Agentic AI for scalable investment platforms
Highly available depot and trading platform with personalized AI recommendations, agentic governance and continuous fine-tuning.
A depot and trading platform had to deliver personalized recommendations and keep learning — without leaving the regulatory guardrails of financial services or compromising high availability.
MLOps architecture with continuous fine-tuning of the recommendation models.
Agentic governance: models act autonomously, but inside firmly defined guardrails.
Personalized AI recommendations embedded in compliance and approval processes.
High-availability setup for the continuous operation of a trading environment.
- signalportfolio & market data
- recommendAI recommendation
- guardrailgovernance guardrails
- approvecompliance & approval
- audit-logevery recommendation
feedbackRejected proposals flow back as feedback — into continuous fine-tuning of the models.
Agents act autonomously, but only inside firmly defined guardrails: every recommendation passes compliance and approval, and every decision is auditable.
A production investment platform whose agents give personalized recommendations within auditable governance and keep improving — with end-to-end regulatory compliance.
StackAgentic AI · MLOps · Fine-tuning · Personalization · Compliance
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SIFAMO GmbH — Berlin · Frankfurt