
kama.ai is a Responsible AI Agent platform that gives you an accurate, accountable, and safe AI for your organization. It is used for training, quick source of truth for compliance issues, internal support, customer service, and for specialized communities needs.
Unlike generic GenAI tools that create answers probabilistically, kama.ai combines deterministic Knowledge Graph AI with governed Generative AI and Trusted Collections. Trusted Collections is a RAG technology that minimizes generative side hallucinations, while providing a core source for accurate, brand-safe, and a correct information source for AI answers. It lets organizations control what their AI Agents know, where answers come from, and how information is delivered to employees, customers, learners, members, or community users.
kama.ai’s platform is designed for situations where answers must be accurate, traceable, brand-safe, and aligned with approved source material. Human experts and Knowledge Managers can curate content, review AI-generated drafts, manage knowledge domains, and improve responses over time. This supports a governed-in-advance approach to AI, rather than relying on after-the-fact correction.
kama.ai is especially well suited for knowledge-heavy organizations, training programs, compliance environments, Indigenous and community-focused initiatives, HR support, education, research, and other use cases where trusted information matters.
This platform focused on Responsible AI use and delivery, results in safer AI adoption, better knowledge access, reduced repetitive workload, and more consistent support for the people who rely on your organization’s expertise.
Think kama.ai for trusted AI, governed knowledge, and answers your organization is willing to stand behind.
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FrameworkLTC's fully integrated and scalable platform automates all manual tasks, allowing LTC pharmacies to focus on what is most important: improving patient lives. Automation replaces manual tasks and allows you to expand your business while maximising margins. Delivering services that meet the needs of each facility will strengthen your partner relationships. Our facility-centric software allows you to provide concierge-level service, catering to every patient, wing, and facility. Allow facilities to print bills, check order statuses, and process returns according to your pre-defined rules. Your facilities will appreciate your reports. Automate refill and reorder prescriptions so they don't get lost on the production floor.
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Wings 3D
Wings 3D is a sophisticated and user-friendly subdivision modeling tool that combines power with accessibility. Its development was inspired by the works of Nendo and Mirai from Izware, and it has been in continuous development since 2001, initiated by Björn Gustavsson (bjorng) and Dan Gudmundsson (dgud). Between 2006 and 2012, Richard Jones (optigon) played a crucial role in maintaining the software and adding numerous features. Currently, Dan oversees Wings 3D's development with the invaluable assistance of an engaged community. The software provides an extensive array of modeling tools, a customizable user interface, and functionalities like lighting and material support, along with a built-in AutoUV mapping feature. Written in Erlang, a functional programming language from Ericsson, Wings 3D is named after the Winged Edge Data Structure (WEDS), which is integral to managing the adjacency relationships between edges, faces, and vertices in its models. As an open-source project, Wings 3D is available for free, making it suitable for both personal and commercial use, thus encouraging creativity and collaboration among users. This commitment to accessibility and community support has fostered a vibrant ecosystem around the software.
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Wing Python IDE
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