Consumer Edge: Initiation of Coverage

GAII Intelligence defines the Alternative Data & Data Infrastructure market as companies that supply investment firms with non-traditional evidence on company and economic performance — transaction, receipt, location, web and business-spend data — and the tools that collect, clean and deliver it. Buyers are heads of data strategy and data sourcing, fundamental and quantitative analysts, and the compliance teams who must approve each new source.

Capabilities we treat as mandatory

• Point-in-time integrity: history that can be tested without look-ahead, with restatements, panel changes and survivorship handled and disclosed.
• Provenance and screening: a documented chain from source to delivery, with consent, licensing, MNPI and personal-data screening a compliance team can review.
• Investable mapping: data resolved to tickers and entities, so that a signal can be tied to a security without manual work.

Capabilities we treat as differentiating

• Predictive-value evidence: published back tests or, better, independent studies showing that the data anticipates reported results.
• AI-ready delivery: data shares into Snowflake and Databricks, and MCP connections that let a client's AI assistant query the data under entitlement.
• Transparent AI answers: conversational tools that show the query, panel size and method behind each answer and decline unsupported questions.
• AI in the pipeline: models that find sources, map entities and repair collection, cutting the time from idea to usable dataset.

Consumer Edge competes with YipitData, M Science, Bloomberg Second Measure and Facteus in card and receipt data, with Circana and Numerator in purchase panels, and, in healthcare, with claims-data providers.

The following are the capabilities and characteristics that, in our assessment, most distinguish Consumer Edge within the Alternative Data & Data Infrastructure market. Each is drawn from publicly documented product capability, company releases and documentation, or independent reporting.

• Panel breadth: More than 100 million US cards, SKU-level receipts, web traffic, European transactions and healthcare claims and hospital purchases.
• Transparent agent: Every Cosmos Agent answer shows the SQL, data sources and methodology, and can be cross-checked from the MCP connection.
• AI-assistant delivery: CE Cosmos MCP brings the data into Claude and ChatGPT and lets users blend it with their own data.
• Investor packaging: Research Signal combines spend-based forecasts, consensus, a back-tested record and ticker-specific risks in one report.
• Quant delivery: Snowflake, S3, BigQuery and a row-level direct feed with daily updates.
• Release cadence: Five AI and data launches in twelve months, from the October 2025 chat beta to Cosmos MCP.

The following are factors that prospective clients should weigh, and areas where our public review did not find sufficient evidence to reach a settled view. Several are common across vendors at this stage of the market and are not specific to Consumer Edge. We encourage prospective clients to raise each of them directly with the company; we have done the same, and will update this note as answers arrive.

• Assurance: We did not locate SOC 2, ISO 27001, SSO, audit-log documentation or a trust page.
• AI terms: The model behind Cosmos and the terms for client data are not published.
• Provenance: Data are described as anonymised; consent, MNPI and personal-data screening are not documented.
• Evidence: The Research Signal back test is company-reported; no independent study or quantified client case was located.
• Point-in-time: Panel-change and restatement handling are not documented.
• Pricing: Not published; a free sample is offered but no trial was located.
• Integration: Three acquisitions since 2021, the latest in April 2025, are still being combined.

Consumer Edge was founded in New York in 2009 by Bill Pecoriello, a former Morgan Stanley analyst, as a consumer research boutique, and has grown into a transaction-data company serving investors and corporates. It acquired Savvr (2021), Qentnis (2022) and Earnest Analytics (completed April 2025), and has offices in New York, the UK and Germany.

Treville Capital Group partnered with Consumer Edge in 2022. Funding terms, revenue and client counts have not been disclosed. In November 2025 Mike Weir (formerly G2) joined as chief revenue officer and Kumar Doshi as chief marketing officer.

Company-reported figures are shown as such and are not independently verified. Verification is carried into the vendor questionnaire.

Consumer Edge sells datasets by domain and delivers them through feeds, its Dash platform and, since 2026, an AI layer called Cosmos. Figure 2 sets out our assessment of how it maps onto the alternative data workflow.

