Okara

Product Introduction

1. Definition: Okara is a privacy-first SaaS platform enabling instant access to 30+ open-source AI models (including text generators like DeepSeek V3.2, Llama, and image models like Stability AI) without local deployment. It operates as an encrypted, cloud-hosted AI workspace.
2. Core Value Proposition: Eliminates infrastructure barriers for running large open-source AI models (e.g., Kimi, Qwen) while guaranteeing end-to-end encryption, zero data training, and true deletion—ideal for professionals needing private, multi-model AI workflows.

Main Features

1. Multi-Model AI Hub: Instantly switch between 20+ open-source LLMs (Llama, Qwen, DeepSeek, Mistral) and image generators without context loss. Hosted on private servers, models process requests via encrypted APIs.
2. Unified Encrypted Memory: Preserves conversation history across all models using AES-256 encryption. Client-side decryption keys ensure only users access plaintext data.
3. Integrated Search Tools: Directly query Google, Reddit, X, and YouTube within chats. Real-time web data integrates into AI responses via custom scraping APIs.
4. Secure File Analysis: Process documents (PDF/DOCX), spreadsheets (XLSX/CSV), images (JPEG/PNG), and JSON files (≤5MB). Files are encrypted at rest and transiently decrypted during model inference.
5. Team Workspaces: Role-based access controls for collaborative projects. All team data remains encrypted with user-controlled keys.

Problems Solved

1. Pain Point: Inability to run state-of-the-art open-source models (e.g., 100B+ parameter LLMs) locally due to hardware limitations.
2. Target Audience: Security-sensitive professionals (lawyers, doctors, journalists), researchers handling confidential data, and teams needing collaborative AI without SaaS privacy risks.
3. Use Cases:
   • Medical/legal document analysis with HIPAA/GDPR-compliant encryption.
   • Cross-model research (e.g., testing Qwen for coding vs. Mistral for writing).
   • Generating marketing visuals from private creative briefs via open-source image models.

Unique Advantages

1. Differentiation: Unlike ChatGPT/Claude, Okara never trains on user data, allows mid-conversation model switching, and offers end-to-end encryption—unavailable in mainstream alternatives.
2. Key Innovation: Client-side key generation with 6-digit passcode protection. Keys encrypt data before server upload, and models run on privately hosted open-source infrastructure (no third-party APIs).

Frequently Asked Questions (FAQ)

1. How does Okara ensure data privacy? All chats/files are encrypted via user-generated keys stored locally. Models run on Okara’s private servers; zero data is logged or used for training.
2. Can Okara replace local AI model deployment? Yes, it eliminates GPU/VRAM requirements by hosting 30+ open-source models (including 100B+ parameter LLMs) cloud-side with sub-second latency.
3. Is Okara suitable for sensitive industries like healthcare or finance? Absolutely. End-to-end encryption, true data deletion, and privately hosted models comply with strict regulatory standards (e.g., HIPAA, FINRA).
4. What file types can Okara process? Supports PDF, DOCX, images (JPEG/PNG), spreadsheets (CSV/XLSX), and JSON. All files are encrypted during analysis and deleted post-session.