or other AI-native tools.
- Organisations building AI-native research workflows that need auditable, sourceable primary data.
Third Bridge delivers primary research and expert-led insights directly into your existing AI and research workflow via MCP, Bloomberg, Hebbia, and more. Request a trial to see how it fits your mandate.
2. GLG (Gerson Lehrman Group)
Overview
GLG is the original expert network, founded in 1998, and remains the largest in the world by database size. With over 900,000 vetted experts across 150+ countries and 50+ in-house compliance professionals, it is the default choice for large investment firms and organisations where regulatory rigor and institutional scale are non-negotiable.
Key Features
- 900,000+ vetted experts spanning virtually every sector and geography.
- Deepest compliance infrastructure in the market — 50+ compliance staff, training in 20 languages.
- Enterprise workflow support for large, complex, multi-market research programmes.
- Growing transcript archive and pre-recorded expert interviews.
- Established relationships with major banks, PE firms, and global consulting groups.
Why We Picked It
GLG is the benchmark for scale and institutional compliance. For organisations where regulatory risk management is the primary procurement criterion, or where research spans dozens of markets simultaneously, GLG's breadth is difficult to match. That breadth comes with trade-offs in speed and flexibility.
Pros
- Unmatched global expert coverage and database depth.
- Strongest compliance framework in the industry.
- Proven track record with the largest institutional buyers.
Cons
- Slowest turnaround of any major provider — scale creates friction.
- Highest pricing with limited flexibility for smaller or more agile teams.
- Database-first approach reduces sourcing precision for highly niche requests.
Pricing
Annual subscriptions are standard for high-volume users. Credit-based pricing also available. Premium-tier rates — typically at the higher end of the market.
Ideal Use Cases
- Large investment firms and banks with complex, multi-jurisdictional research needs.
- Organisations where compliance infrastructure is a primary vendor selection criterion.
- Enterprise procurement teams that need predictable, high-volume delivery.
3. AlphaSights
Overview
AlphaSights was founded in 2008 and has built its reputation on execution speed and high-touch project management. It is one of the most widely used expert networks among top-tier strategy consulting firms globally, with sourcing teams able to deliver relevant expert shortlists on well-scoped briefs within hours.
Key Features
- Rapid expert matching — often within a few hours for clearly defined research questions.
- High-touch client service layer coordinating the full project lifecycle.
- Multilingual sourcing teams across major global markets.
- AlphaNow platform with searchable transcript archive and AI summarisation (added 2024).
- Deal Advisors service for longer-term senior operator engagements.
Why We Picked It
AlphaSights earns its place on the list through consistent execution on the traditional expert call use case. For consulting teams with tightly scoped briefs and demanding turnaround requirements, the white-glove service model is genuinely valuable. Its transcript library is less mature than Third Bridge — having launched roughly three years ago — and its credit-based access model can create friction for teams trying to engage deeply with prior research.
Pros
- Fastest expert matching of any major network for standard requests.
- Strong project management support throughout the research process.
- High adoption among leading consulting firms globally.
Cons
- Transcript library is less extensive and less mature than Third Bridge or AlphaSense/Tegus.
- Credit-based library access can create hesitation about engagement — teams weigh whether each transcript justifies a credit rather than browsing freely.
- Platform-first delivery model offers less flexibility for teams who want content in their existing tools.
Pricing
Credit-based or subscription. Premium pricing, particularly for time-sensitive or senior-expert requests. Credit multiples per call can make the true hourly cost higher than headline rates suggest.
Ideal Use Cases
- Strategy consulting firms running time-pressured diligence projects.
- Corporate teams with well-scoped briefs that need rapid, service-supported delivery.
- Teams that value managed service over self-serve research.
4. Guidepoint — Best for Broad Sector Coverage
Overview
Guidepoint operates one of the largest expert databases globally, with over one million profiles spanning 200+ industries. It offers multiple engagement formats — calls, surveys, panels — making it a versatile option for research teams with diverse needs. It is well-established across private equity, hedge funds, and corporate research environments, particularly in North America.
Key Features
- One million+ expert profiles across 200+ industries.
- Guidepoint Insights transcript product for prior expert interview access.
