Helicone is an AI gateway and LLM observability platform that helps teams route, debug, and analyze their AI applications. It sits between an application and one or more LLM providers, capturing request data while adding reliability features.

What observability features does Helicone provide?

Helicone offers detailed logging of LLM requests and responses, along with analytics to debug and analyze application performance. This visibility helps developers understand latency, costs, and behavior across the models they call.

Does Helicone work with multiple LLM providers?

Yes. Helicone is designed to operate across various LLM providers through its gateway, so teams can route and monitor requests to different models from one place. This makes it easier to compare providers or switch between them.

What gateway features help improve reliability?

Helicone includes capabilities such as caching, rate limiting, and automatic retries to make AI applications more robust. Caching can reduce duplicate calls and cost, while retries and rate limiting help handle provider errors and traffic spikes.

Who typically uses Helicone?

Helicone is built for developers and companies building production AI applications who need to manage, optimize, and troubleshoot their LLM usage. It is aimed at teams that want both routing control and analytics in a single platform.

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Helicone

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Helicone is an AI gateway and LLM observability platform that helps companies route, debug, and analyze their AI applications.

📍 United States 👥 11-50 🏷 AI Infrastructure

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Total raised

—

Stage

—

Team

11-50

Pricing

Freemium

from $79/mo

Founded

—

Agent-ready

—

About Helicone

What Helicone does

Helicone is an AI gateway and LLM observability platform that helps companies route, debug, and analyze their AI applications. It gives developers visibility and control over LLM-powered systems so they can build reliable AI apps in production.

Key capabilities

Helicone routes API requests across multiple LLM providers, helps identify and resolve issues, and monitors performance and usage patterns. Its dashboard includes request tracking and segmentation, user session monitoring, prompt management, dataset handling for testing, rate limiting and alerts, and a custom query language for analysis. It integrates with providers including OpenAI, Anthropic, Azure, LiteLLM, Together AI, and OpenRouter.

Who it's for

Helicone targets developers and AI teams building LLM applications who need enterprise-grade observability, debugging, and cost and performance monitoring for production AI systems.

Key capabilities

AI Gateway

LLM Observability

Request Routing

Debugging Tools

Application Analytics

Caching

Rate Limiting

Retries

Technology stack

4detected May 30, 2026

Est. monthly stack spend ~$300/mo

Analytics

Google Analytics

CDN

Cloudflare

Framework

webpack

Infra

VercelAWS

Agent readiness

25/100

Early

MCP server

Public API

Webhooks

OAuth 2.0

SDKs

No public agent surfaces detected yet.

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Frequently asked

What is Helicone?: Helicone is an AI gateway and LLM observability platform that helps teams route, debug, and analyze their AI applications. It sits between an application and one or more LLM providers, capturing request data while adding reliability features.
What observability features does Helicone provide?: Helicone offers detailed logging of LLM requests and responses, along with analytics to debug and analyze application performance. This visibility helps developers understand latency, costs, and behavior across the models they call.
Does Helicone work with multiple LLM providers?: Yes. Helicone is designed to operate across various LLM providers through its gateway, so teams can route and monitor requests to different models from one place. This makes it easier to compare providers or switch between them.
What gateway features help improve reliability?: Helicone includes capabilities such as caching, rate limiting, and automatic retries to make AI applications more robust. Caching can reduce duplicate calls and cost, while retries and rate limiting help handle provider errors and traffic spikes.
Who typically uses Helicone?: Helicone is built for developers and companies building production AI applications who need to manage, optimize, and troubleshoot their LLM usage. It is aimed at teams that want both routing control and analytics in a single platform.

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About Helicone

What Helicone does

Key capabilities

Who it's for

Key capabilities

Technology stack

Agent readiness

Alternatives

Databricks

Figure AI

Upscale AI

Dash0

Noma Security

Ineffable Intelligence

Frequently asked

Explore more around Helicone

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