LM-Kit released LM-Kit Document Parsing, a document parsing engine for LM-Kit.NET and LM-Kit One that scores 86.0 on ParseBench, which the company says is the best result of any self-hostable method. …
LM-Kit argues that private AI deployments should be bought as one integrated engineering system rather than assembled from separate components, citing its LM-Kit.NET SDK and LM-Kit One private AI serv…
Local AI and private AI are not synonyms, according to a post from LM-Kit, which argues that running a model on hardware you control says nothing about where documents, embeddings, logs, or retrieval …
Neither "local AI" nor "private AI" has a formal definition, and no standard defines either term, according to an analysis that cites the NIST AI Risk Management Framework released January 26, 2023, w…
LM-Kit One launched as a private AI engine that runs models, agents, RAG, search and document intelligence on user-controlled infrastructure, offering OpenAI, Anthropic, Ollama and MCP-compatible endp…
LM-Kit released LM-Kit One, a self-hosted AI server that bundles models, agents, search, and document intelligence into a single product with signed packages now available for Windows, Linux, and macO…
LM-Kit One, a private AI application server from LM-Kit (part of the Calico IIM Group), becomes generally available on September 15 with signed packages for Windows, Linux, and macOS that are free to …