About
Why Dforgia exists.
Most AI initiatives stall somewhere between the whiteboard and production. Dforgia exists to close that gap, bringing the same rigour to shipping AI that engineering teams bring to any other critical system.
Founding team
From research to production.
15+
years in engineering
9+
years in AI & machine learning
M.Tech
Mathematical modelling, major in ML
M.Sc.
Mathematics
Our founding team has spent more than fifteen years in engineering, nine of them focused on AI and machine learning, spanning research and production, from early model development to architecting AI products and systems built to scale.
That work has centred on taking AI out of the research phase and into systems that run reliably: architectures that are not just accurate, but efficient, measurable and maintainable. It is grounded in a background in mathematics, modelling and applied research, including published talks on forecasting and pattern recognition.
Dforgia is built on that same principle: AI work judged by what ships and holds up, not by what demos well once.
See the track record →Our team
One team from strategy to production.
An in-house team covers every stage, so nothing is lost between the people who design a system, build it and run it. For industry-specific work, we bring in subject-matter experts, so you don't need to supply the domain knowledge yourself.
- AI/ML engineers
- Data scientists
- Software engineers
- IT & infrastructure specialists
Capabilities
- AI workflow automation & integrations
- AI agents & multi-agent systems
- Retrieval-augmented generation (RAG)
- LLM fine-tuning & evaluation
- Multimodal AI (vision + language)
- Predictive analytics & forecasting
- Anomaly detection
- NLP & document intelligence
- Model cost & latency optimisation
- AI system architecture
- Production deployment & monitoring
Have a workflow you wish ran itself?
Tell us about it. In a short call we'll say honestly whether AI is the right fix, and what a small pilot would look like.