Deep Impact AG

AI strategy including use-case identification, ROI modeling, prioritisation and roadmap; including process analysis, data landscape, governance model, and recommendations on Build vs. Buy and On-Prem vs. Cloud.

AI implementation and integration into existing IT landscapes, including model training, data pipelines, API integration, MLOps, monitoring, and security and data-protection architecture.

AI process automation for recurring, rule-based and semantic tasks; document classification, data extraction, inbox processing, onboarding, reporting, multilingual correspondence and support triage.

AI agents for multi-step tasks with planner, tool layer, memory and guardrails; focused on research, data preparation, support triage and operator assistance with human-in-the-loop.

AI research with practical relevance, including computer vision, biometric identification, speech and document understanding, agentic systems and retrieval-augmented generation; including university collaborations and Innosuisse projects.