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Best Expert Networks for Private Equity: Cost 2026

Best expert networks for private equity compared on real cost: GLG audited SEC figures imply $25,600 per user, plus AlphaSights, Third Bridge and Guidepoint.

By the Investables.ai team

September 2026 · 9 min read

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GLG is the largest expert network and the only one that has ever filed audited financials, and those filings imply about $25,600 of annual contract value per user and roughly $192,000 per client account. AlphaSights is the next largest at an implied $256m of 2020 revenue on GLG's own comparison. Third Bridge and Guidepoint are smaller and generally quote below both. Nobody in this market publishes a rate card, so the practical question for a private equity buyer is not which network is cheapest but which pricing structure fits how your deal flow actually arrives. Figures below are from SEC filings and public contract records, retrieved 1 September 2026. Educational only, not procurement or investment advice.

Best expert networks for private equity, compared

Private equity uses expert networks differently from a hedge fund. A fund running a continuous book wants steady access all year. A deal team wants twelve calls in three weeks during exclusivity and then nothing for two months. That difference is the whole negotiation, because every network in this table prices access annually and the mismatch is where money gets wasted.

NetworkBest fit in private equityHow it pricesWhat is actually documented
GLGLarge funds with year-round diligence and portfolio workTime-based or consumption-based annual subscription, plus standalone projectsAudited SEC filing: $589.1m revenue 2020, $480.0m ACV, 18,733 users, 2,500-plus accounts
AlphaSightsDeal teams that want fast turnaround on niche operator profilesAnnual subscription, quote onlyNothing filed. GLG stated it was 2.3x AlphaSights on 2020 revenue, implying about $256m
Third BridgeMid-market funds that want transcripts as well as callsAnnual subscription with a transcript library tierNothing published. UK-registered, accounts filed as images
GuidepointSmaller funds and one-off diligence sprintsAnnual subscription, commonly reported as the cheaper entryNothing published
Tegus, now part of AlphaSenseTeams that read more than they callBundled into AlphaSense content tiers since the 2024 acquisitionAcquisition price disclosed at $930m, July 2024. No seat price published

One honest caveat before the numbers: only the GLG row is evidence. Everything else in the last column is either absence or a third-party report, and we have flagged which is which rather than smoothing it over.

How much do expert networks cost?

For a private equity buyer, expect a six figure annual commitment at GLG and a lower five to six figure commitment at the smaller networks. The only figure anywhere with an audit behind it is GLG's, and it works out at roughly $192,000 per client account per year and about $25,600 per named user.

That derivation is worth understanding because it is the one anchor you can carry into a negotiation. On 18 October 2021 Gerson Lehrman Group filed a Form S-1 with the SEC. It reported $480.0m of annualized contract value for 2020 against 18,733 unique GLG Direct users, which is $25,623 per user. It also stated the company serviced more than 2,500 active customer subscription accounts a year, which puts the average account at about $192,000. GLG withdrew the offering in March 2022, so that filing is still the only financial disclosure the company has made. We work through every line of it, including the quarterly series and the retention data, on our GLG cost and pricing page.

The ranges you find elsewhere, $50,000 to $150,000, or $80,000 to $300,000, or $1,500 an hour, are not wrong so much as unsourced. Almost all of them appear on blogs run by smaller expert networks selling against GLG. Treat them as marketing rather than data.

Should private equity buy a subscription or pay per call?

Pay per call looks right for deal-driven work and usually is not, once volume passes about a dozen calls a year. The reason is visible in GLG's own accounting. Subscription revenue was 90.2% of GLG's 2020 total and 89.1% of its 2019 total. The transactional line, which is where per-project and per-engagement work sits, is defined in the filing as discrete projects with defined deliverables such as surveys, plus law firm clients using experts as witnesses. That is the legal and market research end of the business, not the buy side.

So a per-call arrangement at GLG is a starter relationship. If your fund is running three or four processes a year with ten to fifteen calls each, you are already in subscription territory and paying transactional rates for it.

The structure worth asking for is a consumption-based subscription. GLG defines it precisely: annualized contract value on those contracts reflects the contractual minimum commitment plus upgrades during the term where consumption has exceeded that minimum. You commit to a floor and pay for overage. For a fund with lumpy deal flow that is far better than a flat seat count, because the floor can be set to your quiet quarters rather than your busiest one. The two numbers to negotiate are the minimum and the overage rate, in that order.

Does scale get you a discount?

Yes, and there is exactly one public data point on how much. GLG's filing discloses that it terminated a large consulting firm client in October 2020 that had carried $29.5m of ACV in the twelve months to June 2020, across an average of 1,618 unique users. That is about $18,232 per user per year, against a company-wide average of $25,623 in the same period. So the largest account in the business, at more than a thousand seats, paid roughly 29% below average.

Twenty-nine percent for an account of that size sets a realistic ceiling on what a fund with twenty or thirty users should expect. If you are being told a volume discount will halve your rate, the one account we can actually observe did not get that.

