AI analytics companies, products & suppliers

AI analytics products help people query data, generate commentary or detect patterns on top of warehouses and BI. They are decision-support tools. They are not automatically forecasting suites or optimisation solvers; those are neighbouring categories with different evals.

What is AI analytics?

AI analytics products help people query data, generate commentary or detect patterns on top of warehouses and BI. They are decision-support tools. They are not automatically forecasting suites or optimisation solvers; those are neighbouring categories with different evals.

What problems does it solve?

Analysts wait on dashboards that non-analysts cannot query safely.

Typical business use cases

  • NL-to-SQL
  • Narrative insights
  • Anomaly flags

Important capabilities

  • Warehouse connectors
  • Semantic layer
  • Guardrails
  • Export

What buyers should evaluate

  • SQL correctness
  • Row-level security
  • Semantic layer ownership

Risks and governance considerations

Wrong SQL trusted as a KPI.

Procurement checklist

  • RLS
  • Audit of queries
  • Human publish

Relevant AI Trustmark assurance

Insight quality is not a Trustmark score.

Methodology · How verification works

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • Anodot

    Anodot detects and groups anomalies across silos to help you find and fix business incidents in real-time. Anodot publishes Anodot AI-Powered Anomaly Detection as named AI products

  • DataRobot

    DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business. DataRobot publishes DataRobot AI Platform and DataRob

  • Hex

    Hex is a collaborative analytics platform aiming to make trusted, business-grounded data insights accessible beyond specialists. Hex is used for AI analytics work. Hex is recorded

  • IBM

    International Business Machines Corporation sells hybrid-cloud software, Granite models and enterprise AI tooling. Public pages distinguish IBM software and models from IBM Consult

  • Microsoft

    Microsoft Corporation sells Windows, Azure, Microsoft 365 and Copilot AI products. Public pages cover cloud, productivity and developer APIs used by enterprises and consumers. Micr

  • Oracle

    Oracle sells database, cloud infrastructure and enterprise applications. Public pages cover OCI, database services and AI features inside business applications. Oracle publishes My

  • Qlik

    Qlik, now with Talend, delivers a data fabric and next-level insights with its end-to-end data integration, data quality, & analytics solutions. QlikTech International AB trades as

  • Salesforce

    Salesforce sells CRM cloud software with Einstein and Agentforce AI features. Public pages cover sales, service and marketing clouds used by enterprises. Salesforce publishes Agent

  • SAS

    SAS publishes SAS Data Maker, SAS Intelligent Decisioning, and SAS Model Manager as named AI products. SAS is used for Model governance and Data science platforms work. SAS is reco

  • Snowflake

    Snowflake Cortex brings LLM and ML functions into the Snowflake Data Cloud for governed SQL/AI analytics. Public marketing also emphasises aI in-warehouse with Snowflake governance

  • Strategy

    Strategy Solutions powered by Mosaic provide a universal semantic layer that unifies enterprise data, governs business metrics, and delivers trusted AI and analytics across every t

  • Tellius

    Tellius provides AI-powered analytics for guided insights, search-driven analysis, and automated decision intelligence. Public marketing also emphasises search-driven AI analytics.

  • ThoughtSpot

    ThoughtSpot publishes ThoughtSpot Spotter as named AI products. ThoughtSpot is used for AI analytics and Decision intelligence work. ThoughtSpot is recorded in Mountain View, Unite

  • Zoho

    A unique and powerful software suite trusted by millions of businesses worldwide. Zoho covers your end-to-end business needs, from sales and marketing to finance, HR, and beyond. Z

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

Merge with predictive analytics?

No. Predictive analytics sells models of the future. AI analytics often sells conversational access to existing data.

What is AI analytics?

AI analytics products help people query data, generate commentary or detect patterns on top of warehouses and BI. They are decision-support tools. They are not automatically forecasting suites or optimisation solvers; those are neighbouring categories with different evals.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.

What security testing evidence should buyers request for an AI product?

Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.

How should buyers check AI subprocessors?

Ask for the named subprocessors that process prompts, files, embeddings or logs, their locations, and whether a change is notified. Related-organisation hosting should be disclosed. A privacy policy URL is not a current subprocessor list.