SmartMind AI
SmartMind AI offers Qurify, an agentic transformation platform that automates office and sales workflows by letting users query company data through natural language. The platform combines an ontology agent that understands business terminology with an assetization agent that captures employee know-how as reusable company assets, with answers always citing their sources. Qurify deploys in about a month with dedicated field engineers and supports both SaaS and on-premise installations for closed networks.
- AI Agents
- Enterprise Software
- Artificial Intelligence
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
In organizations without ERP systems, creating daily, weekly, or monthly reports requires meetings and manual data collection, taking two to three weeks per report. Data generated through these efforts is not accumulated, so re-analysis requires starting from scratch, and employee know-how remains trapped in individual minds, disappearing when people leave.
Solution
Qurify is a subscription-based Agentic Transformation (AX) solution that automates office and sales workflows using LLM-based agents. It integrates structured and unstructured data—such as RDB, ERP, OneDrive, and chat logs—into a company ontology, enabling users to generate reports and answer queries through a single question. Answers come with cited sources, and the platform distinguishes verified data from unverified information. Dedicated field engineers deploy the solution in about a month and continuously build additional agents tailored to customer workflows, while an Assetization agent automatically captures conversational know-how as reusable company assets.
Target Audience
Primary users are data analysts, planners, finance, and operations staff, as well as IT and AX organizations at enterprises operating ERP or data warehouse systems. The solution also serves public sector institutions requiring closed-network, on-premise deployment.
Features
- NL2SQL engine that converts natural language questions into transparent, verifiable SQL queries against enterprise databases
- Hybrid RAG engine combining vector, full-text, and graph search to retrieve and cite exact document passages in answers
- Ontology agent that ingests structured data (RDB, ERP) and unstructured data (OneDrive, chat logs) into a unified company knowledge graph
- Assetization agent that automatically extracts know-how from user-agent conversations, refines it through a self-improvement algorithm, and promotes exemplary practices to company-wide assets
- Tutorial mode with a 14-step interactive agent that teaches users SQL and platform features, with progress saved across sessions
- MCP (Model Context Protocol) server integration enabling direct tool connections and extension for high-precision analysis
- ERD visualization for database relationship mapping and interactive table/column selection during conversations
- On-premise deployment for closed networks with in-house GPU-hosted LLMs, supporting AES-256 encryption, RBAC access control, and PII masking