5G Today to 6G Tomorrow
Our expertise in IP Protocol Stack, GSMA 5G Systems, RAN, VPP, DPDK, Routing, Neural networks, machine learning, K8S helped us to build very scalable, reliable and resilient solutions.
Foundation for innovation, bridging today’s 5G to tomorrow’s 6G possibilities
Our 5G Core-in-a-Box and ORAN (CU-DU-in-a-Box) provide a complete, deployable 5G Standalone ecosystem, validated through integration with RAN (Mini Radio Unit), ORAN, User Plane Function (UPF), and the full 5G Core stack (AMF, SMF, PCF, UDM, NRF, SCP, AUSF, NSSF), along with commercial Samsung & MI devices using OpenSIM and support for 10,000+ UEs. The platform enables real-time 10–25 Gbps throughput optimization, latency benchmarking, and multi-slice orchestration.
A Singapore-based Telecom company and an India-based Deep Tech company are using this platform for Future Communication use-cases, helping bridge commercial readiness with research flexibility.
💡 Ideal For:
- Enterprises building 5G-enabled applications (Industrial IoT, AR/VR, robotics, edge AI).
- Telecom operators & OEMs testing interoperability and Private 5G deployments.
- Research Labs exploring R&D-grade environment for building low-latency edge computing.
- Building next-generation 6G frameworks, including AI-driven network control, adaptive spectrum management, and autonomous service assurance.
- Government & Defense evaluating secure, sovereign, field-deployable 5G systems.
Engagement
We offer architecture walk-through and demo sessions of
Live Video Latency Tests using Samsung/MI UEs with our
5G Core-in-a-Box and 5G CU-DU-in-a-Box (ORAN) featuring a
mini-RU setup.
Like to have it?
Please email
connectus@tranzsilica.com
or
marketing@tranzsilica.com
.
Software-Defined to Self-Defined, Networks that Learn, Adapt, and Heal Themselves.
Our IP is transforming how data networks are managed at scale. Powered by AI-driven analytics and adaptive automation, it continuously detects anomalies in real time and heals issues before they impact users.
This applies to PNF, VNF, and CNF-based network components running across telecom backbones, enterprise networks, and cloud infrastructures, ensuring the delivery of reliable, always-on services.
An USA-based Technology company, a Singapore-based Telecom company, and India-based Private Sector companies are using this platform for managing their delivery networks.
💡 Key Capabilities:
- Continuously learns, adapts, and repairs network behavior (traffic patterns, latency hotspots, bandwidth trends).
- Predicts and prevents failures before they affect performance.
- Self-learning, adaptive, and self-repairing mechanism enhances SDN with AI-driven intelligence.
- Applies to PNF, VNF, and CNF-based network components across diverse infrastructures.
Engagement
Would a quick 10-minute technical discussion help evaluate potential alignment with your ongoing roadmap?
Please email
connectus@tranzsilica.com
or
marketing@tranzsilica.com.
High-Performance, Low-Latency Data Plane Foundation
With deep expertise in Vector Packet Processing (VPP) and the Data Plane Development Kit (DPDK), we deliver a high-performance data plane that powers the future of connectivity.
Our solutions enable ultra-high throughput, microsecond-level latency, and scalable efficiency, making them ideal for edge computing platforms and emerging 6G research.
Whether you’re an operator optimizing your network, a developer building latency-sensitive 5G applications, or a research team exploring next-generation architectures, our VPP + DPDK-powered framework ensures unmatched speed, reliability, and programmability— pushing the boundaries of what’s possible in high-performance networking.
Why need us:
- Require ultra-low latency and high throughput to handle growing data volumes.
- Seek CPU-efficient packet processing for cost-effective scaling.
- Aim to enhance network reliability, programmability, and service agility.
Developers and enterprises building real-time and data-intensive applications—such as AR/VR, IoT, connected vehicles, industrial automation, video analytics, and cloud gaming could apply the concept.