An end-to-end platform to efficiently analyze any time series data, effectively include signal processing steps, and create optimized AI models.
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TEMPORALIS is a start-up company that supports AI and MLOps services via a holistic
in-house platform, for time series analysis, digital signal processing (DSP), and
Neural Networks that are capable of efficiently analyzing time series data.
Through the platform, the user can significantly accelerate experimentation by
selecting the proper DSP steps, the AI modeling, and effectively setting a batch
of hyperparameters for both data processing and AI modeling to explore hyperspace,
converging fast to an optimal solution through Explainable AI (XAI); finally,
end-to-end AI pipelines are exported to a proper format ready for delivery in production.
Our platform is already being used and validated:
Intelligent analysis of energy-related time series data (smart meters, power signals) for energy disaggregation, behavioral shifts, and anomaly detection.
Analysis and processing of diverse vital signs (from wearables, medical devices, sensors) in novel digital health applications.
Recognition of human activity based on multimodal sensor streams from diverse smart wearable technologies.
Analysis of massive, heterogeneous environmental data from diverse sources (fixed stations, crowdsourcing, social media streams).
Specialized scientific and technical expertise.
info@temporalis-ai.io