Wealth & Advisory AI
Y

YCharts

YCharts sells an investment research and client engagement platform to registered investment advisers, broker dealers, banks, trust companies, turnkey asset management programmes and asset managers, covering security and fund screening, charting and visualisation, portfolio construction and analytics, proposal generation, client reporting and marketing content, with a separate tier for self directed investors.

In June 2026 the company launched Y, an agentic assistant included in every subscription and stated to be built on Anthropic's Claude, which accepts plain language instruction and executes work directly on the platform: building portfolios, running screens, producing reports and generating client ready content. Y can be given a whole project rather than a single question, runs on a schedule or continuously in the background monitoring market conditions and refreshing commentary, and the company states every output carries compliance guardrails and customisable disclosure language.

A published interoperability protocol server lets a firm reach YCharts data from the general purpose assistants it already uses. In July 2026 the company acquired Zephyr from Informa, adding a separately managed account database of roughly twenty one thousand products, the PSN separate account research franchise and the long established StyleADVISOR manager research tools. Founded in 2009 and headquartered in Chicago, serving financial professionals across North America.

Last VerifiedAugust 21, 2026
Compare YCharts with other vendors
Founded
2009
Headquarters
Chicago, Illinois, United States
Website
ycharts.com
Categories
wealth-and-advisory, capital-markets-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 7 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

This is the digital native reading rather than the legacy one, and the distinction matters for where the grade lands. The platform launched in 2009 as cloud software and the company has been building inference into it across several years rather than bolting on a single feature, culminating in an agent included in every subscription that executes work on the platform rather than describing it.

Models now carry meaningful throughput: plain language instruction converted into portfolio construction, screening, report production and client ready content. The spine still survives their removal, because charting, screening, portfolio analytics and proposal generation were the product for seventeen years and continue to work untouched, which is what holds this below the top grade rather than at 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

Both halves of this axis are unusually visible, and they pull against each other. On the oversight side the company states that every output carries compliance guardrails and customisable disclosure language, which puts a control at the point where generated material reaches an investor and is more than most vendors commit to in writing.

On the autonomy side the agent accepts an entire project rather than a question, executes on a schedule, and is marketed as running continuously in the background refreshing commentary so that it works when the adviser does not. Unattended generation of client facing commentary is a meaningful step beyond an assistant that answers when asked. Held below the top grade because no approval gate before delivery is described, and disclosure language on an output is a labelling control rather than a review step.

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

The agent produces portfolios, screens, reports and client communications, and the accuracy of none of them is measured in public material. Searched for an accuracy figure, an error rate, a benchmark against manual work, a validation methodology, a grounding or citation guarantee tying a generated statement back to the underlying data, a drift statement or a revalidation cadence, and located none.

The development account published is about process rather than performance: six months of build, staged user testing and a beta group in late May. Testing that a product works is a different claim from measuring how often its output is right, and only the second one matters when the output is a portfolio recommendation shown to an investor.

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

A named customer speaks on the record in an independent publication rather than in a vendor testimonial, which is the stronger form. The chief executive of a named Texas advisory firm describes using the platform since 2018 and characterises its evolution from a charting tool into a system his firm runs its front and middle office on, and he is quoted in trade coverage of the acquisition rather than in marketing material. That clears the bar for a named reference.

Held below the top grade because the quantified outcome and the named firm never join: no figure for time saved, assets influenced or workflow throughput is attached to any identified institution, and the platform level claims are stated as leading and top ranked without a measurement behind them.

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

Searched for a statement on whether adviser uploaded portfolios, client communications or platform usage inform any model, whether content is retained by the model provider, and what boundary applies when the protocol server carries platform data into a firm's own assistant environment, and located none.

The protocol architecture makes this more consequential than for a closed platform, because data reached through it lands somewhere the vendor does not control and the published material does not describe whose terms then govern it. The company names its model provider clearly, which is a different disclosure from stating what happens to customer content once it reaches that provider.

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

Recorded as an unverified absence. The material the platform holds includes adviser uploaded client portfolio holdings and the client facing communications generated from them, which touches individual financial circumstances even though the buyer is an institution. Searches surfaced no retention schedule, deletion commitment or account of how uploaded client portfolios are handled, and a privacy policy was not located and read. The queued check is the privacy policy and any data processing terms, both of which would be expected to exist for a platform selling to registered advisers with their own obligations to clients.

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

Recorded as an unverified absence rather than an evidenced one, and the distinction is deliberate. Searches across product and announcement material surfaced no enumerated attestation, named information security standard, audit report or trust page, but a dedicated security or trust page was not located and therefore not read, and this index has repeatedly found certifications on exactly such a page after concluding there were none.

The queued check is specific: a trust or security page carrying a numbered standard and an audit report type. The stakes are ordinary rather than elevated, since the platform holds client portfolio holdings and adviser produced content rather than consumer financial records.

