Neodocs

ML models are only as good as the datasets they're trained on, and that means that most improvement to model performance comes from improvement to the quality and diversity of their datasets. Our tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.

shared extracted concept terms: ml, model; shared product terms: ml, model, re, performance; same category: AI infrastructure; shared affiliation: Y Combinator

Terascore is developing an educational tool for teachers to create, administer, and manage tests entirely online. Scores and results are available immediately and teachers get instant analytics on question quality, difficulty, student performance. Any questions created can be stored in a question bank for reuse. Terascore aims to move all tests online and in doing so make learning more effective and teachers more efficient. The results are shortening the feedback loop for learning and are better

shared extracted concept terms: bank; shared product terms: instant, test, better, performance; shared product theme: finance and payments; same category: AI infrastructure; shared affiliation: Y Combinator

Flower Labs is the world-class AI startup behind Flower, the most popular open-source framework and ecosystem in the world for training AI on distributed data and compute resources using federated learning. Trusted by industry leaders such as Mozilla, Banking Circle, Samsung, Temenos and Bosch, Flower empowers organizations to improve their AI models on sensitive data that remains securely distributed across organizational silos or user devices. In a world where most AI relies on centralized pub

shared extracted concept terms: bank, model; shared product terms: bank, improve, model, device; shared product theme: finance and payments; same category: AI infrastructure; shared affiliation: Y Combinator

Mecha Health builds foundation models to automate x-ray analysis for radiologists. We take medical images and process them using proprietary models to produce accurate draft medical reports. Our first model was built in less than two months, and beat Microsoft, Google, and OpenAI on clinical accuracy metrics. On top of that, it’s two orders of magnitude smaller and trained with a quarter of the data. We are partnering with the largest privately owned radiology practice in the US and a multinatio

shared extracted concept terms: model; shared product terms: health, model, take, medical; shared product theme: health and clinical care; same category: AI infrastructure; shared affiliation: Y Combinator

AI that empowers us to be proactive about our health.

shared extracted concept terms: us; shared product terms: us, health; shared product theme: health and clinical care; same category: AI infrastructure

We’re launching a small hardware device: a button that you clip to your shirt. You press it to talk to AI, and it responds instantly.

shared product terms: re, device, instantly; same category: AI infrastructure; shared affiliation: Y Combinator