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The Granica AI Data Platform

Granica is an AI data platform that runs in your cloud environment (cloud-prem) to make your data AI-ready. It makes it simple and easy for AI/ML teams to build and manage high quality data — data that is compact, safe, and powerful — for use with AI, at scale. Granica also uses AI internally to continuously improve your data, making your projects faster and more impactful over time.

Why Granica
Granica AI Data Readiness Platform

Why choose the Granica platform to make data AI-ready?

Make data safe for use with Analytics/AI/LLMs

Granica discovers PII, biased and toxic content in data lakes, lakehouses and LLM prompts with SOTA accuracy. Our single platform handles PB-scale training data and real-time inference data for comprehensive AI safety.

Make data growth affordable while keeping data active

Granica lakehouse-native compression shrinks the physical size and cost of Parquet files by up to 60% while also speeding queries and data loading times by up to 56%, based on TPC-DS benchmarks.

Improve model performance and reduce training times

Granica analyzes your entire training dataset and existing models to identify the most representative and informative samples on which to train, improving performance by up to 30% and shrinking training cycles by 20-30%.

Gartner Journey AI-ready data
Gartner®: A Journey Guide to AI-Ready Data

What’s truly meant by the term AI-ready data, and what are the best approaches to successfully deliver AI-ready data aligned to AI use-cases? Download Gartner's latest research report to learn how AI efforts are evolving the data management requirements for organizations, compliments of Granica.

 

 

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Accelerate AI impact with Granica AI Data Management

The Granica AI data platform utilizes a cloud-prem architecture with a control and data plane that runs entirely in your cloud environment. It processes data in your cloud data lakehouses and their underlying object stores, as well as via real-time API, to make your data AI-ready. Key characteristics of the Granica architecture include:

secure

Your data never leaves your environment. Granica’s control and data planes self-deploy and run as a single tenant, respecting your security policies.

secure

The architecture is optimized for multiple availability zones (AZs), and APIs leverage VPC peering to connect with your applications, maximizing availability while minimizing cross-AZ charges.

secure

Granica cloud-prem combines the security and compliance benefits of a traditional VPC with the vendor-managed benefits of SaaS, providing the best of both worlds.

Granica’s platform consists of three AI data management products: Granica Crunch, a cloud cost optimization service; Granica Screen, a data privacy service; and Granica Signal, a training data selection service. The platform also includes a built-in capability for data lake observability called Chronicle AI, at no extra charge.

protect

Granica Screen: Data safety to power trusted, responsible AI

Granica Screen helps data engineers and developers to discover, classify, and de-identify sensitive information as well as harmful content in cloud data lake files and LLM prompts. It uses high-efficiency, ML-powered algorithms to deliver state-of-the-art accuracy on industry benchmarks while unlocking 5-10 times more data for safe model training vs. traditional approaches, at a similar cost.

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cost-optimize

Granica Crunch: Lakehouse-native compression to shrink cloud costs

Granica Crunch is the industry’s first cloud cost optimization solution optimized for large-scale tabular and columnar datasets. It introduces a new form of compression optimization for Apache Parquet, physically reducing files and associated at-rest and transfer costs by up to 60%, while also speeding queries by up to 56% - without requiring application changes.

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signal in the noise

boost quality

Granica Signal: Training data selection and refinement

Granica Signal is the industry’s first model-aware data refinement service, aptly named as it helps data teams identify the “signal in the noise” of their training data. Signal analyzes large-scale training data sets to prioritize and select the most impactful samples for model training, improving performance by up to 30% and reducing training cycles by 20-30%. 

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visualize

Granica Chronicle AI: Data lake visibility and cost optimization

Granica Chronicle AI is a data visibility service for AWS and Google Cloud data lake exploration and cost optimization. It allows you to explore your data environment with GenAI-powered prompts that generate visualizations and actionable insights so you can optimize access for improved compliance as well as optimize data lifecycles to further control data lake costs. Chronicle AI is included free with every Granica deployment.

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whitepaper

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

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AI-Security-Whitepaper-cover

Granica is Built for Enterprise AI

Scales to hundreds of petabytes

Adheres to SOC 2 Type 2 standards

Runs in your Virtual Private Cloud

Data never leaves your environment

Deep data lake observability

Auto-scales based on workload

Millions

in breach risk $ mitigated

Millions

in cloud cost $ saved

Petabytes

of data lakes processed

AWS/GCP

clouds supported

Data types supported

NLP, Text, Tabular, Clickstream, Logs, and More

The Granica AI data management platform supports a wide range of data types. Bring us your unique requirements, and we can customize the platform for your use case.

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Text/NLP

use-case-clickstream

Clickstream/Logs

use-case-tabular

Tabular

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Unveiling the New Era of Data Privacy: A Guide for CIOs and CISOs

Improve AI outcomes and ROI with the Granica data readiness platform

Granica is a cloud-prem, exabyte-scale platform that helps AI/ML teams build AI-ready-data for better AI. With the Granica AI data platform, you can power LLMs and GenAI with safe data, lower lakehouse data costs while speeding queries, and improve model performance. 

Request a 1:1 demo to see how the Granica AI data platform can help you get your data ready for AI.

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Read the docs