Fundamental provides NEXUS, a large tabular AI model pre‑trained on billions of tables, enabling enterprises to predict outcomes directly from any relational data with a single line of code.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle to extract predictive insights from massive relational datasets because traditional machine‑learning pipelines require extensive feature engineering, custom model training, and secure handling of sensitive data. This results in long development cycles, high engineering costs, and limited scalability across different tables and industries.
Solution
Fundamental offers NEXUS, a large tabular AI model pre‑trained on billions of tables, enabling users to generate predictions directly from any relational data with a single line of code. The model can be deployed on‑premise or via a deep integration with Amazon SageMaker, leveraging confidential computing to keep data secure during inference. NEXUS abstracts away feature engineering and model selection, delivering out‑of‑the‑box performance that surpasses classic machine‑learning approaches across diverse domains. Users access the model through a simple API or SDK, allowing data scientists to quickly prototype, iterate, and scale predictive analytics without extensive infrastructure setup. Enterprise‑grade privacy controls and encryption ensure compliance while maintaining high prediction accuracy.
Target Audience
Primary customers are data science and analytics teams within enterprises that need fast, accurate predictive models on large relational databases, such as finance, retail, manufacturing, and healthcare organizations.
Features
- Pre‑trained large tabular model trained on billions of tables, capturing cross‑domain patterns
- One‑line code integration for instant prediction on any relational dataset
- Native deployment on AWS SageMaker with confidential computing for secure inference
- Out‑performs traditional ML methods on benchmark tasks across multiple industries
- API/SDK with built‑in data handling, eliminating manual feature engineering
- Enterprise‑grade security: encryption at rest and in transit, role‑based access controls