Granica Signal is the first model-aware data selection and refinement solution for building higher-quality datasets. It helps AI and ML teams select the most impactful, powerful data samples for training. Transform your AI results by finding the "signal in the noise" so you can say goodbye to weak, low relevance data points and hello to optimized models that perform better, train faster, and cost less.
In industries where ethical AI and model fairness are paramount, Granica Signal automatically detects and corrects class imbalances in datasets. By creating well-distributed, representative data samples, organizations can ensure their AI models produce unbiased, fair outcomes, which is critical for sectors like finance, healthcare, and HR.
Granica Signal improves AI model performance by selecting the most relevant and informative data samples for training. By focusing on high-quality data points and filtering out redundant or low-value data, Signal helps AI and ML teams achieve up to 30% better model accuracy. This targeted approach accelerates training cycles and ensures models are optimized for the specific tasks at hand, leading to more accurate, reliable predictions and outcomes across industries.
Our groundbreaking research into data selection, recognized at the ICLR conference, is the foundation of Signal and what enables it to make AI significantly more accurate and cost-effective.
Learns from both your data and your models for state-of-the-art curation, no labels required.
Optimized for tabular data, commonly used for recommender systems. Other formats coming soon.
Optimizes training data sets automatically, freeing up your team.
Ensures your training data never leaves your cloud environment for maximum security and compliance.
Dynamically scales with your datasets to handle petabytes and beyond.
Easily integrates into your cloud and data infrastructure for fast time to results.
What’s truly meant by the term AI-ready data? Download Gartner's research report to learn how AI efforts are evolving the data management requirements for organizations, compliments of Granica.
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