BotBot
BotBot is a testing and optimization platform for voice AI agents that lets teams change agent behavior in plain English—tone, pacing, persona, and promos—without redeploying code. The platform runs A/B experiments on live calls to measure impact on revenue metrics like order value and satisfaction, and integrates with existing voice stacks via a three-line SDK for Pipecat, Deepgram, ElevenLabs, or OpenAI.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Voice AI agents are typically configured with static behaviors chosen before launch, and changing those behaviors requires engineering tickets and long wait times. Teams have no way to know whether their agent's greeting, pacing, or upsell timing actually drives better outcomes, leaving revenue-impacting decisions based on guesswork.
Solution
BotBot is a testing and optimization platform for voice AI agents that lets teams change agent behavior in plain English—tone, pacing, persona, promos, and how it handles different situations—without redeploying code. The platform runs experiments on live calls, comparing variants side-by-side to measure impact on revenue metrics like order value, satisfaction, speed, and completion. It works with existing voice stacks via a three-line SDK integration on Pipecat, Deepgram, ElevenLabs, or OpenAI, or BotBot can supply the full agent. The platform provides conclusive experiment results, such as identifying that a warmer greeting costs 8 seconds but reduces order value by 1.8%, helping teams learn what behavior works best for their brand.
Target Audience
Primary customers are product, operations, and growth teams at companies using voice AI agents for revenue-critical calls such as ordering, booking, scheduling, upsell, and service recovery.
Features
- Plain-English behavior controls for tone, pacing, persona, promos, and rush-hour handling without code changes
- A/B testing on live calls with side-by-side variant comparison and conclusive statistical results
- Experiment granularity down to a single location, with metrics like average order value and call duration
- SDK integration in three lines for Pipecat, Deepgram, ElevenLabs, or OpenAI, or a full managed agent option
- Measurement of revenue metrics including order value, satisfaction, speed, and completion rates
- Rollback capability for underperforming variants, as shown in the upsell timing experiment