Bot Food Secures $1.5 Million to Decentralize AI Personal Context
Toronto startup builds a universal library for users to manage their personal AI data.
1New Funding for Sovereignty
Toronto-based Bot Food Corporation secured $1.5 million CAD in pre-seed funding from GreenSky Ventures. This capital injection brings the startup's total funding to $3 million. The company aims to develop a universal personal context library that functions across various AI products, allowing individuals to reclaim ownership of their personal data.
2Founding Team Experience
CEO Ian Collins and COO Nitin Singhal lead the startup, reuniting after their previous venture, Wysdom. Wysdom, originally named CrowdCare, focused on AI evaluation for customer service chatbots before being acquired by Minneapolis-based Calabrio in 2024. This background informs their current focus on solving context-related performance issues within modern AI systems.
3The Context Problem
Collins identified that AI performance often hinges on context, yet users currently lack rights over the data these systems harvest. As AI labs aggressively collect personal information to improve retention, Bot Food seeks to provide a counter-mechanism. The startup believes users will eventually demand control over their digital footprints and history.
4The RaLHF Mechanism
Bot Food is building an AI assistant named RaLHF to manage user data. This tool logs into third-party applications to catalogue information into a private, encrypted library. Users can view, edit, and selectively share this data with AI systems, ensuring they maintain granular control over what information is exposed to external models.
5Strategic Investment Rationale
GreenSky Ventures managing partner Jeff Brunet joined the board of directors following the investment. The firm views a universal personal context layer as critical infrastructure for the broader AI ecosystem. By backing experienced founders, GreenSky aims to support the development of foundational technology that other AI products will eventually depend upon.
6Product Roadmap and Security
The current beta version features a simple on/off switch for data access. Future iterations will allow for more granular permissions, enabling AI systems to draw context from specific apps for limited tasks. CTO Brendan Stennett is overseeing the product architecture, prioritizing enterprise-grade data security to protect the sensitive information stored within.
7Trust and Data Rights
Bot Food explicitly states in its terms of service that it holds no rights to the data stored on its platform. Collins emphasizes that the company cannot utilize user information for its own purposes. This model is designed to contrast with large AI labs that currently monetize user context for retention.
8Future Security Challenges
As agentic AI increases the risk of cyberattacks, Bot Food acknowledges it will become a prime target for malicious actors. The company plans to build trust and security protocols similar to password managers like 1Password. Success depends on maintaining this high-security standard as they scale their library of personal user data.
Original article: BetaKit — Bot Food Secures $1.5 Million to Decentralize AI Personal Context