Best Agentic AI Platforms for New Relic

Postman serves as a collaborative platform for developing APIs, designed to simplify the entire process of API creation and enhance teamwork, enabling the rapid development of superior APIs. The platform's features facilitate each phase of API construction, making it easier to collaborate and accelerate the creation of high-quality APIs. Users can quickly and effortlessly send requests for REST, SOAP, and GraphQL directly within Postman, optimizing their workflow. Additionally, it allows for the automation of manual tests, seamlessly integrating them into your CI/CD pipeline to safeguard against potential issues when code changes are deployed to production. API behavior can be communicated effectively by simulating endpoints and their respective responses without the need for a backend server setup. You can also generate and publish visually appealing, machine-readable documentation, which helps in making your API more accessible for users. Regular performance and response time checks ensure you stay informed about your API's health, allowing for proactive management. Lastly, Postman fosters a shared environment for API creation and consumption, enabling real-time collaboration among team members. Postman’s AI Agent Builder revolutionizes the development of AI agents with its no-code platform, enabling users to build, test, and deploy powerful agents without coding expertise. It provides access to a vast library of over 100,000 APIs and a variety of LLMs, offering tools to compare their performance, cost, and response quality. The visual workflow builder simplifies creating multi-step agent interactions, and its testing tools ensure reliability before deployment.

Zapier is a comprehensive AI automation platform that helps organizations transform how work gets done. It allows teams to connect AI tools with everyday apps to automate workflows end to end. Zapier supports AI workflows, custom agents, chatbots, forms, and data tables in one unified system. With over 8,000 integrations, it eliminates manual handoffs between tools and teams. Built-in AI assistance helps users design automations quickly without technical complexity. Zapier enables teams to deploy AI agents that work continuously, even outside business hours. The platform offers full visibility into automation activity with audit logs and analytics. Enterprise-grade security and compliance ensure safe AI adoption at scale. Zapier is used across departments including marketing, sales, IT, and operations. It helps teams save time, reduce costs, and scale productivity with confidence.

Workato is the operating platform for today's fast-moving businesses. It is the only AI-based middleware platform that allows both IT and business to integrate their apps and automate complex business workflows. Our mission is to help companies automate and integrate their apps and business processes at least 10x faster than traditional tools, and at a tenth the cost of traditional tools. Integration is a mission critical, neutral technology that can be used in heterogeneous IT environments. We are the only technology vendor that is supported by all three of the leading SaaS vendors: Salesforce. Workday. And ServiceNow. We are trusted by the world's most recognizable brands and the fastest-growing innovators. Customers consider us to be one of the best companies to do business.

Amazon Redshift is a modern cloud data warehouse platform developed by AWS to help organizations run large-scale analytics and AI-powered workloads with exceptional speed, scalability, and cost efficiency. The solution enables businesses to unify data across Amazon S3 data lakes, Redshift data warehouses, and federated third-party data sources using a secure and open lakehouse architecture. Redshift supports SQL-based analytics and provides organizations with the ability to process massive volumes of data while maintaining strong price-performance advantages compared to traditional cloud data warehouse platforms. The platform features AWS Graviton-powered RG instances that deliver faster query performance and lower operational costs while supporting open data formats such as Apache Iceberg and Apache Parquet. Redshift Serverless allows users to run analytics without provisioning or managing infrastructure, making it easier for teams to scale resources dynamically based on workload demands. The solution also includes zero-ETL integrations that enable near real-time analytics by connecting operational databases, streaming systems, and enterprise applications without requiring complex data engineering workflows. Amazon Redshift integrates with Amazon SageMaker for unified analytics and machine learning capabilities while also supporting Amazon Bedrock for generative AI applications and structured knowledge management. Organizations across industries use Redshift to improve forecasting, optimize business intelligence, accelerate machine learning operations, and monetize data assets more effectively.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

Superblocks is an enterprise platform designed to build and govern AI-generated applications using company data. It enables business teams to create production-ready apps without deep technical expertise. The platform integrates with major data systems such as Snowflake, Databricks, AWS, Google Cloud, and Azure. IT teams maintain centralized control over authentication, permissions, integrations, and auditing. Superblocks acts as a secure integration layer, ensuring apps do not directly access sensitive systems. It provides real-time monitoring of app usage, permissions, and potential vulnerabilities. The platform also enforces policies for security, compliance, and code standards across all applications. Users can deploy apps in cloud, hybrid, or private VPC environments based on security needs. Superblocks helps organizations replace legacy systems and accelerate internal tool development. Overall, it enables scalable, secure, and governed AI app creation across enterprise teams.

