AT A GLANCE

6 MONTH PROGRAMME

2 COHORTS: SEPT '23 AND MARCH '24

ONLINE & IN-PERSON NETWORKING EVENTS

ACCESS TO ALL INAM EVENTS

DEDICATED TRAINING AND MENTORING

The only Incubation Programme for innovators in
ADVANCED MATERIALS

The Advanced Materials Lab (AdMaLab) is a programme designed by Berlin's leading players in the field of material science innovation: Humboldt University and INAM, especially designed for entrepreneurs and researchers looking to commercialise new material science ideas from the lab.

AdMaLab provides:

co-working spaces in Berlin Mitte
training on IP strategy, investment and funding opportunities, business strategy, finance, setting up and running a company, investor readiness,
technical & business mentoring supported by Humboldt Innovation GmbH and experts from the INAM ecosystem
pitch training and networking

A jury from business and academia will be selecting individual innovators and early stage startups with a convincing idea and plan to develop it to join our intensive AdMaLab programme and learn how to take their innovative technologies to the next level.

For further information regarding selection criteria, please contact us at info@inam.berlin.

We apologise that we cannot make any pre-assessments of the suitability of your technology. Please submit your rough idea through the application form.

We will be considering applications for programmes starting on

1 September 2023 (Application deadline: 04 August 2023) and
1 March 2024 (Application deadline: 31 January 2024).

ADMALAB PARTICIPANTS

Ucaneo Biotech

Capturing CO2 from air leveraging biocatalysis in a bioreactor unit. CO2 can be stored (selling carbon credits) or processed (selling CO2 feedstock).

Meloon

Meloon filters environmentally harmful carbon dioxide from flue gas and produces Graphene from it as a raw material.

ElecMATS

ElecMATs develops ink formulations and electrode materials for high-capacity batteries that are longer-lasting, flexible, and durable.

CleverAI

Clever AI is developing machine learning based artificial intelligence.

FaradaIC Sensors

Miniaturizing gas sensors to enable new sensing possibilities.

Ucaneo Biotech

Capturing CO2 from air leveraging biocatalysis in a bioreactor unit. CO2 can be stored (selling carbon credits) or processed (selling CO2 feedstock).

Meloon

Meloon filters environmentally harmful carbon dioxide from flue gas and produces Graphene from it as a raw material.

ElecMATS

ElecMATs develops ink formulations and electrode materials for high-capacity batteries that are longer-lasting, flexible, and durable.

CleverAI

Clever AI is developing machine learning based artificial intelligence.

LEARN MORE

WHO WE SUPPORT

EARLY STAGE VENTURES

STARTUP IDEAS IN MATERIALS SCIENCE

JOIN FROM ANYWHERE

The Advanced Materials Lab

NEXT EDITION: MARCH 2024

EARLY STAGE TAILORED SUPPORT IDEA to STARTUP

BERLIN BASED

The AdMaLab programme includes a support package to set-up a company in Berlin, including temporary a temporary office in a co-working space.

The AdMaLab programme extends beyond just financial support with a dedicated support team, mentorships and workshops!

IDEA TO STARTUP

Learn how to go from research idea to startup by validating your business model and finding the right industry connections.

TAILORED SUPPORT

WHY APPLY?

TAILORED MENTORSHIP

Receive one-on-one support on product and business development and IP guidance from our extensive INAM network of experts.

IP STRATEGY ADVICE

Handling your IP is key in the initial stages of your venture, securing the right to commercialise your innovations. At AdMaLab you will have the chance to talk to legal and strategic experts on how to develop a solid IP strategy from the start.

Co-WORKING AND TECHNICAL MENTORING

Intellectual property is the most valuable assets of a materials science startup. You will be mentored by IP experts and lawyers.

MARKET FIT

NAVIGATION

In an era defined by unprecedented levels of dynamism and technological innovation, your organization’s success depends on how it can anticipate market needs and adapt solutions to key decision-making criteria.

IN CO-OPERATION WITH