Revolutionizing
Communication with
Scalable Technology
Owning our proprietary S1 Platform technology sets us apart.
BTS leverages open technologies where possible and engineers bespoke solutions when necessary.
The technology powering the S1 Platform redefines real-time communication (RTC), enabling seamless global connectivity and empowering businesses to thrive in a fast-paced digital landscape.
Why BTS Leads
the Industry
With the wholly owned S1 Platform, BTS delivers:
- Unmatched Control: Independence drives rapid innovation and precise customization.
- Global Flexibility: Deploy on-premises, in the cloud, or across BTS’ geo-redundant infrastructure.
- Managed Services: Focus on priorities while we handle business and application operations.
Scalable, Distributed
Architecture
Designed for high performance, our platform processes thousands of transactions per second (TPS) across globally distributed nodes. Key features include:
- Event-Driven Design: Asynchronous messaging ensures seamless communication between modular components, eliminating bottlenecks.
- Microservices Architecture: Functional isolation guarantees resilience, while containerized deployments enable automated scaling and updates.
- Geo-Distributed Infrastructure: Proximity-based routing, intelligent traffic steering, and robust failover minimize latency and enhance reliability.
High-Performance
Technology Stack
Our platform integrates advanced technologies to maintain real-time, low-latency operations.
- Stream Processing Frameworks: Power dynamic routing and analytics for immediate decision-making.
- In-Memory Caching: Delivers ultra-fast data synchronization across regions.
- Distributed Datastores: Strongly consistent systems ensure reliable transaction coordination at scale.
- API-First Design: Enables seamless integration with modern, cloud-native ecosystems.
Real-Time Optimization
and AI Integration
Our platform goes beyond traditional RTC by incorporating AI-driven capabilities.
- Dynamic Routing: Real-time decision-making for optimized data flow.
- Quality Assurance: Inline processing to monitor and enhance KPIs like latency and throughput.
- AI-Powered Insights: Embedded machine learning supports predictive maintenance and anomaly detection.