
Approximately 25 million engineers are employed across a wide variety of specific roles. As companies increasingly transform into software-centric organizations, engineers are leveraging New Relic to obtain real-time insights and analyze performance trends of their applications. This capability enables them to enhance their resilience and deliver outstanding customer experiences. New Relic stands out as the sole platform that provides a comprehensive all-in-one solution for these needs. It supplies users with a secure cloud environment for monitoring all metrics and events, robust full-stack analytics tools, and clear pricing based on actual usage. Furthermore, New Relic has cultivated the largest open-source ecosystem in the industry, simplifying the adoption of observability practices for engineers and empowering them to innovate more effectively. This combination of features positions New Relic as an invaluable resource for engineers navigating the evolving landscape of software development.
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StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment.
Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected.
AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more.
Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production.
StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs.
A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires.
By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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Arato.ai
Arato.ai is an all-encompassing platform designed for the creation of structured, reliable, and production-ready large language models (LLMs), with the goal of enabling teams to confidently develop, test, and scale generative AI applications. It effectively manages complex systems while simplifying workflow by effortlessly integrating with any LLM stack and linking to existing AI applications without requiring extensive rewrites, elaborate setups, or complicated integrations. The platform empowers teams to create multi-modal user experiences across text, voice, data, and images, allowing for thorough evaluation of AI behavior before it engages with customers and ensuring compliance with AI regulatory frameworks like the EU AI Act and ISO/IEC 42001. One of its notable offerings, Arato Simulate, serves as a black-box simulation tool that replicates realistic user interactions to meticulously assess AI applications for accuracy, security, compliance, costs, and user experience based on their business implications. By uncovering issues that conventional testing approaches frequently miss—such as multi-turn dialogues, edge cases, adversarial scenarios, persona-specific limitations, and large-scale hurdles—Arato significantly boosts the reliability and performance of AI solutions. As a result, this forward-thinking platform not only streamlines the development process but also guarantees that AI systems are robust, reliable, and primed for deployment in real-world settings. Furthermore, the ability to simulate user interactions allows teams to iterate more rapidly, fostering innovation and ultimately enhancing the overall development experience.
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Agenta
Agenta is a full-featured, open-source LLMOps platform designed to solve the core challenges AI teams face when building and maintaining large language model applications. Most teams rely on scattered prompts, ad-hoc experiments, and limited visibility into model behavior; Agenta eliminates this chaos by becoming a central hub for all prompt iterations, evaluations, traces, and collaboration. Its unified playground allows developers and product teams to compare prompts and models side-by-side, track version changes, and reuse real production failures as test cases. Through automated evaluation workflows—including LLM-as-a-judge, built-in evaluators, human feedback, and custom scoring—Agenta provides a scientific approach to validating prompts and model updates. The platform supports step-level evaluation, making it easier to diagnose where an agent’s reasoning breaks down instead of inspecting only the final output. Advanced observability tools trace every request, display error points, collect user feedback, and allow teams to annotate logs collaboratively. With one click, any trace can be turned into a long-term test, creating a continuous feedback loop that strengthens reliability over time. Agenta’s UI empowers domain experts to experiment with prompts without writing code, while APIs ensure developers can automate workflows and integrate deeply with their stack. Compatibility with LangChain, LlamaIndex, OpenAI, and any model provider ensures full flexibility without vendor lock-in. Altogether, Agenta accelerates the path from prototype to production, enabling teams to ship robust, well-tested LLM features and intelligent agents faster.
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