- Qsight analytics platform for data-driven channel checks and market insights.
- Flexible engagement formats: calls, surveys, panels, and custom research.
- Commercially flexible subscription structures.
Why We Picked It
Guidepoint offers a practical balance of coverage breadth and commercial flexibility. For teams that need to span many sectors without committing to a single specialist provider, and that value the optionality of surveys and panels alongside calls, it is a solid choice. The database-first model can reduce precision for highly niche or emerging-market requests.
Pros
- One of the broadest expert databases globally.
- Flexible formats covering calls, surveys, and panel research.
- Commercially pragmatic on enterprise procurement.
Cons
- Database-first approach can reduce sourcing precision for niche briefs.
- Slower AI adoption relative to newer competitors.
- Transcript library quality lags Third Bridge and AlphaSense/Tegus.
Pricing
Credit-based or subscription. Considered more commercially flexible than GLG or AlphaSights. Multiple tiers available.
Ideal Use Cases
- Investment and corporate teams needing wide expert coverage across established sectors.
- Research programmes requiring a mix of calls, surveys, and panel formats.
- Teams that value commercial flexibility and predictable contract terms.
5. AlphaSense / Tegus
Overview
Tegus was founded in 2016 and built the investment research market's most widely-used transcript library, with over 200,000 investor-led expert call transcripts covering 25,000+ companies. In July 2024, AlphaSense acquired Tegus for $930 million, combining that library with AlphaSense's AI-powered market intelligence platform, financial filings, broker research, and news. The combined platform is now the most technically advanced research environment in the market by volume of AI integration.
Key Features
- 200,000+ expert call transcripts — the largest library by volume, covering 25,000+ companies.
- AskTegus and Gen Search: natural-language AI querying across the full transcript archive.
- Integrated platform combining transcripts, financial models, SEC filings, and broker research.
- Trusted by over 50% of Midas List VCs and thousands of institutional investors.
- Live expert call sourcing available alongside the transcript library.
Why We Picked It
For investment professionals whose research workflow is already built around reading transcripts before placing calls, AlphaSense/Tegus offers more raw volume than any other provider. The AI search layer is genuinely capable. The key distinction from Third Bridge is that Tegus transcripts are investor-led, meaning they reflect client questions rather than analyst-structured interviews. Third Bridge's Forum transcripts are analyst-led, typically producing more structured and comparable insights. Teams should test both and assess which serves their research style better.
Pros
- Largest transcript library by volume, with AI search that works across it.
- Strong for systematic investment research workflows.
- Trusted across the institutional investor community.
Cons
- Investment-first focus makes it less suited for consulting, corporate strategy, or non-finance research.
- Prices increased materially post-merger; some users have moved to alternatives.
- Investor-led transcript format is less structured than Third Bridge's analyst-led model.
- Less flexible for bespoke or niche expert sourcing outside the transcript model.
Pricing
Seat-based subscription. Prices have risen since the AlphaSense acquisition. Best value for teams that will use the transcript library heavily alongside the broader AlphaSense platform.
Ideal Use Cases
- Hedge funds and institutional investors building transcript-first research workflows.
- Teams that already use AlphaSense for market intelligence and want to add expert transcripts.
- Investment research environments needing AI-powered search across a large transcript corpus.
6. Atheneum — Best for Life Sciences and Multi-Regional Research
Overview
Founded in 2010 in Berlin, Atheneum has grown into a global expert network with over one million expert advisors across 11 offices, including London, New York, Seoul, and Hong Kong. It is particularly well-regarded for life sciences and healthcare research, and for multi-regional projects that require coordinated coverage across Europe, Asia-Pacific, and the Middle East. Its Research-as-a-Service model bundles calls, reports, and expert recruitment into integrated research engagements.
Key Features
- One million+ expert advisors with strong life sciences and healthcare depth.
- 11 global offices with genuine multi-regional reach.
- Research-as-a-Service model for longer-term, bundled engagements.
- Machine learning integrated into expert recruitment workflows.
- Ranked among Europe's fastest-growing companies.
Why We Picked It
Atheneum fills a genuine gap for clients with European or Asia-Pacific scope and specialist life sciences needs. Its RaaS model is well-suited to organisations that want a more managed, ongoing research relationship rather than transactional call delivery.
