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Intelligent Data Selection

Powerful data is AI-ready data

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.

signal in the noise

Use Cases for Data Selection in AI

Reduced training costs and time2
30% Lower Training Costs for Large Datasets

30% Lower Training Costs for Large Datasets

Granica Signal helps machine learning teams cut down on expensive training cycles by identifying and selecting only the most valuable data points. For businesses dealing with petabyte-scale datasets, Signal’s intelligent data refinement can reduce training compute and time by up to 30%, ensuring that only the most impactful data is used, lowering overall resource consumption.
Optimize AI Fairness with Balanced Data

Optimize AI Fairness with Balanced Data

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.

Automated class balancing
Higher accuracy model
30% Higher Model Accuracy & Performance

30% Higher Model Accuracy & Performance

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.

iclrv2
Powered by Industry-Leading Research

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.

State-of-the-Art Training Data Selection

Granica Signal amplifies the "signal in the noise" of your training data to maximize
the performance, accuracy and cost-effectiveness of your AI models.
model_aware

Model-Aware

Learns from both your data and your models for state-of-the-art curation, no labels required.

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Tabular

Optimized for tabular data,  commonly used for recommender systems. Other formats coming soon.

automated

Automated

Optimizes training data sets automatically, freeing up your team.

secure

Secure

Ensures your training data never leaves your cloud environment for maximum security and compliance.

scalable

Scalable

Dynamically scales with your datasets to handle petabytes and beyond.

easy

Simple

Easily integrates into your cloud and data infrastructure for fast time to results.

Gartner AI-Ready Data report
Gartner®: What Makes Data AI-Ready?

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.

 

 

whitepaper

Read Our Latest White Paper "Achieving AI Security: Guidance and Opportunities for CIOs, CISOs, and CDAOs"

Frequently Asked Questions:

What is Granica Signal?

Granica Signal is a platform that helps machine learning and AI practitioners create high-quality training datasets from large, complex data sources. It improves model performance and reduces training time by intelligently selecting the most valuable data.

How does data selection work?

Granica Signal uses AI to analyze your entire dataset, along with existing pre-trained models, to identify and assess each data point's contribution to model performance. It then prioritizes and selects the most representative and informative samples for subsequent training. Signal also keeps your training data up-to-date by automatically adding new relevant data and removing outdated samples. This ensures your models remain effective over time.

Is Granica Signal compatible with my existing AI infrastructure?

Granica Signal is designed to integrate seamlessly with most AI and machine learning frameworks. Our team can assist with integration to ensure you get the most out of the platform.

Ready to Transform Your AI Training?

Join the AI visionaries and leaders already using Granica Signal to refine their data, reduce costs, and boost performance.