Predictive ML companies, products & suppliers

Supervised or statistical models that predict a business outcome. Jobs: scoring apis; churn or risk models; batch scoring.

What is Predictive ML?

Supervised or statistical models that predict a business outcome. Jobs: scoring apis; churn or risk models; batch scoring.

What problems does it solve?

The buyer needs a production predictor, not a generative assistant.

Typical business use cases

  • Scoring APIs
  • Churn or risk models
  • Batch scoring

Important capabilities

  • Training
  • Serving
  • Monitoring hooks

What buyers should evaluate

  • Eval on your distribution
  • Fairness slices
  • Explainability needs

Risks and governance considerations

A predictor used as a decision without human review where required.

Procurement checklist

  • Eval pack
  • Intended use
  • Human review

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

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.

  • Automate data workflows, reduce manual work, and deliver insights faster with Alteryx One. Alteryx publishes Alteryx Machine Learning and Alteryx Designer Cloud as named AI product

  • Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builder

  • Build and Deploy Machine Learning Models in Minutes Neural Designer is a user-friendly app for data science and machine learning. Artelnics is used for Predictive ML work. Artelnic

  • Featurespace is a Cambridge-headquartered company selling Adaptive Behavioral Analytics for fraud and financial-crime detection. Public marketing covers real-time payment and banki

  • Google is a US technology company that sells consumer and cloud AI products, including Gemini, Search, and related developer APIs on Google Cloud. Google publishes Imagen, Gemini f

  • Free and open source with all your data analysis tools. Create data science solutions with the visual workflow builder, & put them into production in the enterprise. KNIME publishe

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

  • We build software that empowers organizations to effectively integrate their data, decisions, and operations. Palantir publishes Palantir Foundry as named AI products. Palantir is

  • 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 AI Ltd. tra

  • 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

  • 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

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

What is Predictive ML?

Supervised or statistical models that predict a business outcome. Jobs: scoring apis; churn or risk models; batch scoring.

What should not be listed as Predictive ML?

Products whose buyer job is deep-learning research platforms, AutoML wrappers, or forecasting-only tools. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Predictive ML supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

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.