Pros
- Strong multi-regional depth, particularly in Europe, APAC, and life sciences.
- RaaS model suits longer-term, complex research engagements.
- Large expert advisor network with machine-learning-assisted matching.
Cons
- Limited transcript library compared to Third Bridge or AlphaSense/Tegus.
- Less well known in North American investment research contexts.
- Pricing transparency is lower than some alternatives.
Pricing
Project-based or subscription. RaaS model can bundle multiple research outputs into one engagement. Contact for current rates.
Ideal Use Cases
- Life sciences, healthcare, and biopharma research teams.
- Multi-regional strategy projects spanning Europe and Asia-Pacific.
- Teams that want managed, bundled research support rather than self-serve access.
7. NewtonX — Best for AI-Native B2B Research
Overview
NewtonX is a technology-led expert research provider built around custom recruiting and AI-driven validation rather than a static expert database. For every project, NewtonX actively identifies and vets experts from scratch using AI-assisted outreach and relevance scoring. This approach is particularly effective for technology, SaaS, and digital sectors where specific technical or commercial expertise is required and standard databases tend to surface generic profiles.
Key Features
- Custom recruiting per brief — no static expert pool, no pre-matched profiles.
- AI-driven identification, outreach, and relevance scoring for each project.
- Strong coverage in B2B technology, SaaS, and digital sectors.
- Transparent sourcing model with vetting documentation.
- Custom survey capabilities alongside expert calls.
Why We Picked It
NewtonX earns a place on this list for its approach to sourcing precision. For research questions in technology and B2B markets where standard expert databases consistently produce off-target profiles, the custom-recruiting model is a genuine alternative. It is not the right choice for teams that need to read prior expert insights before a call — there is no transcript library.
Pros
- High sourcing precision for B2B tech and digital research questions.
- No stale database profiles — every expert is actively recruited for the brief.
- Transparent sourcing and vetting process.
Cons
- No transcript library — not suitable for teams that want to get smart before a live call.
- Less suited for non-tech sectors where standard databases perform adequately.
- Project-based model may be less efficient for high-frequency research needs.
Pricing
Project-based. Pricing adapts to research scope. Contact for current rates.
Ideal Use Cases
- Technology, SaaS, and B2B digital research requiring precise technical expertise.
- Projects where standard expert databases consistently deliver off-target profiles.
- Teams that prioritise sourcing precision over library access.
8. Silverlight Research — Best for Boutique Institutional Research
Overview
Silverlight Research is a UK-headquartered global expert network founded in 2017, operating a database-backed model structured around institutional workflow integration and compliance-managed engagement. It is frequently referenced alongside GLG, AlphaSights, Third Bridge, and Guidepoint as part of the "Big 5" expert networks commonly evaluated by institutional research teams, and is particularly used by smaller investment firms that value a boutique, compliance-first engagement model.
Key Features
- Database-backed expert network with institutional compliance framework.
- Structured engagement model suited to regulated investment environments.
- Frequently referenced in institutional procurement alongside the major networks.
- Multi-sector expert coverage across global markets.
Why We Picked It
Silverlight earns its place as a recognised alternative within institutional research procurement. For smaller teams that want an expert network with a clear compliance framework and a more relationship-driven engagement model, it is worth evaluating alongside the larger providers.
Pros
- Compliance-managed engagement model aligned with institutional requirements.
- Boutique approach suited to smaller investment teams.
- Recognised within institutional procurement frameworks.
Cons
- No transcript library.
- Smaller scale than the major networks.
- Less suited for high-volume or time-critical research workflows.
Pricing
Credit-based or subscription. Contact for current rates.
Ideal Use Cases
- Smaller investment firms that value boutique service and compliance clarity.
- Teams evaluating multiple expert networks within institutional procurement frameworks.
