Announcing o11's backing from Y Combinator.
Why Local-First AI Matters for Enterprise Security
In the era of Generative AI, data privacy has become the paramount concern for enterprise CIOs. For financial institutions and law firms dealing with non-public material information (MNPI), the risk of sending sensitive financial models or contracts to a public cloud API—where they might be stored or used for training—is unacceptable.
This is why o11 is built on a “Local-First” architecture, prioritizing data sovereignty and security above all else.
The Local-First Philosophy
Unlike cloud-dependent solutions that require constant data transmission to external servers, o11 processes as much as possible within your controlled environment.
- Local Indexing & Processing: We index your documents and perform initial data processing directly on your machine or within your firm’s private cloud instance. This minimizes the surface area for data exposure.
- Zero-Retention Promise: When external LLM calls are necessary for advanced reasoning, we utilize enterprise endpoints with strict zero-retention policies. Your data is processed ephemerally and never stored.
- No Model Training: We contractually guarantee that your proprietary data is never used to train our foundational models. Your competitive edge remains yours alone.
Enterprise Compliance
o11 is designed to meet the rigorous standards of regulated industries.
- Auditability: Every AI interaction is logged and fully auditable by your IT security team, ensuring transparency and accountability.
- Flexible Deployment: We offer on-premise and VPC deployment options for institutions with the strictest data residency requirements.
- SOC2 Compliant: We adhere to SOC2 Type II standards, ensuring robust controls over security, availability, and processing integrity.
Conclusion
Security cannot be an afterthought; it must be the foundation. With o11, you get the power of cutting-edge AI without compromising the confidentiality of your firm’s critical data. Secure your future with a partner who understands the value of privacy.
