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What is Okara?

Okara serves as a secure and privacy-focused AI workspace and chat platform tailored for professionals, providing effortless interaction with more than 20 powerful open-source AI language and image models within one unified framework, which helps users retain context while transitioning between different models, conducting research, generating content, or assessing documents. The platform ensures that all conversations, file uploads—including PDFs, DOCX documents, spreadsheets, and images—along with workspace memory, are protected through encryption at rest, processed using privately hosted open-source models, and are never leveraged for AI training or shared with outside parties, thereby granting users extensive control over their data with client-side key generation and true data deletion. By merging secure and encrypted AI chat with real-time search functionalities across various platforms such as web, Reddit, X/Twitter, and YouTube, Okara enables users to effortlessly weave live information and imagery into their workflows while safeguarding the privacy of sensitive information. Moreover, it supports collaborative team workspaces, simplifying group efforts, such as those by startups, to work together through AI threads while ensuring a collective understanding of context. This collaborative aspect not only boosts team productivity but also fosters innovation by allowing multiple users to contribute their insights in real time, ultimately creating a more dynamic and efficient working environment. With Okara, professionals can feel confident that their collaborative efforts will thrive within a secure and context-aware setting.

What is Azure Confidential Computing?

Azure Confidential Computing significantly improves data privacy and security by protecting information during processing, rather than just focusing on its storage or transmission. This is accomplished through the use of hardware-based trusted execution environments that encrypt data in memory, allowing computations to proceed only once the cloud platform verifies the environment's authenticity. As a result, access from cloud service providers, administrators, and other privileged users is effectively restricted. Furthermore, it supports scenarios like multi-party analytics, enabling different organizations to collaborate on encrypted datasets for collective machine learning endeavors without revealing their individual data. Users retain full authority over their data and code, determining which hardware and software have access, and can seamlessly migrate existing workloads using familiar tools, SDKs, and cloud infrastructures. In essence, this innovative approach not only enhances collaborative efforts but also greatly increases trust and confidence in cloud computing environments, paving the way for secure and private data interactions across various sectors.

Media

Media

Integrations Supported

Azure Databricks
Azure Key Vault
Azure Virtual Desktop
DeepSeek V3.1
GLM-4.5-Air
GLM-4.6
Kimi K2
Kimi K2.5
Kimi K2.6
Kimi K3
Kubernetes
Llama 4 Scout
Microsoft Azure
MiniMax M2
NVIDIA Confidential Computing
Qwen3
Qwen3-Coder
Stable Diffusion
YouTube
YouTube Ads

Integrations Supported

Azure Databricks
Azure Key Vault
Azure Virtual Desktop
DeepSeek V3.1
GLM-4.5-Air
GLM-4.6
Kimi K2
Kimi K2.5
Kimi K2.6
Kimi K3
Kubernetes
Llama 4 Scout
Microsoft Azure
MiniMax M2
NVIDIA Confidential Computing
Qwen3
Qwen3-Coder
Stable Diffusion
YouTube
YouTube Ads

API Availability

Has API

API Availability

Has API

Pricing Information

$20 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Okara

Date Founded

2025

Company Location

Singapore

Company Website

okara.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/solutions/confidential-compute

Categories and Features

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

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