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SlateIndex

Amazon SageMaker AI

New

Fully managed machine learning service

MLOps PlatformsSeattle, Washington5,000+ employeesFounded 2017

Visibility score
44.4%
New vs last week
Weekly run · Nov 2

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.

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
44.4%
across MLOps Platforms answers, weighted by position
ChatGPT48.5%
AI Mode43.9%
Perplexity40.9%
Change
New
vs last week’s run
Category rank
#3 of 61
in MLOps Platforms
Mentions
54
in this week’s run
Share of voice
8%
of AI mentions in MLOps Platforms

Visibility score trend

Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.

Now44.4%
30-day change—
High · low44.4% · 44.4%
Rank#3
0%25%50%75%100%Nov 2Amazon SageMaker AI 44%

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

All prompts

How do I choose an MLOps platform for a mid-market team?

![Amazon SageMaker Course with AWS Certification Training ](https://images.openai.com/static-rsc-4/Omq73w9sjDm-Gr1bmROeA84PkaxlRXVd3cISzY95nVR--…

ChatGPT · run of Nov 2

Compare the leading MLOps Platforms platforms

AWS SageMaker, Azure Machine Learning, Google Vertex AI, and Databricks are strong end-to-end enterprise choices.

ChatGPT · run of Nov 2

What are the pros and cons of Amazon SageMaker AI?

Amazon SageMaker AI: Pros and Cons

ChatGPT · run of Nov 2

Best MLOps platform for startups

For a startup, the "best" MLOps platform isn't a bloated, expensive enterprise suite (like heavy instances of AWS SageMaker or Databricks right out of the gate).

Google AI Mode · run of Nov 2

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.

Google AI Mode · run of Nov 2

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…

Google AI Mode · run of Nov 2

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.

Perplexity · run of Nov 2

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.

Perplexity · run of Nov 2

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 roundTotal raised
——

Recent developments

  1. Oct 2026ProductGPU partitioning for real-time endpoints

    GPU partitioning for real-time endpoints lets several models share one GPU using NVIDIA MIG.

  2. Oct 2026ProductSageMaker MLflow Apps support MLflow 3.16

    SageMaker MLflow Apps now support MLflow 3.16.

  3. Oct 2026ProductTraining session APIs for serverless model customization

    Training session APIs for serverless model customization became available, billed per token processed.

  4. Oct 2026ProductStudio adds Google, GitHub, and Apple sign-in

    Studio added Google, GitHub, and Apple sign-in for new customers.

  5. 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

All alternatives

Amazon SageMaker AI most often appears alongside MLflow, Google Vertex AI, AWS in AI answers.

BrandVisibilityShare of voicevs last weekStarting price
Amazon SageMaker AI44.4%8%NewPricing not available
MLflow50.9%9.7%NewPricing not available
Google Vertex AI33.1%7.2%NewPricing not available
AWS35.7%7.5%NewPricing not available
Databricks46.2%7.6%NewPricing not available

What AI answers say

Sentiment and themes from the answers that mention this brand

Reviews

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.