Granica
Granica is an AI data readiness platform offering ML-driven lossless compression (Crunch), AI safety/PII screening (Screen), and model-aware data selection (Signal) for enterprise data and AI teams operating petabyte-scale cloud data lakehouses on AWS, GCP, and Azure, sold via direct enterprise sales and cloud marketplaces.
- Company typePrivate
- Founded2023
- HeadquartersMountain View, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Granica does
Granica (legal entity: Granica Computing, Inc.) is an AI data readiness platform founded in 2023 and headquartered in California that builds infrastructure software for cloud data lakehouses and AI/ML pipelines. The company's three core products are Granica Crunch, a self-optimizing lossless compression engine that uses ML models trained on customer data to derive per-column compression recipes achieving 45-80% byte reduction; Granica Screen, an "AI Safe Room" that performs PII discovery, bias detection, and toxicity screening across NLP and tabular data with synthetic data generation; and Granica Signal, a model-aware data selection and refinement solution for AI training datasets. Supporting infrastructure includes the Granica Console (management UI), Optimus (query acceleration recommendations from Trino/Spark/Athena logs), Object Maintenance for non-cataloged data, and a REST API (v1). Deployment is cloud-native with the data plane running inside the customer's own VPC (AWS EKS or GCP GKE) and the platform is SOC-2 Type 2 certified.
The company sells primarily through direct enterprise sales with demo-driven engagement and multi-year contracts, using outcome-based pricing on Crunch that scales with savings generated rather than data volume processed. Granica is additionally distributed through Google Cloud Marketplace and AWS Marketplace, enabling procurement against existing cloud commitments. Customer evidence indicates dozens of enterprise deployments at 1-100+ PB scale across SaaS, consumer internet, healthcare, and transportation verticals, with named case studies claiming up to $20M+ annual ROI for individual customers. The company has raised $45M in total funding (June 2023) led by New Enterprise Associates with participation from Bain Capital Ventures and Abstract, and maintains a research presence with publications at NeurIPS 2024, ICLR 2024 (Best Paper Honorable Mention), and ICML 2023.
Granica firmographics
Firmographics- Name
- Granica
- Legal name
- Granica Computing, Inc.
- Website
- https://granica.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Granica is an AI data readiness platform offering ML-driven lossless compression (Crunch), AI safety/PII screening (Screen), and model-aware data selection (Signal) for enterprise data and AI teams operating petabyte-scale cloud data lakehouses on AWS, GCP, and Azure, sold via direct enterprise sales and cloud marketplaces.
- Ownership category
- akta.pro rank
Granica industry classification
Industry- Product category
- Cloud Data Lakehouse Optimization Software
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Pipelines for GenAI (Curation, Filtering, Deduplication, Copyright) (HDAAACAJ)
- akta.pro secondary industries
- Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Bias, Fairness & Representativeness Testing for Datasets (HDAAALAK), MLOps/LLMOps & Model Lifecycle Management Services (BPAEAHAH)
Keywords
Where Granica is headquartered
LocationHeadquarters
- HQ city
- Mountain View
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Granica business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Granica Crunch SaaS Subscription: Outcome-based pricing for the Crunch compression service. Customers pay based on the savings achieved, not the volume of data processed. Pricing scales with the Data Reduction Rate (DRR) generated, ensuring high ROI for customers. Contact-based sales with demo-driven engagement.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Outcome-based pricing aligned to savings achieved |
Distribution channels3 records
Marketing channels6 records
Granica product offering
Product offeringCore offering
Granica sells an AI Data Readiness Platform that performs self-optimizing, lossless compression of cloud data lakehouse files (Iceberg, Delta Lake, Hive, Parquet) using ML-driven per-column recipes, reducing storage bytes by 45–80% and cloud query spend by 15–35% without pipeline or code changes. It also offers AI Safe Room capabilities (Granica Screen) for PII discovery, bias and toxicity screening, and synthetic data generation across training, fine-tuning, inference, and RAG pipelines, plus model-aware data selection (Granica Signal) for training data refinement.
Product overview
Granica is an AI data readiness platform consisting of three core products: Granica Crunch (lossless compression for data lakes), Granica Screen (AI Safe Room for privacy and safety), and Granica Signal (model-aware data selection). The platform operates through the Granica Console for UI-based management and provides REST APIs for programmatic control. Optimus is an integrated query optimization feature that analyzes query patterns to recommend table organization strategies. These products work together to compress, protect, and optimize data throughout the AI pipeline - from training data preparation through inference-time prompt protection.
Differentiator
Problem solved
Functional benefit
Brands
- Granica Crunch: AI-powered data lakehouse compression solution that reduces storage costs by up to 80% through lossless compression and optimization of columnar data formats.
- Granica Screen
- Granica Signal
Products and services
- Granica Crunch Self-optimizing, lossless compression engine for cloud data lakes and lakehouses that uses ML-driven per-column recipes to strip 45–80% of bytes from Parquet and other columnar formats, reducing storage and query spend without pipeline changes. Designed for enterprise data and AI teams running petabyte-scale lakehouses on Iceberg, Delta Lake, Hive, Spark, Trino, Snowflake, BigQuery, and Databricks.
- Granica Screen AI Safe Room solution that discovers PII in tabular and NLP data during training, fine-tuning, inference, and RAG; detects bias and toxicity across protected attribute categories; and generates realistic synthetic data to replace sensitive information. Targeted at AI and data teams building LLM-powered applications.
