Startups building their own models

Enolink is a startup that is involved in building their own models, as evidenced by their development of the Enobase healthcare data science platform which includes AI/ML modeling tools and supports federated learning for secure data training and model validation.

Abacus.AI is a startup that specializes in building their own models, including generative AI, predictive applied AI systems, and custom LLMs tailored to specific business needs.

Kumo.ai is identified as a startup (named a Top AI Startup by Forbes) and is involved in building their own models (employs a declarative SQL-like Predictive Querying Language to build task-specific AI models rapidly and utilizes state-of-the-art Graph Neural Networks).

Hume AI is a startup that is involved in building their own models, as evidenced by their Custom Model API and extensive research in developing AI models of emotional expression.

Activeloop is a startup involved in building their own models. The company is a startup, as indicated by its small team size of 10 and its participation in the Y Combinator S18 batch. Additionally, Activeloop is involved in building their own models, as evidenced by their focus on creating, storing, versioning, and collaborating on multi-modal AI datasets, which are used to fine-tune large language models (LLMs).

Deepgram is a startup that builds its own models. It is a Y Combinator company (W16 batch), indicating its startup status. Additionally, Deepgram provides advanced speech AI transcription and understanding via an API and allows for the training of custom models for unique use cases, which confirms that it is involved in building its own models.

Zama is a startup that has raised $73M in Series A funding, indicating it is in the early stages of growth. Additionally, Zama is involved in building their own models, specifically through their Concrete ML framework, which is a privacy-preserving machine learning framework built on top of their own technology, Concrete.

Shuimu BioSciences is a startup founded in 2017 and is involved in building their own models, specifically through their development of modelSMART, a deep learning algorithm for atomic structure modeling.

Unify is a startup (Y-Combinator batch W23) and is involved in building their own models, as evidenced by their offerings such as 'The Model Hub' and 'Ivy' which provide a unified machine learning framework and optimized models for deployment.