The startup develops a value stream mining system that utilizes bots to analyze business processes by identifying deviations in costs and timelines. This technology enables clients to enhance operational efficiency and mitigate risks by providing insights into compliance with process models.
Funding
$560K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle to gain a comprehensive understanding of their end-to-end business processes due to fragmented data across multiple systems and a lack of tools to visualize and analyze process flows. This limited visibility hinders efforts to identify bottlenecks, inefficiencies, and deviations from established process models. Consequently, organizations face challenges in optimizing operations, reducing costs, and ensuring compliance.
Solution
Inverbis provides a value stream mining platform that leverages process mining techniques to analyze and visualize business processes from start to finish. By connecting to various data sources and applying intelligent algorithms, the platform automatically discovers and maps process flows, identifies deviations, and quantifies the impact of inefficiencies. The solution offers an end-to-end view of the value chain, enabling users to pinpoint areas for improvement, optimize resource allocation, and ensure adherence to process standards. With its user-friendly interface and pre-built filters, Inverbis empowers business users to easily analyze processes and drive data-driven decisions without requiring specialized data science expertise.
Target Audience
Inverbis targets organizations across various industries seeking to improve operational efficiency, reduce costs, and ensure compliance through data-driven process analysis.
Features
- Automated process discovery and visualization from diverse data sources
- Real-time monitoring of process performance and identification of bottlenecks
- Root cause analysis of process deviations and inefficiencies
- Customizable dashboards and reports for tracking key performance indicators (KPIs)
- Data virtualization capabilities for seamless integration with existing IT infrastructure
- Flexible APIs and connectors for easy data ingestion
- User-friendly interface with pre-built filters and query language
- Role-based access control to ensure data security and compliance