Join thousands of property managers who trust Buildium to take control of every aspect of their business and drive more revenue per door. It’s the #1 most recommended for a reason.
Buildium is all-in-one property management software loaded with all the features you need to thrive—accounting, communications, leasing, top-rated mobile apps and more. You’ll be able to find new revenue streams from resident services, count on award-winning support, and tap into an ecosystem of proven integrations with Buildium Marketplace. No matter the portfolio, Buildium is purpose-built for your job.
With packages starting at just $62 a month, and zero hidden fees, it’s no wonder Buildium is ranked by Forbes to be the “Best Real Estate Accounting Software for Property Managers.”
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ONLYOFFICE Docs is a secure online office suite for teams and businesses of all sizes. Create and edit docs, sheets, slides, fillable forms and PDFs. Collaborate with your teammates in real time using two co-editing modes, version history and other tools. Enable the AI assistant of your choice — ChatGPT, DeepSeek, Mistral, Groq AI, etc. Generate new content, summarize, translate and do more with your favourite AI tool while working on office files.
Integrate ONLYOFFICE Docs into your business platform, whether it be Odoo, Alfresco, Confluence, Pipedrive, Nextcloud, Redmine, SuiteCRM, etc., via an integration app (40+ available integrations).
Use Docs within ONLYOFFICE DocSpace, a room-based document collaboration platform equipped with the online office suite. Create dedicated spaces for different purposes, invite your teammates, assign access permissions and collaborate the way you like. With DocSpace, you can store, share and co-edit office files, and even interact with third parties.
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Mistral Large 2
Mistral AI has introduced the Mistral Large 2, a sophisticated AI model crafted to excel in various domains such as code generation, multilingual understanding, and intricate reasoning tasks. With an impressive 128k context window, this model accommodates a wide array of languages, including English, French, Spanish, and Arabic, while also supporting an extensive list of over 80 programming languages. Designed for high-throughput single-node inference, Mistral Large 2 is perfectly suited for applications requiring large context handling. Its superior performance on benchmarks like MMLU, coupled with improved capabilities in code generation and reasoning, guarantees both accuracy and efficiency in results. Additionally, the model features enhanced function calling and retrieval mechanisms, which are particularly beneficial for complex business applications. This makes Mistral Large 2 not only versatile but also a powerful tool for developers and businesses looking to leverage advanced AI capabilities.
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MiniMax M3
MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.
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