GREYWIZ
Dhimath provides conversational AI tools that extract and deliver insights from unstructured enterprise data, enabling faster decision‑making across manufacturing and engineering. Its platform integrates AI, data analytics, and automation to turn raw production information into actionable intelligence, helping companies streamline processes, improve efficiency, and uncover hidden patterns in their operations.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Industrial Automation
- Manufacturing / Industry 4.0
Funding
Founders
Product
Problem
Manufacturers and engineering firms often struggle to extract actionable information from large volumes of unstructured data such as manuals, logs, and sensor feeds, leading to delayed decision‑making and inefficient shop‑floor operations.
Solution
Dhimath offers an AI‑first platform that converts unstructured enterprise data into real‑time insights for Industry 4.0 environments. Its Conversational AI module enables users to query legacy documents and knowledge bases instantly, delivering precise answers without manual searching. The FloorOps component digitizes shop‑floor activities, capturing production data without paper and providing live analytics for immediate process adjustments. Dataraft adds a predictive intelligence layer that analyzes aggregated data to surface hidden patterns, forecast performance issues, and recommend optimization actions. Together, these tools create a seamless flow from data ingestion to actionable intelligence, helping manufacturers accelerate efficiency and reduce downtime.
Target Audience
Primary customers are manufacturing and engineering organizations seeking to modernize operations, including plant managers, process engineers, and digital transformation teams within automotive, heavy‑industry, and high‑tech production facilities.
Features
- Conversational AI interface that understands and retrieves information from unstructured documents, manuals, and logs
- Paperless shop‑floor monitoring that automatically captures machine and operator data in real time
- Live analytics dashboards delivering instant visibility into production metrics and bottlenecks
- Predictive intelligence engine that identifies hidden correlations and forecasts equipment or process failures
- Integration framework for connecting existing MES, ERP, and IoT systems to a unified AI‑driven data layer
- Automated alerting and recommendation system that suggests agile actions to improve throughput and quality