Capital Markets & Research AI
G

Gain

Gain, formerly Gain.pro, sells private market intelligence to private equity investors, M&A advisers, corporate development teams and consultancies. It profiles private companies, investors, deals and advisers so dealmakers can find targets and map markets.

Hundreds of researchers check the profiles that its automated collection assembles. On top sit AI search, market mapping, watchlists that surface opportunities on their own and an agent that turns data into next steps. It syncs with Salesforce and DealCloud and offers an Excel add in, API feeds and an MCP connection.

Gain states more than 400 enterprise clients, including Bain Capital, Nordic Capital and PwC, and a customer story credits it with cutting research and screening time by two thirds at Egeria. It holds SOC 2 Type 2. Gain.AI B.V. is based in Amsterdam.

Last VerifiedOctober 3, 2026
Compare Gain with other vendors
Founded
2018
Headquarters
Amsterdam, Netherlands
Website
www.gain.ai
Categories
capital-markets-ai, wealth-and-advisory
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 8 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

Search, market maps that suggest likely buyers and self running watchlists all lean on models, but underneath is a human verified database of private companies, deals and investors that would stand without them.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Newer features act on their own, with watchlists surfacing opportunities and an agent turning data into workflow actions, and whether that output gets the human review the core data does isn't said.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Hundreds of researchers check profiles and analysts review incoming data, which guards against a confident error reaching an investment committee. Accuracy rates and validation of the AI search aren't published.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

Egeria, a private equity firm, cut research and screening time by two thirds, and Bain Capital and Nordic Capital are among the other named customers.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

Clients attach their own notes and CRM signals to shared company profiles while competing buyout firms use the same platform, and whether that intelligence stays visible only to the firm that added it isn't stated, nor whether it trains the models.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

The January 30, 2026 privacy statement covers the professionals profiled in the database as well as platform users, keeping profile data for three years after someone leaves a role.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

SOC 2 Type 2 is audited annually, with reports available on request, and single sign on, SCIM provisioning and role based access are in place.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

European data protection law is the only regime named, and the non public government registers among its sources come with no stated license terms.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Disclosure by private companies varies widely by country, so businesses in thinly documented markets are harder to find and less likely to draw investor interest, and Gain publishes nothing on profile depth by country.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

Profiled individuals can ask to correct or erase their data, but a client who relies on a wrong profile gets no published guarantee, and companies flagged as likely targets have no route at all.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

Sources are described by type, from government registers to the public web, while data suppliers, model providers and processors aren't named individually.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Two way sync with Salesforce and DealCloud, an Excel add in and an MCP connection are all named, though no API reference or marketplace listing is linked.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Transfers outside the European Economic Area follow adequacy rules or standard contractual clauses, but where client notes and CRM data actually rest isn't stated.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Platform access, bulk data and API feeds are sold as separate modes, and nothing published says how cost scales across them.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Private equity investors, M&A advisers and corporate development teams are the core buyers, and many named customers are advisers rather than financial institutions.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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