Products

Maple is an open-source observability platform built natively on OpenTelemetry. It unifies distributed tracing, log management, metrics dashboards, error tracking, browser session replay, and alerting in a single interface. Logs correlate to traces automatically, a live service map surfaces bottlenecks, and an AI/MCP integration lets you query your telemetry in natural language. Flat per-GB pricing, no proprietary agents, and you can read the source. FEATURES • Unified Observability: Combines l

AgentOps is a comprehensive developer platform designed to enhance the reliability and performance of AI agents and large language model (LLM) applications. By providing advanced observability tools, AgentOps enables developers to trace, debug, and deploy AI agents with confidence. The platform supports a wide range of LLMs and frameworks, including OpenAI, CrewAI, and Autogen, facilitating seamless integration into existing workflows. With features like visual event tracking, time-travel debugg

The Context Company offers a comprehensive platform designed to enhance the performance and reliability of AI agents in production environments. By providing deep insights into user interactions and identifying silent failures, the platform enables businesses to swiftly address issues and optimize their AI-driven services. Key Features and Functionality: - User Intent Analysis: Automatically detects user frustration, confusion, or dissatisfaction without the need to manually review every c

NotiLens is a smart alert platform that monitors your entire business stack and delivers real-time push notifications the instant something needs your attention. Most monitoring tools alert you when something breaks loudly. NotiLens also alerts you when something goes quietly wrong and that's the alert that saves your business. A signup flow that broke at 2am. A cron job that stopped without a trace. An AI agent that drifted off course while logs reported success. A payment flow that initiated b

LumiqTrace is an AI agent observability platform that tracks what happens inside multi-agent systems during production execution. When an agent runs, LumiqTrace captures every decision, tool call, sub-agent handoff, and planning span as a structured trace. Each span carries agent identity you can see which agent owns each step, what context was passed during delegation, what came back, and the latency and cost of each sub-execution. An agent map is built automatically from live execution data w

Discover, inventory, govern, and evaluate AI agents, MCP servers, and LLMs with full architecture and business context.

Respan provide self-driving AI observability and evals for agents. Respan is the first proactive AI observability platform that closes the loop from evals to iteration. It automatically traces and evaluates production behavior to turn results into concrete changes teams can ship.

Pruvz is the business evidence layer for AI agents: it verifies high-impact agent actions against your systems of record and turns outcomes into business intelligence. Every high-impact agent action becomes a verified business record: what the agent saw, which policy version applied at decision time, what action it took, and what the system of record (CRM, billing, ERP, ticketing) confirms. Signed audit trails and technical traces only prove what was recorded; Pruvz proves what actually happened

Obsivara is an AI observability and operations platform for teams running LLMs, AI agents, and automated workflows in production. It ingests traces via SDK, OpenTelemetry (OTLP), webhooks, or native n8n, then surfaces full execution traces, per-model/agent/workflow cost intelligence, continuous health scores, predictive failure alerts, a dependency knowledge map, and a weekly prioritized AI audit. Engineering and platform teams use Obsivara to see, debug, and control production AI catching silen

Hud is a runtime code sensor that runs with every function in production, and when something goes wrong, streams fix-ready forensics to engineers and coding agents.

AI agents don't fail like normal software. The same request gets a different answer, a prompt or model change quietly shifts behaviour, and a tool can return success while the task still fails. Standard monitoring shows the request went through. It doesn't show whether the answer was right. PRISM by Block Convey is the reliability layer for teams shipping AI agents: Agent observability: step-by-step traces of every model call, tool call and agent turn. Quality evaluation: LLM-as-judge plus de

Your AI agents are everywhere. Your AI value is nowhere. Roiva attributes the value of every AI agent and initiative to a dollar. Not token counts, not another usage dashboard — a number traceable to a formula and an integration source, across every agent, pilot, and initiative you run. Companies are deploying AI across support, sales, finance, and operations faster than they can measure it. Vendor dashboards report activity. Spreadsheets go stale the week they're built. And when the CFO asks