AboutHumans make billions of calls/day. We think a majority of these will be handled by AI built by thousands of companies tackling every single vertical. Making these AI voice agents reliable is hard. A small change in prompts, function call definitions, or model providers can cause large changes i...
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AboutHumans make billions of calls/day. We think a majority of these will be handled by AI built by thousands of companies tackling every single vertical. Making these AI voice agents reliable is hard. A small change in prompts, function call definitions, or model providers can cause large changes in LLM outputs. Hamming automates testing for AI voice agents. With one click, 1000s of our voice agents call our customer’s voice agents using different accents, tones, cadences, and personalities. For each call, we provide detailed bug reports. Our revenue grew 8X in the last month. Sumanyu (CEO) previously helped Citizen (safety app) grow its users by 4X and grew an AI-powered sales program to 100s of millions in revenue/year at Tesla. Marius (CTO) previously ran data infrastructure @ Anduril and was a founding engineer @ Spell (MLOps startup acquired by Reddit).TechTECH STACK Essentials: Next.JS, TypeScript, Python, Tailwind AI: OpenAI, Anthropic, STT, TTS, etc. Infrastructure: PostgreSQL, k8INTERESTING TECHNICAL CHALLENGESCreate voice simulations that model the real world (background noise, accents, etc.) Generalize DSPy style prompt optimization to voice Support 10K parallel calls with 99.99% reliability
