Granica
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About Granica
Granica is an AI research and products company providing intelligence and infrastructure to run enterprise AI. Its platform includes three core offerings: Crunch, a data lake optimization engine that continuously reduces storage by 20–50%, accelerates queries, and lowers infrastructure costs; Myelin, a stateful infrastructure for long-running AI agents that preserves session context across drops; and Large Tabular Models, a research-driven initiative to bring generative AI to tabular data. Granica emphasizes that enterprises own the intelligence built on their data and control the infrastructure it runs on, rather than renting. The company also maintains a research lab with published work at top machine learning venues (ICML, ICLR, KDD, NeurIPS), including an ICLR 2024 Outstanding Paper honorable mention. Real-world results include $200K/PB annualized ROI, 4-week time to value, and 10x more agent sessions after adopting Myelin.
Key Features
Pros & Cons
- Proven cost savings of 20–50% on storage and $200K/PB annualized ROI across storage and compute
- Fast time to value (4 weeks from kickoff to verified savings)
- Stateful agent infrastructure solves the real problem of session drops in long-running agents
- Enterprise-owned AI: no vendor lock-in, runs inside customer perimeter
- Strong research pedigree with publications at top ML conferences
- Handles both real-time optimization (Crunch) and agent state persistence (Myelin)
- Eliminates hundreds of recurring data engineering jobs
- Context caching dramatically reduces rebuild overhead (95.6x cache hit rate)
- No standalone free tier or self-service pricing available (contact-based pricing)
- Primarily focused on large enterprise use cases, may not suit small teams or individual developers
- Documentation and trial access not publicly visible without booking a demo
- Niche focus on data lakes and agent infrastructure; not a general-purpose AI platform
- Two separate products (Crunch and Myelin) may require integration effort for combined value
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