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Organizations face difficulties in securely deploying and managing LLMs for collaborative workflows due to fragmented tools, lack of real-time multi-user support, insufficient prompt engineering capabilities, and risks associated with data privacy, transparency, and control over AI models trained on proprietary data.
A California-based startup focused on enhancing online interactions through open-source annotation tools and AI-driven collaboration platforms, leveraging expertise in climate change and large language models (LLMs).
Enables organizations to securely leverage LLMs for collaborative workflows, improving productivity through real-time AI-assisted content creation, reducing operational risks via self-hosted options, and fostering innovation through reusable prompt engineering capabilities. The platform will enhance cross-domain collaboration with transparent AI interactions while maintaining strict data governance.