We’ve launched Geodd for teams that can’t compromise on data privacy:
• End-to-end encrypted inference (custom silicon → API)
• Zero persistent storage – not even in memory
• Customer-held keys: we physically can’t access your models/data
• <100ms latency on dedicated nodes
Built for: Healthcare AI, legal tech, Web3 security, and sensitive workloads where compliance ≠ true privacy.
What custom models would you run if privacy/ownership were guaranteed?
Built for: Healthcare AI, legal tech, Web3 security, and sensitive workloads where compliance ≠ true privacy.
What custom models would you run if privacy/ownership were guaranteed?