There are many tech startup’s but the one that is bringing all the knowledge and work into one umbrella is Knowledge.ai Check them out.
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Observability
Observability is important for AI and AI tools. It is the ability to monitor them for token usage, response quality and model drift. Typically, an AI system is monitored through logs, traces and metrics but an AI system on AI agent may need other metrics. Troubleshooting a complex AI system that produces its output probabilistically…
Text from Image
Starting with a base image, it is possible to generate a description. An AI (Qwen-3-VL) simple description : This is a simple, hand-drawn black-and-white sketch of a person’s upper body. Here’s a breakdown of the key elements: Hair: Long, flowing hair depicted with two smooth, curved lines extending from the top of the head down…
Engaging website
There are many ways that websites show their landing pages. Usually there are a lot of graphics. The Harvard innovation lab does it wonderfully with their landing page for one of their challenges showing particles which are responsive to mouse movement. Very dynamic and very intriguing! https://innovationlabs.harvard.edu/presidents-innovation-challenge/finalists The developer’s console tells you a bit about…
Noetik – Data driven models
Came across an interesting company called Noetik.ai https://www.noetik.ai/ Their platform and models are using spatial biology data to develop AI models that could help in drug discovery. They have partnered with GSK to in Colorectal cancer and Non small cell lung cancer and GSK will license their OCTO models for their research. The image is…
Tools for critique of art – open source
Good publication to review material: CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements at https://arxiv.org/html/2502.04353v1 And the wonderful visualization to analyze the data over the years that was derived from WikiArt. https://cognartive.github.io Autocritic: an open-source system that uses classic art theory to evaluate images and steer generative systems. It distills historical…
Open source protein models
A company called Profluent (profluent.bio) has been developing protein models that can be used for designing new proteins (https://www.nature.com/articles/s41587-022-01618-2), modeling of new CRISPR-Cas sequences (https://www.nature.com/articles/s41586-025-09298-z) and developing LLM for protein generation (https://www.biorxiv.org/content/10.1101/2025.11.12.688125v1.article-info). What is amazing is that they have open sourced all their models and Profluent-E1 is available in GitHub to download and use. (https://github.com/Profluent-AI/E1)…
