GLG Alternatives & Competitors: Expert Network Options (2026)

When research teams search for GLG alternatives, the question behind the query is rarely "which other broker has the same model?" The real questions are more specific: Can we get comparable expert access at lower cost? Can we run higher volumes without proportional overhead? Does this platform fit how we work — our compliance requirements, our output formats, our speed expectations? The answer to those questions depends on what kind of alternative you are actually looking for.

This piece maps the main options: the established networks that compete directly with GLG on broker-managed access, the AI-moderated shift that is changing how all of these platforms work, and — if you run an expert network yourself — what this landscape means for how you compete.

What GLG Is (and Why Teams Look Elsewhere)

GLG (Gerson Lehrman Group) is the largest independent expert network by expert headcount and client base. It operates a broker-managed model: a proprietary network of over a million experts, recruited and credentialed in-house, matched to client requests by account teams who then coordinate scheduling and sometimes moderate the call.

The GLG model has genuine advantages. Experienced account teams develop tacit matching knowledge that is hard to replicate — they know which experts communicate clearly, which ones have operational versus theoretical depth, and which ones are genuinely available for a given call type. For relationship-dependent, high-stakes calls, that institutional knowledge has real value.

Teams look elsewhere for predictable reasons. The per-call pricing model is opaque, typically in the $800–$1,500 range for domestic experts and higher for international or executive-level access, and it bundles sourcing, scheduling, and compliance overhead whether you need all three or not. Scaling volume means scaling broker coordination capacity — the model does not become more efficient as your call program grows. And the output from a GLG call is typically raw conversation, which requires downstream transcription and synthesis before insights circulate within the organization.

The Main GLG Alternatives

Tegus (AlphaSense)

Tegus is not a separate company from AlphaSense — it is AlphaSense's expert network product following the 2024 acquisition. AlphaSense, originally a financial document intelligence platform, acquired Tegus and integrated it into a broader research environment that indexes expert call transcripts alongside earnings transcripts, filings, and third-party research.

The combined platform competes with GLG on depth of content rather than on call brokerage alone. A user searching for expert knowledge on a company can find prior call transcripts immediately rather than commissioning a new call, with the option to schedule new calls through the network. This bundled model — content plus access — is a different value proposition from a standalone expert network.

AlphaSense has also built AI-moderated call capabilities in-house, integrating automated vetting and structured interview tooling into its platform. The acquisition of Tegus and the AI-moderated call build are connected — they reflect a strategy of replacing broker intermediation with automation at scale.

For a detailed side-by-side of how AlphaSense/Tegus, Dialectica, and other networks compare on vetting models, call execution, and pricing structure, see Expert Network Companies Compared (2026).

Dialectica

Dialectica is a boutique expert network with a strong reputation for fast turnaround and account management quality. It operates a broker model similar to GLG, with proprietary recruitment and human moderation, but positions itself on responsiveness and service — faster matching, more attentive account teams, and more flexibility on call structure than larger incumbents typically offer.

For research teams that want broker-managed access at a smaller scale, with tighter account relationships and faster execution, Dialectica is the most frequently cited alternative. The pricing model is comparable to GLG; the differentiation is on service quality and account attention rather than structural cost reduction.

Specialist and Vertical-Specific Networks

A distinct category of GLG alternative is the networks that do not try to match GLG's breadth but instead go deeper in a specific domain. Sector-focused networks in healthcare, tech, energy, and financial services recruit experts with credentials that generalist networks cannot easily match. An oncology research network with clinical investigators; a semiconductor-focused network with active engineers and supply chain managers; a regulatory-focused network with former FDA or EMA officials — these networks offer access to expert populations that do not surface in broad databases.

Specialist networks typically have smaller total expert pools but higher relevance rates for the right use cases. If your research is concentrated in a domain where generalist networks have shallow coverage, the relevant question is not "is this network bigger than GLG?" but "does this network have the people I actually need?"

The Shift That Changes the Comparison: AI-Moderated Calls

The comparison above describes a relatively stable market. What is disrupting it — and changing the criteria for every GLG alternative evaluation — is the adoption of AI-moderated calls.

AlphaSense built AI-moderated call capabilities in-house and deployed them as a core layer of its expert access product. The AI agent conducts the interview, generates the transcript and summary, and indexes the output alongside the broader content corpus. This is not a feature addition — it is a structural change in how expert knowledge gets captured and distributed.

The implications for the broader comparison: every network that has not yet built AI-moderated call capability is operating at a cost structure and output quality disadvantage relative to platforms that have. Broker-mediated calls produce expensive, inconsistent output. AI-moderated calls produce cheap, consistent, structured output at scale. The question is not whether AI-moderated calls will become standard across expert networks — they already are, among the platforms that can execute them.

For a full explanation of what AI-moderated calls are, how they work operationally, and where they fit across different call types, see What Are AI-Moderated Calls?.

If You Run an Expert Network

If you operate an expert network — boutique or mid-size, generalist or specialist — the above comparison is the market you compete in. GLG, AlphaSense/Tegus, and Dialectica are not your primary competition; they serve a different buyer relationship (large institutional mandates, multi-year contracts, white-glove account management). Your competition is the research teams and operators who are choosing between relying on large incumbents and building more autonomous call programs — and the networks that have already equipped themselves to offer AI-moderated calls as a service.

The practical opportunity is clear: offer AI-moderated calls to your clients before your peers do. The research teams who have used AI-moderated calls through AlphaSense start asking why their other expert network relationships cannot provide the same capability. The expectation is spreading network by network.

The economics make it accessible. You do not need to build the infrastructure in-house. You need to configure an AI agent calibrated to your client use cases, connect it to your expert scheduling workflow, and begin offering AI-moderated calls as a product line — channel checks, market surveys, structured vetting, expert onboarding. From $499/mo, the infrastructure cost is a line item, not an engineering investment.

The dual application matters for operations, too. AI-moderated vetting calls cut the per-expert screening cost substantially: no scheduler, no human screener, no documentation backlog. Whether your network is onboarding 100 or 1,000 experts per month, the vetting function scales without headcount.

If you want to see how expert networks are using AI-moderated calls in practice — both for internal vetting and as a client-facing service — the InsightAgent for Expert Networks overview covers the full capability set and how it fits into existing network operations.

If you run an expert network and want to see AI-moderated calls in action before making any decision, the demo is the fastest path — you speak with the AI agent directly:

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