Wealth & Advisory AI
R

RightCapital

RightCapital sells financial planning software to advice firms, built on its own calculation engine covering retirement projection, tax aware distribution modeling, student loan analysis, insurance and estate views and a client portal. Founded in 2015 in Shelton, Connecticut and used by thousands of advisers, it grew as the modern challenger to two long established planning packages and ships a migration tool aimed specifically at users of one of them. Two artificial intelligence capabilities arrived in 2026.

Smart Import reads documents uploaded into the platform, identifies which of their contents are relevant to a financial plan and translates them into plan inputs, which the company reports cuts manual data entry time by at least 70 percent. Iris, launched in June 2026, is a planning agent working inside the adviser's existing workflow rather than as a separate assistant, with three published functions: a check that scans a client profile for missing fields and internal inconsistencies that would undermine a plan, a review of cash flow that surfaces anomalies, questionable assumptions and future gaps, and a builder that takes a target probability of success and returns three strategies constructed by varying inputs such as retirement age or spending.

It also answers planning questions and explains results in language an adviser can pass to a client, and a separate assistant answers questions about the platform itself. The company states a specific design constraint: every output originates from its own calculation engine, so the agent surfaces results the verified engine produced rather than generating them from outside sources. Firms control which staff may use the agent, and it carries no additional charge on the upper two subscription tiers.

Last VerifiedAugust 22, 2026
Compare RightCapital with other vendors
Founded
—
Headquarters
Shelton, Connecticut, United States
Categories
wealth-and-advisory
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 5 graded A or B

AI Capability
AI Centrality
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.
Vendor Published

The calculation engine carries the product, and the vendor's own architectural statement is the clearest evidence for it. An engine covering retirement projection, tax aware distribution modeling and the rest was the entire product from 2015 and remains so, with both inference capabilities arriving in 2026. The company states that every agent output originates from that engine rather than from external sources.

That is an admirable control, and it also describes where the substance lives: the engine computes and the agent surfaces. Remove the models and advisers build plans exactly as they did through 2025, with more typing. Document extraction in the import capability does carry real throughput, and it feeds a platform that was complete without it rather than one that goes empty in its absence.

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

Two real controls are published and a third is absent. The first is scope. The agent reviews, surfaces and simulates rather than sending, filing or transacting, so the exposure is a wrong conclusion rather than a wrong action, and that is a design choice rather than a limitation. The second is governance of access, since a firm decides at organizational level which advisers and assistants may use the agent at all, which is a supervision lever.

What is missing is any review step between an agent surfaced anomaly or proposed strategy and its arrival in a plan a client will see. Nothing published shows how an adviser's own assumption is told apart from one the agent proposed, and no audit trail of what the agent did is described.

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

A published architectural constraint addresses the exact failure mode a planning agent has. The company states that all agent outputs originate from its own calculation engine, so the agent surfaces figures the verified engine computed rather than producing them itself.

Applied to a product whose answers are retirement probabilities and tax outcomes, that is a structural defense against a fabricated number reaching a client plan, and it is specific and checkable rather than a policy assertion. The constraint covers where figures come from, and nothing else is measured. There is no extraction accuracy rate for the import capability and no evaluation of whether the anomaly detection finds what it should or flags what it should not. No benchmark, validation method or revalidation cadence is published either.

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

An independent research citation is present, and it is a placement rather than a measurement. The company cites a named productivity study by a widely followed independent research house for the claim that it holds the highest user satisfaction among advisers, and names the study and its year, which is more disciplined than the usual unsourced superlative. Against that, the citation dates from 2024 and reports a ranking without a published figure.

Independent survey data from 2026 covering nearly three thousand advisory firms places two competing planning platforms ahead on market share, with this vendor's own share unstated. The one quantified operational figure, a reduction in manual data entry of at least 70 percent, is self reported with no named firm behind it.

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

There is no statement either way on whether client profiles, uploaded documents or generated plan content are retained, used to improve the service, or used to train, tune or evaluate any model. One published statement invites the wrong conclusion. The company says insights come exclusively from its own verified engine rather than external sources, which describes where answers come from and says nothing about where client data goes. A reader scanning quickly could take it as an assurance that nothing leaves the platform, and it is not that.

