Observability 34

Platform for teams to use and deploy ComfyUI workflows with production-ready APIs. Comfy Deploy is a platform designed to help teams use ComfyUI more effectively. It provides production-ready APIs for ComfyUI workflows, enabling teams to collaborate and deploy AI applications faster. It offers features like a collaborative workspace, one-click API deployment, powerful managed GPUs, support for any models and custom nodes, and observability tools.

Serverless AI infrastructure platform for building, deploying, and scaling AI applications with cost savings. Cerebrium is a serverless AI infrastructure platform that simplifies the process of building, deploying, and scaling AI applications. It offers a variety of GPUs, large-scale batch job execution, and real-time voice application capabilities. Cerebrium aims to provide a cost-effective alternative to AWS and GCP, with customers experiencing over 40% cost savings. It focuses on optimizing the pipeline for fast cold starts and ensures system reliability with 99.999% uptime, SOC 2 & HIPAA compliance, and comprehensive observability tools.

No-code AI workflow platform with multi-LLM support and cost optimization. Prompteus is a platform designed for developers to build, deploy, and scale AI workflows using a no-code editor. It offers features like multi-LLM orchestration, adaptive caching, and built-in guardrails to ensure cost-effective, compliant, and robust AI operations. It provides observability, cost reduction, safety guardrails, and intelligent request routing for AI integrations.

Coval: AI agent simulation and evaluation platform for faster, reliable development. Coval is a simulation and evaluation platform designed to help developers build reliable voice and chat agents faster. It offers tools to create custom metrics, run thousands of scenarios, trace workflows, and integrate with CI/CD pipelines for actionable insights and peak agent performance. Coval allows users to test, monitor, and optimize their AI agents at scale, simulating conversations with customizable voices and environments. It also provides features for monitoring production calls, defining alerts, and analyzing performance to optimize AI agents.

Platform for building and monitoring AI applications with security, cost control, and tracking. UsageGuard is a platform designed for building and monitoring AI applications. It provides AI security, cost control, and usage tracking. It allows access to open-source and third-party AI models, including OpenAI, Meta, and Anthropic, with built-in safeguards, moderation, cost control, end-user, and usage tracking. It offers features like a unified API for all AI models, real-time streaming, session management, and enterprise-grade security.

Teammately: AI Agent for AI Engineers, automates LLM app development. Teammately is an AI Agent for AI Engineers, designed to automate and fast-track every step of the LLM app development lifecycle, from Dev to Ops. It aims to elevate the Time-to-value, Reliability, and ROI of LLM Apps.

Full-stack cloud observability platform for monitoring infrastructure, logs, and application performance. Middleware is a full-stack cloud observability platform that boosts operational efficiency by monitoring infrastructure, logs, APM, and more. It offers AI-driven issue detection, real-time data access, and strong security.

Unified cloud monitoring, observability, security, and incident response platform Datadog is a cloud-based observability, monitoring, security, and incident-response platform for infrastructure, applications, logs, networks, user experiences, software delivery, cloud costs, and AI systems. It unifies metrics, traces, logs, security signals, dashboards, alerts, integrations, and automated workflows so engineering, operations, security, and business teams can detect issues, investigate root causes, improve performance, and automate remediation across any stack.

AI-native, open-source observability for automated bug fixing and debugging. Traceroot is an AI-native, open-source observability tool that connects logs, traces, metrics, code, and team discussions. It doesn’t just summarize issues — it helps fix them by creating GitHub issues and PRs in a developer-friendly workflow. TraceRoot.AI is an AI-enhanced production debugging platform that visualizes logs, traces, and function calls in an interactive tree structure with contextual insights. It utilizes AI agents that automatically fix production bugs by analyzing structured logs and traces.

Open-source LLMOps platform for reliable AI apps. Agenta is an open-source LLMOps platform designed for building reliable and robust AI applications. It provides a comprehensive suite of tools for prompt management, prompt engineering, LLM evaluation, debugging, and monitoring of complex LLM applications. The platform aims to facilitate collaboration among developers and domain experts, enabling them to ship LLM applications faster and with confidence by moving from scattered workflows to structured processes.

AI-powered data pipeline for security and DevOps, optimizing telemetry data and reducing costs. Observo AI provides an AI Data Pipeline for Security and DevOps, enabling users to deliver the right data to the right place, accelerate threat detection and incident resolution, and control costs while expanding data coverage and eliminating blind spots. It offers solutions like Observo AI Data Pipeline, Observo Data Lake, Observo Orion AI, Observo Edge Collector, and Observo Query to optimize telemetry data using AI.

Enterprise monitoring platform for synthetic monitoring, APM, and observability. PerfAgents is an enterprise monitoring platform that combines testing and monitoring into a single pane of glass. It offers synthetic monitoring, application performance management, observability, DevOps, and SRE tools. It supports multiple frameworks like Playwright, Selenium, Puppeteer, and Cypress, and allows users to monitor user flows, REST APIs, and website performance from multiple locations.

