Synsira launches local AI tool for private file searches
Wed, 29th Jul 2026 (Today)
Synsira has launched Kind Local Pro, an AI platform that runs entirely on laptops and desktops. The product expands the company's Kind software with a version for users who want local processing.
The software is designed to operate without cloud-based large language models, keeping data, analysis and user queries on the device rather than sending them to external servers.
It is aimed at professionals and organisations that want to search and analyse their own files using AI while retaining control of sensitive information. Potential users include legal teams, researchers, educators, communicators and compliance functions.
Users can add documents, presentations, research papers, notes, videos, images, email inboxes, audio files and other supported material into collections. Once the content is indexed, summarised, tagged and analysed, they can ask natural-language questions or use fuzzy search across those files.
According to Synsira, answers are generated from the user's own material rather than the open web. The software is also designed to indicate when the available data is insufficient to answer a question, rather than generate a response anyway.
Privacy focus
The launch comes as businesses and individual users continue to weigh the benefits of AI tools against concerns over data handling, confidentiality and the use of submitted material to train broader models. On-device systems have drawn interest from software developers seeking to avoid remote processing in some use cases.
Dr Jonathan Schaeffer made that case in comments issued with the launch. "People want AI to be useful, but they also want to know where their data is going. That is not a small concern. For many people and businesses, it is the whole issue. Kind Local Pro was built for users who want AI on their own terms: private, local and grounded in their own information," said Dr Jonathan Schaeffer, founder, Synsira.
Synsira said the product is built for data-sensitive environments. In legal and compliance work, lawyers can analyse internal memoranda and client files locally. In intellectual property and creative work, agencies, creators and executives can organise proprietary material without that content being used to train public models. In academic settings, researchers can search papers, drafts and lecture materials while keeping unpublished work on their own machine.
Product limits
Kind Local Pro allows users to upload up to 10,000 files, in batches of up to 500 at a time. Synsira also offers a free version, Local Kind Free, which supports up to 50 files.
The installed size is 1.9GB, with a further 6GB of AI models installed locally. That reflects the trade-off involved in moving processing away from remote infrastructure and onto personal computers.
Pricing starts at USD $79 for an initial subscription. Synsira has not provided further commercial details in the launch announcement.
Wider debate
The product arrives amid a broader industry debate over whether every AI task needs access to large, centralised computing resources. While cloud services remain the dominant model for many generative AI applications, smaller local systems have become an area of interest for users who prioritise confidentiality, control over files and predictable data handling.
Schaeffer echoed that point in a second statement. "Not every AI task needs to be sent to a massive data center. Sometimes the smartest place for AI to work is right where the information already lives: on your own computer. Bigger is not always better. Private, practical and accurate is better," said Schaeffer.