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

How uploaded client documents are handled once their contents have been translated into plan inputs is undescribed, and that question is specific to what shipped this year. A document read by the import capability has served its purpose the moment its figures land in the plan. Whether the source file persists afterwards matters to a firm, and nothing states it. No retention schedule, deletion commitment or processing terms are reflected here either, though a privacy policy may cover them.

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

This profile carries no named attestation or information security standard, and no audit report or trust page. For a platform holding complete household financial profiles for thousands of advice firms, and now ingesting uploaded client documents through its import capability, a published position almost certainly exists.

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 holds no license and requires none. The output sits close to a regulated act without performing one: a retirement projection and a recommended strategy shape the advice a client receives, and the recommendation is made by the adviser under the firm's own permissions. Nothing published says what a firm retains to evidence how a plan was constructed, or how a reviewer would tell an assumption entered by an adviser from one proposed by the agent. The second question is the live one, because the agent proposes strategies by varying assumptions and nothing describes how that provenance is recorded.

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

Nothing published evaluates fairness, tests output across client circumstances or explains how the agent decides what to raise. The exposure sits in selection rather than in any explicit judgment about a person. A review that surfaces anomalies, questionable assumptions and future gaps is choosing which of a household's many imperfections deserve an adviser's attention, and a builder that returns three strategies from a probability target is choosing which three out of a very large space. A consistent tendency in either would steer whole categories of client toward particular retirement ages, spending levels or product choices without any adviser noticing a pattern across their book.

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

The vendor publishes no warranty, accuracy commitment or correction obligation, and responsibility between vendor and advice firm is not allocated. The grounding constraint removes one exposure and leaves the others untouched: an agent that cannot invent a figure can still miss one. The check that scans a profile for missing information is the clearest case.

A gap it fails to flag becomes a plan built on incomplete data, with an adviser reasonably believing it was checked, and nothing published addresses what the firm may rely on that check to have covered. The client whose plan was reviewed has no described route to see which conclusions came from the agent.

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

No model provider, model family, version or inference host is named for the agent, the document extraction or the assistant that answers platform questions. The claim that outputs originate from the proprietary engine rather than external sources reads at a glance like a declaration that no third party model is involved. It is a statement about the provenance of answers, not the provenance of the reasoning. Nothing published establishes whose model interprets a document or composes an explanation.

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

Interoperability is evidenced in three different forms and enumerated in none. A named two way relationship exists with a leading meeting assistant vendor. That is the connection that matters most in this market, because it closes the loop from a client conversation to a plan input. A migration tool exists for importing from a specific competing planning platform, which is a harder engineering commitment than an ordinary integration.

And the import capability ingests arbitrary uploaded documents, which is interoperability with the world rather than with a system. An integration directory naming the client relationship systems, custodians and account aggregators an advice firm runs alongside this is likely published and is not reflected here.

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

The platform is delivered through a browser, with a client portal alongside the adviser interface. Hosting, storage region, tenancy and residency go undescribed, as does where household financial profiles and uploaded documents are processed and stored. The vendor may publish some of this.

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

The packaging is disclosed and no number is. The planning agent carries no incremental charge and is instead gated to the upper two subscription tiers, so the commercial question becomes which tier a firm needs rather than what an AI add on costs. No tier rate, per seat figure or comparison of what each tier includes is reflected here. The company is generally understood to publish a pricing page, and its figures are not included in this profile.

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

A large single profession base in a single jurisdiction, addressed across tiers rather than across institution types. The buyer is a financial advice firm, thousands of them, served through a subscription ladder whose upper tiers carry the agent, so solo practitioners and larger firms are both addressed with different entitlements rather than different products. Two limits matter.

Everything is bound to one country's tax and retirement rules, and no bank, insurer or asset manager is addressed as a buyer in its own right. The migration tool aimed at a competitor's user base is a distribution mechanism rather than a coverage extension.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at RightCapital, 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.

Oct 1, 2026Product / capability

RightCapital's Q3 2026 release roundup expands Iris, its AI planning agent, with a Find Opportunities preset that reviews a client plan and flags gaps across tax, investments, retirement, insurance, debt, stock plans, business and estate, plus document upload so advisers can ask about annuity illustrations, stock grants or policies and compare a new file with one already in the client's Vault. The Medicare module was rebuilt as Health Care with cost analysis and side by side Medicare options, and planning gains exact year of death modeling for life insurance and the new federal Repayment Assistance Plan for student loans.

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

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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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