A new class of technology built to solve the world´s hardest problems

Powered by human intuition. Augmented by AI.

What is Hybrid Intelligence®

Hybrid Intelligence® combines the complementary strengths of human intuition and AI in solving complex tasks to continuously improve by learning from each other(Dellermann et al. 2019)

    Seamless collaboration

    Accelerate performance in solving complex tasks by combining human intuition and AI.

    Superhuman performance

    Take superhuman decisions beyond your individual knowledge and bias.

    Lifelong learning

    Continuously learn from each other in a connected cycle of improvement.

How Hybrid Intelligence® works


    Actively collect knowledge from business experts or customers and ask analysts for insights to drive continuous experimentation and learning.


    Predict the impact of every decision and model the mechanics of your industry to clearly understand critical factors driving risks, opportunities and value.


    Simulate the impact of any decision without a very time-consuming, expensive, and even dangerous trial and error in the real world.


    Optimize every decision based on simulated outcomes and real-time feedback to make sure that decisions have the intended impact every time.

Our latest research

vencortex | Research
Journal paper

Hybrid Intelligence

The seminal paper on the concept of Hybrid Intelligence®.

vencortex | Hybrid Intelligence Roundtable
Hybrid Intelligence Roundtable

vencortex® co-hosts Hybrid Intelligence Roundtable

Our CEO Dr. Dominik Dellermann is co-hosting the first Hybrid Intelligence Roundtable with participants for the global leaders in AI research and companies like Microsoft, Nesta and IBM.

vencortex | Distr@l
Distr@l Project

DeepFeat - Learning Embeddings for Multi-Modal Data

vencortex is excited to announce that our team received another grant funding for R&D of our decision augmentation technology by the Hesse Distr@l grant.

vencortex | LOEWE3
LOEWE3 Project

InnoGen - Data Simulation with Deep Generative Models

vencortex is excited to announce that our team received another grant funding for R&D of our decision augmentation technology by the LOEWE3 excellence grant.

vencortex | Research
Industry Report

The 5th Wave of CVC is Coming

Get insights from experts from PKN ORLEN S.A. , Skyrise.tech, Infoshare Capgemini, vencortex and Schaeffler that share their experience on the next wave of corporate venturing.

vencortex | Research
Research paper

Modelling the Intelligent Enterprise with Symbolic Embeddings

Using conceptual embeddings for an AI-driven approach to business model architectures.

vencortex | Research
Conference paper

Finding the Unicorn

Predicting Early Stage Startup Success through a Hybrid Intelligence® Method

vencortex | Research

Accelerating Entrepreneurial Decision- Making with Hybrid Intelligence®

Design Paradigms and Principles for Decision Augmentation

vencortex | Research
Conference paper

The Future of Human-AI Collaboration

A design approach to develop decision augmentation for the intelligent enterprise

vencortex | Research
Journal Paper

Collective Intelligence for Decision Support

The potential of collective intelligence and crowdsourcing for opportunity creation

vencortex | Research

Hybrid Intelligence for the AI-powered enterprise

The data-driven enterprise is one of the most disruptive trend. The phenomenon is fueled by new technological developments in the field of AI to automate and augment their decision-making processes.



Enterprise-grade data security and AI safety

To maximize the business impact of AI in your organization, our team is working on the latest technologies for ensuring privacy and security, such as:

  • Federated learning

    Federated learning is a type of remote execution wherein our models are sent to your enterprise IT structure for local training. This eliminates the need to store your sensitive training data on our servers and allows us to provide you with high-performing models. Moreover, shared learning can be leveraged across customers to accelerate the performance of our models while keeping personalization.

  • Encrypted computation

    Encrypted computation provides us with the capability to keep our computations secret even if they run on client infrastructure. All models stay encrypted to allow serving multiple clients without the need to open up details on the model or the ability to steal it.

  • Differential privacy

    Differential privacy is a technique that highly improves the anonymization of data and makes sure that even if data was accessible, the private information that I may leak remains minimal

Security features

At vencortex, we are committed to the highest level of transparency, trust, and regulatory compliance. We dedicate special attention to information security and corporate governance at every level of the organization to keep your data safe at any time. Therefore, we are working on latest technologies such as:

  • Homomorphic encryption
  • Multi-party computation
  • Federated learning
  • Client side prediction
  • Automatic differential privacy

It’s time to break through

vencortex is profoundly improving how the world makes strategic decisions and interacts with data - for analysts, managers, executives, and every business decision-maker in the next generation of businesses.