Chunky vs Personal AI

Chunky lets you build AI chatbots that answer questions using your own data. You can train your chatbot by uploading PDFs, entering your website URL, or linking a Google Sheet. The bot scrapes and learns from this data automatically.

It integrates easily into your website with a single line of code or can be shared via a public link for team testing. Chunky supports nearly 95 languages, allowing both training data and responses in multiple languages. The platform is designed to be simple and quick to set up, helping you automate customer support and save time.

Personal AI builds memory infrastructure that gives AI a persistent identity instead of resetting every session. Its Memory Core encodes, stabilizes, stores, retrieves, and updates experiences so an assistant remembers what it has lived, not just documents you upload. The stack spans My AI for end users, Persona Studio for builders, and carrier-grade Memory Core deployments on operator networks.

Most AI assistants treat context as static files you attach before each chat. Personal AI separates memory (accumulated experiences with temporal structure) from context (static uploads) and lets identity emerge over time. Carrier benchmarks on Comcast's network cite 15ms time to first token, $0.02 per million tokens, and sub-500ms end-to-end voice versus cloud LLM baselines.

Telecom carriers, enterprise AI teams, and individual users who want a long-running assistant use Personal AI. Carriers deploy MODEL-4 on their own networks under custom agreements. Builders use Persona Studio to configure personas without code. Consumers get My AI, an assistant that remembers conversations and learns preferences over time.