Middleware vs Helicone
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cloud-native observability platform with APM, traces, logs, and metrics; OpenTelemetry-native cost-effective Datadog alternative targeting DevOps teams at growing companies.
About
Middleware is an observability and monitoring platform providing application performance monitoring (APM), distributed tracing, log management, and infrastructure metrics in a unified view for engineering teams running cloud-native applications. Founded in 2021 and headquartered in San Francisco, Middleware raised approximately $6 million and targets DevOps and SRE teams at growing companies who need comprehensive observability without the cost and complexity of enterprise platforms like Datadog or New Relic.
SF YC W23 open-source LLM observability with single-line integration processing 2.1B+ requests for 800+ companies daily; monitoring OpenAI/Anthropic with cost tracking and prompt analytics competing with LangSmith for AI application observability.
About
Helicone is a San Francisco-based open-source LLM observability and monitoring platform — backed by Y Combinator (W23) — providing AI application developers and engineering teams with comprehensive visibility into their large language model deployments: request logging, latency monitoring, cost tracking, prompt analytics, caching, and access to 100+ AI models through a unified gateway — with single-line code integration for OpenAI, Anthropic, LangChain, and other major AI providers. Processing 2.1+ billion requests and supporting 800+ companies in production daily, Helicone enables developers to monitor AI application performance, debug prompt failures, track per-user costs, and optimize model selection across the fragmented LLM provider ecosystem. Founded in 2023 by Justin Torre, Scott Nguyen, and Cole Gottdank.
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