process.science
بواسطة process.science GmbH & Co. KG
process.science GmbH & Co. KG is a leading German technology company that has carved a niche in the hyper-competitive process mining market by focusing on Business Intelligence (BI) integration. Headquartered in Hamburg and Dortmund, the company operates with a vision to make process mining a seamless, real-time part of everyday business operations. Rather than positioning itself as a standalone platform, process.science has strategically aligned with major ecosystem players like Microsoft and Qlik. This market position allows them to target organizations that already use Power BI or Qlik Sense as their single source of truth. By removing the need for a separate 'Process Mining Center of Excellence' infrastructure, they have successfully differentiated themselves as a pragmatic, high-ROI alternative to traditional process mining vendors. The company is recognized for its technical agility and its ability to handle complex data structures while maintaining a user-friendly, 'out-of-the-box' implementation experience.
The company was founded in 2019 in Dortmund, Germany, by Christian Erfeling and Lucas Söding. The founders identified a significant gap in the market: while process mining offered immense value, it was often too expensive and difficult to implement due to the siloed nature of existing solutions. Their goal was to develop a tool that could be 'plug-and-play' for companies already invested in Business Intelligence. Early on, the company focused on building robust event log transformers that could handle the messy, high-volume data typical of ERP systems. This technical focus, combined with a strategic decision to build specifically for Microsoft Power BI and Qlik Sense, allowed process.science to rapidly gain traction. The founding team’s vision has evolved from a simple visualizer to a comprehensive 'Process Intelligence' suite that incorporates AI and automated ETL, positioning them at the forefront of the 'Integrated Process Mining' movement.
process.science has largely followed a sustainable growth path, supplemented by strategic acceleration and investment rounds. In 2024, the company was selected for the German Accelerator program, which provides internationalization support and access to a global network of mentors and investors to help German startups scale in the US and Asia. Additionally, they received backing through the AI.STARTUP.HUB in Hamburg, a program focused on advancing AI-driven technology companies. While specific private valuation figures are not publicly disclosed, the company raised venture capital to fuel its R&D into AI-enhanced process mining features. Their funding strategy has prioritized strategic partnerships and product-led growth, allowing them to remain independent and focused on their core mission of BI-native process intelligence while scaling their global sales and partner network.
The product portfolio of process.science is meticulously structured around the 'Process Analyzer' core. The primary offering is the Process Mining Visual for Power BI and Qlik Sense, which comes in Basic, Pro, and Enterprise editions. Beyond the visual itself, the company provides 'Event Log Transformers'—essential components that perform the heavy lifting of data preparation within the BI environment. For enterprise clients, the company offers specialized 'Content Packs' which are predefined, industry-validated dashboard sets for processes such as Procure-to-Pay, Order-to-Cash, and Inventory Management, specifically optimized for SAP and Microsoft Dynamics 365. Recently, they expanded their offerings to include 'Task Mining' capabilities, allowing customers to capture desktop-level user interactions and merge them with system-level process mining data for a 360-degree view of operational efficiency. This suite of interconnected tools ensures that users can move from raw data to actionable insights without leaving their primary analytics platform.
Originally a German-centric provider, process.science has rapidly expanded its geographic footprint and partner ecosystem. A major milestone in their expansion was the establishment of a strategic partnership with Konekti, a specialized data preparation platform, which enhanced their ability to support complex global data projects. They have a strong presence in the Microsoft Marketplace (AppSource) and the Qlik Gallery, which has facilitated customer acquisition across North America, Europe, and the Middle East. The company has also built a robust Global Partner Portal, enabling consulting firms and system integrators worldwide to deploy process.science solutions. Their current expansion strategy focuses on deepening their 'AI-first' roadmap and increasing their local presence in key markets like the United States and the GCC region through dedicated channel partners, ensuring that their German engineering expertise is accessible to a global audience.
In the last 18 months, process.science has introduced several groundbreaking features that have redefined its capabilities. The most notable is the integration of an 'AI Chat Bot' within the Enterprise edition, which allows business users to ask questions about their processes in natural language (e.g., 'Show me the bottlenecks in the US region for June') and receive instant visual and textual answers. They also launched a sophisticated 'Task Mining' component that records user activities on the desktop to complement system-level data. Other recent updates include enhanced 'Swim Lane' diagrams for organizational analysis, improved connectors for Microsoft Dynamics 365, and a new high-performance engine capable of processing significantly larger event logs without performance degradation. These features demonstrate a shift from pure visualization toward 'Actionable AI,' where the software proactively identifies process risks and suggests optimizations.
The company culture at process.science is defined by its roots in German engineering—prioritizing precision, transparency, and technical excellence. The work environment is described as innovation-driven, where small, agile teams work closely with founders to solve complex data challenges. They place a high value on 'Customer Commitment,' ensuring that their product updates are directly influenced by user feedback and real-world pain points. The company supports a flexible, modern work environment, often employing a hybrid model that blends their Hamburg/Dortmund offices with remote talent. There is a strong emphasis on continuous learning, which is exemplified by the 'Process.Science Academy,' where employees and customers alike are encouraged to master the latest in data science and BPM methodologies. This culture of expertise over hype has helped them maintain a high level of trust among their enterprise clients.
process.science has cultivated a growing community of process mining professionals through various engagement initiatives. They are active participants in international conferences, most notably the International Conference on Process Mining (ICPM), where they present the latest research on BI-integrated mining. The 'Process.Science Academy' is their flagship community initiative, offering free, self-paced certification programs for analysts and data engineers. This academy has trained thousands of users, creating a global network of 'Process.Science Certified' professionals. Additionally, they maintain a presence on LinkedIn and other professional forums where they share 'best practice' dashboards and process templates. Their community engagement strategy is focused on knowledge sharing, providing users with the skills needed to transform raw data into process improvements, rather than just selling software licenses.
