What mattersShow
- The platform allows users to index and query sensitive documents without sending data to external cloud servers.
- Primary sector: AI Infrastructure
- Open the company page to keep the follow-up signal in view.
Jonathan Schaeffer of Synsira Software Solutions has launched Kind Local Pro, an AI platform designed to operate entirely offline. The move directly challenges the industry norm of relying on massive corporate cloud-based Large Language Models (LLMs) by prioritizing local data control and privacy for users.
Kind Local Pro is built for organizations and individuals who require advanced AI capabilities but cannot risk sending proprietary information to external sources. The platform allows users to upload diverse collections, including documents, research papers, video, audio, images, and notes, which are then indexed and summarized by the integrated Kind AI system. Crucially, when a user asks a question, the answers generated are confined exclusively to the data within that local collection.
For organizations handling highly sensitive IP or regulated data, Kind Local Pro provides an immediate, localized alternative to traditional cloud AI services that minimizes external data transfer risk.
Schaeffer argues that for many businesses, especially those in legal, compliance, intellectual property, or academic research fields, data privacy is not merely a concern; it is the central issue. The platform's structure addresses this by allowing computations to remain on the user’s desktop, rather than being routed through distant cloud centers.
The product operates on an annual subscription model of $79, providing users with capacity for 10,000 total files, uploaded in batches up to 500 at a time. While this local focus offers maximum data security and control, the viability of Kind Local Pro will depend on its ability to match the sheer scale and specialized reasoning power offered by major cloud providers.
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