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What is Hamming?

Experience automated voice testing and monitoring like never before. Quickly evaluate your AI voice agent with thousands of simulated users in just minutes, simplifying a process that typically requires extensive effort. Achieving optimal performance from AI voice agents can be challenging, as even minor adjustments to prompts, function calls, or model providers can significantly impact results. Our platform stands out by supporting you throughout the entire journey, from development to production. Hamming empowers you to store, manage, and synchronize your prompts with your voice infrastructure provider, achieving speeds that are 1000 times faster than conventional voice agent testing methods. Utilize our prompt playground to assess LLM outputs against a comprehensive dataset of inputs, where our system evaluates the quality of generated responses. By automating this process, you can reduce manual prompt engineering efforts by up to 80%. Additionally, our monitoring capabilities offer multiple ways to keep an eye on your application’s performance, as we continuously track, score, and flag important cases that require your attention. Furthermore, you can transform calls and traces into actionable test cases, integrating them seamlessly into your golden dataset for ongoing refinement.

What is Feather?

Feather is an advanced voice agent platform that utilizes AI technology, enabling businesses to design, customize, deploy, and manage intelligent phone call automation that mimics human conversations and efficiently handles real tasks at a large scale, thereby supporting both incoming and outgoing calls with features such as context-aware memory, multilingual support, smooth transitions to human representatives, and critical telephony functionalities like hold music and voicemail detection. The platform's agents are capable of accessing company knowledge bases for accurate information and can integrate effortlessly with calendars and CRMs to schedule appointments, follow up on leads, and simplify repetitive communication tasks, which empowers teams to harness new opportunities and focus on more strategic initiatives. Built with high reliability for enterprise-level use, Feather also provides a comprehensive suite of observability and quality assurance tools to ensure consistent call performance while supporting a variety of integrations through APIs and webhooks. Additionally, it can be tailored for agencies and software developers, all while strictly following compliance and data security standards, which guarantees that businesses can communicate confidently and efficiently. In the competitive landscape of today’s business world, implementing a solution like Feather not only enhances customer interactions but also drives operational efficiency by freeing up valuable resources for more impactful tasks. As companies continue to seek innovative ways to improve their communication strategies, Feather stands out as a pivotal tool in achieving those goals.

Media

Media

Integrations Supported

Claude
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Enterprise
Gemini Nano
Gemini Pro
Google AI Plus
OpenAI
Retell AI
Vapi AI

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Hamming

Company Website

hamming.ai/

Company Facts

Organization Name

Feather

Date Founded

2022

Company Location

United States

Company Website

www.featherhq.com

Categories and Features

AI Voice Agents

Not specified

Prompt Engineering

Not specified

Voice Bot

Not specified

Categories and Features

AI Receptionists

Not specified

AI Voice Agents

Not specified

Voice Bot

Not specified

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