Competitive sports simulation has evolved from recreation into hyper-technical competition where thousandths of a second dictate championship outcomes. Today, competitors spend exhaustive hours manually deciphering complex squiggly telemetry lines or paying steep retainer fees for human driver coaching.
We believe technology should dramatically reduce the time and effort required to master complex domains.
Previewing Our Next Big Application
Our team is preparing to launch our flagship autonomous simulation platform—an intelligent, real-time telemetry and race engineering co-pilot.
Core Capabilities
- Sub-Millisecond Telemetry Ingestion: Seamlessly ingest high-frequency telemetry data (throttle inputs, brake line pressure, suspension travel, tire surface temperatures, and yaw angles) from leading simulation environments.
- Autonomous AI Race Engineer: Built on physics-informed neural networks and large reasoning models, the co-pilot decodes telemetry against optimal racing lines and dynamic tire degradation models.
- Instant Actionable Guidance:
- Micro-braking references (e.g., "Carried 4% excess apex speed, compromising corner exit by 0.22s").
- Dynamic trail-braking pressure decay curves and balance modulation.
- Intelligent chassis and damper setup recommendations based on telemetry behavior.
Native Ecosystem Integration
Like every product across the Svish portfolio, this upcoming application is powered by our unified single-login architecture (app.svish.dev), real-time cross-app syncing, and included zero-trust security and observability.
Stay tuned for our upcoming private beta launch.