# Riemann Computing Targeting the Public Sector | Riemann Computing

- Canonical URL: https://wefunder.com/feed/442254
- Entity ID: wefunder:feed_item:442254
- Published at: 2026-10-30 16:16:35 UTC
- Updated at: 2026-11-01 00:12:07 UTC

## Author
Andrew Magdy Kamal

## Subject
Riemann Computing

## Content
Next week, I, the founder of Riemann Computing will be going to the D2I Conference to talk about how Riemann Computing can help out various different industries in the public sector. With all that is going on regarding encryption, silent signals, and data storage costs, compression is the key that fits many government needs. On top of that, many legacy systems can benefit from being integrated or recoded with LonScript. Riemann Computing's recent demo that shows how AI can be trained for much less compute utilizing NTK, the "My Name is Riemann" Prerelease achieved over 5000 downloads through Hugging Face and Kaggle within almost a week's period. We talked about the small climb in this article on how we trained an AI for up to a 13B parameterization size on a low budget. It is worth noting that the NTK Trainer that we have, reached over 6000 downloads on Kaggle previously, showing significant interest from the developer community on Riemann Computing's recent research. With cost effecting AI training, compression and a programming language that could tie everything together, Riemann Computing has been continuously working on proving our systems could horizontally scale as an ecosystem. Data compression could be key to massively disrupting many industries that are trending today. If you can process much more data for much less of a carbon footprint, this would be good for the environment. We aren't just aiming to do better math, but we want to be sustainable for the environment. Now heading off to a Q&A... Stay tuned!As always, none of this is investment or financial advice. Please do your own due diligence and research.