Synsira Software has launched Kind Local Pro, a new AI platform designed to operate entirely offline, addressing growing privacy concerns. Founded by Amii co-founder Dr. Jonathan Schaeffer, the company aims to provide an ethical alternative to mainstream AI services. This new tool gives users complete sovereignty over their data by keeping all information and processing on their local computer.
A New Paradigm for AI Privacy
The platform functions by allowing users to create curated collections of their personal files, including documents, videos, and emails. Kind Local Pro then indexes and analyzes this content to answer natural-language queries using only the provided information. This ensures all AI processing occurs directly on the user's desktop or laptop, never accessing the internet for its core functions.
This local-first approach stands in stark contrast to cloud-based models that require sending data to external servers for processing. Schaeffer emphasizes that a user's data never leaves their computer, with the only external communication being a periodic license verification. This design directly tackles what he calls "the whole issue" for many potential AI adopters who are wary of data exposure.
Addressing Ethical and Safety Concerns
Schaeffer's motivation stems from a growing disillusionment with the data privacy practices of major AI companies. He expressed a desire to create a tool that respects user privacy in an industry increasingly dominated by large-scale data collection. "I’m unhappy with the way that AI is going these days, and I wanted to do something about it," he candidly stated.
To ensure safety, Kind Local Pro incorporates specific guardrails and avoids anthropomorphic "chat" features, which the company views as a risk. The AI is designed to provide only fact-based answers derived from the user's data, complete with precise citations. If an answer cannot be found within the provided materials, the platform is programmed to say so rather than invent a response.
Targeting Data-Sensitive Professionals
The product is purpose-built for professionals in data-sensitive fields such as law, intellectual property, and academic research. These users can analyze confidential client files, proprietary strategies, or unpublished work without the risk of data leaks or unauthorized training use. This local control is a critical feature for maintaining confidentiality and security in these highly regulated sectors.
Beyond privacy, Synsira highlights the platform's reduced environmental footprint as a key benefit. By performing computations locally, Kind Local Pro lessens the demand for massive, energy-intensive data centers. Schaeffer notes that this approach allows users to "act locally" to achieve a global impact on AI's environmental costs, promoting a more sustainable model for the technology.
The introduction of Kind Local Pro marks a significant step toward a more private and user-centric AI experience. By prioritizing local data sovereignty, security, and environmental responsibility, Synsira offers a compelling alternative for individuals and organizations. This launch provides a practical solution for those seeking the power of AI without compromising on their core principles of privacy and control.