Dataguess provides AI-powered quality control and anomaly detection solutions for industrial applications. Their platform offers tools for data management, machine learning model training, and no-code/low-code development, enabling businesses to improve efficiency and accuracy in manufacturing processes.
Funding
Funding not disclosed
Founders
Product
Problem
Many industrial processes still rely on manual quality control, which is prone to human error, inconsistent, and difficult to scale. Existing automated solutions can be complex to implement, require specialized expertise, and lack the flexibility to adapt to changing production needs. This results in increased costs, reduced efficiency, and potential product defects.
Solution
Dataguess offers a suite of AI-powered solutions designed to automate and optimize quality control, data analytics, and production efficiency for various industries. Their platform includes Inspector, a computer vision solution for automated quality control, Predictor, an AI solution for data analytics, anomaly detection, and demand forecasting, and Project Studio, a no-code/low-code platform for building and deploying custom AI-powered dataflows. Dataguess's products leverage machine learning, deep learning, and computer vision to provide real-time insights, improve product quality, predict equipment failures, and optimize production processes. The platform's no-code/low-code interface allows users to easily create, train, and deploy AI models without requiring extensive programming knowledge.
Target Audience
Dataguess targets manufacturing companies across various industries, including automotive, machining, food, chemical, logistics, and energy, seeking to improve quality control, optimize production processes, and reduce costs through AI-powered automation.
Features
- **Inspector:**
- AI-powered visual defect detection, classification, and counting
- Real-time image and video analysis from production lines
- User-friendly labeling tool for training AI models
- Integration with IoT devices, PLCs, and industrial protocols (Siemens S7, Modbus TCP, MQTT)
- Customizable dashboards for managing quality control processes
- **Predictor:**
- AI-driven anomaly detection for predictive maintenance and quality
- Demand forecasting for energy consumption, order management, and production planning
- Data preparation and analysis tools for cleaning and optimizing datasets
- Built-in connectors for ERP, MES, and QMS systems
- No-code training and testing tools for AI models
- **Project Studio:**
- No-code/low-code platform for building custom AI-powered dataflows
- Drag-and-drop components for data collection, processing, and model deployment
- Integration with various data sources and IT systems
- Edge AI capabilities for real-time processing and decision-making