AI & Machine Learning Company in Munich

A Munich ML engagement is sized by where the model has to plug in: a scoped AI proof of concept at Munich rates, a custom production ML model (predictive maintenance, claims triage, computer vision quality inspection), or full production AI systems with RAG, multiple models, fine-tuning, and SAP or Siemens MindSphere integrations. Scope drivers include data audit, a baseline model, and a hosted demo on AWS eu-central-1 or Azure Germany West Central. Munich rates sit above Berlin and Hamburg because of the Siemens, BMW, and Munich Re talent premium and the AppliedAI Institute graduate scarcity. We give Festpreis proposals in EUR (or USD on request) rather than open-ended T und M, with milestone invoicing under standard German BGB contracts.

The EU AI Act entered into force on 1 August 2024, with prohibited-practice rules applying from February 2025, general-purpose AI obligations from August 2025, and full high-risk system obligations from August 2026. Annex III lists high-risk uses including credit scoring, life and health insurance pricing, employment, biometric identification, critical infrastructure, and safety components of products under existing EU harmonised legislation (which captures most BMW, Siemens, and Infineon work). High-risk obligations include a risk management system, data governance, technical documentation, logging, transparency, human oversight, accuracy and robustness testing, and a conformity assessment via a notified body. Our discovery phase runs an EU AI Act classification and our build phase produces the Annex IV technical documentation, the post-market monitoring plan, and the EU Database registration for stand-alone high-risk systems. Penalties top out at EUR 35M or 7 percent of global turnover for prohibited-practice breaches.

Yes. We ship claims triage, fraud detection, underwriting, catastrophe modelling, and customer service AI for Versicherer and Rückversicherer including the Munich Re and Allianz pattern. For BaFin-regulated clients we stay inside EU regions (Azure Germany West Central, AWS eu-central-1 Frankfurt), apply BaFin VAIT (Versicherungsaufsichtliche Anforderungen an die IT) and MaRisk Versicherung controls, and produce the Solvency II model validation pack the internal Aktuariat and external auditors need. Models intended for pricing or underwriting decisions are classified as high-risk under the EU AI Act Annex III, so we ship them with a notified body conformity assessment plan, an EIOPA-aligned governance document, and IDD product oversight and governance (POG) disclosures. Output logs feed existing SIEM and the BaFin-mandated incident reporting workflow.

Munich automotive AI sits at the intersection of ISO 26262 (functional safety), ISO 21448 (SOTIF — safety of the intended functionality), UNECE WP.29 R155 (cybersecurity) and R156 (software updates), and KBA Type Approval. The EU AI Act treats safety components of vehicles as high-risk, so the AI-specific conformity assessment stacks on top of the existing Type Approval regime rather than replacing it. We build perception, sensor fusion, driver monitoring, and behaviour prediction models with full V-Model documentation, run scenario-based testing against PEGASUS-derived catalogues and OpenSCENARIO files, and produce ASIL decomposition arguments your safety case can defend in front of KBA and TÜV. We coordinate with your AUTOSAR Adaptive integration team and ship model artefacts compatible with QNX, Linux real-time, and Nvidia DRIVE.

When a project requires genuine research (novel architectures for hyperspectral imaging, rare-event tail modelling for reinsurance, multi-agent systems for production scheduling), we scope collaborations with the TUM Chair for Data Processing, the AppliedAI Institute (UnternehmerTUM-spun, one of Germany's most influential AI policy voices), or UnternehmerTUM-resident teams rather than overselling in-house capability. Our core team handles applied engineering, MLOps, and productionisation, which is where most Munich AI projects actually stall after the prototype. For standard work (RAG, fine-tuning, classical ML, vision on known architectures like YOLO, Detectron2, Segment Anything) no academic partner is needed. We will tell you which bucket your problem fits into and have introduced Munich Mittelstand clients to AppliedAI Institute industry programmes when the fit and budget align.

We default to AWS eu-central-1 (Frankfurt), Azure Germany West Central (Frankfurt), and GCP europe-west3 (Frankfurt) for storage, training, and inference, with optional multi-region failover to eu-west-1 (Ireland) or eu-north-1 (Stockholm). For LLMs that must stay fully in Germany under BSI C5 or sector-specific sovereignty rules, we use Aleph Alpha Luminous (operated from Heidelberg on European infrastructure) or self-host Llama 3 and Mistral on German GPU instances at IONOS Cloud or Open Telekom Cloud. Cross-border transfer to the US is acceptable only under EU-US Data Privacy Framework certification plus a Transfer Impact Assessment that survives Schrems II scrutiny, typically only for non-personal internal tooling. We document residency in the model card, the Auftragsverarbeitungsvertrag (AVV) under Art. 28 GDPR, and the Verzeichnis von Verarbeitungstätigkeiten so your Datenschutzbeauftragter has the answer ready.

A typical Munich industrial AI project (predictive maintenance on rotating equipment, computer vision quality inspection, RAG copilot over engineering documentation) takes sixteen to twenty-six weeks from kickoff to production, assuming reasonable historical data and EU AI Act technical documentation as part of scope rather than an afterthought. Week 1 to 4 is data audit, PROFINET/OPC UA integration, and baseline modelling. Week 5 to 14 is iteration, edge optimisation for Siemens IPC or Nvidia Jetson, and shadow-mode deployment on a single line. Week 15 to 22 is MLOps, drift monitoring, IEC 62443 security review, and Betriebsrat consultation under the Betriebsverfassungsgesetz. Week 23 onward is staged rollout across plants. Add four to eight weeks for notified body conformity assessment if the system is classified high-risk. We have shipped to this cadence inside Siemens Industrial Edge and Azure IoT Hub deployments.

Most custom AI work qualifies for the German Forschungszulage (research allowance) under the Forschungszulagengesetz, which returns 25 percent of eligible R&D personnel costs (up to EUR 10M of eligible base since 2024) as a refundable tax credit, claimable even by loss-making companies. Eligible activity generally includes novel modelling, architecture experimentation, algorithmic uncertainty, and systematic investigation, not routine integration or roll-out. We deliver time-tracked engineer logs, technical narratives in German and English, experiment histories, and failed-hypothesis documentation that aligns with the Bescheinigungsstelle Forschungszulage (BSFZ) certification template. Bavarian clients can sometimes layer regional Bayerische Forschungsstiftung grants on top, and Horizon Europe calls remain open for consortium-led projects. Final eligibility sits with your Steuerberater and the BSFZ.