AutoML companies, products & suppliers
Automated model search and training for predictive tasks with limited ML staff. Jobs: tabular automl; model search; one-click deploy of a predictor.
What is AutoML?
Automated model search and training for predictive tasks with limited ML staff. Jobs: tabular automl; model search; one-click deploy of a predictor.
What problems does it solve?
The team needs a model and does not have a research bench.
Typical business use cases
- Tabular AutoML
- Model search
- One-click deploy of a predictor
Important capabilities
- Search space
- Explainability hooks
- Deploy
What buyers should evaluate
- Data used in search
- Whether you can export the model
- Eval honesty
Risks and governance considerations
An AutoML service that trains on your data then keeps the model.
Procurement checklist
- Export
- Data-use
- Eval
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 Abacus.AI
Abacus.AI is an all-in-one AI platform for professionals and enterprises. It offers assistant and agent capabilities to build apps, workflows, chatbots, and applied AI systems, alo
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 BigML
BigML is a machine learning platform that aims to make ML simple for business users and developers. It offers a comprehensive web platform and API with interpretable, exportable mo
By dotData
Empower your enterprise with dotData's AI-driven analytics. Automatically uncover hidden drivers for your KPIs across complex data to maximize profitability, enhance BI, ML, a
By JADBio
No-code Machine Learning that automates biomarker discovery, and interprets their role based on your research needs. JADBio is JADBio's software product, from JADBio – Gnosis DA S.
By Microsoft
FLAML is a lightweight, open-source Python library from Microsoft for fast, low-cost automated machine learning and tuning. For common tasks such as classification and regression i
By MLJAR
MLJAR Studio is a private AI data lab for exploring data, running machine learning experiments, and building analysis tools. Runs locally with optional AI providers. z o. o.). MLJA
By Obviously AI
The entire process of running Data Science - building Machine Learning algorithm, explaining results and predicting outcomes, packed in one single click. Obviously AI is Obviously
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 AutoML is Qlik's software prod
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Abacus.AI· Abacus.AI
- Amazon SageMaker Autopilot· Amazon Web Services
- AutoGluon· Amazon Web Services
- BigML· BigML
- dotData Enterprise· dotData
- FLAML· Microsoft
- JADBio· JADBio
- MLJAR Studio· MLJAR
- Obviously AI· Obviously AI
- Qlik AutoML· Qlik
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.
- Azure Machine Learning· Microsoft
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is AutoML?
Automated model search and training for predictive tasks with limited ML staff. Jobs: tabular automl; model search; one-click deploy of a predictor.
What should not be listed as AutoML?
Products whose buyer job is full data-science platforms, deep-learning platforms, or predictive-ML services already tuned. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every AutoML 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.