AI TrustMark

Predictive analytics companies, products & suppliers

Predictive analytics estimates future values or classes from historical data — demand, risk, churn. Buyers are purchasing a model and a monitoring story, not a chat overlay on BI. Keep this distinct from general AI analytics.

What is Predictive analytics?

Predictive analytics estimates future values or classes from historical data — demand, risk, churn. Buyers are purchasing a model and a monitoring story, not a chat overlay on BI. Keep this distinct from general AI analytics.

What problems does it solve?

Plans depend on forecasts nobody can explain or retrain.

Typical business use cases

  • Demand
  • Churn
  • Risk scoring

Important capabilities

  • Training
  • Explain
  • Monitoring
  • Export

What buyers should evaluate

  • Backtest honesty
  • Feature lineage
  • Drift

Risks and governance considerations

Stale models silently scoring people or stock.

Procurement checklist

  • Backtest
  • Monitoring
  • Human override

Relevant AI Trustmark assurance

Forecast MAPE in a pitch deck is not independent evidence.

Methodology · How verification works

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • Alteryx One

    By Alteryx

    Automate data workflows, reduce manual work, and deliver insights faster with Alteryx One. Integrates with Snowflake, Databricks, and BI tools. Alteryx One is Alteryx's platform, f

  • Amazon SageMaker Canvas

    By Amazon Web Services

    Amazon SageMaker Canvas is a no-code machine learning workspace in Amazon SageMaker AI. Business analysts can prepare data, build and evaluate ML models, generate predictions and u

  • Dataiku DSS

    By Dataiku

    Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. Dataiku DSS is Dataiku's platform

  • DataRobot AI Platform

    By DataRobot

    DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business. DataRobot AI Platform is DataRobot's platform, from D

  • H2O Driverless AI

    By H2O.ai

    Only H2O.ai provides an end-to-end GenAI platform where you own every part of the stack. Built for airgapped, on-premises or cloud VPC deployments. H2O Driverless AI is H2O.ai's so

  • IBM SPSS Modeler

    By IBM

    IBM SPSS Modeler is a visual data science and machine learning tool for preparing data, building predictive models and deploying them into operational workflows. Analysts work in d

  • Oracle Machine Learning

    By Oracle

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

  • Peak

    By Peak

    Peak is a decision-intelligence platform that helps commercial teams forecast demand, plan inventory and run related operational decisions. Peak markets industry applications on a

  • Pecan

    By Pecan AI

    Your data already knows who'll churn, buy, or default. Pecan turns it into predictions instantly - No data scientists, no code, just answers inside your CRM. Pecan is Pecan AI

  • Salesforce Einstein Forecasting

    By Salesforce

    Einstein Forecasting is Salesforce's AI sales-forecast prediction feature on the Collaborative Forecasting page in Sales Cloud. It adds an Einstein Prediction column that estimates

  • SAS Model Studio

    By SAS

    SAS Model Studio is SAS's software product, from SAS Institute Inc. Published at sas.com/en_us/software/visual-data-mining-machine-learning.html. Directory filing: Predictive analy

  • RapidMiner AI Studio

    By Siemens

    Siemens: A global technology leader driving innovation in industry, infrastructure and mobility through digital transformation. RapidMiner AI Studio is Siemens's software product,

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

Is forecasting a separate category?

Forecasting is time-series specific. Predictive analytics is broader. Similar intent; do not auto-merge without checking the product.

What is Predictive analytics?

Predictive analytics estimates future values or classes from historical data — demand, risk, churn. Buyers are purchasing a model and a monitoring story, not a chat overlay on BI. Keep this distinct from general AI analytics.

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.