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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 Google Cloud Confidential VMs?

Google Cloud's Confidential Computing provides hardware-based Trusted Execution Environments (TEEs) that ensure data is encrypted during active use, thus finalizing the encryption for data both at rest and while in transit. This comprehensive suite features Confidential VMs, which incorporate technologies such as AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, as well as Confidential Space to enable secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption mechanisms. Confidential VMs are specifically engineered to support various workloads within Compute Engine and are compatible with numerous services, including Dataproc, Dataflow, GKE, and Gemini Enterprise Agent Platform Notebooks. The foundational architecture guarantees encryption of memory during runtime, effectively isolating workloads from the host operating system and hypervisor, and also includes attestation capabilities that offer clients verifiable proof of secure enclave operations. Use cases for this technology are wide-ranging, encompassing confidential analytics, federated learning in industries such as healthcare and finance, deployment of generative AI models, and collaborative data sharing within supply chains. By adopting this cutting-edge method, the trust boundary is significantly reduced to only the guest application, rather than the broader computing environment, which greatly enhances the security and privacy of sensitive workloads. Furthermore, this innovative solution empowers organizations to maintain control over their data while leveraging cloud resources efficiently.

Media

Media

Integrations Supported

DeepSeek
GLM-4.6
Kimi K2.5
Kimi K2.7 Code
Kimi K3.1 Pro
Llama 4 Maverick
Llama 4 Scout
Qwen
Qwen3-Coder
X (Twitter)
YouTube
YouTube Ads
gpt-oss-120b

Integrations Supported

Anjuna Confidential Computing Software
Gemini Enterprise Agent Platform
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Oasis Parcel
Thales Commander

API Availability

API Availability

Pricing Information

$20 per month
Free Version

Pricing Information

$0.005479 per hour
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Okara

Date Founded

2025

Company Location

Singapore

Company Website

okara.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/security/products/confidential-computing

Categories and Features

AI Agents

Not specified

AI Marketing

Not specified

AI Tools

Not specified

AI Workspaces

Not specified

Confidential AI

Not specified

Categories and Features

Confidential AI

Not specified

Virtual Machine

Not specified

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