Award Winner
Rigorously Vetted by the US Advanced Research Projects Agency Energy for Data-Enabled Fustion Technology (DeFT)
Sapientαι : Your Innovative, Intuitive & Flexible ML/AI Solution Provider in Texas
As a Machine Learning and Artificial Intelligence Company, Sapientαι specializes in developing innovative solutions for high-tech applications using a large array of patented and state-of-the-art techniques.
Whatever your process historian or operational data system of record, Sapientαι can integrate rapidly through either a front-end GUI, custom API, and/or backend library.
Leaders in Time Series Prediction & Control
Accurate. Precise. Deep. Interpretable. Parsimonious.
Sapientαι offers world-class solutions to time series prediction and control problems, to help you:
- Develop and understand which features are predictive.
- Extract deep (yet simple) differential representations encoding these relationships.
- Provide visual and easily interpretable ways of analyzing and examining complex multimodal systems.
- Use these solutions to predict, anticipate, and control future system behavior.
Revolution in Artificial Intelligence
& Machine Learning
Sapientαι offers solutions that bridge the gap between variationally hand-crafted 20th century science models and automated 21st century predictive engines.
Our solutions make forecasting and extracting understanding from data frictionless, while preserving the physical interpretations and parsimonious underpinnings from “first principle’’ or “conventional” style assumptions.
Our solutions are easy-to-use, remarkably efficient, inexpensive, readily automated, and physically (or clinically, or analytically) interpretable, providing deep and abundant insight into the causal and correlative relationships that arise in all complex systems.
Sapientαι's ML/AI Solutions
Our solutions are designed to help organizations make the most of their data, by providing easy-to-use tools for searching, analyzing, and predicting the behavior of complex systems.
The Archαιeus Engine
Unique. Precise. Predictive. Deep.
The Ousαι Platform
Reliable. Secure. Flexible.
DeFT
Innovative. Collaborative. Adaptive.
SIR
System Identification & Regression
Unlock the Potential of Data: Unleashing Precision, Power, and Predictability with Sapientαι‘s SOTA System Identification & Regression (SIR) AI tool.
The Control Regressor
Predict. Pipeline. Hypertune.
The Prospector
Explore. Compare. Cluster.
A tool that allows clustering of multimodal data streams with customizable feature types to rapidly understand and compare complex data sets.
Why Sapientαι? Because it works!
Sapientαι’s tools provide breathtaking modern day augury by utilizing deep analytics in ways that will make you gasp.
Whether the data comes from measurements, sensors, simulation frameworks, augmentation methods, or multimodal collections of all of the above, Sapientαι offers cutting edge capabilities available for:
- Predicting
- Controling
- Understanding
- Analyzing
Simply put: our solutions work. All that is required from you is to try them.
One Platform to Illuminate Your Data and Create Real-World Impact
Speed
Bring ML/AI to production faster than ever.
Impact
Transform data to business results, with confidence.
Scale
Deploy AI anywhere, at scale.
Recent News & Articles
SMARTS Advancement with UCSD, Sapientai, GA, MIT & Partners
How SMARTS (Surrogate Models for Accurate and Rapid Transport Solutions) is leveraging cross-institutional expertise to innovate in fusion energy
A Deep Dive into the Fusion Data Platform’s Impact on Energy
As the world grapples with climate change and searches for sustainable, carbon-free energy solutions, the focus often turns to renewable sources such as wind, solar, and hydroelectric power. These technologies, while promising, may not fully meet the global energy demand in a zero-emission manner. This is where fusion energy comes into play. The U.S. Department
How Machine Learning as a Service (MLaaS) is Revolutionizing Predictive Analytics
MLaaS enables users to access pre-trained or custom-built machine learning models through cloud-based platforms, APIs, or web applications.
