Capital Markets & Research AI
S

S&P Global Market Intelligence

S&P Global Market Intelligence is the data, analytics and enterprise software division of S&P Global, scoped here at division level and separated from S&P Global Ratings, S&P Dow Jones Indices, Commodity Insights and Mobility. Its flagship platform is S&P Capital IQ Pro, covering 109,000 public companies, 60 million private companies, 110,000 private equity and venture funds, 200 million Visible Alpha estimate data points contributed by more than 200 brokers, 29 million fixed income securities, 1.6 million loan facilities and country risk across 236 territories.

Alongside the platform it runs enterprise software and managed services including securities processing, corporate actions, loan portfolio management, tax and trade and transaction reporting. The generative line is developed largely with Kensho, the group's AI centre acquired in 2018, and includes ChatIQ, an assistant trained on the platform's own tabular and textual corpus and built around click through to source data with traceability in answers; Document Intelligence and its multi document successor, covering filings, transcripts, investor presentations, news and research; Chart Explainer; AI powered search with sentiment scoring, key phrase search and transcript summarisation; Earnings IQ Alerts; natural language screening that converts a plain question into screening criteria; and generative intraday newsletters.

The division publishes a dedicated artificial intelligence hub with separate buy side, sell side, corporate and professional services pages, a solutions directory, and material for partners and developers.

Last VerifiedAugust 21, 2026
Compare S&P Global Market Intelligence with other vendors
Founded
2016
Headquarters
New York, New York, United States
Categories
capital-markets-ai, credit-decisioning, compliance-and-surveillance, insurance-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 4 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 Clearwater precedent, consistent with the two peers already built in this pocket. A data and analytics business of enormous scale with a genuine and broad shipped inference line layered over it, spanning an assistant, document analysis, chart explanation, sentiment scoring, transcript summarisation, natural language screening and generative newsletters.

Strip the models and the platform remains fully usable: the underlying asset is the data estate and the workflows around it, not the inference. It is not the rejected shape either, since the AI is sold as named products across several workflows rather than sitting around the edges of one.

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

The assistant answers questions and the analyst decides, and the boundary is reinforced by design rather than asserted: answers are built around click through to the underlying source document, so a user is expected to verify rather than accept. Nothing in the line executes a transaction or commits an action. Held off A because no approval gate, confidence threshold or escalation rule is published, and nothing states what the assistant is prevented from doing or where it should not be relied on.

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

Earned on a provenance property stated consistently rather than on an adjective, which is the distinction this axis turns on. The assistant is described as providing full traceability in its answers, and this is presented as an extension of the platform's long standing principle of click through to source data, so a generated assertion can be followed back to the filing, transcript or record that produced it.

That is checkable in a demonstration, and the claim appears consistently across the vendor's own product page and successive product announcements rather than in one marketing phrase. Held off A because no accuracy rate, validation approach, benchmark, evaluation method or drift policy is published for any generative feature.

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

The C bar as located: no named customer with a quantified outcome was found in this pass, and the figures published describe the size of the data estate rather than a result the product produced for anyone. Executives are quoted, but in the company's own announcements. Marked explicitly as an unverified absence rather than an evidenced one: a case studies library exists on the division's own site and was not opened. That named check is queued and, on the record of this rule elsewhere in the sweep, it is more likely than not to move this grade.

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

The assistant is stated to be trained on the platform's own tabular and textual corpus, which is a clearer training disclosure than most vendors offer and points away from customer data as the source. It stops short of a commitment: the vendor publishes no statement on whether customer queries, uploads or usage feed model improvement, no retention terms, and no tenancy or isolation position. A page on the division's own AI ready data exists and was not opened, so the check is queued.

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

The division publishes no processing terms, retention schedule or privacy commitment specific to the inference products in the material reviewed. Recorded as an unverified absence on the same basis as the security and deployment rows, with the check queued.

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

The vendor names no certification, audit type or trust portal in the pages reviewed. Recorded as an unverified absence rather than an evidenced one, and flagged prominently: no trust or security page was reached in this pass, so a C here reflects where the research stopped as much as what the vendor publishes. Queued check, and it should be run before this record is used in any comparison against a peer whose trust centre has been read.

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

Graded C on the division scoping principle, now applied for the third time in two sessions and settled. The corporate parent contains a registered and supervised credit rating agency subject to methodology disclosure obligations, but this record is scoped to the data, analytics and enterprise software division, and that supervision does not read across to unregulated software. The company draws the same division boundary itself throughout its own navigation.

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 vendor publishes no fairness testing, evaluation methodology or governance position for its generative features in the material reviewed. The exposure differs from consumer lending because the credit scoring products here assess companies rather than individuals, so protected class doctrine does not apply directly, but systematic slant in which sources an assistant surfaces and which it omits when summarising a filing or a transcript is a governance question the vendor addresses nowhere.

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 liability position, indemnity, accuracy warranty or remediation route for generated output. Consequential given the audience: summaries, sentiment scores and generated screening criteria feed investment banking, asset management and private equity decisions, and nothing published addresses what follows when a generated summary misstates what a filing says.

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

No external model provider, family or version is named in the material reviewed. The assistant is attributed to the group's own in house artificial intelligence centre, which identifies who built it but not whose models run underneath it, and a subsidiary is not a supplier disclosure. Recorded as an unverified absence: the division publishes a dedicated page for partners and developers that was not opened, and it is the obvious place for supplier naming to appear. Queued, and no comparison should be drawn against a peer that names its model partners until it has been read.

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

Passes the system of record test on the enterprise services side rather than through the research platform. The division operates securities processing, corporate actions, loan portfolio management and trade and transaction reporting for institutions, which is performing an operational function rather than supplying data into someone else's system.

On the platform side, integration runs deep in the other direction: structured data delivery and feeds, cross reference services that map entities into a customer's own databases, a data marketplace, and office tools that push data directly into customer spreadsheet and presentation models.

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

The division publishes no hosting model, region, residency commitment or sub processor list in the material reviewed. Recorded as an unverified absence: this vendor almost certainly maintains enterprise trust material that was not reached in this pass, and the check is queued.

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 platform publishes no price, tier or unit of charge. Every commercial route terminates in a demo request, a brochure download or a follow up form, and independent comparison coverage of this category describes the pricing as enterprise quoted per seat and unpublished.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Vendor Published

Among the broadest in the index. Financial institution segments are addressed separately rather than listed: commercial banking, insurance, investment banking, investment management, and private equity and venture capital, alongside corporates, government and regulatory agencies, defence, professional services and academia. Coverage is global, with country risk research spanning 236 countries and territories and estimates drawn from more than 110 countries. Published scale runs to 109,000 public companies, 60 million private companies and 110,000 private equity and venture funds.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

Alternatives to S&P Global Market Intelligence

The closest documented capability profiles to S&P Global Market Intelligence 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.

Documents Regulatory Status and Licensure where S&P Global Market Intelligence does not

Documents Model Supply Chain Disclosure where S&P Global Market Intelligence does not

Documents AI Safety and Data Stewardship and Model Supply Chain Disclosure where S&P Global Market Intelligence does not

Documents AI Centrality where S&P Global Market Intelligence does not

Documents Operational and Outcome Evidence where S&P Global Market Intelligence does not

Documents Operational and Outcome Evidence where S&P Global Market Intelligence does not

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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