Cutting Edge AI algorithms
We have targeted the main challenges with today's AI technology. Our solutions gives excellent outcomes.
Our software requires much less compute. Hence more cost (and hence energy) effective.
The training is based on Convex Optimization, which is well developed and very efficient.
Our algorithms find the optimal weights in training neural networks.
The high efficiency of our ML algorithms makes training of high quality AI (neural network) models on premises possible.
performance in numbers
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500 x Cost/ Energy Savings
500x less compute
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25 x Smaller Models
25x smaller models
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64 x Faster & cost efficient inference
64x more efficient inference
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∞ Easier ai model training
No hyper parameter tuning
use cases for busineses
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Cost efficient learning
Super cost (and energy) efficient algorithms for Deep Learning. Faster and more accurate than state of the art. Algorithms can be trained on edge to enhance 6G and IoT. The algorithms are based on Convex Optimization.
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Reasoning and XAI
Super efficient Reinforcement Learning algorithms, applied to LLMs and recommendation systems. Can be combined with GFLowNets to build efficient Reasoning and Explainable AI. Based on research.
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Chatbots
Novel combination of our algorithmsand recommendation system to fine-tune open source LLMs with private data to build personalized chatbots.
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On premises ai models
Data can be kept private, preserving clients’ data privacy. Training of complex AI models can be done on premises (no need of Federated Learning (FL)) or by using our super efficient FL over cloud.