VoltAgent is a versatile open-source framework for TypeScript that empowers developers to create, tailor, and manage AI agents with unparalleled control, speed, and an exceptional developer experience. This framework equips users with a comprehensive set of tools designed for enterprise-grade AI agents, enabling the creation of production-ready solutions with cohesive APIs, utilities, and memory capabilities. One of its key features is tool calling, which allows agents to execute functions, communicate with various systems, and carry out specific actions. VoltAgent streamlines the process of switching between different AI service providers through a unified API, needing only a minor code modification. It also incorporates dynamic prompting, facilitating experimentation, fine-tuning, and the iterative development of AI prompts within a cohesive environment. Additionally, its persistent memory feature enables agents to save and retrieve past interactions, thereby improving their intelligence and contextual understanding. Beyond these capabilities, VoltAgent enhances collaborative efforts by employing supervisor agent orchestration, which enables the construction of robust multi-agent systems coordinated by a central supervisor agent managing specialized agents. This orchestration not only boosts efficiency but also allows for the creation of intricate workflows tailored to specific application needs.

Prefactor is a cutting-edge platform designed for real-time assessment, monitoring, and reliability of production AI agents. It evaluates each execution instantly based on metrics such as quality, drift, cost, and data risk, seamlessly integrating these assessments into actionable responses to ensure that any failing agent is detected in real time rather than merely reflected on a post-execution dashboard. Teams are equipped to monitor every model invocation, tool usage, and decision-making process through structured traces and spans, allowing them to conduct evaluations using LLM-as-judge, technical assessments, qualitative analyses, and custom metrics at every phase of the process. Additionally, context can be incorporated from various sources, including GitHub, Linear, Jira, databases, and internal APIs, serving as ground truth for evaluations. When a run exceeds predefined limits, Prefactor is capable of blocking or throttling it, pausing sensitive actions, or routing the decision to a person for approval, modification, or rejection prior to execution, with meticulous logging of each choice made. The command-line interface allows for the discovery of agents without the need for platform migration, while the TypeScript and Python SDKs ensure seamless integration with LangChain, Claude, Vercel AI, OpenClaw, and LiveKit, enhancing the overall functionality and adaptability of the platform. This comprehensive approach not only optimizes agent performance but also fosters collaboration among teams by providing clear visibility and control over the AI processes.

Doctor Droid is an innovative AI-powered platform aimed at transforming how engineering teams monitor and resolve issues. It streamlines intricate investigations by adhering to established procedures, analyzing data from various integrations, pinpointing root causes, and implementing standardized runbooks for automated recovery. By actively monitoring alerts, Doctor Droid equips teams with pertinent data and insights, thereby cutting down on-call time by as much as 80% and enabling quick responses from engineers. Additionally, it enhances the onboarding experience for new engineers by automating document searches, familiarizing them with new tools, and helping them understand data, which allows them to take on primary on-call responsibilities right from the start. Furthermore, Doctor Droid is capable of conducting spontaneous investigations, such as scrutinizing Kubernetes clusters or reviewing recent deployments, while also adapting to create new strategies based on user recommendations and existing documentation. It boasts seamless integration with over 40 different tools throughout the technology stack, which significantly enhances its functionality and versatility. As a result, engineering teams can operate more efficiently and effectively in a rapidly evolving environment.

Akka is a runtime and agentic systems platform designed for building reliable, distributed, high-performance applications at enterprise scale. The platform has a long production track record across banking, streaming, analytics, workflows, edge systems, digital twins, and mission-critical event processing. Akka uses in-memory actor-based concurrency, clustering, durable state, sharding, event journals, and real-time streaming with backpressure to support resilient applications that can survive failures and scale globally. Its Agentic AI Platform extends those runtime capabilities to AI systems, giving teams a way to build, govern, deploy, and verify agents as certified production services. Developers and business teams can describe desired systems through specifications, while Akka generates agents, tools, integrations, memory, workflows, APIs, streaming components, and user interfaces. Governance teams can define safeguards, approvals, evaluations, sanitizers, human-in-the-loop controls, human-on-the-loop controls, evidence requirements, and policy boundaries. Akka Verify validates what is running against the approved specification and supports fine-tuning from production data. The platform can run across Akka-hosted environments, customer VPCs, business continuity setups, sovereign cloud configurations, and major cloud providers. By combining runtime reliability, agentic orchestration, governance, observability, durable execution, and enterprise delivery support, Akka helps organizations move AI systems from prototype to production.

The AWS DevOps Agent is a solution provided by Amazon Web Services (AWS) that functions as a self-sufficient, continuously operating operations engineer, tasked with identifying and preventing issues within your infrastructure, applications, and deployment processes. This tool autonomously analyzes your application assets and their interconnections, encompassing infrastructure, code repositories, deployment workflows, monitoring tools, and telemetry data, to synthesize information from logs, metrics, traces, deployment activities, and recent code modifications. In the event of an alert, unexpected error surge, or a help request, the DevOps Agent promptly initiates an automated analysis; it conducts incident triage around the clock, performs root-cause examinations, and offers detailed remediation strategies that can seamlessly integrate into team workflows (for instance, through Slack, ServiceNow, or PagerDuty) or directly generate support tickets with AWS. Moreover, this proactive approach ensures that potential issues are addressed before they escalate, enhancing the overall reliability of your systems.