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Welcome to Inpaqt

Innovation According to Inpaqt

In the Age of Innovation, digital transformation is reshaping industries.

Success depends on rapid learning and innovation across technology, processes, and business models. Inpaqt helps organizations accelerate learning with smart decision-making tools for the digital age.

About Us

Our Vision

Inpaqt delivers AI-powered Decision Support Systems to help organizations make complex decisions in dynamic environments. Our solutions span Business Analytics (including Customer and HR Analytics) and Medical Diagnostics.At the heart of our approach is Hyperlearning, which integrates machine learning, experiential learning, organizational learning, and scientific experimentation to drive smarter insights and decisions.We collaborate with a diverse network of partners—from research groups to industry leaders—positioning Inpaqt as a hub for Transformation, innovation, Improvement and technological advancement.

D

Data-Driven

T

Transformation

I

Innovation, Improvement &

M

Management

E

Engine

Inpaqt:
Helping Organizations Adapt Quickly and Effectively with
D-TIME

Data-Driven Approach

Data becomes valuable information through models, which must produce trusted results. Transparency in AI is key to addressing discrepancies by refining models or data through experimentation when predictions diverge from reality.

Transformation, Innovation, Improvement & Management

Effective transformation starts with a thorough diagnosis to identify organizational bottlenecks and determine targeted improvements.

Engine

Management must maintain control and oversight, understanding proposed actions and making informed decisions. They should monitor progress and determine the next steps effectively.

Our
Story

Get to Know Us

Inpaqt was founded in 2001 by Prof. Dr. Felix Janszen to test innovation management theories. With a background in experimental sciences, he created mind mapping tools for stakeholder analysis and customer value propositions. These tools improved communication between diverse groups, even when their language differed.

Over the years, Inpaqt's tools have evolved, helping organizations from startups to large corporations like Shell, Unilever, and Dutch banks. In 2012, the software became cloud-based (SaaS), and in 2015, it incorporated machine learning to become more data-driven. Inpaqt's AI models, based on Bayesian Statistics, are designed to be transparent and understandable, ensuring users can experiment and understand cause-effect relationships.

Today, Inpaqt’s IMS SAAS solution supports innovation, transformation, and change management by facilitating continuous learning loops, diagnosis, solution application, and progress monitoring, involving all relevant stakeholders throughout the process.