We see the transformational power of artificial intelligence, which is why we strive to build AI solutions and ventures that leave a positive impact on society.
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We believe that AI will be the most transformative general purpose technology of the 21st century
We build sustainable and ethical AI businesses
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We unlock the potentials of AI through a multidisciplinary approach
We share our knowledge
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We are a team where everyone has true ownership
SiaSearch The smart data refinery
SiaSearch is building machine learning-powered systems to automatically identify and tag the most relevant scenes in petabytes of raw driving data. Their intelligent filters help developers to access the data they need without manual effort.
Vara is building machine learning-based web solutions that perform automated diagnoses on radiological images. Their breast cancer product detects and separates unsuspicious mammograms at very high confidence.
Merantix Momentum develops and integrates machine-learning software solutions for SMEs and large corporations. They have the expertise and the execution power needed to integrate AI solutions into your business in order to fuel innovation in your products and services.
The team at Cambrium is leveraging machine learning to design proteins and the cells that produce them. They are building a highly automated protein optimisation lab to create new biomaterials at breakneck pace.
Briink is on a mission to leverage the scale of AI to help companies navigate the increasingly complex array of sustainable finance policy and accelerate the corporate transition to net zero
Despite millenia of knowledge regarding the therapeutic potential of plants, more than 99% of the small molecules within this kingdom of life remain unexplored. Terra Lumina is on a mission to empower a healthier humanity by unlocking the therapeutic potential of nature.
Kausa is enabling businesses to instantly understand KPI changes and boost data-driven decision making. They are building a machine learning powered platform to test millions of hypotheses and deliver more accurate explanations for shifting metrics.
