Stop optimizing yesterday work

Most AI tools speed up what you already do — which is why the ROI stays thin. SNAP takes a different path: instead of optimizing individual tasks, it makes your whole organization intelligent. ### One shared memory, one knowledge graph SNAP captures everything your teams already know — pages, voice notes, PDFs, and decks — and connects it into an Enterprise Knowledge Graph. Every file, capture, and note becomes a node your organization can reason across, so answers are grounded in what your people actually wrote, said, and shipped. That shared layer is what turns scattered work into compounding knowledge. If you want to go deeper on the mechanics, see how shared AI memory compounds across teams. ### Reasoning that surfaces the moves no one looked for Once your memory is connected, SNAP reasons across all of it and surfaces things a task-level assistant never would: - a new positioning angle pulled from six months of customer notes - a patent idea hiding across two research threads - a stronger grant pitch stitched from prior submissions - instant answers to the HR and ops questions every employee keeps asking Every answer is cited, scoped by role, and traceable back to source — which matters when the stakes are real. See our take on why high-stakes AI needs a confidence score. ### The model is rentable — your memory is not Your tools, your enterprise memory, and self-hosted models stay inside your walls. The graph stays your asset. That's the difference between buying AI and adopting AI: one intelligent organization that finally knows what it knows.