Wealth & Advisory AI
F

FinMate AI

FinMate AI sells meeting documentation to financial advisers, and its positioning rests on provenance. It was built by an adviser who had the problem himself, and its output is shaped around the meeting types advisers actually run rather than a generic summary format, with distinct templates for discovery, review and the rest. It captures virtual, telephone and in person conversations and records audio and video, which some meeting assistants do not. A mobile application handles face to face meetings, and a recording captured elsewhere can be uploaded for transcription.

From the transcript it produces structured notes, drafts follow up communication, pre fills forms from what was discussed, and infers client mood across a conversation. Notes and tasks push outward to a named set of client relationship systems, and the product connects to the major conferencing platforms and both dominant calendar services, around eleven named connections in all. It operates in five languages: English, Spanish, German, French and Italian. The company has engaged the Australian advice market through its trade media.

Two commitments are published in the company's own voice: a SOC Type II certification, and an undertaking never to train its models on customer data. It is based in San Francisco and was founded by Daniel Yoo.

Last VerifiedAugust 22, 2026
Compare FinMate AI with other vendors
Founded
—
Headquarters
San Francisco, California, United States
Website
finmate.ai
Categories
wealth-and-advisory
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 5 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

Transcription, note generation and form population are all model output, and without them a recorder with idle connectors remains. Filling forms from a spoken exchange goes past documentation into interpretation.

Autonomy and Oversight Model
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism, or full automation is presented as the entire disclosure. Human in the loop appears as a phrase rather than a described control.
Vendor Published

Notes and tasks reach a client system only through an explicit push, a workflow limit rather than a control, and no confidence flag marks an uncertain passage or inferred mood. The retained recording does give a firm a source to check a doubtful note against.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

A form populated from conversation puts a machine derived value into a document a client may sign, and no transcription or completeness accuracy is published. Mood inference and per language performance carry no measure either, so error rates across five languages are unknown.

Operational and Outcome Evidence
CC on Operational and Outcome EvidenceUnnamed case studies, customer logos, or claims without numbers. Prestige is not measurement: the caliber of the client list describes the buyer rather than the product, and coverage statistics are not adoption statistics.
Third Party Estimated

A 2026 research firm buyer's guide reviewing twelve adviser tools includes it, as does an adviser network's own product comparison, which confirms a real product in the consideration set. No customer firm is named, and the one figure, five hours saved per adviser per week, is self reported and attached to nobody.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Third Party Estimated

The company commits in the first person never to train its models on customer data, and an adviser network's comparison independently recorded the same. What its transcription and language model suppliers retain, and how long recordings and transcripts persist, is unstated.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

Audio and video of client conversations are captured and kept, along with uploaded recordings, so a firm builds a library of recorded meetings beside the notes. That makes retention, deletion and access the questions that matter, and no schedule, route or processing terms answer them.

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.
Third Party Estimated

A Type 2 service organization control claim uses the right wording, but it appears in vendor authored copy on a third party adviser directory rather than the company's own site. A 2024 network review also noted no two factor authentication on the product itself, relying on connected systems instead.

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

A software supplier needs no license, and the founder's past as an adviser shapes design rather than conferring status. Recordings and generated notes are examinable records for the advice firm, yet nothing covers archiving or how a firm evidences a note's provenance to an examiner.

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

Reading emotional state from speech varies by culture and language, and expressiveness norms differ across the five markets served. A client tagged hesitant or dissatisfied carries that judgment in an advice file, and nothing describes the signals behind it or its consistency across populations.

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

A figure transcribed wrongly into a completed form can reach a provider, custodian or client signature, traveling further than a wrong sentence in a note. Nothing allocates that responsibility, and the client has no route to see the recording, the note or the mood attributed to them.

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

Transcription and generation across five languages name no model provider, speech recognition supplier or inference host. The no training commitment covers what the vendor does with audio, not which third parties it passes through on the way to a transcript.

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.
Third Party Estimated

About eleven systems are named across client relationship platforms, conferencing tools and calendars, and an adviser network review singled out task push into one client system for its write depth. That list dates from a 2024 review, and no custodian, planning platform or programmatic interface appears.

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

European users follow from the five language markets, and firms there holding client recordings face residency expectations a United States host may not meet. No hosting region, European data location or deployment topology is published.

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

A per user monthly price circulates only in third party reviews, and the vendor's own material shows no rate, tier or trial. For a seat based tool that leaves a firm unable to budget from the source.

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

Five languages, including Spanish, German and Italian, reach continental European and Latin American advice markets, and the company has courted Australian advisers through trade media. Advice firms remain the only buyer, with no bank, insurer or asset manager segment and no stated firm size range.

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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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