How can fusionbrain-lab help with applied AI?

We run R&D and rapid experiments and deliver production AI systems: from metrics definition to observability and quality control.

What areas do you work in?

NLP, Computer Vision, recommender systems, forecasting and optimization. We choose trade-offs for latency/cost/quality.

1–2 calls to define goals and success metrics, then an experiment plan and a fast MVP. Next — production rollout.

Architectural insights

Study of new neural architectures and optimization methods for next-generation artificial intelligence systems.

Multimodality

Developing models that seamlessly understand and generate data across various modalities.

Robotics

Combining AI perception with physical actions through embedded intelligent systems.

Generative Design

Applying generative algorithms to solve complex design challenges across various industries.

Controllable GenAI

Creating generative models with precise control over content, style, and attributes.

Video GenAI

Pioneering technologies for high-quality video generation and temporal modeling.

GigaEvo

Algorithm that uses large language models (LLMs) for automatic program improvement through iterative mutation and selection

LLM Microscope

Research on the hidden role of punctuation in the contextual memory of transformers

Sonar-LLM

Autoregressive transformer that thinks in sentence vector representations and speaks in tokens