The 10 Coolest Agentic AI Platforms And AI Products Of 2025
From new agentic AI platforms from AWS, Google and Microsoft to innovative AI products from CrowdStrike, Databricks and Salesforce—here are 10 of the coolest AI offerings launched in 2025.
The world’s most innovative AI companies launched a slew of new agentic platforms, AI products and tools in 2025 that customers are clamoring for.
Research firm IDC forecasts that by 2030, 45 percent of organizations will orchestrate AI agents at scale, embedding them across business functions.
Global AI leaders like Amazon Web Services, Cisco Systems, Google and Microsoft continue to focus their R&D dollars toward building new AI products and agents, with AI innovation coming from all corners of the IT market—from Atera and CrowdStrike to Databricks and Salesforce.
By 2026, 40 percent of all job roles inside the world’s largest 2,000 public companies will involve working with AI agents, redefining traditional entry, mid- and senior-level positions, IDC predicts.
Rick Villars, group vice president of IDC’s Worldwide Research, said business leaders can’t control the geopolitical and technology crosscurrents shaping today’s economy.
[Related: Microsoft Vs. AWS Vs. Google Cloud Q3 2025 Earnings Face-Off]
“But with a clear AI transformation strategy, strong data and infrastructure, and a skilled AI-ready workforce, they can turn disruption into advantage and steer their organizations toward sustainable growth in the AI era,” said Villars in a statement.
In addition, IDC estimates that by 2027, companies that do not prioritize high-quality, AI-ready data will struggle scaling GenAI and agentic solutions, resulting in a 15 percent productivity loss.
CRN breaks down the 10 of the coolest agentic AI platforms, generative AI tools and artificial intelligence products launched in 2025 from AWS, Atera, Cisco, CrowdStrike, Databricks, Google, Microsoft, HPE, Salesforce and Snowflake that every business needs to know about.
Amazon Web Services
Amazon Bedrock AgentCore
Amazon Bedrock AgentCore is an agentic platform and set of services for building, deploying and operating AI agents securely at scale.
With AgentCore, users can easily enable agents to take actions across tools and data, run agents securely with low latency and extended runtimes, and monitor agents in production.
AWS’ platform is comprised of fully managed services that can be used together or independently and work with any framework—such as OpenAI Agents SDK, Google ADK, CrewAI and Strands Agents—as well as any foundation model.
AgentCore aims to eliminate complex integration work that typically slows implementation.
AI agents and tools purchased through the AWS Marketplace can be configured to work with Amazon Bedrock AgentCore.
Atera
IT Autopilot
Positioned as a junior IT technician, Atera’s new IT Autopilot engages directly with end users to address common requests such as password resets and computer reboots.
Geared toward solution providers and MSPs, IT Autopilot is an AI agent built for tech teams facing rising ticket volumes, staff shortages and growing demands for instant resolution.
IT Autopilot has built-in features including agentic AI, memory, planning, autonomous action and live system integration.
Embedded into platforms like Microsoft Teams, Slack and WhatsApp, it works 24x7 autonomously to handle requests and manage routine tasks.
Operating under customizable company policies, Atera’s platform ensures safety and compliance while freeing human technicians to focus on more challenging tasks.
Unified Edge
Cisco says its new Unified Edge is not a server, but a platform that extends data center power and scales to the edge where applications and AI inferencing data are generated.
The Unified Edge platform integrates compute, networking, storage and security into a single system to simplify AI workload management.
It has been infused with Cisco Intersight, which allows customers to extend the same operational model used in the data center all the way out to the edge.
Cisco’s Unified Edge has a modular design, high-performance networking, and pre-validated systems that provide agile and uninterrupted AI operations.
The platform is supported by an ecosystem that includes third-party vendors such as Nutanix, VMware and Microsoft.
CrowdStrike
Falcon Agentic Security Platform
CrowdStrike recently debuted its Falcon Agentic Security Platform, purpose-built to harness, operationalize and scale agentic AI for cybersecurity.
The AI security platform unifies data, intelligence, agents and governance to secure and operationalize AI at scale.
At its core, CrowdStrike’s Enterprise Graph data layer unifies and contextualizes across security domains, giving humans and AI agents the context to see, reason and quickly defend.
The Falcon Agentic Security Platform also includes a no-code platform, dubbed Charlotte AI AgentWorks, to give every user the ability to build, test, deploy and orchestrate trusted security agents.
It has agent collaboration capabilities powered by MCP (model context protocol) that makes the Falcon platform the operating center of the agentic ecosystem, securely uniting enterprise systems and orchestrating agents for faster investigations.
