Upload transaction metadata to initiate a Sovereign AI audit. All processing occurs within the encrypted Ocularis Shield.
Drag transaction .csv or .json here
Gemma 2:9b is initialized. No data packets will leave the local environment during this simulation.
> Awaiting command...
Ocularis AI eliminates synthetic identity theft via Gemma-powered behavioral reasoning. Protecting the Indian banking sector with an unhackable forensic moat.
Initiate Forensic ScanCurrent banking AI relies on foreign-hosted APIs, exposing sensitive Indian financial data to international clouds. This creates a massive compliance and security risk.
Data residency violations under RBI guidelines.
Ocularis operates 100% locally on private GPU clusters.
₹1,200Cr+
Lost to digital fraud in India monthly
Awaiting Local Session Stream
Model Deployment
Fine-tuned **Gemma-2-9B** running via 4-bit quantization. Optimized for local inferencing on NVIDIA L4/A100 clusters to ensure <200ms latency per transaction audit.
Data Sovereignty Protocol
Zero-Knowledge Architecture. Transaction metadata is processed in volatile memory (RAM) and purged immediately after the forensic trace is generated. No data persistence on cloud disks.
Compliance Engine
Built-in mapping for **RBI Cyber Security Framework (CSF)**. Ocularis automatically flags patterns consistent with Smurfing, Mule-Account clustering, and Synthetic Identity Fraud.
Most AI companies are API wrappers. Ocularis owns its stack. By fine-tuning open-weights locally, we provide 100% data sovereignty for Indian Banks, eliminating third-party API dependencies and data leaks.