Ardor automates AI agent development, deployment, and scaling on the cloud. Ardor is an all-in-one agentic software development lifecycle (SDLC) automation platform. It helps users build, deploy, and scale AI agents on the cloud, taking them from prompt to product in minutes. It simplifies AI software engineering by automating everything from architecture design to deployment and scaling.

AI API platform simplifying AI model integration, observability, and automation with 200+ models. Taam Cloud is an AI API platform that simplifies AI model integration, observability, and automation. It offers access to 200+ AI models via a unified API, optimizing costs, monitoring usage, and deploying AI-powered assistants, chatbots, and automation—securely and scalably. It helps developers and data scientists in AI integration with a single and secure AI API Key.

Open-source AI platform for LLM chatbot management, observability, and evaluation. Lunary is an open-source observability and evaluation toolkit for AI developers, providing log queries and tools to improve app quality. It's an AI developer platform designed to manage and improve LLM chatbots, offering chatbot analytics, internal knowledge management, customer support solutions, and autonomous agent deployment.

A directory for discovering AI infrastructure tools and services. Infrabase.ai is a directory for discovering AI infrastructure tools and services. It provides a resource focused on helping users find the components for their AI projects, whether they're seeking alternatives to existing solutions or exploring new AI infrastructure products. It aims to be the destination for understanding the AI infrastructure landscape.

Chainlit helps build, evaluate, and improve conversational AI applications with observability and analytics. Chainlit is a framework and platform designed to help developers and enterprises build, evaluate, and improve conversational AI applications. It provides tools for creating reliable AI systems, offering observability and analytics for LLM apps. Chainlit supports various deployment options, including standalone web apps, embedded copilots, FastAPI servers, and custom React or Slack/Discord/Teams bots. It also offers authentication and customization features, along with integrations with popular frameworks and LLM providers.

Parea AI: Experimentation and human annotation platform for AI teams to ship LLM apps. Parea AI is an experimentation and human annotation platform designed for AI teams. It provides tools for experiment tracking, observability, and human annotation, helping teams confidently ship LLM applications to production. Parea AI offers features such as auto-creating domain-specific evals, performance testing and tracking, debugging failures, human review, prompt playground, deployment tools, observability, and dataset management.

Open-source GenAI/LLM observability platform with APM, native to OpenTelemetry. OpenLIT is an open-source GenAI and LLM observability platform native to OpenTelemetry. It provides Application Performance Monitoring (APM) & Observability for GenAI and LLM applications, unifying traces and metrics in a single interface. OpenLIT simplifies AI development workflows, especially for Generative AI and LLMs, by streamlining tasks like experimenting with LLMs, organizing prompts, and securely handling API keys.

Openlayer is an AI testing and observability platform for ML models and data. Openlayer is a powerful testing and observability platform for ML, designed for enterprises. It enables collaboration on finding and debugging issues in models and data, and committing new versions. Openlayer provides unified AI evaluation, observability, and governance across the AI lifecycle, from ML to LLMs. It supports testing, monitoring, and governing AI systems, ensuring a smooth transition from prototype to production through ongoing testing. Openlayer integrates with Git, offers SDKs, and works with various LLM providers, customizable via CLI and REST API.

KubeHA automates Kubernetes alert recovery using GenAI, improving efficiency and reducing alert fatigue. KubeHA is a GenAI-powered SaaS platform designed to streamline alert management and automate alert recovery in Kubernetes environments. It provides analysis and remediation of alerts, answers questions on specific alerts for debugging, scans clusters for errors, automates runbooks, and generates audit reports. KubeHA aims to improve the quality of life for DevOps, SREs, and support teams by reducing alert fatigue and increasing efficiency.

AI-powered reliability engineer automating troubleshooting for Kubernetes and cloud infrastructure. Webb.ai offers Matt, an AI-enabled reliability engineer that automates troubleshooting to identify the root cause in <5 mins. Matt troubleshoots alerts from Observability tools (e.g., Datadog), cloud providers (e.g., AWS), and infrastructure (e.g., K8s). It helps troubleshoot Kubernetes infrastructure and applications fast and effectively with AI intelligence that keeps your cloud native stack safe and reliable.

Open Source Observability and Evaluations Platform for AI Agents. Langtrace is an Open Source Observability and Evaluations Platform for AI Agents. It helps transform AI Prototypes into Enterprise-Grade Products by providing observability and evaluations to measure performance and iterate towards better performance and safety with AI agents. Langtrace supports frameworks like CrewAI, DSPy, LlamaIndex & Langchain, and a wide range of LLM providers and VectorDBs out of the box. It offers simple setup, vital metrics tracking, API request exploration, and prompt version control.

AI platform for building custom evaluation and scoring systems for LLMs. Pi Labs offers an AI-powered platform designed to automatically build evaluation systems (evals) for AI applications, particularly those involving Large Language Models (LLMs) and agents. It enables users to create custom scoring models that precisely match user feedback and prompts, ensuring highly accurate and consistent evaluation. The platform integrates seamlessly with various existing tools and provides a fast, highly accurate foundation model called Pi Scorer for comprehensive metrics, observability, and agent control across the entire AI stack.