FloydHub

Bucket Robotics builds deployable computer vision systems for manufacturing — without labeling, long pilots, or fragile rules. We turn CAD and sample data into production-ready vision models that run on existing cameras and edge hardware. No manual labeling. No cold-start problem. Models deploy in minutes and adapt as parts, defects, and lines change. Our roots are in self-driving cars (Argo AI, Uber ATG, Stack AV), where we learned how to ship perception systems that operators trust in messy, r

shared extracted concept terms: model; shared product terms: deploy, model, start, problem; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Model Playgrounds (all in one ML project pipelines) are our core offering. Use them to instantly deploy ML models, continuously improve them in collaboration with your team, and get rich model architecture analytics. We are also rapidly growing the largest database of reusable ML models in the world. Our platform further offers ML model reproducibility and a large repository of reusable code. And our users can also build a LinkedIn like data science portfolio page along the way. All-in-one machine learning project pipeline that improves models and deploys instantly.

shared extracted concept terms: model; shared product terms: deploy, model, project, core; shared product theme: developer infrastructure; same category: AI infrastructure

HealthSpark empowers physical therapists (PTs) to start, run, and grow their own independent practices. Our AI-native “business-in-a-box” takes care of the administrative work—credentialing, insurance billing, patient onboarding, documentation, and scheduling—so PTs can focus on patient care, not paperwork.

shared product terms: start, take, care, so; shared product theme: health and clinical care; same category: AI infrastructure; shared affiliation: Y Combinator

Tesora builds frontier AI agents for actuaries at P&C carriers, reinsurers, and MGAs. The agents handle the assembly, pulling the data, running the method, and deploying the rater, while you review the work and make every call. We deploy inside the stack you already run, on your infra and under your IT team's control, with no shared servers and nothing to rip out. Your data never trains our models, or anyone else's. We treat this as a partnership so we stay hands-on until the work is live and ho

shared product terms: train, deploy, model, runn; shared product theme: developer infrastructure; shared affiliation: Y Combinator

Plexe builds predictive ML models from a problem description. It connects to data sources, conducts experiments, evaluates and deploys the models to an API endpoint.

shared extracted concept terms: model; shared product terms: deploy, model, problem; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Novel AI hardware and developer platform, built from first principles to let companies train, fine-tune, and deploy frontier models with orders of magnitude better performance than incumbents

shared extracted concept terms: model; shared product terms: train, deploy, model; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator