
Why Choose Us?
We're not just your tech team — we're your thought partner. Every collaboration begins with deep understanding, followed by sharp execution.
Leaders in Gen AI
Generative AI
We’ve been mastering generative AI since 2019, with a deep understanding of latent spaces, embeddings, and LLMs.
Model Optimisation for Inference
Generative AI
Our expertise in optimising large model inference ensures faster, more efficient deployments.
Explainable and Verifiable
Generative AI
We prioritise transparency with techniques like RAGs, making your AI solutions explainable and verifiable.
Multi-GPU Optimisation
Generative AI
We fine-tune large models using TensorRT to maximise multi-GPU performance and efficiency.
Ethical and Trustworthy
Generative AI
We ensure compliance with regulations while mitigating bias to create fair and ethical AI systems.
Reduced Onboarding Costs
Generative AI
Our use of self-supervised techniques minimises onboarding costs and streamlines adoption.
Intelligent Automation
Generative AI
We design agentic AI workflows, automating tasks and empowering dynamic, adaptive systems.
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.
Advanced Simulation
Generative AI
Our capabilities in simulation and prototyping accelerate testing and bring your ideas to life faster.
Built Together
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!
expertise in Generative AI with a creative mindset
open knowledge-sharing every step of the way
continuous communication, real outcomes
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.
Is it better to train models from scratch or use ready-made ones?
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?
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?
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?
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.