Our team and company structure πΈ
We're a team of tech enthusiast with a joint mission to make a positive impact with AI. What does that look like in terms of structure and teams?
𧩠Our company structure and its units
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Business Development π€
Identify new business opportunities and establish and maintain successful collaborations with clients.
β€ Cloud Alliance Management
β€ Client/Industry Partnering
β€ Marketing -
Advice & Delivery π»
Offer top notch services and deliver excellence on all projects. Our Advice and Delivery Unit is devided into 7 squads that each have an outbound focus domain.
β€ Data, Software & ML Engineering
β€ Advisory & Project Management -
Solutions π οΈ
Hybrid solutions are built once and applied many. It maximizes impact by serving mainstream market at scale.
β€ Data, Software & ML Engineering
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Talent & Culture π«Ά
Hire expectional talent and accelerate their growth by fostering a unique work environment and culture.
β€ Recruitment
β€ Compensations & Benefits
β€ Growth and learning -
Finance & Insights π€
Manage the company's financial resources and assets to ensure business performance and continuity, financial health and strategic decision-making.
β€ Finance
β€ Security & Compliance
β€ Legal AI -
Incubation π
Ensure future growth by accelerating the exploration of mid to long term portfolio expansion, international expansion and differentiation opportunities.
Domains we currenly focus on π¬
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AI in Bio
Despite, decades of research, nature still holds many secrets. Today, there is an opportunity for AI to support the experts: mapping experiment input and output over very complex biological functions.
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Energy
AI can optimize resourcemanagement, enhance grid efficiency, and accelerate the transition to clean energy. This holds the key to a sustainable and greener future.
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GenAI
Generative AI describes algorithms (such as ChatGPT) that can be used to create new content based on patterns learned. LLMs are a particular type of generative AI that are trained on textual data.
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Digital Twins
A digital representation of a physical object, person, or process, contextualized in a digital version of its environment. Digital twins can help an organization simulate real situations and their outcomes, allowing it to make better decisions.
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Ops
DevOps refers to a set of practices that enable high quality delivery and continuous improvements. MLOps extends DevOps to ML systems, which comes with challenges related to the training, deployment, monitoring and tracking of models.
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Data Driven Sales
Artificial intelligence in sales and marketing is expected to unlock a new way of creating a truly customer-centric experience and will fundamentally redesign the customer journey.
