Initial beta release is planned for first quarter of 2025.
Yes, there is an early adaptors program for early access to initial pilot versions.
It is a new type of Cloud Operating System with new layers on top of the current OS model. Low code and automation engines can work within the OS. It is not related to one specific low-code or no-code platform.
TAMs (Transportable App Models) are the basic building block of ClaraOS. Similar to how PDF files are standards for documents, TAMs provide a standard way to define everything about an app or business solutions: logic, business rules, triggers, processes, UIs, entity relationships, schemas, etc. The TAMs definition are used as training data for AI models within the OS.
Cloud CPUs are virtual cloud CPUs which are vendor neutral. Their capacity can be configured with various vendors mix and match. It is a new concept which executes TAMs to run apps.
It does not use either. The MISMO Methodology is based on AI-hybrid development teams across very large scale contributors to a project.
Yes, the scoring can be turned off or on. Individual scoring models can also be turned on and off.
No, it is neutral of databases, LLMs, cloud platform, device OS or browser.
It can use any LLM chatbot AI engine. It supports multiple LLMs inside TAMs.
No, all roles do not need to be automated. Automated roles can be fully automated or automated up to certain level.
Yes, apps can be built to run outside the Cloud CPUs. These apps will run as traditional apps outside of the Cloud CPUs.
The initial workspaces are being built as traditional apps. They will be recreated using a TAM and the new methodology.
A virtual work space which can be role or industry specific ( Salesperson, Cloud Engineer, Legal Industry, etc) which comprises of multiple UI canvases running apps and/or Multi-Chat sessions. They are telemetry based and used for data gathering for the Cloud CPUs improvement cycle training data.
The TAM schema is a multi-layered schema where all data and relationships are documented inside a TAM. The TAM schemas are part of the overall TAMs design.
AI Models are designed TAMs. One App Model can define multiple AI Models as part of its design.
TAMs are made up of multiple nodes inside the App Model. The App Model Trees (TAM Trees) link the multiple nodes together. Each node can define logic, processes, AI models and other components which can define an entire solution, app or product.