Databricks
Agent Bricks
Databricks’ new Agent Bricks is a unified workspace that provides an automated way for users to create high-performing AI agents tailored to a business.
Developers provide a high-level description of the agent’s task and connect it to enterprise data. Agent Bricks then automatically generates task-specific evaluations and LLM judges to assess quality and create synthetic data to supplement the agent’s learning. It then searches across the full gamut of optimization techniques to refine the agent.
Agent Bricks is designed to overcome common agentic AI issues like organizations’ lack of enough data to build agents and difficulty evaluating how well they work once in production.
Agents developed using Agent Bricks can be used for information extraction, knowledge assistant and custom LLM agents for such tasks as summarization and classification.
Google Cloud
Gemini Enterprise
Google Cloud’s Gemini Enterprise brings together several AI technologies including Google’s Gemini models, first- and third-party AI agents, and core conversational AI and orchestration innovation from Google Agentspace.
Gemini Enterprise includes a no-code workbench so any user can analyze information and orchestrate agents to automate processes across an organization.
Combined with Google DeepMind’s models and customers’ own corporate data, agents can access and synthesize information from internal systems as well as Google AI tools like Code Assist and Deep Research within a single enterprise workflow.
Gemini Enterprise securely connects to customers’ data wherever it lives—including Google Workspace, Microsoft 365 and Microsoft SharePoint, to business applications like Salesforce and SAP.
With built-in security and governance, the platform enforces granular access permissions—ensuring agents can only use data and take actions that individuals are authorized for, with protections like Model Armor built into Gemini Enterprise.
HPE
Juniper Mist
HPE boosted its AI-native Juniper Mist platform to deliver agentic AIOps through more autonomous, intelligent and proactive network operations.
New enhancements to Juniper Mist include agentic AI-powered troubleshooting, expanded visibility and control of self-driving actions, a generalized Large Experience Model and new AIOps features for data centers.
Inside the Juniper Mist AI platform is a new Marvis AI Assistant that analyzes telemetry across wired, wireless, WAN and data center domains and creates automated workflows to simplify operations and lower costs.
The Marvis Actions dashboard now supports the autonomous remediation of more network issues, including misconfigured ports, capacity issues and noncompliant hardware.
Juniper Mist now includes the Marvis AI Assistant for Data Center that integrates with a contextual graph database to deliver insight and lay the groundwork for autonomous service provisioning.
Microsoft
Azure AI Foundry Agent Service
Unveiled this year, Microsoft’s Azure AI Foundry Agent Service lets developers design, deploy, scale and manage AI agents securely.
The Azure AI Foundry Agent Service promotes a flexible, use-case-agnostic environment for developing solutions that can automate complex business processes.
Microsoft’s service supports multi-agent workflows, enabling the coordination of specialized agents on high-level and long-running tasks.
The platform allows developers to create agents quickly using either OpenAI SDKs or Azure AI Foundry SDKs.
Azure AI Foundry Agent Service integrates directly with a wide range of Microsoft services, including Bing, SharePoint and Databricks.
The new service also has built-in monitoring and evaluation tools via AgentOps that enable developers to assess agent performance based on metrics like accuracy and efficiency.
Salesforce
Agentforce 360
Salesforce says its new Agentforce 360 will close the agentic divide between humans and AI agents with a unified platform that includes the company’s Agentforce Platform, Data 360, Customer 360 Apps and Slack.
The agentic platform includes a Hybrid Reasoning Engine that provides a control system with the goal of predictable agent behavior while keeping the creativity.
Salesforce’s Agentforce Builder, built into the platform, offers predictable logic, a conversational build and test loop, as well as a natural language approach.
Agentforce Studio and Agent Observability are also inside the agentic platform to create a continuous agent improvement flywheel.
Other features include seamless voice capabilities to hand off calls between AI agents and humans, multi-agent orchestration, as well as context engineering with the ability to process unstructured and structured data.
Snowflake
Snowflake Intelligence
Snowflake Intelligence is a new agentic offering built to help business users interact directly and securely with an organization's data.
Organizations can use Snowflake Intelligence to converse in natural language, access both structured and unstructured data, and configure agents to perform tasks based on insight, such as sending notifications, updating records in other systems or triggering workflows.
With its built-in Deep Research Agent for Analytics, users can go beyond simple retrieval to analyze data, investigate complex business questions and uncover trends.
Snowflake Intelligence is built on Snowflake’s security framework with all existing role-based access controls, data masking policies and governance rules automatically honored in every conversation.
Snowflake Intelligence combines with Snowflake’s connectivity capabilities—such as Snowflake Openflow—that enables access and synthesizes information from Snowflake and third-party applications.