Wealth & Advisory AI
W

WNSTN AI

WNSTN sells an AI assistant and analytics layer that brokerages and other investing platforms embed in their own apps. The assistant answers client questions in real time and delivers research, analytics and charting across more than 70,000 assets, using data from partners including TipRanks, Benzinga and Acuity. WNSTN Connect gives the firm a live dashboard of what clients ask and how they behave.

The platform deploys through an API or white label widgets, and a Compliance Officer agent checks conversations against rules from FINRA, the SEC, CySEC and MiFID II. In a case study of an unnamed US broker over about 12 months, WNSTN users made 2.3 times more trades than non users, and WNSTN credits itself with an 8.4 percent revenue contribution.

Named customers include Benzinga, Prosperum Fintech Holdings and Meritz Securities in South Korea. WNSTN Inc. is a Delaware company.

Last VerifiedOctober 3, 2026
Compare WNSTN AI with other vendors
Founded
—
Headquarters
New York, New York, United States
Website
wnstn.ai
Categories
wealth-and-advisory, customer-banking-agents, capital-markets-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 9 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Agents are the whole product. They answer investor questions in real time and supply research, analytics and charting.

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

The oversight is itself an agent. A Compliance Officer agent reviews the assistant's conversations, and WNSTN describes the assistant as running within strict guardrails. Nothing says when a licensed person steps in, or where investor education ends and advice begins, which is the line a broker polices.

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

Two real checks are on show: a control group study covering about 12 months and 88,000 trades, and an automated judge that scored conversations 9.96 out of 10 for compliance and 9.07 for relevance. The promise of no hallucinations has no factual error rate behind it.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

Three customers are named, Benzinga, Prosperum Fintech Holdings and Meritz Securities, each with an executive quote but no figures. The hard numbers come from an unnamed US broker, where WNSTN users made a median 2.3 times more trades than non users and the firm credits an 8.4 percent revenue contribution.

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

Several competing brokers run on the same assistant, and WNSTN Connect analyzes behavior across their investors' conversations. Whether one broker's chats shape answers or insights for another is left unsaid, and so is any position on model training.

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

This privacy policy reaches past the website to investors on partner platforms, covering their KYC data and chatbot conversations, and it was last updated July 14, 2024. It never says whether WNSTN processes that data on the broker's behalf, and it sets no retention period.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

Bank grade encryption is the whole security story. With no SOC 2 report, certification or trust center, a broker's vendor review starts from scratch.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Compliance is a product feature rather than a registration. WNSTN trains its compliance agent on rules from FINRA, the SEC and MiFID II but names no license of its own, so the duty to supervise sits with whoever deploys it.

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

More trading and more revenue for the broker is the success metric WNSTN publishes. Frequent trading doesn't always serve retail investors, and there's no measure of investor outcomes or of how answers vary by experience level or language.

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

An investor who acts on a wrong answer about a security has no stated way to challenge it, and WNSTN publishes no commitment for when the assistant gets a fact wrong.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

Market data comes from named partners such as TipRanks and Acuity, and the privacy policy links a list of third party providers. The language models behind the assistant go unnamed.

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

Delivery is built for embedding, with the assistant dropped into a broker's own platform through an API or white label widgets. There's no public API documentation to check compatibility against.

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

Hosting is described only as scalable cloud infrastructure from reputable providers, and data may move to Israel and the United States. For a South Korean broker, the missing region is a real gap.

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

Pricing isn't published for the client assistant or for the analytics dashboard, two products that would usually be priced on different units.

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

Brokerages and other investing platforms are the buyers, with live customers in the United States and South Korea and coverage of more than 70,000 assets. The scope stays with client engagement and research rather than the firm's own operations.

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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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