Wealth & Advisory AI
I

InvestCloud

InvestCloud is a wealth technology platform founded in 2010, covering front, middle and back office for wealth managers, asset managers, banks and advisers, majority owned by Motive Partners and Clearlake Capital since a 2021 recapitalization and led by chairman and chief executive Jeff Yabuki. Its products include APL, a managed account engine running across millions of accounts and trillions in assets, the PM+ and Altic private markets products, an adviser and client engagement suite and a wealth data platform with a unified data model.

Its first model based products shipped in August 2025: Intelligent Screening, which automates client onboarding due diligence and ongoing risk monitoring on technology from smartKYC, and Intelligent Meeting, which automates meeting preparation, note taking and follow up on technology from Zocks. A May 2026 partnership integrates InvestCloud's Advisor Workspace and Client Experience capabilities, including agentic features, with FIS core wealth platforms through FIS Code Connect. InvestCloud names clients including Wells Fargo and Singlife and states that its clients represent more than 40 percent of global assets.

Last VerifiedOctober 2, 2026
Compare InvestCloud with other vendors
Founded
2010
Headquarters
West Hollywood, California, United States
Categories
wealth-and-advisory, aml-kyc-financial-crime, customer-banking-agents
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 6 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

Managed accounts on APL, private markets products and adviser workspaces would all survive without the models, which arrived as Intelligent Screening and Intelligent Meeting in August 2025 and now run as a SMART AI layer across the suite. Intelligent Screening sits inside a regulated duty, onboarding due diligence and ongoing risk monitoring, rather than around it.

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

Models sit upstream of judgment: Intelligent Screening automates due diligence and risk monitoring so advisers and compliance staff can decide, and the agentic features in the FIS deployment surface insights for advisers to act on. Gates, thresholds and sampling audits are not described for either product.

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

Speed and accuracy appear only as general claims, with no precision or recall figure, benchmark or validation method for either model product. On screening, the failure that matters is the hit never raised, a sanctioned party or adverse media match that reaches no compliance officer and leaves nothing to review.

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

Wells Fargo and Singlife appear among named clients, and the August 2025 release says clients represent more than 40 percent of the $132 trillion in assets worldwide. Neither model product carries an adoption or time saving figure, and the 10 hours a week quoted in that release belongs to Zocks's assistant.

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.
Vendor Published

Safeguards described in the May 21, 2026 FIS release are designed to keep client data from being stored or used to train models. That commitment is scoped to the FIS deployment of the adviser workspace, and no retention or training term is published for the licensed suppliers behind the two 2025 products.

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

Website visitors, applicants and business contacts are what the privacy notice covers, in version 1.4 from December 1, 2023, and it expressly excludes data processed for clients. Portfolio positions, onboarding due diligence results and recorded adviser conversations all fall in that excluded data.

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

Security is described in general terms, encryption in transit and at rest and built in controls, with no certification, attestation or trust center named. For a vendor holding records at named banks, that leaves a buyer nothing to verify.

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

Clients hold the authorizations the products serve, while the platform and its model layer are given no regulatory position of their own. The FIS release offers only that governance features support supervision.

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

Data, not models, is the subject of the governance language, with privacy standards and governance features named but no bias testing, fairness evaluation or model documentation described. Adverse media and name screening has direct consequences for an individual, and clean inputs say nothing about whether names, nationalities or entity types are treated even handedly.

AI Liability and Recourse
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.
Vendor Published

A false screening match attaches an adverse finding to an identified person during onboarding, and nothing published says who bears that loss or how the finding can be challenged. Audit capabilities appear in the FIS release only as a property, and the licensed component structure leaves unclear whether InvestCloud or its screening supplier stands behind the determination.

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

Two suppliers are named: smartKYC for the screening inside Intelligent Screening and Zocks for the adviser assistant inside Intelligent Meeting, with both chief executives quoted in the August 2025 release. Agentic features in the FIS deployment carry no stated provenance, and no base model or version is given for any component.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

FIS Code Connect links InvestCloud's Advisor Workspace and Client Experience to FIS core wealth platforms under the May 2026 partnership, so institutions can deploy them without replacing the systems underneath. A unified wealth data model joins client data, interactions and portfolio activity across front, middle and back office.

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

Cloud delivery comes with no stated region, hosting location or tenancy model, and international transfers are said only to follow applicable law. Two model products run on third party technology, which multiplies the places client data may sit.

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

Price, module rate and minimum are all unpublished, and engagement runs through sales. Cost for a modular platform sold by configuration cannot be derived from anything public.

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

Wealth managers, asset managers and banks are the named segments, and the May 2026 FIS partnership opens a route to more than 600 institutions on FIS core wealth platforms. Each product has its own page, while a bank trust department or registered investment adviser finds no deployment model written for its type.

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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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