We engineer intelligence your business can run on.█
Doger&Partner is a senior consulting and engineering practice for agentic AI, machine learning, and data-intensive systems. We architect, build, and operate production-grade platforms — LLM-driven agents, deep-learning pipelines, RAG and retrieval infrastructure, cloud-native data backbones — and carry them from strategy and system design through deployment, MLOps, and LLMOps. We run them on Azure, AWS, and GCP — or on our own large-scale GPU workstations for in-house model training and self-hosted LLM inference. Scalable, explainable, engineered for real-world load — not just for the demo.
From AI strategy to a system your team operates daily.
AI Strategy Consulting
Adoption and scaling strategy for AI in your organisation — from use-case discovery and architecture design to governance and a realistic delivery roadmap.
Agentic AI Development
Bespoke intelligent systems: LLM applications, Retrieval-Augmented Generation, hybrid vector and graph retrieval, and autonomous or human-gated agent architectures.
Forecasting — via Proqnostix
Forecasting and predictive analytics are delivered exclusively through our platform proqnostix.com — explainable model ensembles and management-ready forecasts for planning and controlling.
Full-Stack Software Development
Web and application development end to end: backends, APIs, dashboards, reporting systems, and automation tools — with testing and quality assurance built in.
MLOps · LLMOps · Agentic Ops
We keep systems alive after go-live: DevOps, model operations, monitoring, retraining, and cloud deployment architectures on Azure, AWS, and Google Cloud.
Teaching & Training
University-level teaching units and seminar materials in software development, AI/ML/DL, and cybersecurity — academic depth from practitioners who build daily.
Product lines we own and develop.
Our home for everything forecasting: demand, revenue, and capacity forecasts with confidence intervals, explainable model ensembles, and management-ready dashboards for controlling departments — proqnostix.com.
An independent consumer product line, developed and operated on the same engineering standards as our client systems.
Module booklets and seminar materials authored for universities — currently covering software development, AI/ML/deep learning, and cybersecurity for distance-learning programmes.
Engagements we are running today.
Forecasting tool & AI enablement
A production forecasting tool for an industrial energy company, plus executive-level AI enablement — bringing modern forecasting practice into an established planning process.
Generic forecasting platform
A productised, reusable forecasting line: one pipeline architecture that adapts across series, horizons, and business domains.
University teaching units
Authoring accredited distance-learning modules in software development, AI/ML/DL, and cybersecurity for the European Distance Learning University in Hamburg.
Academic teaching & collaboration
Teaching engagements in software engineering and artificial intelligence as part of our university collaboration line.
Transatlantic partnership
Partner of The Brain Economy Network (Nashville, USA) — our bridge for AI and data work across the Atlantic.
A senior network, not a headcount.
D&P assembles tailored expert teams per engagement — developers, testers, UI/UX designers, data scientists, cloud specialists, project consultants. That is why a lean practice can outpace larger consultancies.
The right team, fast
Teams are formed from a proven senior network per opportunity — from strategic advisory and architecture to implementation and operational support.
Production-first engineering
Version-controlled, test-driven, reproducible. Every system is built to be deployed, monitored, and handed over — not to live in a slide deck.
Explainable by design
Forecasts ship with intervals; models ship with evaluations; decisions ship with documentation. Your team understands what runs and why.
Academic-methodological depth
Practice grounded in research and university teaching — methods are chosen for evidence, not fashion.
The stack behind the systems.
Languages & Backend
- Python · TypeScript
- Django · REST APIs
- PostgreSQL · Redis · Celery
- Docker
Cloud
- Microsoft Azure
- AWS · Amazon Bedrock
- Google Cloud Platform
- NVIDIA DGX-class GPU workstations
- Self-hosted GPU serving
- In-house training · self-hosted inference
AI & Retrieval
- LLMs · RAG · agent frameworks
- LangGraph · MCP
- pgvector · Qdrant
- vLLM self-hosted inference
Data & Analytics
- Databricks · Azure Synapse
- Apache Superset · Tableau
- Graph databases
- Custom dashboards
Building something that has to work in production?
Based near Bonn, working across Germany, Austria, Switzerland, the USA, and remotely. Tell us what you are planning — we will tell you honestly what it takes.
info@doger.de