Personal AI

Personal AI

Personal AI is an enterprise-grade distributed edge AI platform focused on building and deploying small language models (SLMs) trained on users' proprietary data to create personalized digital twins or brand representatives. The platform enables deep customization of AI personas, secure deployment, and seamless business integration, boosting efficiency in knowledge management, customer interactions, and workplace collaboration.
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Distributed edge AI platformSmall language models (SLMs)Personalized AI model trainingEnterprise AI digital twinsAI persona customization platformPrivacy-first AI platformEnterprise AI integration solutionsPersonalized Language Models (PLM)

Features of Personal AI

A training platform for personalized language models (PLMs) based on users' proprietary data, enabling deep customization across identity, prompts, and brand.
Allows trained AI models to be integrated via API into third-party apps or platforms for seamless business-use case integration.
Professional services for expert-trained Personal AI, including custom model development, training support, and one-on-one workshops.
Uses a multi-tenant architecture, enabling AI personas to be deployed within team channels to foster collaboration and knowledge sharing.
Privacy-first design; users retain data ownership. Data in transit and at rest are protected with encryption and isolation.
Supports multimodal interactions and enables coordination and task assignment among multiple AI personas.
Enterprise-grade support including custom integration solutions, commercial licenses, and multi-AI-role licensing.
Built on a distributed edge computing architecture to optimize deployment and runtime efficiency of models in resource-constrained environments.

Use Cases of Personal AI

When a business needs to build a proprietary knowledge base and train an AI assistant that can accurately answer internal domain-specific questions.
When a brand wants to create an AI persona that embodies its brand image and values for personalized customer interactions.
When a team needs to automate repetitive documents, schedule meetings, or manage complex workflows to boost workplace efficiency.
When professionals in legal, finance, and other specialized fields need AI-assisted case studies, report analysis, and data organization.
When decision-makers at a company seek to integrate AI capabilities securely and compliantly into existing customer service or business systems.
When developers or engineers need to deploy lightweight, customizable AI models on edge devices or private environments.

FAQ about Personal AI

QWhat is Personal AI?

Personal AI is an enterprise-grade distributed edge AI platform designed to help users train personalized small language models on their own data to create digital twin AI personas representing individuals or brands.

QWho are the main users of the Personal AI platform?

Primarily decision-makers, employees, and domain experts at mid-size to large enterprises, used to build enterprise-grade AI applications rather than serving ordinary individual consumers.

QWhat data are required to create AI models with Personal AI?

You need proprietary data—facts, viewpoints, and brand materials—to train highly customized AI models that reflect a specific identity or domain knowledge.

QHow does Personal AI ensure data security and privacy?

The platform is privacy-first, with users retaining data ownership. It uses encryption and data isolation and adheres to applicable security and privacy standards. See the official security documentation for details.

QCan Personal AI models be integrated into other software?

Yes. The platform supports integrating trained personalized AI models into third-party applications or business platforms via API.

QHow is Personal AI priced?

Pricing is tailored for enterprise customers; request a demo for a quote. Personal subscriptions are currently not available to new users.

QHow does Personal AI differ from general large language models (like ChatGPT)?

Personal AI focuses on using users' proprietary data to train personalized small language models, delivering more specialized accuracy; while general LLMs are trained on public data and provide broad but non-customized knowledge.

QHow long does it take to train a model on Personal AI?

Training time depends on data volume, complexity, and customization requirements. The platform offers expert training services; the exact timeline is determined during project consultation.

QDoes Personal AI support multiple languages?

The platform supports multimodal interactions; for specifics on multilingual input and output support, please refer to the official technical docs or contact support.

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