Learning
We make complex AI topics understandable, relevant and applicable for different roles, from employees and power users to leaders and technical teams.
Capability that works in practiceAbout Dreamleap Academy
Helping organisations turn AI into everyday capability.
We bring together AI expertise, learning design, business transformation and implementation experience to help organisations build the skills, use cases and structures needed for responsible AI adoption.
17'000+ people trained
150+ clients
Since 2019
DE · EN · FR · IT
People-first AI enablement with practical impact.
We combine strategy, learning and implementation support to help organisations build AI capability responsibly, collaboratively and with clear business value.
Why we exist
AI transformation is not just a technology challenge.
Giving people access to AI tools is only the beginning. Organisations need the skills to use them, relevant use cases to create value and the structures to scale what works.
Dreamleap Academy connects these elements through practical training, use case discovery, adoption and strategic AI transformation. Our work is designed around real teams, real processes and the decisions organisations need to make next.
From AI awareness to AI-first organisation, we help companies move from understanding the technology to applying it with confidence and measurable business value.
What makes us different
Learning, business and implementation belong together.
AI capability becomes useful when people understand the tools, connect them to business challenges and know how to turn promising ideas into working solutions.
Business
We connect AI to real roles, processes, use cases and measurable business value so organisations can prioritise where AI should create impact.
From ideas to prioritiesImplementation
Through the wider Dreamleap ecosystem, we understand what it takes to turn use cases into agents, workflows and secure solutions that can be operated and scaled.
From concept to executionDreamleap Team
The people building and enabling practical AI.
Our team brings together company leadership, AI engineering, product, consulting and customer success. The Academy is complemented by a wider network of trainers and specialists.
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Founder & CEO
Nina Habicht
Leads Dreamleap across applied AI, strategy, enablement and business transformation.
Explore Nina’s profile AM
Co-Founder & CTO
Andreas Meier
Leads technology, engineering and the development of scalable AI products and infrastructure.
JH
COO & Head of Academy
Julia Herz
Leads Academy operations, AI enablement programmes and the connection between learning, adoption and business transformation.
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Agentic Engineer
William Senn
Works on agentic AI systems, automation and technical implementation.
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AI Engineer
Laura Scipione
Works on applied AI engineering, machine learning and technical AI implementation.
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AI Hardware Engineer
Dumeni Manatschal
Works at the intersection of AI systems, hardware and technical infrastructure.
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Agentic Engineer
Matthew Aylward
Builds agentic AI applications and supports the implementation of productive AI workflows.
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AI Consulting & Product Management
Samuel Hefti
Connects AI consulting, use cases and product development with practical client needs.
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Customer Success
Michela Parata
Supports clients throughout onboarding, adoption and the ongoing use of Dreamleap solutions.
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AI & Data Advisor
Nitin Kumar
Advises on AI, data and the organisational foundations needed for successful implementation.
Academy Trainers & Expert Network
Specialist expertise when the challenge requires it.
Alongside the Dreamleap team, we work with experienced trainers and specialists across creative AI, strategy, transformation, law, leadership, financial services and emerging technologies.
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Denis Klook
AI Art, Generative Visuals & Creative AI Training
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Lisa Weinzierl
AI Strategy, Data Science & Enterprise AI
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Arthur Habicht
AI Advisory, Machine Learning & Entrepreneurship
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Kevin Shields
Digital Transformation & Change Management
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Henri Estramant, LLM.
International Business Law, AI & Cybersecurity
IW
Prof. Dr. Isabell Welpe
Strategy, Organisation, Leadership & Digital Transformation
JH
Johannes Hoellerich
AI in Banking, Finance, Insurance & Emerging Tech
How we work
Practical, collaborative and built around your organisation.
Our work is designed to create confidence, clarity and momentum, without separating learning from the business challenges that matter.
Business first
We start with real business challenges and desired outcomes, not AI for its own sake.
Learn by doing
Training and workshops are designed around practical application, exercises and real work situations.
Independent perspective
We focus on the tools, approaches and operating models that fit the organisation and use case.
From learning to implementation
We connect capability building with use cases, workflows, governance and organisational change.
Responsible AI
Responsible adoption is part of how we work.
AI adoption should be practical, inclusive and responsible. That means considering people, governance, security and long-term organisational impact alongside technology and business value.
01
People
Build confidence, skills and adoption across different roles and levels of experience.
02
Governance
Make secure, responsible use part of enablement, decision-making and implementation.
03
Business value
Prioritise AI where it can improve work, create measurable value and support strategic goals.
Trusted across industries
Working with organisations where AI needs to work in the real world.
Our clients span financial services, industry, public sector, real estate, education, legal, technology and consumer businesses.
Your next step
Let's find the right starting point for your AI journey.
Whether you are building AI literacy, introducing Copilot, identifying use cases or shaping a broader transformation, we can help you define the next practical step.
Once you add "General Consultation" as a fifth Consultation Topic in HubSpot, the shared form can be embedded here with that value.