Wealth & Advisory AI
F

FP Alpha

FP Alpha sells advanced planning software to financial advisers, accounting firms and estate attorneys, addressing the three areas where a generalist adviser is least equipped: tax, estate and personal insurance. Its premise is that the expertise gap is really a document reading problem, since the answers already sit inside papers the client has and nobody has time to read. An adviser uploads the documents and machine reading extracts from them, then an expertise layer the company describes as trained by specialist professionals turns the extracted data into observations and recommended next steps.

The tax module summarizes a return across sixteen areas including modified adjusted gross income tiers, federal and state position, conversion analysis, charitable deductions, qualified business income treatment and pending legislative changes. The estate module reads wills, trusts, powers of attorney and healthcare directives, gathering hundreds of data points and rendering asset distribution and the significant individuals named as visual flowcharts an adviser can use in a legacy conversation. The insurance module reads home, umbrella and motor declaration pages to surface coverage gaps and over insurance.

Commercial terms are published in full and structured as an annual license carrying a bank of credits, one credit per tax document reviewed and one per estate household regardless of document count, with credits reloading annually and shared across every seat in the firm. Founded in New York by Andrew Altfest, president of an established wealth management firm, and Luis Quiroz, previously an artificial intelligence development leader at the Mexican Stock Exchange.

Last VerifiedAugust 22, 2026
Compare FP Alpha with other vendors
Founded
—
Headquarters
New York, New York, United States
Website
fpalpha.com
Categories
wealth-and-advisory
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 3 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

Machine reading of wills, trusts and tax returns carries all the throughput, and without it nothing exists to analyze. The insights layer applies expertise contributed by dozens of specialists to extracted fields, encoded human knowledge rather than model reasoning.

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

Outputs are described as adviser verified, which places review correctly but supplies no confidence measure or flag on an ambiguous passage. No view sets an extracted value beside its source text, so an adviser checking a clean trust flowchart cannot see which reading of a conditional provision was chosen.

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 misread distribution provision produces a flowchart confidently showing a family the wrong inheritance, with no signal to the checking adviser that anything went wrong. No extraction accuracy, error rate by document type or validation method is published, especially for ambiguous instruments where risk concentrates.

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.
Vendor Published

The vendor's pages claim more than eight hours saved per client, with no attribution visible, so no named reference supports it. Editorial coverage at a major research house and the founder's own advice firm lend credibility without amounting to a customer outcome.

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

Marketing calls the capability adviser trained and expert trained, a training claim with no account of the training material. If that means real client wills and tax returns, it concerns a great many families, and nothing says whether uploads improve extraction or train any model.

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

Each household analysis is stored for later use by any seat in the firm, so uploaded documents and their extracted contents persist somewhere. How long they persist, and how a firm deletes them, is undescribed.

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

A single household upload can combine a tax return with government identification numbers, a will naming beneficiaries, powers of attorney and a healthcare directive. No attestation, security standard or trust page appears for a system concentrating that much about one family.

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

Analysis that finds problems in a will looks like legal work, and coverage gap findings look like insurance advice, while the buyers include attorneys and accountants as well as advisers. Nothing draws the line between analysis and advice or says what a professional must add before an output leaves.

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

Extraction likely reads a templated will from a large firm better than an old or small practice document, so households with plainer paperwork may get weaker analysis. Complex estates also generate fuller reports than simple ones, steering adviser effort, and neither effect is evaluated.

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

Calling outputs adviser verified allocates responsibility in a phrase rather than a term: the reviewing professional owns them. Estate flowcharts and coverage gap summaries are built to be shown to families, so an error acted on may surface years later, and the family has no route to see or correct what was extracted.

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

Capability is attributed to the company's own engine and its specialists, which describes ownership of the logic rather than who performs the reading. Whether a third party model reads a family's legal documents is unanswered, though a firm needs that before its first upload.

Core Systems and Integration Depth
CC on Core Systems and Integration DepthIntegration claimed through standards or connectors with no system named and nothing to verify.
Vendor Published

Third party reviews say the product integrates with existing financial software without naming one system. No client relationship platform, planning tool or interface is named, so whether findings reach the plan or stay in the product is unknown.

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

Documents are uploaded through a browser, and no hosting provider, storage location or residency statement is published. Where legal and tax documents are processed is therefore unknown to the firm uploading them.

Commercial
Commercial Transparency
AA on Commercial TransparencyPublished per unit rates a buyer can price against before any conversation.
Vendor Published

A public pricing page gives annual figures for the combined license and a single module, with a discount for two year billing and scaling from one adviser to a firm. Credits are spent one per tax document and one per estate household, reload annually and can be topped up, so a buyer can model cost against case volume before calling.

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

Sole practitioners, advisory teams and multi office firms buy licenses, and accounting firms and estate attorneys use the same reading for their own purposes. Tax, estate and insurance are all covered, but the design is bound to one country's tax code and estate instruments.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at FP Alpha, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.

Sep 2, 2026Product / capabilityPartially verified

FP Alpha released Tax Projector Scenario Insights, which models forward looking client decisions such as Roth conversions, asset sales, income changes and state relocations and returns the projected tax consequences. A Tax Projector Agent lets advisers build and adjust those scenarios conversationally.

Bears on: AI CentralitySource
Our read on this update →Tracked since Sep 2026

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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.

Entry Price Pricing Basis Data Protection Terms Implementation Source
$1,995 a year for the All In One license, per advisor. A single module is also sold alone.
Annual license per advisor, with firm pricing for full office logins and a lower rate for two year billing. The license carries a bank of credits: one credit per tax document reviewed and one per estate household regardless of document count, reloading annually and shared across seats in the firm, with additional capacity purchasable. The All In One license is reported to include 35 tax, 10 estate and 10 insurance snapshots. Not tiered on the pricing page. Enterprise clients have controls over user roles, access permissions and data usage on the platform. No implementation fee is published. Vendor Published

Price as listed on the vendor's pricing page and reported in trade coverage in 2026. The credit mechanics let a firm model cost against expected case volume before contacting sales.

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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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