New AI 'Kind' Promises Hallucination-Free Search by Using Only Your Data

VICTORIA, British Columbia – February 09, 2026 – In an era where artificial intelligence is becoming increasingly powerful yet plagued by issues of trust and privacy, a new platform named Kind is launching today with a radical proposition: an AI that works exclusively for you, using only your data, and is incapable of making things up.

Developed by Synsira Software Solutions, Inc., and spearheaded by renowned AI pioneer Dr. Jonathan Schaeffer, Kind is a desktop application that flips the conventional AI model on its head. Instead of scraping the vast, often unreliable internet, it builds a private, searchable knowledge base from a user's own collection of files—from research papers and work documents to personal photos and audio notes. The result is a secure, personal search engine that promises accuracy by design.

A New Paradigm for AI Trust and Privacy

Public confidence in AI has been shaken by high-profile instances of "hallucinations," where models confidently invent facts, and by persistent concerns over how large tech companies use personal data. Kind directly confronts these issues by architecting its system around local processing and user control. Because the application runs entirely on a user's personal computer, the data—whether it's sensitive client information, academic research, or personal journals—never leaves the device.

This "privacy by design" approach is a significant departure from the cloud-centric models of most mainstream AI tools, which require sending user queries and sometimes entire documents to external servers. By keeping everything local, Kind inherently eliminates the risk of data being used for training third-party models, targeted advertising, or being exposed in a potential cloud data breach. This architecture not only enhances security but also carries an environmental benefit. By processing information on the user's machine, the platform reduces its reliance on the massive, energy-intensive data centers that power most of the world's AI.

The platform is designed for a variety of users. A freelance copywriter, for example, could upload their entire portfolio of drafts and client feedback, allowing Kind to source previously approved messaging for new projects. A researcher could consolidate decades of papers, notes, and lecture recordings into a single, queryable source, instantly pulling together all material on a specific topic for a new keynote speech.

The "I Don't Know" Revolution

Perhaps the most significant innovation in Kind is its commitment to intellectual honesty. The platform is engineered to prevent the AI hallucinations that have become a notorious flaw in many generative models. It achieves this through a strict, retrieval-based system. When a user asks a question, Kind searches only the files within its local database. If it finds supporting information, it provides an answer and cites the exact source document. If the data doesn't contain the answer, it doesn't guess or fabricate a plausible-sounding response. Instead, it clearly states, “I don’t know.”

This approach, known in AI research as "grounding," ensures that every piece of information delivered by the AI is tethered to a verifiable source controlled by the user. It trades the boundless, and sometimes fictional, creativity of open-ended models for uncompromising reliability within a defined context.

“People want AI to be helpful and trustworthy,” said Dr. Jonathan Schaeffer, the visionary behind Kind. “Current online-based AI tools have their flaws. Kind was built to overcome those challenges and is based on a simple idea: your data should work for you and only you. By grounding every answer directly in a user’s curated files, we’ve created an AI experience that users can rely on for accurate information.”

From Checkers Champion to Personal Knowledge Pioneer

The credibility of Kind is deeply rooted in the distinguished career of its founder. Dr. Jonathan Schaeffer is a celebrated figure in the AI community, a Professor Emeritus at the University of Alberta, and a former Canada Research Chair in Artificial Intelligence. His pioneering work has spanned more than three decades, earning him global recognition and two Guinness World Records.

His most famous project, Chinook, was a checkers-playing program that in 1994 became the first computer to win a human world championship in any game. In 2007, Schaeffer’s team announced they had "solved" the game of checkers, proving that perfect play always results in a draw. He also led the University of Alberta’s Computer Poker Research Group, which developed programs like Polaris that achieved world-class performance against human professionals. His foundational work has had implications far beyond gaming, contributing to advancements in fields like GPS navigation and bioinformatics.

The inspiration for Kind came from a more practical problem. While teaching at the University of Alberta, Schaeffer grew tired of students repeatedly asking questions already answered in the syllabus. He developed a simple program that could field these queries by searching only course documents and videos. This simple, effective tool became the conceptual seed for Kind, embodying the principle of providing accurate answers from a trusted, limited dataset.

Unlocking the Personal Digital Archive

Kind enters a bustling Personal Knowledge Management (PKM) market populated by established tools like Evernote and Notion, and more specialized applications like DevonThink and Obsidian. While these platforms excel at organization, Kind carves out a unique niche by combining robust data management with a private, locally-run AI assistant.

The growing trend toward local AI has, until now, been largely the domain of tech-savvy users willing to navigate complex open-source projects like PrivateGPT. Kind aims to democratize this capability, offering a polished, user-friendly product that makes private AI accessible to a broader audience. It presents a compelling alternative for professionals, academics, and privacy-conscious individuals who want to harness the power of AI on their own terms, without surrendering their data to the cloud. By transforming a user's disparate collection of digital files into an intelligent, interactive, and completely private knowledge base, the platform offers a new way to interact with the information that defines our personal and professional lives.

The application is available for download with a limited free version, while a subscription to Kind Pro is offered for $18.88 per month. The interface currently supports a wide range of languages, including English, Spanish, French, German, and Japanese, with broader language support for the user files it can search. With future updates and features already planned, Kind represents a confident step toward a future where artificial intelligence is not just powerful, but also personal, private, and dependably truthful.