AIMdyn’s Generative Ai helps customers design optimal decision-making policies in real-time, using energy-efficient, unbiased computation.

AIMdyn’s Generative Ai helps customers design optimal decision-making policies in real-time, using energy-efficient, unbiased computation.

Develop Foundational Models​

Capable of ingesting any type of time-stamped data, AIMdyn’s K-GAT (Koopman-based Generative Adaptively-Trained Transformer) technology forms the foundational model enabling prediction, anomaly detection AND optimal control.

Increase Digital Twinning Efficiency

K-GAT can take data from an existing Digital Twin of a dynamic process and imbue it with rapid prototyping ability, enabling orders of magnitude faster prediction and optimal control design.

Enable edge-computing based optimal control​

Cloud based service can have large latency and large computational requirements. K-GAT AI technology enables fast, lean computation.

ai model

Develop Foundational Models

Capable of ingesting any type of time-stamped data, AIMdyn’s K-GAT (Koopman-based Generative Adaptively-Trained Transformer) technology forms the foundational model enabling prediction, anomaly detection AND optimal control.

Increase Digital Twinning Efficiency

K-GAT can take data from an existing Digital Twin of a dynamic process and imbue it with rapid prototyping ability, enabling orders of magnitude faster prediction and optimal control design.

Enable Edge-Computing Based Optimal Control

Cloud based service can have large latency and large computational requirements. K-GAT AI technology enables fast, lean computation.

Serving some of the most advanced R&D customer base in the world:

DARPA


RAPID, ACCURATE, OPTIMAL GEN-Ai DECISION-MAKING SUPPORT AT SCALE

AIMdyn’s K-GAT technology utilizes the latest advances in 3rd-wave Ai originated by our co-founder Dr. Igor Mezic. As opposed to massive computational expense and latency of 2nd wave Generative Ai models, K-GAT enables lean computation at largest data scales.

While it is designed to operate completely autonomously, it can take into account the context provided by humans, and adapts to changes in environment in real time.

Developed for applications such as supply chain optimization in epidemics, and network security, it is a general generative
Ai methodology for forecasting, anomaly detection and optimal decision making support.