AI for Pharma & Biotech

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DNA

Industry Landscape

Precision, speed, data integrity

From GMP-compliant manufacturing to genomic interpretation, the life sciences sector demands precision, speed, and unwavering data integrity. TechnoLynx provides AI solutions that automate inspections and standardise analysis. These tools reveal insights to help you bring breakthroughs to market faster and safer. This ultimately improves the quality of life for people everywhere.

The problem

Raisig costs, slow batch release

The Biotech and Pharmaceutical industry operates under immense pressure. Stricter regulations, such as EU GMP Annex 1, demand robust Contamination Control Strategies (CCS) and flawless data integrity. In research and development, digital pathology and high-content screening face challenges that create delays. The complexity of genomic data can also slow down diagnoses.

Manual processes and broken systems can cause errors. They slow down batch release and increase the cost of innovation in modern biotechnology. This industry has seen rapid acceleration, particularly since the COVID-19 pandemic, highlighting the need for efficient and reliable technological partners.

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Microscope

Why Choose Us?

Our Promise

Annex 1 elevates contamination control expectations. On‑prem/edge AI with auditability and data minimisation enables safer automation and faster insight.

Classical Vision

Cleanroom CV

Life Sciences

On‑prem PPE/behaviour checks with live de‑identification and signed events support Annex 1 CCS documentation.

Explainability

PD Early‑Warning

Life Sciences

Predict imminent protocol deviations and align explainable risk alerts with QTLs/KRIs and Part 11 workflows.

Cross-Disciplinary

CGT Imaging

Life Sciences

Edge analysis of inline microscopy provides label‑free insight into cell health and contamination risks

Areas of Expertise

Cleanroom CV & Annex 1 compliance
Protocol-deviation early warning (RBQM)
CGT in-process imaging at the edge
GxP data pipelines & validation (CSV)
MES/EBR/SCADA integration
Relevant image

Partner Proposition

Clarity, efficiency and compliance

We deliver explainable, privacy-first analytics that fit GxP: cleanroom monitoring, PD prediction, and edge imaging integrated with MES/EBR. On-prem by default, auditable by design, and validated to Part 11 expectations.

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On-prem by default

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Auditable by design

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Validated to Part 11 expectations

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Our technological capabilities
are centred around three core pillars:

Computer Vision Services

Transform your processes with advanced visual recognition and analysis. Our services feature expertise in classical computer vision, human-supervised system design for legal compliance, video pipeline optimisation with tools like FFmpeg, custom adaptable models, and explainable AI for ethical transparency.

Generative AI

We are leaders in generative AI, offering optimised inference for faster deployments, ethical AI systems with bias mitigation, intelligent automation for adaptive workflows, and advanced simulation and prototyping capabilities.

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

Frequently Asked Questions

How can your system be validated for use in a GxP environment?

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We develop our solutions with a "validation-ready" mindset. We offer complete documentation and support for IQ/OQ. Our focus on explainable AI ensures our systems meet strict data integrity and audit trail rules. Annex 11 and 21 CFR Part 11 provide these rules, and people recognise them in the United States and around the world.

How does your cleanroom monitoring respect employee privacy?

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We prioritise privacy by design, focusing on process compliance without biometric identification. We are skilled in designing systems that involve human supervision. This means we handle all data following strict GDPR and GMP rules for data integrity.

Can your AI models adapt to our specific assays and imaging hardware?

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Yes. Our custom models are adaptable to diverse platforms. We specialise in creating strong, adaptable models. We can adjust them to work best with your lab conditions and tools.

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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