InferaDB provides a managed authorization service accessed via a single API that delivers microsecond‑scale permission checks and cryptographic audit trails. It handles billions of checks per second, offers built‑in compliance with standards like SOC 2, HIPAA, GDPR, and eliminates the need for in‑house policy engines or dedicated auth teams.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations build custom access‑control systems or stitch together policy engines, leading to high development costs, operational overhead, and exposure to broken‑access‑control vulnerabilities that can cause costly data breaches.
Solution
InferaDB offers a managed authorization infrastructure accessed via a single API that delivers permission checks in microseconds and automatically records cryptographic audit trails. The service scales to billions of checks per second, provides built‑in compliance with standards such as SOC 2, HIPAA, GDPR, NIS2, DORA, and PCI DSS, and eliminates the need for dedicated in‑house teams. By offloading authorization to InferaDB, developers can focus on feature delivery while maintaining consistent, low‑latency access decisions across all regions and tenants.
Target Audience
Primary customers are SaaS providers, enterprise application developers, and regulated businesses that need scalable, low‑latency access control without maintaining a dedicated authorization team.
Features
- Single API for permission checks with average latency of ~2.8 µs, orders of magnitude faster than traditional policy engines
- Cryptographic, tamper‑evident audit trails with only 0.3 ms overhead per decision
- Global consistency via 47 ms cross‑region synchronization and per‑vault encryption for tenant isolation
- Automatic compliance support (SOC 2, HIPAA, GDPR, NIS2, DORA, PCI DSS) and data‑residency controls
- Zero‑ops integration: no infrastructure provisioning, policy engine maintenance, or dedicated authorization team required
- Capacity to handle up to 4.9 billion checks per second, suitable for high‑throughput AI agent workflows and other latency‑sensitive applications