# Helicone

**Source:** https://geo.sig.ai/brands/helicone  
**Vertical:** Infrastructure  
**Subcategory:** IT Operations  
**Tier:** Emerging  
**Website:** helicone.ai  
**Last Updated:** 2026-04-14

## Summary

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.

## Company Overview

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.

Helicone's LLM observability platform addresses the operational blindspot that makes production AI applications difficult to monitor, debug, and optimize: a developer deploying a GPT-4o powered application receives no visibility into which user requests are failing, which prompts are generating low-quality outputs, which requests are exceeding latency thresholds, or how API costs are distributed across user segments — visibility that traditional application monitoring tools provide for databases and APIs but not for LLM calls. Helicone's proxy architecture (routing LLM API calls through Helicone's logging infrastructure, adding less than 1ms latency, and capturing the full request/response for analysis) provides the observability layer that LLM application developers need to operate production AI with the same rigor they apply to traditional application monitoring — without requiring custom logging infrastructure build-out.

In 2025, Helicone competes in the LLM observability, AI application monitoring, and developer tools market with LangSmith (LangChain, LLM development and monitoring), Weights & Biases (NASDAQ pending, MLOps platform, $200M raised), and Arize AI (AI observability, $38M raised) for AI application developer and enterprise engineering team LLM monitoring, prompt management, and model optimization platform adoption. Y Combinator W23 backing connects Helicone with the AI developer tools and LLM infrastructure investor community. The open-source architecture (available on GitHub with self-hosting option) drives developer adoption and community contributions while the managed cloud product generates SaaS revenue from teams that want production reliability without infrastructure management. The 2025 strategy focuses on growing the enterprise tier (where security, compliance, and data residency requirements drive managed cloud adoption), building the prompt experiment and evaluation workflow (enabling teams to test prompt changes against production request samples before deploying), and expanding the AI gateway business (where Helicone's 100+ model routing becomes a single unified API for multi-model AI applications).

## Frequently Asked Questions

### What is Helicone?
Helicone is an open-source observability platform designed specifically for Large Language Model (LLM) applications. It enables developers to monitor, log, evaluate, and experiment with their AI applications through a simple one-line integration.

### Who founded Helicone?
Helicone was founded in 2023 by Justin Torre (CEO), Scott Nguyen, and Cole Gottdank. The company participated in Y Combinator's Winter 2023 batch.

### How does Helicone work?
Helicone provides a gateway and SDK that developers can integrate with a single line of code. Once integrated, it automatically logs all LLM requests, providing visibility into performance metrics, costs, latency, and user interactions across different AI providers.

### Which LLM providers does Helicone support?
Helicone supports over 100 AI models across multiple providers including OpenAI, Anthropic, LangChain, and many others. The unified gateway allows developers to route requests to different providers through a single integration.

### Is Helicone open source?
Yes, Helicone is an open-source platform, available on GitHub. This allows developers to contribute, customize, and self-host the platform if desired, while also offering managed cloud options.

### How much funding has Helicone raised?
Helicone has raised $500K in seed funding from Y Combinator and other investors including Alysia Silberg, Cadenza Capital, Coughdrop Capital, Flexcap Ventures, and Realm Capital Ventures.

### What problems does Helicone solve?
Helicone addresses key challenges in LLM development including cost tracking, performance monitoring, prompt debugging, latency optimization, and usage analytics across multiple AI providers and models.

### How many requests has Helicone processed?
As of 2024, Helicone has processed over 2.1 billion requests and supports more than 800 companies daily in production environments.

## Tags

b2b, platform, cloud-native, infrastructure, developer-tools, ai-powered, saas

---
*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*