Amazon SageMaker AI
NewFully managed machine learning service
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Amazon SageMaker AI ranks #3 of 61 in MLOps Platforms with an AI visibility score of 44.4 (SlateIndex, Nov 2, 2026).
- Amazon SageMaker AI is most visible on ChatGPT (48.5) and least on Perplexity (40.9).
- AI engines name Amazon SageMaker AI in 26 of the 29 MLOps Platforms buyer prompts SlateIndex tracks.
- amazon.com is the source AI engines cite most in answers about Amazon SageMaker AI, with 33 citations.
About
Company details for Amazon SageMaker AI
Amazon SageMaker AI is a fully managed machine learning service from AWS, formerly named Amazon SageMaker. Studio provides a single web interface for preparing data, training, customizing, and deploying models. It supports real-time and batch inference and includes features such as Experiments, Feature Store, JumpStart, Model Monitor, and Augmented AI. It ranks #3 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 44.4 in the latest weekly run.
Founded in 2017 and headquartered in Seattle, Washington, the company employs 5,000+ people.
- Website
- amazon.com
- Categories
- MLOps Platforms
- Company size
- 5,000+ employees
- Headquarters
- Seattle, Washington
- Founded
- 2017
- Company type
- Division of Amazon
- Deployment
- Cloud and edge environments, with real-time and batch inference
- Compliance
- SOC 2, HIPAA, FedRAMP Moderate, FedRAMP High, ISO 27001, PCI-DSS
Read from en.wikipedia.org, k21academy.com, gartner.com, docs.aws.amazon.com, aws.amazon.com, getstealery.com · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
AI mentions & citations
Recent answers that name Amazon SageMaker AI
How do I choose an MLOps platform for a mid-market team?
.
Where can I sign up for an MLOps platform?
Amazon SageMaker: Fully managed AWS service for building, training, and deploying machine learning models at scale.
What are the pros and cons of Amazon SageMaker AI?
Amazon SageMaker AI is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) and generative AI models at…
Best MLOps platform for enterprise
For most enterprises, Amazon SageMaker AI is the best default MLOps platform—especially when AWS is already your cloud standard.
What are the pros and cons of Amazon SageMaker AI?
Amazon SageMaker AI is strongest for organizations that need an end-to-end, scalable machine-learning platform tightly integrated with AWS.
Products & features
What Amazon SageMaker AI sells
Amazon SageMaker Studio
Single web interface for end-to-end model development, including preparing data, training, customizing, and deploying models.
SageMaker Autopilot
Named as a core component of SageMaker AI.
SageMaker Model Monitor
Named as a core component of SageMaker AI.
SageMaker JumpStart
Pretrained models and one-click solutions.
SageMaker Experiments
Experiment tracking.
SageMaker Feature Store
Named as a major feature of SageMaker AI.
SageMaker Augmented AI
Human review workflows for ML predictions.
SageMaker Model Dashboard
Named as a major feature of SageMaker AI.
Strengths engines cite
- End-to-end managed platform for building, training, and deploying ML models
- Deep integration with the AWS ecosystem
- Scalable training and deployment
- Strong reviews, around 4.3/5 on G2
- Well established and widely used enterprise MLOps platform
Target market & buyers
Notable customers include Razorpay, Alfresco.
Funding & recent developments
Funding
| Latest known round | Total raised |
|---|---|
| — | — |
Recent developments
- Oct 2026ProductGPU partitioning for real-time endpoints
GPU partitioning for real-time endpoints lets several models share one GPU using NVIDIA MIG.
- Oct 2026ProductSageMaker MLflow Apps support MLflow 3.16
SageMaker MLflow Apps now support MLflow 3.16.
- Oct 2026ProductTraining session APIs for serverless model customization
Training session APIs for serverless model customization became available, billed per token processed.
- Oct 2026ProductStudio adds Google, GitHub, and Apple sign-in
Studio added Google, GitHub, and Apple sign-in for new customers.
- Aug 2026ProductGenerative AI inference recommendations in SageMaker AI Studio
Generative AI inference recommendations became available in SageMaker AI Studio.
Competitive landscape
How Amazon SageMaker AI compares with its top three alternatives
Amazon SageMaker AI most often appears alongside MLflow, Google Vertex AI, AWS in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| Amazon SageMaker AI | 44.4% | 8% | New | Pricing not available |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| Google Vertex AI | 33.1% | 7.2% | New | Pricing not available |
| AWS | 35.7% | 7.5% | New | Pricing not available |
| Databricks | 46.2% | 7.6% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 29% · Neutral 49% · Mixed 22% of 58 engine answers that mention Amazon SageMaker AI
Praised for
- End-to-end managed platform for building, training, and deploying ML models
- Deep integration with the AWS ecosystem
- Scalable training and deployment
- Strong reviews, around 4.3/5 on G2
- Well established and widely used enterprise MLOps platform
Criticised for
- Expensive, heavy enterprise suite for startups
- Less developer-centric than some alternatives
- Total costs depend on compute, storage, and API usage
Cite as: SlateIndex, “Amazon SageMaker AI AI visibility profile”, https://slateindex.ai/brand/amazon-sagemaker-ai, data of Nov 2, 2026. Licence: CC BY 4.0.