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 licence.
Vendor Published

A research and reporting platform holds no licence and requires none, and that posture attracts no penalty here. The company makes a claim adjacent to this axis that is worth separating from it: sixteen years of regulatory experience are described as built into the agent, alongside compliance guardrails and disclosure language. That is a product capability claim about how output is shaped, not a statement of supervised status, and the two should not be conflated by a reader.

The downstream question stands unaddressed: proposals and client communications generated on this platform are the material advisers must be able to defend to an examiner, and nothing published states how a firm demonstrates which content a model produced.

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

The fairness question for this platform is product selection. An agent that screens securities, builds portfolios and assembles the comparison that supports a recommendation is shaping which funds and strategies reach an investor, and systematic tendencies in that selection would be invisible to the adviser relying on it and to the client receiving it. The acquisition of a separately managed account database sharpens the point, because manager selection now runs through the same interface.

Searched for any account of how the agent selects or ranks, whether outputs were examined for systematic effects across product type, provider or fee level, and whether an adviser can inspect why one product was surfaced and another was not, and located none.

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

One published control sits near this axis without reaching it. Customisable disclosure language on every output tells a recipient something about the nature of what they are reading, which is a labelling mechanism rather than a remedy, and the customisation means its content is the adviser's choice rather than a commitment by the vendor. Searched for a warranty, an accuracy commitment, a service level, a correction obligation or any allocation of responsibility, and located none.

The exposure sits squarely with the adviser: a recommendation assembled by an agent and delivered under the adviser's name carries the adviser's fiduciary obligation, and the agent runs unattended on a schedule.

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

The supplier is named plainly and repeatedly rather than behind a product brand. The agent is stated to be built on a specific commercial model family from a named provider, in the launch announcement and consistently in independent coverage of it, at a moment when most vendors in this index would have said proprietary and stopped.

The protocol server adds a second layer of clarity by naming the general purpose assistants a firm can connect from, though those are the buyer's tools rather than the vendor's suppliers and should not be counted twice. Held below the top grade on the same three points that held another named partner disclosure there: no specific model version is identified, no model is mapped to a particular workflow, nothing is administrator selectable and no failover arrangement is described, leaving a single undisclosed dependency at the model layer.

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

The most interesting integration here runs outward rather than inward. A published interoperability protocol server lets a firm reach platform data from the general purpose assistants its staff already use, which means the vendor has accepted that some of its analysis will be consumed inside somebody else's interface. That is a deliberate architectural choice and a real one.

Inbound, the July 2026 acquisition folded in a separately managed account database and a separate account research franchise, consolidating three data estates into one platform. Held below the top grade because the connector catalogue was not located in public material: custodial, client relationship and portfolio accounting connections are the ones an advisory firm asks about first, and none is named.

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

Recorded as an unverified absence. The platform is browser delivered software and the agent operates natively within it, which establishes the delivery model in the loosest sense and says nothing about topology. Searches surfaced no hosting region, storage location, tenancy statement or residency commitment.

The published protocol server raises a specific and unanswered version of this question that is worth naming: when a firm reaches platform data from its own assistant, the data crosses a boundary, and nothing states where the resulting processing happens or under whose infrastructure it sits.

Commercial
Commercial Transparency
BB on Commercial TransparencyA published plan ladder, billing dimensions, or a stated commitment such as no fees, so a buyer can size the cost before making contact.
Vendor Published

The billing basis for the artificial intelligence capability is published, which is rarer than it sounds and more useful than a headline price. The agent is stated to be included in every subscription rather than sold as a premium module, each subscriber receives a monthly credit allotment, and additional usage packages became available on a stated date.

A buyer can therefore establish that the capability is metered, that a baseline is included, and that heavy use costs more, which is exactly the structure that produces unwelcome surprises when it is left unstated. What holds this below the top grade is the absence of any actual rate: neither the subscription price, the size of the credit allotment nor the cost of an additional package was located, so the shape of the bill is visible and its size is not.

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

Segment breadth is genuine and geography is the constraint. Named buyer types run across registered investment advisers, broker dealers, banks, trust companies, turnkey asset management programmes and asset managers, with a separately positioned tier for self directed investors and, following the July 2026 acquisition, institutional manager research reaching consultants and larger allocators.

One customer describes the platform having grown from a charting tool into something a firm runs its front and middle office on, which speaks to depth within a segment. The footprint is stated as financial professionals across North America, with no European or Asian presence described, and that single continent limit is what separates this from the top grade.

Alternatives to YCharts

The closest documented capability profiles to YCharts in the same categories, ordered by similarity across the same fifteen axes the index grades every vendor on. Closest documented profile, not a claim that either product does the same job. No vendor pays for placement.

Stronger documented coverage on AI Centrality

Documents Regulatory Status and Licensure where YCharts does not

Stronger documented coverage on AI Centrality

A lighter documented profile than YCharts

Documents GLBA and Data Privacy Posture where YCharts does not

Stronger documented coverage on Operational and Outcome Evidence and Institution and Segment Coverage

Similarity is computed axis by axis from published grades, not from a composite score. The index does not aggregate grades into a total. See the fifteen axes 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 489 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
September 5, 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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