High-quality whitepapers, in-depth use cases, business cases, and articles on building production-grade autonomous agents on Swiss infrastructure.
Business Challenge Companies need accurate, real-time carbon footprint data across complex supply chains but rely on manual calculations and outdated reports.
Business Challenge Traditional drug discovery is slow and expensive due to sequential testing and limited cross-disciplinary collaboration.
Business Challenge The order-to-cash process in manufacturing involves multiple disconnected systems and manual handoffs, leading to delays, errors, and cash-flow issues
Business Challenge Catastrophe risk modeling for reinsurance is computationally intensive and requires rapid scenario analysis under tight deadlines.
Business Challenge Financial institutions spend significant resources on manual regulatory reporting that must meet evolving FINMA and EU requirements.
Business Challenge Teams building multi-agent systems often struggle with reliability, debugging, and scaling once agents move from prototype to production..
Business Challenge Companies need powerful retrieval-augmented generation but cannot risk data leakage to public cloud providers or third-party LLMs
Business Challenge Many organisations want to build internal AI capabilities but lack a structured approach, resulting in fragmented experiments, security risks, and slow value realisation.
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