Process.Science

What Process.Science does

Process.Science is a Hamburg, Germany-based private software company, founded in 2019, that provides process mining software embedded natively into leading Business Intelligence platforms — Microsoft Power BI, Qlik Sense, and Tableau — rather than as a standalone product. The company's core engine, Process.Science Intelligence (PSI), ingests event log data from customer ERP and operational systems to discover, visualize, and benchmark business processes, identify bottlenecks, and surface compliance deviations, with all data remaining on the customer's premises to preserve data sovereignty. Complementary modules include IoT Miner (Industry 4.0 integration of sensor data with process mining) and a Data Preparation Tool that automates ETL for process mining projects. The solution is certified ISO 27001 and GDPR-compliant.

The company sells on a quote-based annual subscription model with three complementary go-to-market motions: product-led growth (free trial, self-service portal, Academy), enterprise field sales ('Book a Demo' / 'Speak with an Expert'), and a channel of implementation partners including akquinet, Bartels Consulting, Crossnative, and Innflow AG. Its customer base spans approximately 16+ named enterprise references across more than ten verticals, including Merck KGaA (pharma), Rio Tinto (mining), Liebherr (manufacturing), Otto and E. Breuninger (retail), Helvetia (insurance), Stadtwerke Köln (utilities), and the City of Hamburg (public sector). The company operates with 11–50 employees, reports no disclosed institutional funding, and claims an average payback period of approximately six months for customers.

Name

Process.Science

Legal name

Process.Science

Website

https://process.science

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Process.Science is a Hamburg-based private software company that provides process mining software embedded natively inside Microsoft Power BI, Qlik Sense, and Tableau, serving mid-market and enterprise customers across pharma, manufacturing, retail, insurance, and public sector.

Ownership category

akta.pro rank

Product category

Process Mining Software

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Computer Programming Services (7371), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Process Mining & Task Mining Platforms (HDAEAHAD)

akta.pro secondary industry

Process Mining, Predictive Process Analytics & Automation Intelligence (HDAAAHAJ)

Keywords

• Process mining software
• Business intelligence integration
• Process analytics
• Data preparation automation
• Industry 4.0 mining

Headquarters

HQ city

Hamburg

HQ country

Germany

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Others

Revenue model

1. Software Licensing / Subscription: Process.Science sells its Process Mining software as an integrated solution within existing BI platforms. Given the product-led and subscription-oriented nature of enterprise BI tools (Power BI, Qlik Sense, Tableau), revenue is generated primarily through software licenses or subscriptions. Pricing is quote-based and tailored to customer scope and BI platform.
2. Professional Services & Implementation: Implementation, training, and consulting services support the software deployment. The company offers Academy training, events, webinars, and partner-enablement programs. The FAQ indicates proof-of-concept (POC) engagement within 1-2 days of initial setup.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels8 records

Core offering

Process.Science sells a process mining software engine that integrates natively and 100% into existing Business Intelligence platforms (Microsoft Power BI, Qlik Sense, Tableau). The engine consumes event log data from customer ERP and business systems to discover, visualize, and benchmark processes, identify bottlenecks, and surface compliance violations, all without requiring data to be uploaded to an external cloud. Complementary offerings include an IoT Miner for Industry 4.0 environments and an automated Data Preparation Tool for ETL of event logs.

Product overview

Process.Science is a process mining software provider that offers a platform-plus-native-integrations architecture. The core product is Process.Science Intelligence, an automated process mining engine, which is delivered as native connectors for three major Business Intelligence platforms: Power BI, Qlik Sense, and Tableau. Additional modules include IoT Miner (for Industry 4.0 IoT data integration) and the Data Preparation Tool (for automating event log data extraction and transformation). All solutions integrate natively into existing BI environments without requiring data to be uploaded to external clouds.

Differentiator

Problem solved

Functional benefit

Brands

• Power BI Integration: Integration of Process.Science Process Mining in Power BI
• Qlik Sense Integration
• Tableau Integration
• Process.Science Intelligence
• IoT Miner
• Data Preparation Tool

Products and services

• Process.Science Intelligence (PSI)

Quantifiable outcome

• Measurable savings typically uncovered within 4 weeks during a proof of concept
• +2 more outcomes

Named customers16 records

Segments10 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability2 records

Feature6 records

Partnerships

Eight partnerships are on record, tiered core and minor.

