Generative AI

Share knowledge, spark ideas, refine solutions.

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Why Choose Us?

Tailored solutions,
not one-size-fits-all.

We're not just your tech team — we're your thought partner. Every collaboration begins with deep understanding, followed by sharp execution.

Custom Models

Leaders in Gen AI

Generative AI

We’ve been mastering generative AI since 2019, with a deep understanding of latent spaces, embeddings, and LLMs.

Supervised Design

Model Optimisation for Inference

Generative AI

Our expertise in optimising large model inference ensures faster, more efficient deployments.

Cross-Disciplinary

Explainable and Verifiable

Generative AI

We prioritise transparency with techniques like RAGs, making your AI solutions explainable and verifiable.

Scalable Solutions

Multi-GPU Optimisation

Generative AI

We fine-tune large models using TensorRT to maximise multi-GPU performance and efficiency.

Frictionless Onboarding

Ethical and Trustworthy

Generative AI

We ensure compliance with regulations while mitigating bias to create fair and ethical AI systems.

Multi-GPU Optimisation

Reduced Onboarding Costs

Generative AI

Our use of self-supervised techniques minimises onboarding costs and streamlines adoption.

Multi-GPU Optimisation

Intelligent Automation

Generative AI

We design agentic AI workflows, automating tasks and empowering dynamic, adaptive systems.

Multi-GPU Optimisation

Scalable Custom Solutions

Generative AI

Our company is proud to offer solutions that are designed for optimal scalability, ranging from data management to computational performance.

Multi-GPU Optimisation

Advanced Simulation

Generative AI

Our capabilities in simulation and prototyping accelerate testing and bring your ideas to life faster.

Area of Expertise

Automation with Agents
Relevancy Enhancement with RAG
Hyper-Personalisation
LLM Context Management
LLM Content Localisation
Physics-Based Simulation
Hybrid Search with FMs and RAG
Data Augmentation
Prompt Engineering
Fine-Tuning
Distillation
Quantisation
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Built Together

Collaboration That Powers Innovation

We are a team that brings unique expertise in Generative AI, making every step of the process enjoyable and collaborative. We don't just build powerful AI systems — we share our knowledge and refine solutions with you. Communication is at the core of our approach, and we are constantly seeking to optimise our processes to deliver results!

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expertise in Generative AI with a creative mindset

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open knowledge-sharing every step of the way

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continuous communication, real outcomes

Meet the Team Let's see
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Technology Stack

PyTorch Lighting
TorchScript
TensorFlow
LiteRT
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
Python
C++
R

Client Testimonials

Frequently Asked Questions

Is it better to train models from scratch or use ready-made ones?

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We investigate this matter while preparing the quote for your project, and the answer differs based on your unique use case and the need for novelty and customiseability in alignment with the available resources.

My data size is limited; is this a blocker for the project?

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In the initial discussion about your project, we request information about your data accompanied by a sample. We study the possible solutions adhering to your use case needs and the data type and quality. Some of the following techniques can be selected as a feasible solution and they are augmentation, transfer learning, few-shot learning, active learning, and regularisation.

How do you design Gen-AI applications in adherence to scalability issues?

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We explore different options based on the resource status, such as computational capabilities, hardware availability, and data growth. We customise the system architecture to achieve efficiency in model size and response and flexibility by deploying reusable components. We apply a hybrid of edge and cloud computing solutions based on the latency and processing requirements. To foster data growth, we automate the data curation and generation with optimal timing. We ensure amenable implementation by building active checkpoints for testing and feedback in both the development and production stages.

What type of data can you handle?

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We have experience handling tabular as structured or time-series in machine learning projects, textual for NLP and LLM employment, audio for speech recognition, images for Computer Vision and Generative applications, videos for object recognition and tracking, and a combined version of two or more of these types across multiple domains for multimodal advanced applications.

Case Studies

Case Study: CloudRF  Signal Propagation and Tower Optimisation

Case Study: CloudRF  Signal Propagation and Tower Optimisation

15/05/2025

See how TechnoLynx helped CloudRF speed up signal propagation and tower placement simulations with GPU acceleration, custom algorithms, and cross-platform support. Faster, smarter radio frequency planning made simple.

Case-Study: Text-to-Speech Inference Optimisation on Edge (Under NDA)

Case-Study: Text-to-Speech Inference Optimisation on Edge (Under NDA)

12/03/2024

See how our team applied a case study approach to build a real-time Kazakh text-to-speech solution using ONNX, deep learning, and different optimisation methods.

Case-Study: V-Nova - GPU Porting from OpenCL to Metal

Case-Study: V-Nova - GPU Porting from OpenCL to Metal

15/12/2023

Case study on moving a GPU application from OpenCL to Metal for our client V-Nova. Boosts performance, adds support for real-time apps, VR, and machine learning on Apple M1/M2 chips.

Case-Study: Generative AI for Stock Market Prediction

Case-Study: Generative AI for Stock Market Prediction

6/06/2023

Case study on using Generative AI for stock market prediction. Combines sentiment analysis, natural language processing, and large language models to identify trading opportunities in real time.

Case-Study: Performance Modelling of AI Inference on GPUs

Case-Study: Performance Modelling of AI Inference on GPUs

15/05/2023

Learn how TechnoLynx helps reduce inference costs for trained neural networks and real-time applications including natural language processing, video games, and large language models.

Case Study: Multi-Target Multi-Camera Tracking

Case Study: Multi-Target Multi-Camera Tracking

10/02/2023

Learn how TechnoLynx built a cost-efficient, AI-powered multi-target tracking system using existing CCTV infrastructure. Real-time object tracking across non-overlapping cameras using global and local IDs.

Case-Study: Action Recognition for Security (Under NDA)

Case-Study: Action Recognition for Security (Under NDA)

11/01/2023

See how TechnoLynx used AI-powered action recognition to improve video analysis and automate complex tasks. Learn how smart solutions can boost efficiency and accuracy in real-world applications.

Consulting: AI for Personal Training Case Study - Kineon

Consulting: AI for Personal Training Case Study - Kineon

2/11/2022

TechnoLynx partnered with Kineon to design an AI-powered personal training concept, combining biosensors, machine learning, and personalised workouts to support fitness goals and personal training certification paths.

Case-Study: A Generative Approach to Anomaly Detection (Under NDA)

Case-Study: A Generative Approach to Anomaly Detection (Under NDA)

22/05/2022

See how we successfully compeleted this project using Anomaly Detection!

Case Study: Accelerating Cryptocurrency Mining (Under NDA)

Case Study: Accelerating Cryptocurrency Mining (Under NDA)

29/12/2020

Our client had a vision to analyse and engage with the most disruptive ideas in the crypto-currency domain. Read more to see our solution for this mission!

Case Study - AI-Generated Dental Simulation

Case Study - AI-Generated Dental Simulation

10/11/2020

Our client, Tasty Tech, was an organically growing start-up with a first-generation product in the dental space, and their product-market fit was validated. Read more.

Case Study - Fraud Detector Audit (Under NDA)

Case Study - Fraud Detector Audit (Under NDA)

17/09/2020

Discover how a robust fraud detection system combines traditional methods with advanced machine learning to detect various forms of fraud!

Case-Study: V-Nova - Metal-Based Pixel Processing for Video Decoder

Case Study - Accelerating Physics -Simulation Using GPUs (Under NDA)

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