The same filing gives you a sense of the top of the market. The largest single client accounted for about 6% of sales in 2019 and about 5% in 2020, which on $589.1m of revenue is roughly $29.5m a year. The top ten clients together took about 19% of sales, an average of $11.2m each. Those are consulting firms and the very largest funds, not the middle market.

Which expert network has the best coverage?

GLG on raw panel size, with approximately 1,000,000 profiled network members at the time of the filing, split roughly 550,000 in the Americas, 225,000 in EMEA and 205,000 in APAC. For a US buyout fund looking at US industrials or healthcare services, that Americas number is the one that matters and nobody else discloses a comparable figure.

Panel size is not the same as usable coverage, though. Deal teams consistently report that the smaller networks return a shortlist faster on narrow asks, because the recruiters have less to filter and more incentive to win the relationship. If your diligence questions are unusual, run a paid pilot on two networks with the same brief and compare the shortlists rather than the panel counts.

What compliance rules apply to expert calls in private equity?

Every major network runs a compliance layer: expert screening against employer restrictions, prohibitions on discussing material non-public information, chaperoning for certain industries, and logging of every interaction. This is not optional decoration. The expert network industry was reshaped by the insider trading prosecutions of the early 2010s, and the controls that exist now are the direct result.

What varies is how much of that burden lands on you. Some networks put the full compliance record in your hands and expect your own policy to govern; others chaperone by default. If your firm is registered, your compliance officer will want the interaction log, the expert attestations and the screening criteria in writing before the first call, and that request should be part of the RFP rather than an afterthought. Funds that formalize this properly usually end up running an obligations register alongside it, and the same discipline applies to the operational diligence work that follows, where a structured organizational assessment platform gives you a repeatable scorecard for a target's culture and process maturity instead of a partner's recollection of a site visit.

Do you still need an expert network if you have AlphaSense or Tegus?

They solve adjacent problems, not the same one. AlphaSense acquired Tegus for $930m in July 2024, which brought more than 200,000 expert call transcripts covering roughly 25,000 companies into a searchable library. That library is genuinely useful and it is cheaper than commissioning calls, because somebody else already paid for them.

What it cannot do is answer a question nobody has asked yet. In a live process the questions that matter are specific to the target, the thesis and the risk you cannot get comfortable with, and no transcript archive contains them. The practical split most funds land on is a transcript subscription for the screening and thesis-building phase, and a network commitment sized for confirmatory diligence. Our AlphaSense pricing guide covers what that side costs and where the public evidence stops, and the AlphaSense vs PitchBook comparison is the right read if you are also weighing a deals database in the same budget cycle.

How to negotiate an expert network contract

Four things, in order, and they work on any network in this market.

Set the minimum to your floor, not your forecast. On a consumption contract the minimum is the only part you are certain to pay. Fund deal flow is lumpy and the sales process will anchor you on a good year. Price the quiet year and buy the overage.

Get the overage rate in writing as a number, not a formula. This is where the money leaks. A minimum that looks generous with a punitive overage rate is worse than a higher minimum with a flat one, and you will not discover that until month nine.

Cap the renewal escalator. Across the wider research vendor market we have measured renewals from exactly 0.00% to exactly 20.00% on contiguous like-for-like contracts, and over a three year term that spread costs more than any first-year discount is worth. The same logic runs through our PitchBook cost guide, where the audited federal record shows the same vendor moving a renewal 18.75% one year and 5.00% another.

Ask what happens to unused commitment. GLG's wallet retention fell to 91.3% in 2020, which means existing clients successfully reduced their spend that year. Rollover of unused units, even partial, is a real concession that gets granted and almost never gets offered.

What does an expert network cost against a research subscription?

Very different orders of magnitude, which is the point. A GLG seat carries about $25,600 of annual contract value on the audited average. A PitchBook seat sits between $7,000 and $10,500 on federal awards that name a license count. A Capital IQ seat comes in around $14,451 on the largest federal award naming one. A private markets database such as Preqin runs lower again per seat, and our Preqin pricing guide has the federal award series behind that.

An expert network is the most expensive line on a research budget per unit of output, and it should be, because it is the only one producing information that does not already exist somewhere. The mistake funds make is buying it to answer questions the structured data already answers. Screen with a database, read with a transcript library, and spend the network commitment only on what genuinely requires a human on a call.

The short version

GLG is the largest network and the only one you can price from an audited document: about $25,600 per user and roughly $192,000 per account on 2020 figures, with the biggest client in the business at $29.5m and a 29% discount at more than a thousand seats. AlphaSights is the closest competitor at an implied $256m of 2020 revenue. Third Bridge and Guidepoint are the pragmatic mid-market choices and publish nothing at all. Whichever you pick, negotiate the minimum commitment and the overage rate rather than the headline, and cap the escalator before you sign.

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