• Innflow AGcoreStrategic or Co-development Partner · 21 May 2026Process.Science announced a strategic partnership with Innflow AG in May 2026. Innflow AG is a consulting and implementation partner that will leverage Process.Science's Process Mining capabilities to deliver process optimisation services to its client base. The partnership extends Process.Science's go-to-market reach, particularly in the DACH enterprise market.
• Microsoft (Power BI)coreTechnology or IntegrationProcess.Science integrates its Process Mining engine natively within Microsoft Power BI as a certified integration. This is a core product integration that enables Power BI users to perform Process Mining directly within the Power BI environment. The partnership provides distribution through Microsoft's BI ecosystem and leverages the existing Power BI user base.
• QlikcoreTechnology or IntegrationProcess.Science integrates its Process Mining engine natively within Qlik Sense as a certified integration. This core product integration enables Qlik Sense users to perform Process Mining within their existing analytics environment, extending Qlik's process analytics capabilities.
• TableaucoreTechnology or IntegrationProcess.Science integrates its Process Mining engine natively within Tableau as a certified integration. This enables Tableau users to add Process Mining capabilities to their existing Tableau workflows without switching tools.
• akquinetcoreImplementation/ SI/ Consulting Partnerakquinet is a consulting and IT services firm listed as a reference partner that uses and sells Process.Science products. akquinet deploys Process.Science solutions for end customers as part of its consulting engagements, functioning as a key implementation partner in the DACH region.
• Bartels ConsultingminorImplementation/ SI/ Consulting PartnerBartels Consulting is listed as a reference partner that implements Process.Science solutions for clients. Functions as a consulting partner deploying Process.Science for process optimisation engagements.
• CrossnativeminorImplementation/ SI/ Consulting PartnerCrossnative is a digital consulting firm listed as a reference partner that sells and implements Process.Science products. Specialises in digital transformation consulting engagements.
• German AcceleratorminorGTM or Marketing PartnerProcess.Science was accepted into the German Accelerator programme, which provides mentorship, networking, and internationalisation support for high-potential German startups. This partnership helps Process.Science access global markets and build strategic connections.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Celonis: Global market leader in process mining and execution management. Direct competitor to Process.Science with a standalone process mining platform, but Process.Science differentiates by embedding natively inside BI tools versus Celonis's standalone architecture.
• Disco (by Fluxicon): Process mining tool focused on ease-of-use and fast time-to-value, popular with mid-market and academic users. Comparable to Process.Science as a focused process mining vendor, though Disco is typically used as a standalone tool rather than embedded in BI platforms.
• ABBYY Timeline: Process mining and task mining platform with emphasis on document-centric process discovery. Competes for the same enterprise process intelligence budget as Process.Science across similar verticals including financial services and insurance.
• Minit (now part of Microsoft Power Automate): Process mining vendor acquired by Microsoft and integrated into Power Automate Process Mining. Direct competitor that benefits from Microsoft's Power Platform distribution — a key competitive threat to Process.Science's Power BI integration.

Broad incumbents

• UiPath Process Mining: Process mining capability bundled inside the UiPath hyperautomation platform. Comparable because it offers the same core process intelligence functionality, but sold as part of a broader RPA and automation suite rather than as a standalone process mining tool.
• SAP Signavio: Enterprise process management and mining suite acquired by SAP. Comparable to Process.Science in the process discovery and analysis layer, but sold primarily as part of SAP's broader transformation suite to large enterprise customers.
• ARIS Process Mining (by Software AG): Process mining offered within Software AG's ARIS business process analysis platform. Comparable in process discovery and conformance checking, but positioned as part of a broader BPM suite typically sold to large enterprises.
• IBM Process Mining: Process mining module within IBM Cloud Pak for Business Automation. Comparable process intelligence functionality targeting large regulated enterprises, but delivered as part of IBM's broader automation and AI portfolio.

Others

• Qlik: BI platform partner and technology provider — and also a potential competitor, as Qlik offers its own analytics capabilities that could overlap with Process.Science's Qlik Sense integration value proposition.
• Microsoft Power BI: BI platform partner and core distribution channel for Process.Science's largest product. Also a competitive threat through Power Automate Process Mining (built on the acquired Minit technology) — making Microsoft both Process.Science's biggest partner and a structural risk.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• YouTubeyoutube.com/@processscience/videos
• LinkedInlinkedin.com/company/process-science

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Process.Science