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Average Ratings 0 Ratings

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ease
features
design
support

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Description

VDF AI serves as a robust platform for enterprise AI agents, allowing businesses to construct, implement, manage, and operate secure AI agents in various environments, including on-premises, private-cloud, and cloud settings. This innovative platform integrates multi-agent orchestration with private retrieval-augmented generation (RAG), alongside features like model registration and routing, governed tool execution, policy controls, auditability, and seamless enterprise integrations. Organizations are empowered to connect authorized local or cloud LLMs, develop reusable agents and workflows, and manage data isolation by company, department, or individual, ensuring stringent control over sensitive data. Designed for deployment in environments that are both regulated and sensitive to data, VDF AI supports essential human approval processes, role-based access, observability, and managed deployment via containerized infrastructure. It facilitates a transition for enterprises from fragmented AI pilot projects to large-scale, governed AI operations, while also mitigating vendor lock-in and prioritizing data sovereignty. Ultimately, VDF AI not only enhances operational efficiency but also fosters trust and compliance within the organization.

Description

Kubbi serves as a secure handoff layer specifically designed for AI agents, facilitating the secure transmission of data, files, and execution results among various systems, agents, or individuals via temporary, encrypted claim links. Rather than transmitting sensitive information directly through workflows, prompts, or logs, kubbi empowers a producer to generate a payload that encapsulates content or packaged files, assigns a time-to-live, and creates a unique claim URL for sharing with the next participant in the workflow. The recipient can then access the payload at their convenience, with the option for the data to either automatically expire or be permanently deleted according to predefined retrieval limits. This methodology significantly minimizes the risk of sensitive data exposure across systems and inhibits any unintentional logging, caching, or replaying of that information. Furthermore, kubbi is versatile, accommodating various use cases like the transfer of configuration files, datasets, reports, tokens, and any other transient or sensitive data that should not persist within systems. By implementing such a secure transfer process, kubbi enhances data integrity and confidentiality throughout the entire workflow.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Model Context Protocol (MCP) No 
Python No 
TypeScript No 

Integrations

Model Context Protocol (MCP) Yes 
Python Yes 
TypeScript Yes 

Pricing Details

Custom annual enterprise pricing
Free Trial Yes 
Free Version No 

Pricing Details

$19 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

VDF AI

Founded

2025

Country

Sweden

Website

vdf.ai/

Vendor Details

Company Name

kubbi

Country

United States

Website

www.kubbi.ai/

Product Features

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