Generative AI

Share knowledge, spark ideas,
refine solutions.

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2019
Founded in
95%+
Client Satisfaction Rate
20+
Successful Projects Delivered

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
Team image

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
C++
R

Client Testimonials

Frequently Asked Questions

Should I train Generative AI from scratch or use pre-trained models?

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The choice depends on your specific balance of novelty, cost, and data privacy. TechnoLynx helps you navigate this decision:

  • Pre-trained Models (Fine-Tuning): Best for speed-to-market and cost efficiency when leveraging existing knowledge bases.
  • Training from Scratch: Essential when you require absolute novelty, domain-specific architecture, or strict data sovereignty.

Is limited data a blocker for Generative AI projects?

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No, limited data is rarely a blocker. TechnoLynx employs advanced techniques to overcome data scarcity and build robust models, including:

  • Data Augmentation & Synthesis: Generating synthetic data to expand your dataset.
  • Transfer Learning: Leveraging knowledge from related tasks.
  • Few-Shot Learning: Training models to recognize patterns with minimal examples.

How does TechnoLynx design scalable Generative AI applications?

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We build scalability into the architecture from day one using a hybrid approach:

  • Hybrid Compute: Balancing Edge and Cloud processing to optimize latency and cost.
  • Modular Design: Using reusable components to allow flexible model swapping.
  • Automated Pipelines: Implementing active checkpoints and automated data curation to ensure the system grows with your user base.

What data types does TechnoLynx handle for AI projects?

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TechnoLynx specializes in multimodal Generative AI, handling diverse data types including:

  • Text (NLP): For Large Language Models (LLMs) and chatbots.
  • Computer Vision: Images and Video for generation, tracking, and object recognition.
  • Audio: Speech recognition and synthesis.
  • Structured Data: Tabular and time-series data for predictive analytics.

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.

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

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

15/12/2022

TechnoLynx improved V-Nova’s video decoder with GPU-based pixel processing, Metal shaders, and efficient image handling for high-quality colour images across Apple devices.

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 - Embedded Video Coding on GPU (Under NDA)

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

Related Posts

Validation‑Ready AI for GxP Operations in Pharma

Validation‑Ready AI for GxP Operations in Pharma

19/09/2025

Make AI systems validation‑ready across GxP. GMP, GCP and GLP. Build secure, audit‑ready workflows for data integrity, manufacturing and clinical trials.

Edge Imaging for Reliable Cell and Gene Therapy

Edge Imaging for Reliable Cell and Gene Therapy

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Edge imaging transforms cell & gene therapy manufacturing with real‑time monitoring, risk‑based control and Annex 1 compliance for safer, faster production.

AI Visual Inspection for Sterile Injectables

AI Visual Inspection for Sterile Injectables

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Improve quality and safety in sterile injectable manufacturing with AI‑driven visual inspection, real‑time control and cost‑effective compliance.

Predicting Clinical Trial Risks with AI in Real Time

Predicting Clinical Trial Risks with AI in Real Time

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AI helps pharma teams predict clinical trial risks, side effects, and deviations in real time, improving decisions and protecting human subjects.

Generative AI in Pharma: Compliance and Innovation

Generative AI in Pharma: Compliance and Innovation

1/09/2025

Generative AI transforms pharma by streamlining compliance, drug discovery, and documentation with AI models, GANs, and synthetic training data for safer innovation.

AI for Pharma Compliance: Smarter Quality, Safer Trials

AI for Pharma Compliance: Smarter Quality, Safer Trials

27/08/2025

AI helps pharma teams improve compliance, reduce risk, and manage quality in clinical trials and manufacturing with real-time insights.

Markov Chains in Generative AI Explained

Markov Chains in Generative AI Explained

31/03/2025

Discover how Markov chains power Generative AI models, from text generation to computer vision and AR/VR/XR. Explore real-world applications!

Optimising LLMOps: Improvement Beyond Limits!

Optimising LLMOps: Improvement Beyond Limits!

2/01/2025

LLMOps optimisation: profiling throughput and latency bottlenecks in LLM serving systems and the infrastructure decisions that determine sustainable performance under load.

Exploring Diffusion Networks

Exploring Diffusion Networks

10/06/2024

Diffusion networks explained: the forward noising process, the learned reverse pass, and how these models are trained and used for image generation.

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.

Generating New Faces

Generating New Faces

6/10/2023

With the hype of generative AI, all of us had the urge to build a generative AI application or even needed to integrate it into a web application.

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.

Generative models in drug discovery

26/04/2023

Traditionally, drug discovery is a slow and expensive process that involves trial and error experimentation.

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