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Solutions

Three practice lines, one principle: validate first, deliver second.

Every model, architecture and training program is delivered reproducible, auditable and documented.

01 · Quantitative Research

Quantitative Model Consulting

Signal generation, model development and independent model validation using state-space models and adaptive filtering approaches.

  • Adaptive Kalman-filter-based estimation systems
  • Signal research and backtest audits
  • Independent model validation and stress analysis
  • Market microstructure and price discovery analysis
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02 · Enterprise Transformation

AI Transformation Consulting

Safe, auditable and regulation-aware integration of large language models and agent-based systems into business workflows — for companies of every sector and size.

  • LLM and agent architecture design
  • Data infrastructure and validation pipeline setup
  • Privacy-compliant system architecture (KVKK / GDPR)
  • Company-specific transformation roadmaps, from SME to conglomerate
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03 · Corporate Training

Corporate Training Programs

Financial technology and AI programs for executive and technical teams, supported by hands-on laboratories.

  • Executive level: AI strategy and risk literacy
  • Technical level: FinTech, algorithmic systems, LLM applications
  • Hands-on Python labs and assessment kits
  • Custom curriculum design for each institution
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Which One Fits?

A starting point for your need.

  • We want to know whether our models actually work — independent validation and backtest audits: Quantitative Model Consulting
  • We want to bring AI into our workflows safely — architecture, data infrastructure and policy: AI Transformation
  • We want to upskill our team — executive or technical programs: Corporate Training
  • Not sure yet — that is exactly what the first discovery meeting is for: Request a Meeting

Let's start with your institution's question.

The first meeting is for jointly clarifying which of our practice lines your need falls into. It creates no obligation.