Funding
Funding not disclosed
Founders
Product
Problem
Industrial businesses face challenges in optimizing operations and leveraging data for growth, often hindered by manual processes and a lack of advanced analytical capabilities. This limits their ability to achieve higher productivity, reduce operational overhead, and identify new revenue streams.
Solution
Smartbi provides tailored AI and analytics solutions designed to enhance operational efficiency and drive data-informed business development for industrial companies. By integrating machine vision, natural language processing, and predictive modeling, Smartbi enables automation of resource-intensive tasks and optimization of production processes. Their approach focuses on delivering practical, effective solutions that address specific client needs without creating vendor dependencies. This allows businesses to unlock new opportunities through data-driven products and services, improve customer satisfaction with intelligent solutions, and enhance production through predictive maintenance.
Target Audience
The primary target audience includes industrial businesses, energy sector companies, and healthcare organizations seeking to improve operational efficiency, automate processes, and leverage data for strategic decision-making and growth.
Features
- Development of tailored AI and analytics solutions utilizing predictive applications, machine vision, and natural language processing (NLP).
- Implementation of predictive applications for forecasting malfunctions, equipment maintenance, sales, demand, and wastage.
- Application of classification models for malfunction type identification, fraud detection, and natural damage factor forecasting.
- Utilization of clustering techniques for sales lead segmentation and intelligent customer segmentation.
- Deployment of computer vision for object identification in automated image-based reporting, access control management, and safety equipment monitoring.
- Application of image classification for production chain quality control.
- NLP capabilities for text classification in ticketing automation (customer service, feedback, reporting) and sentiment analysis for customer feedback and chatbot development.
- Development of Generative AI solutions to improve employee efficiency and drive product innovation.
- Conducts development sprints (AI, Data, Analytics) to map, prioritize, and plan data-driven projects within a two-week timeframe.
- Expertise in IT/OT convergence for integrated business insights and AI-guided processes with loopback capabilities.
- Focus on augmenting human capabilities with AI agents for tasks like maintenance planning and root cause analysis.
- Offers end-to-end solution and integration architecture, including cloud (Azure, AWS) and edge deployments.
- Provides data collection, engineering, analysis, tailored ML algorithm development, and model validation.
- Employs human-centered design for need assessments, concept development, and UI/UX design.