Nouswise

Executives and teams reportedly spend around a quarter of the workweek searching for information, amounting to 2.4 billion hours wasted each year within the Fortune 500. Generic AI tools generate plausible sounding answers without ground truth, creating hallucination risk. Answers that cannot be verified expose organizations to compliance and liability risks, which is a particular problem for regulated industries and public institutions. Decision-makers need solid, verifiable evidence rather than mere assurance, and information spread across different systems and data silos stays out of reach when it is needed.

Nouswise is an AI-powered research agent that draws answers solely from an organization's own curated library of documents, so responses are grounded, verifiable, and it will not fabricate an answer if one is not found in the source material. Its data and document search integration lets the AI securely index and query files to surface context-aware answers, and it supports Model Context Protocol (MCP) to standardize integrations with external systems and speed up deployment. Its agentic search coordinates multiple expert agents that cross-check sources, fill gaps, and resolve conflicts before producing a final answer. Additional features include a Visual Recap that generates a short video of two AIs discussing key insights from chosen content, and a Nouswise API for plugging its search, reasoning, and summarization into existing tools. The company built AVA, an intelligent interface giving World Bank Group policymakers direct, source-grounded access to institutional expertise, described by a World Bank unit head as only responding based on evidence found in its source library.