Mission Critical Decisions Real-Time
Racing
TrackSwift - Recognised by teams and our Partners around the world.
In the high-stakes world of Motorsports, every second counts, and every decision can mean the difference between victory and defeat. Personar proudly presents TrackSwift, an innovative AI-powered Speech-To-Text and Catagorisation solution designed to provide teams with real-time insights, aiding in critical split-second decision-making that can help motorsports teams around the world advance through the field.
TrackSwift employs state-of-the-art AI technology and a unique Speech-to-Text engine to analyze and categorize thousands of messages in real-time. Its comprehensive dashboard presents critical information that can provide your team with a decisive advantage, transforming a chaotic flow of communications into strategic insights.
Our unique STT (Speech To Text) engine can work for many Sports from F1 to Football and is a perfect fit for TV Broadcast and Radio, as well as Fan Engagement.
TrackSwift
TrackSwift bridges the gap between human communication and digital action in real-time. This AI-powered platform intercepts radio transmissions, voice communications, and audio streams as they happen, instantly converting spoken words into structured data that systems can act upon.
When radio chatter flows through TrackSwift, the platform doesn't just transcribe—it understands context, intent, and urgency. TrackSwift takes the raw, unstructured world of human speech and makes it instantly actionable for computer systems. Then, when those systems generate insights, decisions, or alerts, race strategy to officials can act on crucial decisons real-time.
Communicate with TrackSwift
The flexible and dynamic nature of the platform allows it to quickly be deployed to power a wide variety of use cases. All of the data models, workflows and AI/ML capabilities can be quickly configured to meet almost any requirements and can be adjusted quickly and easily allowing teams to make instant decisions.
Real-Time Decisions
