Hamming Introduction

Hamming is an AI evaluation and optimization platform that helps engineering teams build reliable and high-quality AI products faster.
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What is Hamming

Hamming is an enterprise-grade platform for AI evaluations, observability, and optimization. Founded in 2024 by Marius Buleandra and Sumanyu Sharma, Hamming aims to make AI reliable for enterprises by providing tools to test, evaluate, and improve AI systems. The platform supports the development of various AI applications, from voice agents to RAG (Retrieval-Augmented Generation) systems, helping teams iterate faster and prevent regressions in production.

How does Hamming work?

Hamming works by providing a suite of tools for AI development and monitoring. Its Prompt Optimizer uses AI to automatically generate and refine prompts, saving significant manual effort. For voice agents, Hamming offers automated testing using AI-powered voice characters, allowing for rapid iteration. The platform also includes a comprehensive evaluation system that uses custom metrics to assess AI performance across various dimensions like accuracy, tone, and hallucination. In production, Hamming actively monitors AI system performance, flagging issues that need attention and allowing easy conversion of real-world interactions into test cases.

Benefits of Hamming

By using Hamming, engineering teams can significantly accelerate their AI development process, potentially shipping high-quality AI products up to 10 times faster. The platform's comprehensive testing and evaluation capabilities help eliminate hallucinations and errors, crucial for high-stakes domains where incorrect outputs can lead to user churn or regulatory issues. Hamming's active monitoring ensures ongoing reliability in production. Additionally, the platform's collaborative features support cross-team efforts, making it easier for different roles within an organization to contribute to and benefit from the AI development process.

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