Monetise the 5G Edge
Collaborate
Reach out
Industry Landscape
The future of telecommunications
The future of telecommunications is intelligent. TechnoLynx offers a high-quality AI and video analytics platform. It goes beyond network KPIs to improve user experience. The platform ensures smooth critical communications and helps create new revenue streams at the 5G edge.
The problem
Unprecedented data
Telecom operators face a dual challenge: managing unprecedented data volumes across complex networks while striving to deliver a flawless user experience. Within the telecommunications industry, traditional network metrics often fail to capture perceived quality, leading to customer churn.
Meanwhile, the need for ultra-reliable critical communications is non-negotiable, and the race to monetise investments in 5G and edge computing requires new, scalable enterprise solutions that this industry is currently not equipped to offer on its own.
Why Choose Us?
Our Promise
Enterprises expect measurable outcomes. Our modules deliver human‑perceived quality metrics and low‑latency pipelines, accelerating pilots into offer‑ised services operators can market.
Perceptual QoE
Telecommunication
Fuse network telemetry with perceptual quality models for video and gaming, prioritising actions that move SLAs and NPS.
Edge CV
Telecommunication
Portable computer‑vision kernels and adaptive streaming meet tough latency and bandwidth targets for industrial video and XR.
Governed Scale
Telecommunication
Consistent policy and rollout automation across heterogeneous edge nodes allow operators to scale services safely.
Areas of Expertise
Perceptual QoE analytics for video/gaming
Edge computer vision services
XR adaptive streaming at MEC
Speech-to-text for critical comms
Multi-tenant edge governance
Partner Proposition
Experience platforms, portable modules
We turn networks into experience platforms: perceptual QoE, edge CV, and XR pipelines that hit latency/energy targets. Portable modules fuse telemetry with AI, improving SLAs and reducing churn—ready to productise and price.
Our technological capabilities
are centred around three core pillars:
Computer Vision Services
Transform your processes with advanced visual recognition and analysis. Our services include skills in classical computer vision. We design systems with human supervision for legal compliance.
We optimise video pipelines using tools like FFmpeg. We create custom models that can adapt. We also provide explainable AI for ethical transparency.
Generative AI
We are leaders in generative AI. We provide faster deployments with optimised inference. Our systems focus on ethical AI and reducing bias.
We also offer intelligent automation for flexible workflows. Additionally, we have advanced simulation and prototyping tools.
GPU Acceleration
We deliver immersive XR solutions with cross-platform development (Unity 6), GPU performance optimisation, and expertise in NVIDIA Omniverse and CloudXR. We also use reinforcement learning for intelligent XR environments.
Technology Stack
PyTorch
TorchScript
TensorFlow
LiteRT
TensorRT
Face Recognition
ONNX
OpenCV
YOLO
Python
NumPy
SciPy
Numba
C
C++
CUDA
Unity
Unreal Engine
OpenXR
ARKit
ARCore
Vuforia
DeepAR
A Frame
WebXR
OpenCL
Vulkan
DirectX 12
Metal
WebGL
WebGPU
SteamVR SDK
Oculus SDK
Wave SDK
CloudXR
NVIDIA Omniverse
NVIDIA PhysX
PyTorch Lighting
TF-GAN
LangChain
LangGraph
LangSmith
LlamaIndex
W&B Weave
Hugging Face Transformers
LibFewShot
PandaAI
RagFlow
GraphRAG
JAX
Solo-learn
VFormer
Vertex AI Agent Builder
Vertex AI Search
AWS Bedrock
NVIDIA AI Foundry
NVIDIA NeMO
R
Client Testimonials
←
TechnoLynx delivered the project on time and provided quality outputs that met the client's expectations. The team was proactive in providing ideas and suggestions, and they were careful at properly planning the tasks. The client also praised the team's expertise in GPU programming and AI.
TechnoLynx's skill in low-level software development was impressive. TechnoLynx was able to create four prototypes with common components and an interface for easy maintenance. The client was extremely happy with the solution's speed. Moreover, their communication was seamless and straightforward.
TechnoLynx's unique aspect is that they're able to transform complex theories into practicable and applicable results. TechnoLynx provides research reports and architecture planning documents. The team is able to transform complex theories into practicable and applicable results. TechnoLynx's project management is strong and delivers work on time without hardware issues, being responsive through virtual meetings.
I’m delighted with our collaboration with their team. Thanks to TechnoLynx's work, the client has been able to co-author two patents. They lead responsive project management to solve problems quickly. The team also praises their skilled and knowledgeable team.
We had high-efficiency meetings TechnoLynx’s work resulted in a successful breakthrough, and their input improved the client’s app. Their flexible and organised project management cultivated a healthy collaboration experience. Ultimately, their professionalism and commitment were impressive.
→
Frequently Asked Questions
How does your QoE monitoring solution work without accessing content?
Our perceptual QoE analysis works by examining stream metadata and heuristics. Our expertise in video pipeline optimisation allows us to analyse patterns indicating quality degradation without processing the visual content itself, ensuring performance and privacy.
Can your speech-to-text service operate in disconnected or low-bandwidth environments?
Yes. Our STT engine is built on our expertise in optimised inference for generative AI, allowing it to be deployed at the edge or on-device for effective operation in challenging network conditions.
How do you help us manage multi-vendor hardware at the edge?
Our edge platform acts as an abstraction layer, providing a standardised environment for deploying AI applications. Our ability to create custom, adaptable models makes our platform hardware-agnostic, enabling consistent governance across diverse edge nodes.
