Engineering

Technical capabilities

These are competences, not separate offerings. They are the engineering the three service lines — governance advisory, fractional CTO, and the sovereign AI platform — are built on, and they are listed here so that what a project actually requires is visible rather than implied.

Applied AI & Agentic Workflows

Multi-agent systems with memory, orchestration, and governance built in. Retrieval pipelines, evaluation, human-in-the-loop approval gates.

LLMWeaviaten8nvLLM

Modern Data Platforms & RAG

From ERP silos to ACID data lakehouses. Zero-ETL, real-time ingestion, vector and relational stores side by side.

IcebergDremioWeaviate

Cloud & Kubernetes Architecture

GPU clusters, Zero-Trust perimeters, self-hosted inference in production. Gateway-level authentication and route policy.

KubernetesAPISIXKeycloak

Enterprise Integration & API

Legacy systems that finally talk to each other, without rewriting everything. Message-driven integration and API surfaces over existing estates.

ASP.NET CoreODataRabbitMQ

Microsoft & Dynamics 365

Dynamics 365 treated as a data and AI platform rather than only an ERP. F&O, Power Platform, retrieval over ERP data.

Dynamics 365Power PlatformAzure

Process & Hyper-Automation

From deterministic automation to agentic orchestration. Document pipelines, OCR, scheduled and event-driven workflows.

n8nAirflowApache Hop

Blockchain & Web3 Infrastructure

Solidity smart contracts on Polygon, DeFi AMM, event-sourced microservices. Retained as an engineering competence from earlier work.

PolygonSolidityEventStoreDB

Looking for the service lines instead? They are on the homepage.