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.
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.
By Alteryx
Alteryx Machine Learning is a no-code AutoML product for building predictive models. It automates feature engineering with Deep Feature Synthesis, compares algorithms and explains
Amazon SageMaker Autopilot is the AutoML capability in Amazon SageMaker AI. It automatically explores data, trains and tunes machine learning models for tabular, text, image and ti
By Artelnics
Build and Deploy Machine Learning Models in Minutes Neural Designer is a user-friendly app for data science and machine learning. It allows you to build neura. Neural Designer is A
By Featurespace
Featurespace is a Cambridge-headquartered company selling Adaptive Behavioral Analytics for fraud and financial-crime detection. Public marketing covers real-time payment and banki
By Google
BigQuery ML is Google Cloud's capability for creating, running and managing machine learning and generative AI models inside BigQuery using SQL. Teams can train models on data in B
By KNIME
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 Analytic
By Microsoft
Designer in Azure Machine Learning studio is Microsoft's drag-and-drop interface for building machine learning pipelines. Users assemble data preparation, training and scoring comp
By Oracle
Oracle sells database, cloud infrastructure and enterprise applications. Public pages cover OCI, database services and AI features inside business applications. MySQL HeatWave Auto
By Palantir
We build software that empowers organizations to effectively integrate their data, decisions, and operations. Palantir Foundry is Palantir's platform, from Palantir Technologies In
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 Predictive
By Qlik
Qlik, now with Talend, delivers a data fabric and next-level insights with its end-to-end data integration, data quality, & analytics solutions. Qlik Predict is Qlik's software pro
By SAS
SAS Visual Data Mining and Machine Learning is SAS's software product, from SAS Institute Inc. Published at sas.com/en_us/software/visual-data-mining-machine-learning.html. Directo
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Alteryx Machine Learning· Alteryx
- Azure Machine Learning Designer· Microsoft
- BigQuery ML· Google
- KNIME Analytics Platform· KNIME
- MySQL HeatWave AutoML· Oracle
- Neural Designer· Artelnics
- Palantir Foundry· Palantir
- Pecan Predictive GenAI· Pecan AI
- Qlik Predict· Qlik
- SAS Visual Data Mining and Machine Learning· SAS
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.
- Amazon SageMaker Autopilot· Amazon Web Services
- Azure Machine Learning· Microsoft
- Featurespace· Featurespace
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.