Search results for "Private"
Found 8 results (6 tools · 1 articles · 1 skills). Sorted by relevance by .
AI Tools (6)
StableLM—an open-source AI model from the same family as Stable Diffusion, capable of running with only 3B parameters and commercially viable.
63
StableLM is an open-source large language model series launched by Stability AI. It is trained on The Pile extended dataset, which contains 1.5 trillion tokens. It offers multiple parameter versions, including 1.6B, 3B, 7B, and 12B, and supports text generation and code writing. It is licensed under the CC BY-SA 4.0 open-source license, allowing free commercial use. Stable LM 2 12B outperforms Llama 2 70B in some benchmark tests. It is suitable for developers, researchers, and small and medium-sized enterprises for private deployment.
2026-07-02LLaMA—Meta's open-source AI model revolution, with performance comparable to GPT-4 and completely free for commercial use.
55
LLaMA is an open-source family of large language models launched by Meta, evolving from LLaMA 1 in February 2023 to multimodal LLaMA 4. The 70B parameter version boasts performance close to GPT-4, while the 405B version rivals GPT-4o. It is completely open-source and commercially viable. Enterprises can download and deploy it on their own servers without data sharing, meeting compliance requirements in industries such as finance and healthcare. With over 1.2 billion downloads globally, it is suitable for developers and enterprises requiring private deployment and deep customization.
2026-07-02Ginlix – an "AI construction team" tailored for Wall Street, enabling investment analysis to be continuously iterated like writing code.
52
Ginlix is an AI-powered company specializing in financial investment research. Its flagship product, LangAlpha, is an open-source investment research framework. Employing a Programmatic Tool Call (PTC) architecture, it allows AI agents to process financial data by writing and executing code, with a persistent workspace that enables research to accumulate like a codebase. It supports built-in models and can be deployed privately. It is suitable for individuals and institutions looking to leverage AI for deep, verifiable investment decisions.
2026-07-09H2O.ai – From a pioneer in open-source machine learning to a guardian of "sovereign AI," redefining enterprise-level intelligent agents with a converged architecture.
39
H2O.ai is a leading enterprise AI platform that integrates predictive and generative AI, focusing on AI deployments utilizing private, protected data. Its flagship products, h2oGPTe and H2O Super Agent, enable the creation of secure, autonomous agents in on-premises, VPC, and air-gapped environments. These agents consistently rank at the forefront of accuracy in authoritative benchmarks such as GAIA and FutureX. The company is trusted by more than half of the Fortune 500 and organizations within the world's most highly regulated industries.
2026-07-10MasterGo AI — Seamlessly transform designs into production-ready code with an intelligent product-design-engineering workflow validated by over 100 leading enterprises.
15
MasterGo AI is a leading enterprise-grade AI design tool in China, offering four core capabilities: AI Quick Layout, AI Design Assistant, D2C Pro (design-to-code conversion), and MCP protocol support. Deeply integrated with enterprise design systems, it ensures immediate compliance upon generation and produces editable vector graphics as well as production-ready frontend code (e.g., React, Vue); it also supports private deployment. It has served over 100 industry-leading enterprises and generated more than 500 million lines of code to date.
2026-07-10AnythingLLM – Full-stack AI applications and private knowledge bases, enabling you to build your own ChatGPT with any model.
3
AnythingLLM is a full-stack AI application that supports any commercial or open-source LLM. It features built-in RAG, AI agents, and no-code agent builders. It can run locally or be remotely hosted, intelligently converse with documentation, and requires no cumbersome setup. Supporting the MCP protocol, it offers Desktop and Docker deployment options, making it suitable for individuals and businesses to build private, fully functional AI assistants.
2026-07-14
