Granica
Granica provides a data training platform with a suite of tools designed to enhance the safety, efficiency, and privacy in AI development. At its heart is an em...
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What is Granica?
Granica is an AI infrastructure platform that transforms how enterprises manage data for AI and analytics workloads. It advances the state-of-the-art in data for AI by turning exabyte-scale noise into real-time reasoning, shifting the industry from ETL to E∑L (entropy-to-intelligence). The platform uses self-optimizing, lossless, state-of-the-art compression that turns petabytes into terabytes while optimizing Token Utilization for LLMs, helping organizations halve spend and double speed across Iceberg, Delta, Trino, Spark, Snowflake, Databricks, Claude, and more.
The platform consists of three core products: Granica Crunch provides byte-granular data reduction that compresses petabyte-scale AI training data in cloud object stores by up to 80% via innovative compression and deduplication algorithms. Granica Screen is the data privacy service for enterprise AI that supplies byte-precise detection with high recall and precision for identifying and protecting sensitive data across tabular, semi-structured, and unstructured text data. Granica Chronicle AI offers conversational AI for data visibility, simplifying querying of inventory and access usage data with automated reports and visualizations.
Granica is purpose-built for AI/ML developers, data teams, and enterprises working with generative and traditional AI. It targets organizations managing petabyte to exabyte-scale data lakes including SaaS companies, consumer internet firms, healthcare providers, and Fortune 500 companies. The platform integrates seamlessly with cloud object stores like S3 and Google Cloud Storage, deploys inside your VPC with zero code changes, and is easily consumed as an API by developers building AI applications.
Key features include entropy-aware compression that strips out 45–80% of bytes while slicing cloud query spend 15–35% across every workload class, continuously adaptive compression that learns every query and data pattern, hands-off orchestration that auto-scales forever after setting one cost-performance target, and trusted controls with SOC-2 Type 2 compliance and full audit logs. The platform works with any lake including Iceberg, Delta, Trino, Spark, Snowflake, BigQuery, and Databricks with zero disruption.
Granica pricing
Pricing model: Free
Granica's platform is free to deploy with no upfront costs. The company uses an outcome-based pricing model where users pay a percentage of the actual savings generated by Granica's services. If no savings are realized, there is no cost to the user. Rather than charging per compute cost like most AI providers, Granica only charges a percentage of customer savings. Pricing is based on contract duration and terms with the vendor plus additional usage, with charges applied on top of contract price. Granica Screen is available via Google Cloud Marketplace for simplified billing consolidated into Google Cloud invoice, and also available on AWS Marketplace with 12-month contract options.
Granica pros
- Compresses petabytes to terabytes with lossless compression
- Reduces storage costs by up to 80%
- Halves LLM token usage by 50%
- Slices cloud query spend 15-35% across all workloads
- Works across Iceberg, Delta, Trino, Spark, Snowflake, BigQuery, Databricks
- Zero code changes required for deployment
- Deploys inside your VPC for complete data sovereignty
- No data leaves your cloud environment
- Continuously adaptive compression learns query patterns
- Elastic auto-scaling handles petabytes to exabytes
- Byte-precise PII detection supports 100+ languages
- Real-time API for LLM runtime protection
- 10x lower compute cost per byte scanned than traditional DLP
- SOC-2 Type 2 compliant with full audit logs
- ROI realized in days not months
- Uncrunch feature returns data to original form instantly
- 50-60% storage savings verified at customer sites
- $3M-$20M+ annual ROI documented at customers
Granica cons
- No public pricing listed on website
- Enterprise-focused not suitable for small teams
- Requires AWS or GCP cloud environment
- Minimum 2-node Kubernetes cluster for HA
- Early Access preview for Granica Screen limits availability
- No free tier explicitly advertised
- Complex enterprise deployment process
- Best results on highly compressible high-cardinality data
- Documentation primarily API-focused not beginner-friendly
Frequently asked questions about Granica
What is Granica?
The Granica AI Data Readiness platform is a suite of services to help data-hungry organizations build and manage high quality data for AI at scale. Our platform uses AI to continuously improve data, making analytical, ML and AI projects faster and more effective over time. Simply put, Granica increases the safety, efficiency, and effectiveness of AI.
Does my data leave my environment?
No it does not. Granica uses a self-managed, cloud-prem (i.e. private) deployment model in your public cloud environment. Only control plane data and telemetry metrics are shared with Granica corporate systems and employees.
What is Granica Crunch?
Granica Crunch is the world's only training data compression service for traditional and generative AI, which saves on storage and access costs for petabyte-scale training data thus freeing up the budget to acquire more data and train more accurate models. It delivers inline and lossless data reduction of large-scale AI data such as sensory imagery and textual files, reducing storage costs by up to 80 percent.
What is Granica Screen?
Granica Screen is the data safety service for enterprise AI. It works directly with AI-related data in S3/GCS and provides a real-time API for developers to build safety into their applications, especially LLM-enabled applications. It identifies, protects, and monitors all sensitive information in tabular, semi- and unstructured text data to improve data security posture, prevent breaches, unlock data for business needs, streamline privacy monitoring, and enable regulatory compliance.
How does Granica compare to traditional compression?
Unlike traditional solutions, Granica's entropy-aware compression strips out 45-80% of bytes while maintaining data quality. Screen outperforms low-fidelity ML and regex-based solutions in precision and recall, with 5-10x lower compute infrastructure cost per byte scanned compared to traditional data privacy solutions.
Can I use Screen and Crunch together?
Yes, both products are built on the same Granica platform and are fully compatible with one another. You can maximize your AI efficiency benefits by using both together on the same data.
How do I undo a Granica deployment?
At any time you can uncrunch any data already processed by Granica Crunch to return it to its original form, and then teardown your deployment to return your environment to its pre-Granica state. See the CLI reference for details.
What cloud platforms does Granica support?
Granica is deployed as managed software that runs in your AWS or GCP cloud account. It works seamlessly with Iceberg, Delta, Trino, Spark, Snowflake, BigQuery, Databricks, and more. Granica Screen is available via Google Cloud Marketplace and AWS Marketplace.
How does Granica achieve exabyte-level scale?
Granica automatically scales out additional nodes beyond the 2-node minimum for HA to dynamically handle arbitrarily large data volumes. Scaling is completely elastic—as load decreases, Granica automatically shuts down unneeded nodes, minimizing operational costs and maximizing savings from Crunch.
What is the pricing model?
Granica offers outcome-based pricing where users pay a percentage of the savings generated by the platform. If no savings are realized, there is no cost. The platform is free to deploy with no upfront costs. Rather than charging per compute cost like most AI providers, Granica only charges a percentage of actual customer savings.