- Granica Signal Model-aware data selection and refinement solution that improves AI/ML model performance by automatically reducing noise, improving relevance, and correcting class imbalances in training datasets. Built for enterprise AI teams seeking higher-quality training data with reduced data volume.
Quantifiable outcome
- 45-80% byte reduction in cloud data storage
- +8 more outcomes
Companies that use Granica
Customer profileNamed customers5 records
Segments2 records
Ideal customer profiles2 records
Granica technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration17 records
AI capability11 records
Feature7 records
Granica partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Google Cloud MarketplacecoreGranica Screen, the company's AI Safe Room solution for privacy and safety, is available through Google Cloud Marketplace. This enables simplified procurement, consolidated Google Cloud billing, and allows customers to leverage existing Google Cloud commitments and discounts for purchasing Granica software.
Scale indicators8 records
Recent moves6 records
Expansion highlights5 records
Granica competitors and assessment
Company assessmentBroad incumbents
- Databricks: Databricks offers built-in Optimize and auto-compaction features for Delta Lake that directly compete with Granica Crunch; Granica's own marketing cites '2x faster and lower cost than Databricks built-in Optimize' as a flagship proof point, making this the central head-to-head competition.
- Snowflake: Snowflake provides automatic clustering, native compression, and search optimization services across its cloud data platform; Granica integrates with but also competes against these bundled optimization features when selling into Snowflake customers.
- BigID: BigID operates a broader data intelligence platform for data privacy, security, and governance, including PII discovery — overlapping significantly with Granica Screen's PII discovery across training, fine-tuning, inference, and RAG.
- Immuta: Immuta provides data access control, privacy, and governance for cloud data platforms; it competes with Granica Screen in the data privacy and policy enforcement layer that enterprises need before exposing data to AI workloads.
- Informatica: Informatica provides enterprise data integration, quality, and governance across cloud data platforms — adjacent to Granica's positioning across compression, data quality, and AI data readiness, particularly at large Fortune 500 buyers.
Direct peers
- Tonic.ai: Tonic.ai offers data masking, de-identification, and synthetic data generation for AI development — directly overlapping with Granica Screen's PII discovery and synthetic data replacement capabilities for training and inference pipelines.
- Gretel.ai: Gretel.ai provides a synthetic data platform for AI/ML training and privacy-preserving data sharing — a closely comparable offering to Granica Screen's AI Safe Room for privacy and safety during model development.
- Mostly AI: Mostly AI specializes in synthetic data generation for structured tabular data with statistical fidelity guarantees — overlapping with Granica Screen's synthetic data replacement feature for sensitive information in AI pipelines.
- Private AI: Private AI focuses on PII detection and redaction in text and structured data for AI/ML use cases — a narrowly comparable offering to Granica Screen's NLP-based PII discovery during training, fine-tuning, and inference.
- Scale AI: Scale AI provides data labeling, evaluation, and data curation services for ML training — closely comparable to Granica Signal's model-aware data selection and refinement capabilities aimed at improving training dataset quality.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Granica social profiles
Digital presenceGranica compliance and trust
Trust signalCompliance1 record
Granica financial estimates
Financial estimateRevenue estimate
Valuation estimate
Granica leadership team
Management profileNumber of profiles
Profiles1 record
Granica funding detail
Funding detailFunding overview
Funding rounds2 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Granica M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Granica
What does Granica do?
Granica sells an AI Data Readiness Platform that performs self-optimizing, lossless compression of cloud data lakehouse files (Iceberg, Delta Lake, Hive, Parquet) using ML-driven per-column recipes, reducing storage bytes by 45–80% and cloud query spend by 15–35% without pipeline or code changes. It also offers AI Safe Room capabilities (Granica Screen) for PII discovery, bias and toxicity screening, and synthetic data generation across training, fine-tuning, inference, and RAG pipelines, plus model-aware data selection (Granica Signal) for training data refinement.
Is Granica a public or private company?
Granica is a private company. It is classified as venture growth investor backed and is currently operating.
When was Granica founded?
Granica was founded in 2023. It employs 11 to 50 people.
Where is Granica based?
Granica is headquartered in Mountain View, United States, in the North America region.
How does Granica make money?
One revenue line is on record: granica Crunch SaaS Subscription.
Who are Granica's main competitors?
Broad incumbents on record are Databricks, Snowflake, BigID, Immuta and Informatica. Direct peers are Tonic.ai, Gretel.ai, Mostly AI, Private AI and Scale AI.
Does Granica have an API?
Yes. Granica offers a REST API (v1) that enables programmatic management of all aspects of the Granica platform, including table onboarding, compaction scheduling, catalog connections, query optimization via Optimus, and object maintenance. The API supports tables, schedules, crunch jobs, vacuum operations, partition expiration, pending deletions, catalog connections, feature flags, Optimus query optimization runs and recommendations, and object maintenance locations and prefixes. Authentication requires valid credentials; API keys with explicit scopes are enforced. Developer documentation is at docs.granica.ai/api-reference.
What industry is Granica in?
Granica's product category is Cloud Data Lakehouse Optimization Software. Its primary akta.pro industry code is HDAAACAJ, Data Pipelines for GenAI (Curation, Filtering, Deduplication, Copyright), with a secondary code of HDAEABAL, Data Warehouse/Lakehouse Performance Optimization & Cost Management. Its NAICS code is 5132 and its SIC code is 7372.