When you call a collision shop using BetterX, the AI voice agent answers in milliseconds and responds to your questions with human-like speed and accuracy. Behind this seamless experience lies some of the most advanced AI infrastructure in the world: AWS Inferentia2 chips.
Let's explore the technology that makes BetterX the fastest, most reliable AI voice solution in the collision repair industry.
What is AWS Inferentia2?
AWS Inferentia2 is Amazon's second-generation custom machine learning chip, specifically designed for running AI inference workloads at scale. Released in 2023, these chips deliver up to 4x higher throughput and 10x lower latency compared to the previous generation.
For BetterX customers, this translates to:
- Instant call answering with zero lag
- Natural conversation flow without awkward pauses
- Complex query handling in real-time
- Simultaneous handling of hundreds of calls without performance degradation
Why Custom AI Chips Matter
Traditional CPUs and even GPUs weren't designed specifically for AI workloads. They're general-purpose processors trying to handle specialized tasks. This is like using a pickup truck for Formula 1 racing—it might work, but it's not optimal.
Inferentia2 chips are purpose-built for one thing: running AI models at incredible speed with maximum efficiency. The architecture is optimized for the matrix multiplication operations that power neural networks, resulting in dramatically faster processing times.
The BetterX Architecture
Our AI voice agent stack leverages multiple AWS services working in concert:
1. Voice Input Processing
When a customer calls, their voice is immediately captured and streamed to our system. AWS Transcribe, powered by Inferentia2, converts speech to text in real-time with industry-leading accuracy.
2. Natural Language Understanding
The transcribed text flows into our custom-trained language model running on Inferentia2 instances. This model understands context, intent, sentiment, and urgency—determining the best response in milliseconds.
3. Response Generation
Based on the understanding phase, our AI generates an appropriate response. This isn't template-based scripting—it's genuine language generation that adapts to each unique conversation.
4. Voice Synthesis
The text response is converted back to natural-sounding speech using AWS Polly neural voices, creating the human-like quality customers expect.
This entire cycle—from voice input to response output—completes in under 500 milliseconds. That's faster than most humans can process and respond to a question.
Performance at Scale
The true test of any AI system is how it performs under load. During peak hours—typically Monday mornings and Friday afternoons in the collision repair industry—our system handles thousands of concurrent calls across all customer shops without any performance degradation.
Reliability and Redundancy
Speed matters, but reliability is equally critical. A missed call due to system failure is a lost customer. That's why BetterX is built on AWS's highly available infrastructure:
- Multi-Region Deployment: Our services run in multiple AWS regions simultaneously
- Automatic Failover: If one instance experiences issues, traffic automatically routes to healthy instances
- 99.99% Uptime SLA: Less than 1 hour of downtime per year
The Future
AWS is already working on the next generation of Inferentia chips. As these technologies evolve, BetterX customers will automatically benefit from improved performance, lower costs, and new capabilities—all without any changes to their setup.