Overview
We set out to solve a costly issue in outbound sales: most cold calls never connect. Instead of creating another dialer, we focused on the missing piece — a smart system that predicts which numbers are actually worth calling.
The Build
In just 2 weeks, our team built a functional MVP of OptimalDial. The system combined Twilio’s programmable voice capabilities with a proprietary AI algorithm that scored each contact by likelihood of answering. The backend, built in Python, handled ingestion and scoring of lead lists, while a React frontend provided a simple interface for users to upload files and get enriched results in seconds.
Scaling Up
Once we validated that OptimalDial improved connect rates, we scaled the system to handle larger datasets, refine classification logic, and support multiple users — all while keeping the process fast and user-friendly.
The Outcome
OptimalDial demonstrates how lean, focused development can deliver real impact quickly. From concept to working MVP in two weeks, and then scaling seamlessly, it showcases Raia Technologies’ ability to combine AI, telecom infrastructure, and modern web technologies into products that solve real business problems.