Third Bridge vs. Alternatives: How They Compare
| Third Bridge | GLG | AlphaSights | AlphaSense / Tegus | |
| Transcript library | Best-in-class (analyst-led) | Partial | Partial (credit-gated) | Largest by volume (investor-led) |
| Speed to expert | Fast (custom sourcing) | Slow | Very fast | Fast (library-first) |
| AI / workflow integration | Bloomberg, Hebbia, Claude, Aiera, Snowflake | Internal tools | AlphaNow platform | AskTegus; AlphaSense platform |
| Compliance strength | Strong | Best-in-class | Strong | Standard |
| Best for PE / M&A | Yes | Yes | Yes | Yes |
| Best for public equity | Yes | Yes | Limited | Yes |
| Best for credit | Yes (HY, distressed, private credit) | Limited | Limited | Limited |
| AI / MCP integration | MCP server for Claude FS; Hebbia, Aiera, Bloomberg, Snowflake | Internal tools only | AlphaNow platform only | AskTegus / AlphaSense platform |
| Access via 3rd-party tools | Yes — widest distribution in market | Limited | Platform-only | AlphaSense platform only |
Final Verdict
If you need primary research and expert-led insights that integrate into the AI and research tools your team already uses — and you want analyst-led transcript depth alongside live custom sourcing — Third Bridge is the strongest all-round choice in 2026.
GLG wins on compliance infrastructure and enterprise scale. AlphaSights wins on speed for consulting-style project work. AlphaSense/Tegus wins on raw transcript volume for systematic investment research. But none of them combine analyst-led transcript quality, human-verified intelligence with full provenance, custom live sourcing, and genuine distribution across Bloomberg, Hebbia, Claude for Financial Services via MCP, and the other tools institutional teams are actively building AI workflows around.
As generative AI commoditises information drawn from the open web, the scarcity value of primary, sourceable expert intelligence rises. Third Bridge is built around that scarcity — and has invested in the MCP server, data partnerships, and platform integrations to deliver it wherever institutional workflows live. The networks that have made that investment are pulling ahead.
Ready to see how Third Bridge integrates with your existing research and AI workflow? Request a trial and we'll show you what Forum, live sourcing, and MCP-powered access look like for your specific mandate.
FAQs
What is the best expert network in 2026?
The answer depends on your use case. Third Bridge leads for teams that need both transcript access and live expert sourcing, with broad distribution into AI tools. GLG leads for enterprise scale and compliance. AlphaSights leads for consulting-style speed. AlphaSense/Tegus leads for raw transcript volume. Use the criteria in this guide to match to your specific workflow.
What are the Big 5 expert networks?
The term "Big 5" typically refers to GLG, AlphaSights, Third Bridge, Guidepoint, and a fifth that varies by context — often Silverlight Research or Atheneum in European institutional research environments. Most institutional procurement teams evaluate multiple providers simultaneously and select on a project-by-project basis.
How much do expert networks cost?
Most charge between $900 and $1,500 per hour of expert consultation, through either credit-based or subscription models. Credit systems often charge 1.5 to 2x credits per call depending on expert seniority, making the true hourly cost higher than headline rates. Subscription models aligned with actual usage patterns typically offer better value for high-frequency research teams.
Do expert networks have transcript libraries?
Not all of them. Third Bridge (Forum) and AlphaSense/Tegus have the most developed and searchable libraries. Third Bridge transcripts are analyst-led; Tegus transcripts are investor-led. GLG and Guidepoint have growing archives. AlphaSights offers a credit-gated transcript product. NewtonX and Silverlight Research focus on live call sourcing only.
Which expert network is best for private equity?
Third Bridge is most commonly selected by PE teams that run structured diligence workflows. The Forum library supports early-stage idea generation and screening before live calls begin. GLG and AlphaSights are also widely used in PE. AlphaSense/Tegus is increasingly adopted for transcript-first deal research.
Which expert network integrates with AI tools?
Third Bridge offers the broadest distribution: Forum content is accessible in Bloomberg, FactSet, Capital IQ, LSEG Workspace, Aiera, Hebbia, and Snowflake, and via Claude for Financial Services through a dedicated MCP (Model Context Protocol) server. This means permissioned clients can query the expert transcript library in natural language inside Claude without any ETL or data engineering overhead — closer to flipping a switch than managing a data feed. AlphaSense/Tegus has strong AI capabilities within its own platform via AskTegus and Gen Search. Most other networks require use of their proprietary platform.