Datasets

Transact and Orion card data, Basketview receipts, Click web traffic, healthcare and Taurus hospital purchases.

Dash and Vision

Self-service benchmarking, cohorts, cross-shop and market share.

Cosmos Agent and CE Cosmos MCP

Conversational analysis with visible SQL, and the same data in Claude and ChatGPT.

Research Signal

Ticker-level reports with spend-based forecasts and back test (June 2026).

Scope of the product today

We did not locate a security attestation, AI-use terms, a source-screening programme or named client references.

Cosmos Agent turns plain-English questions into SQL over Consumer Edge's transaction data and returns the query, sources and method with each answer; the company also cites AI-powered earnings predictions for more than 450 tickers.

The underlying model is not named, and the only evaluation is the company's Research Signal back test.

Consumer Edge has one of the widest sets of transaction panels in our segment coverage: US cards from 2016, SKU-level receipts, web traffic, European transactions and healthcare data.

Under this variant, provenance and point-in-time documentation hold the score back.

Consumer Edge serves both quants and fundamental analysts: data shares for the first, Dash, Cosmos and Research Signal for the second.

Monitoring and alerting are not documented beyond dashboards.

Consumer Edge publishes almost no enterprise evidence: no SOC 2, ISO 27001, SSO, audit-log or AI-use documentation, and no trust page, was located. Figure 3 sets out what our public review located.

We would encourage buyers to request attestations, the Cosmos model provider and data terms, and the source-screening process.

The offsetting factors are operating history since 2009 and continued investment, including the Earnest acquisition.

Consumer Edge does not publish pricing; third-party listings show annual licences and a free sample.

Buyers should request the Research Signal back test in full and a quantified reference.

Consumer Edge sits in the Emerging quadrant of the segment matrix, mid-table on both axes, with the release cadence to move up if enterprise evidence follows.

GAII Alternative Data & Data Infrastructure coverage, 21 October 2026, scored on the segment variant of Data & Content and Workflow Fit; not directly comparable with Research & Intelligence or Risk, Compliance & Surveillance scores.

11.1 Where Consumer Edge is strongest relative to peers

• Against panel vendors, on breadth across consumer, B2B and healthcare spend.
• Against black-box AI tools, on visible query logic.
• Against peers, on investor-ready packaging in Research Signal.

11.2 Areas of narrower functional focus

Consumer Edge leads on panels and AI transparency and trails on enterprise disclosure.

• Assurance: not located.
• AI terms: not published.
• Provenance: screening not documented.
• Evidence: company back test only.

Scores are on a 0–10 scale. Each dimension score is the mean of its sub-criteria, and the GAII Overall Score is the weighted mean of the six dimensions. The detailed sub-criteria scores that build each dimension are set out in Appendix A.

These are the areas where our public review did not find sufficient evidence to form a settled view. We have put them to the company and will update this note when they are answered. Prospective clients may find them a useful agenda for their own evaluation call.

• SOC 2 or ISO 27001 status.
• SSO/SAML and audit logging.
• Model provider behind Cosmos.
• Client-data and no-training terms.
• Consent, MNPI and PII screening of panels.
• Panel-change and restatement handling.
• Research Signal back-test detail.
• Independent predictive-value evidence.
• Earnest integration status.
• Pricing and trial terms.
• Quantified client references.
• Ownership and funding terms.

This note is an assessment of a vendor against a defined framework, not a recommendation to buy or to decline. The following are the considerations we would put at the centre of an evaluation of Consumer Edge specifically.

If you run research or data sourcing

• Test Cosmos on a question you already answer by hand.
• Request Research Signal back tests for your names.
• Pilot the MCP alongside your own data.

If you are responsible for technology, compliance or vendor risk

• Open with Figure 3; request attestations and AI terms.
• Confirm panel consent and screening.
• Review data-share entitlements.

If you are assessing the category rather than the company

• Show-your-work agents are the new standard.
• MCP is now a delivery channel for spend data.
• Panels are consolidating through acquisition.

Each dimension score in Section 12 is the mean of the sub-criteria below. Data & Content and Investment Workflow Fit use the Alternative Data & Data Infrastructure segment variant.