Case Study: Tenali achieves ultra-low-latency real-time sales AI and 10x cost savings with Groq

How Tenali is Redefining Real-Time Sales with Groq

Tenali is an AI-powered real-time sales assistant that listens to live customer conversations, detects questions, retrieves answers from company data, and surfaces responses to sellers within seconds. The business was blocked by latency: prior vendors like OpenAI, Anthropic, and Fireworks produced 5–10 second delays that killed momentum on live calls, so Tenali needed a platform that could deliver genuine real-time performance — which is where Groq came in.

Groq provided an LPU-powered architecture and TruePoint numerics that let Tenali run smaller open-source models (e.g., Llama 70B, Whisper-large-v3-turbo, gpt-oss-20B at 128k) with much lower latency and high accuracy. With Groq, Tenali cut latency from seconds to ~200 ms (and to 50 ms with Gemma models), achieved >25x speed improvements, reduced transcription costs from $0.40/hr to $0.04/hr, and now shortens sales cycles by 33% while boosting rep productivity 4x — making Groq the foundational partner that enabled Tenali’s product to exist.

Tenali

Aniket Patel

CEO & Co-Founder