AI Strategy & Audit
Assess AI maturity, prioritize use cases, define ROI, and build a delivery roadmap (ML/LLM/RAG).
Details →AI Architecture & IndustrializationEngineering
Engineering
AI for Production
Amun Data Consulting designs and industrializes AI solutions — Generative AI (LLMs, RAG, agents) and Machine Learning — that are robust, secure and compliant (GDPR, privacy by design) for SaaS vendors, FinTechs and technology companies.
About
From scientific research to production-grade AI.
Founded by a PhD in Applied Mathematics and AI Architect, Amun Data Consulting turns prototypes into scalable, governed production systems. We combine scientific rigor, modern software architecture and MLOps practices to deliver measurable value while reducing operational and regulatory risk.
99%
NLP anonymization accuracy
+35%
Model performance gain
Production
LLM & ML deployed
GDPR
Privacy by Design
Expertise
Core Capabilities
Strategy, architecture and industrialization to deliver reliable, observable, business-aligned AI.
Machine Learning
Supervised & unsupervised modeling, NLP/OCR, evaluation, calibration, optimization and deployment (TensorFlow / scikit-learn).
Details →Secure LLM & RAG Architecture
Retrieval design (embeddings, indexing, re-ranking), quality evaluation, observability, guardrails and sensitive-data handling.
Details →Agentic AI & Multi-Agent Systems
Orchestration with LangGraph, CrewAI, AutoGen; memory, tool calling and improvement loops.
Details →Industrialization & MLOps
ML CI/CD, monitoring, data validation, drift management, cloud deployment (GCP, Azure, AWS).
Details →Secure Backend & APIs
FastAPI/Django services, SQL/NoSQL integration, OAuth2/JWT, Docker deployments.
Details →AI Model Evaluation & Robustness
Offline/online evaluation protocols, robustness and bias testing, ensuring reliable, stable AI model performance in production.
Details →Data Engineering & Data Quality
Reliable data pipelines, flow validation, schema governance, and dataset versioning for scalable ML and LLM systems.
Details →AI Governance & Compliance
NLP anonymization, pseudonymization, Responsible AI, documentation and secure data flows.
Details →
"AI creates value only when it is industrialized, measured and secured — in service of better operations and decision-making."
Johng-Ay Tamatoro, PhD
Founder, AI Architect
Use Cases
Industrialized GenAI and ML
Examples of turning POCs into robust, governed production systems.
- ●High-precision NLP anonymization pipeline (99%) for large volumes of SaaS customer tickets
- ●Production RAG architecture (embeddings, retrieval, LLM orchestration) with monitoring and continuous improvement
- ●Industrialized document extraction (OCR + NLP) and accounting classification
- ●Bank reconciliation engine (heuristics + fuzzy matching) and process automation
Contact
Initiate Dialogue
Confidential inquiries for GenAI (LLM, RAG, agents) and Machine Learning (NLP/OCR, classification, extraction), industrialization and governance.