Best Agentic AI Platforms for Amazon SageMaker

Compare the Top Agentic AI Platforms that integrate with Amazon SageMaker as of September 2026

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This a list of Agentic AI platforms that integrate with Amazon SageMaker. Use the filters on the left to add additional filters for products that have integrations with Amazon SageMaker. View the products that work with Amazon SageMaker in the table below.

What are Agentic AI Platforms for Amazon SageMaker?

Agentic AI platforms enable organizations to build, deploy, and manage autonomous or semi-autonomous AI agents that can plan, reason, and take actions across systems. These platforms provide tools for agent orchestration, memory management, tool integration, and decision-making workflows. They often support multi-agent collaboration, monitoring, and governance to ensure reliability and compliance. Many agentic AI platforms integrate with enterprise applications, data sources, and APIs to execute complex tasks end to end. By operationalizing intelligent agents, agentic AI platforms help businesses automate knowledge work and scale AI-driven operations. Compare and read user reviews of the best Agentic AI platforms for Amazon SageMaker currently available using the table below. This list is updated regularly.

1

Domino Enterprise AI Platform

Domino Data Lab

Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.

1 Rating

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2

Dataiku

Dataiku

Dataiku is an enterprise AI platform designed to help organizations move from fragmented AI efforts to fully scalable and governed AI success. It brings together people, data, and technology into a single system that enables collaboration between domain experts and technical teams. The platform allows users to build, deploy, and manage AI models, analytics workflows, and AI agents with greater efficiency. Dataiku emphasizes orchestration by connecting data sources, applications, and machine learning processes into unified pipelines. It also provides strong governance capabilities, helping organizations monitor performance, control costs, and reduce risks across AI initiatives. Businesses across industries use Dataiku to modernize analytics, automate workflows, and scale machine learning across teams. With proven results from global enterprises, the platform supports faster innovation and measurable ROI through AI-driven solutions.

1 Rating

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3

Camunda

Camunda

Camunda enables organizations to orchestrate and automate processes across people, systems, and devices to continuously overcome complexity, increase efficiency, and fully operationalize AI. Built for business and IT users, Camunda’s leading orchestration and automation platform executes any process at the required speed and scale to remain competitive without compromising security and governance. Over 700 companies across all industries, including Atlassian, ING, and Vodafone trust Camunda with the design, orchestration, automation, and improvement of their business-critical processes to accelerate digital transformation. To learn more visit camunda.com.

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4

Amazon Redshift

Amazon

Amazon Redshift is a cloud-based data warehouse solution from AWS designed to deliver high-performance analytics and support modern AI-driven workloads. The platform enables organizations to analyze large volumes of structured and unstructured data across data warehouses, data lakes, and third-party sources using SQL. Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.

Starting Price: $0.543 per hour

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5

Akira AI

Akira AI

Akira.ai provides businesses with Agentic AI, a set of specialized AI agents designed to optimize and automate complex workflows across various industries. These AI agents collaborate with human teams, enhancing productivity, making real-time decisions, and automating repetitive tasks, such as data analysis, incident management, and HR processes. The platform integrates smoothly with existing systems, including CRMs and ERPs, ensuring a disruption-free transition to AI-enhanced operations. Akira’s AI agents help businesses streamline their operations, increase decision-making speed, and boost overall efficiency, driving innovation across sectors like manufacturing, finance, and IT.

Starting Price: $15 per month

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6

Amazon Bedrock

Amazon

Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices.

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