Plexe
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.
Y Combinator
yc-company-directory #373Plexe builds predictive ML models from a problem description. It connects to data sources, conducts experiments, evaluates and deploys the models to an API endpoint.
sourcePlexe is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Plexe
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Mystic
match 61Mystic’s platform allows companies to easily and reliably deploy ML models on our serverless cloud or on their own infrastructure without requiring a team of MLOps engineers. With our Python SDK, data-scientists immediately get an endpoint from their own model, or any open-source models. Once uploaded, our platform handles routing, multi-cloud scaling, caching, GPU optimization and other features to provide the ultimate ML inference platform.
shared extracted concept terms: ml, model; shared product terms: ml, model, deploy, endpoint; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
Model Share AI
match 52Model 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: ml, model; shared product terms: model, ml, deploy; shared product theme: developer infrastructure; same category: AI infrastructure
Preloop
match 48Only 2 out of 10 ML models make it from experiment to production. Preloop helps automate the process of deployment, helping companies realize more value from their machine learning teams, while focusing teams' attention on science instead of engineering.
shared extracted concept terms: ml, model; shared product terms: ml, model, experiment; same category: AI infrastructure; shared affiliation: Y Combinator
FloydHub
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shared extracted concept terms: model; shared product terms: deploy, model, problem; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
Mantis
match 40Mantis is a digital twin company that combines LLMs with high-fidelity physics simulations in order to convert rare and difficult-to-access human behavior data into predictive models.
shared extracted concept terms: predictive, model; shared product terms: predictive, model; same category: AI infrastructure; shared affiliation: Y Combinator
Julius
match 40Julius is an AI Data Scientist that can analyze and visualize massive datasets, perform complex analysis like forecasting and regression, and even train ML models
shared extracted concept terms: ml, model; shared product terms: ml, model; same category: AI infrastructure; shared affiliation: Y Combinator