Partner Spotlight: Charité
Charité leads AI-DAPT’s Health Pilot, developing non-invasive glucose monitoring through AI-powered analysis of wearable PPG data.
Introducing AI-DAPT Components: The Data Valuation Engine
The Data Valuation Engine helps assess data quality through correlation, feature importance, and spatial bias analysis for more trustworthy AI.
Introducing AI-DAPT Components: Model Observability and Adaptive AI Services
The Model Observability and Adaptive AI Services monitor model performance, detect drift, and support continuous AI adaptation.
Introducing AI-DAPT Components: The Synthetic Data Generation Engine
The Synthetic Data Generation Engine creates and evaluates synthetic datasets, enabling safe, representative data for trustworthy AI development.
Introducing AI-DAPT Components: The Data Cleaning Engine
The Data Cleaning Engine detects anomalies and repairs missing or corrupted data, helping prepare high-quality datasets for trustworthy AI.
Introducing AI-DAPT Components: The Data Features Toolkit
The Data Features Toolkit simplifies feature engineering through visual, no-code workflows that transform raw data into AI-ready datasets.
The AI-DAPT Platform Alpha Is Here
The AI-DAPT Alpha release delivers an integrated platform for trustworthy AI, combining data pipelines, human oversight, explainability, and hybrid AI models.
Physics-Informed Hybrid Energy Management
A physics-informed hybrid model detects and reconstructs cyberattacks on power grid data, improving resilience and operational reliability.
Governing Data Before It Governs AI
AI-powered data governance improves data quality, transparency, and compliance, enabling more trustworthy AI systems.
From Data Streams to Scalable Intelligence
Real-time data pipelines enable scalable, low-latency analytics, turning continuous data streams into actionable insights for adaptive AI systems.