Current

Current is a sophisticated AI-native knowledge management platform designed to bridge the gap between fragmented web research and structured internal intelligence. Built on a robust Retrieval-Augmented Generation (RAG) architecture, Current allows teams to capture, synthesize, and query high volumes of unstructured data from the web, PDFs, and internal documents. In the 2026 market landscape, Current positions itself as the 'Collective Intelligence Layer' for organizations that rely on real-time market shifts, academic research, or competitive analysis. Unlike traditional bookmarking tools, Current utilizes a vector-database backbone to enable semantic cross-referencing, meaning it understands the relationship between a saved article on 'Quantum Computing' and a team-uploaded PDF on 'Next-Gen Semiconductors.' Its technical core leverages a multi-model approach, dynamically switching between GPT-4o for complex reasoning and Claude 3.5 Sonnet for nuanced summarization. The platform’s 2026 evolution focuses heavily on 'Active Intelligence,' where the tool doesn't just store data but proactively alerts teams to inconsistencies or breakthroughs within their curated 'Spaces.' By integrating directly into the browser and enterprise communication stacks (Slack/Teams), Current eliminates the friction of manual data entry, transforming passive consumption into actionable organizational knowledge.