Generative AI
We are a team that brings unique expertise in Generative AI, and we place great importance on making every step of the process enjoyable and collaborative. We don't just build powerful AI systems — we share our knowledge, brainstorm fresh ideas, 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!
Why Choose Us
Leaders in Generative AI
We’ve been mastering generative AI since 2019, with a deep understanding of latent spaces, embeddings, and LLMs.
Experts in Model Optimisation for Inference
Our expertise in optimising large model inference ensures faster, more efficient deployments.
Explainable and Verifiable AI
We prioritise transparency with techniques like RAGs, making your AI solutions explainable and verifiable.
Multi-GPU Optimisation for LLM Training
We fine-tune large models using TensorRT to maximise multi-GPU performance and efficiency.
Ethical and Trustworthy AI
We ensure compliance with regulations while mitigating bias to create fair and ethical AI systems.
Reduced Onboarding Costs
Our use of self-supervised techniques minimises onboarding costs and streamlines adoption.
Intelligent AI Automation
We design agentic AI workflows, automating tasks and empowering dynamic, adaptive systems.
Scalable Custom Solutions
Our company is proud to offer solutions that are designed for optimal scalability, ranging from data management to computational performance.
Advanced Simulation and Prototyping
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
FREQUENTLY ASKED QUESTIONS (FAQ)
Q: Is it better to train models from scratch or use ready-made ones?
A: 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.
We opt for training a model from scratch when the ready-made models are not sufficient for the use case, or we need to gain control over the model architecture to customise its output and properties, such as size and response. Yet, this requires large datasets, powerful computational power, and time. For these reasons, using ready-made models can be less data-consuming, cheaper, and faster.
Q: My data size is limited; is this a blocker for the project?
A: 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.
Q: How do you design Gen-AI applications in adherence to scalability issues?
A: 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.
Q: What type of data can you handle?
A: 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.
Technical Excellence
Founded in 2019 by Balázs Keszthelyi, co-inventor of more than a dozen patents and contributor to two international standards, we know how to beat the state-of-the-art.
Balázs’ passion for high quality and superior performance sets a high bar, generating value for our clients and growth for our employees.
Technologies
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
What We Do
We specialise in guiding clients through the entire research and development journey, from initial prototyping to seamless integration and even safeguarding intellectual property. As an innovative solutions center, we not only identify areas for workflow enhancement but also actively engage in crafting and implementing solutions.
