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SlateIndex

Anyscale

New

Production-scale AI with Ray

MLOps PlatformsSan Francisco, California, USA201–500 employeesFounded 2019

Visibility score
0.6%
New vs last week
Weekly run · Nov 2

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

  • Anyscale ranks #43 of 61 in MLOps Platforms with an AI visibility score of 0.6 (SlateIndex, Nov 2, 2026).
  • Anyscale is most visible on ChatGPT (0.9) and least on Perplexity (0).
  • AI engines name Anyscale in 2 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
  • amazon.com is the source AI engines cite most in answers about Anyscale, with 2 citations.

About

Company details for Anyscale

Anyscale is a managed platform built on Ray, the open-source distributed compute framework its creators developed. It runs data processing, distributed training and batch or online inference on GPUs, either hosted by Anyscale or inside the customer's own cloud or on-prem through BYOC. It ranks #43 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 0.6 in the latest weekly run.

Founded in 2019 and headquartered in San Francisco, California, USA, the company employs 201–500 people. Its differentiator: managed, production-grade Ray built by the creators of Ray, deployable in the customer's own cloud through BYOC.

Categories
MLOps Platforms
Company size
201–500 employees
Headquarters
San Francisco, California, USA
Founded
2019
Company type
Private, venture-backed
Funding
Series C (second tranche)
Pricing
Contact sales · usage-based
Free trial
—
Deployment
Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem
Platforms
AWS, Azure, GCP, Nebius, CoreWeave, On-prem, Kubernetes
Compliance
SOC 2 Type II, ISO/IEC 27001
Support
Business-hours support with 5 case submissions on hosted plans, 24x7 expert support with BYOC, Enterprise SLAs with 24x7 coverage and unlimited case submissions, Documentation, discussion forum and Slack community for Ray

Read from linkedin.com, anyscale.com, devtune.ai, facebook.com, docs.anyscale.com, trust.anyscale.com · refreshed Nov 2, 2026.

AI visibility

Latest weekly run · Nov 2 · next run Nov 9

Visibility score
0.6%
across MLOps Platforms answers, weighted by position
ChatGPT0.9%
AI Mode0.9%
Perplexity0%
Change
New
vs last week’s run
Category rank
#43 of 61
in MLOps Platforms
Mentions
2
in this week’s run
Share of voice
0.3%
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.

Now0.6%
30-day change—
High · low0.6% · 0.6%
Rank#43
0%25%50%75%100%Nov 2Anyscale 1%

Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.

Media

Website and product screenshots for Anyscale

All media

AI mentions & citations

Recent answers that name Anyscale

All prompts

Products & features

What Anyscale sells

Anyscale Platform

Managed, production-grade Ray clusters for data processing, model training and online inference, with orchestration, observability and governance.

Ray

Open-source distributed compute engine that scales Python code from a laptop to clusters, created by the Anyscale team.

Ray Data

Distributed data processing library for multimodal data curation and batch inference.

Ray Train

Distributed model training library for GPU clusters.

Ray Serve

Library for serving models for online inference.

Anyscale Runtime

Fully managed, Ray-compatible runtime for running workloads in production.

Anyscale Operator for Kubernetes

Operator for running Anyscale clusters on Kubernetes.

Target market & buyers

AI builders and ML teams, including foundation model builders.

Notable customers include Coinbase, Notion, Bedrock Robotics, Lila.

IndustryPrimary use case
Generative AI and foundation modelsDistributed training, post-training and multimodal data curation
RoboticsProcessing large robotics datasets
Financial servicesTraining fraud models on TB-sized datasets
SearchEmbedding generation and multimodal search

Funding & recent developments

Funding

RoundYearAmount
Series A2019$20M
Series B2020$40M
Series C2021$100M
Series C (second tranche)2022$99M
Latest known roundTotal raised
Series C (second tranche)—

Recent developments

  1. Jul 2026CompanyNscale agrees to acquire Anyscale

    Nscale signed a definitive agreement to acquire Anyscale, reportedly for about $1.65B. Closing is expected in the second half of 2026, subject to regulatory approval.

  2. Mar 2026ProductGoogle Cloud dependency retirement warnings

    Release notes warn that Anyscale clouds deployed on GCP VMs depend on a retiring Google Cloud dependency.

  3. Jan 2026ProductKubernetes operator 1.3.1 and 1.3.2 released

    Anyscale released versions 1.3.1 and 1.3.2 of its operator for Kubernetes.

  4. Jan 2026ProductDark mode added to the console

    Dark mode was added to the Anyscale console.

Competitive landscape

How Anyscale compares with its top three alternatives

All alternatives

Anyscale most often appears alongside MLflow, Databricks, Amazon SageMaker AI in AI answers.

BrandVisibilityShare of voicevs last weekStarting price
Anyscale0.6%0.3%NewContact sales
MLflow50.9%9.7%NewPricing not available
Databricks46.2%7.6%NewPricing not available
Amazon SageMaker AI44.4%8%NewPricing not available
AWS35.7%7.5%NewPricing not available

Pricing

Usage-based pricing

Full pricing
Pay as you goCustomusage (compute hours)
Committed contractsCustomcontact sales

Cite as: SlateIndex, “Anyscale AI visibility profile”, https://slateindex.ai/brand/anyscale, data of Nov 2, 2026. Licence: CC BY 4.0.