Register for free to
view the full innovation profile.
Generative AI is a world changing tech but current models are bad at complex math. NEXUS is being powered by artificial swarm intelligence to achieve 100% complex math accuracy.
About
We are building a new type of foundation AI architecture based on Artificial Swarm Intelligence, and several proprietary algorithms. Called NEXUS, the system is designed to solve mathematical, analytical and optimization problems.
Generative Artificial Intelligence and Large Language Models (LLMs) are world changing technologies. However, this technology is limited to the human experience. The data sets are mined from the internet and from interactions with humans.
Also, generative models tend not to be particularly good at solving complex mathematical problems, which is a core functionality of NEXUS.
Finally, due to its unique architecture, we believe that NEXUS will be far more energy efficient when compared to generative LLMs.
Key Benefits
Our target clients include large and medium sized corporates who are running analytical systems, processing complex mathematical problems, utilizing large volumes of data for optimisation purposes, and designing complex structures such as proteins and peptides.
Due to the nature of their use cases, we propose that our potential clients will be relatively easy to identify on LinkedIn Sales Navigator and through general web searches. That said we do not underestimate how difficult it might be to sign clients on to our services. We will start building client relationships before NEXUS is launched. Through these relationships clients will help us to identify their needs, and how we can equip NEXUS to address those needs.
We are focused on establishing solid, profitable distribution channels as soon as possible.
Any new foundation AI is big news in the media. We fully expect that once NEXUS has triggered emergent complexity in a computational environment, the media will want to feature what we are doing. This will offer exceptional opportunities for PR, which in turn will attract new clients.
Applications
Clients requiring computational applications for complex mathematics.