Forging intelligence into products
AI that works for you, and holds up in production.
We build automation agents, custom AI products and machine-learning models for the messy, real-world problems that off-the-shelf tools get wrong.
What we do
Five ways we help.
What we can automate
Hand the repetitive work to an agent.
Every agent we deliver is custom-built around your workflow, your data and your tools. These are examples of the kinds of work we automate, not off-the-shelf products:
Email handling
Sorting, answering and routing incoming email, with drafts for your team to approve.
Document processing
Reading PDFs, spreadsheets and forms, extracting what matters and checking it.
Internal Q&A
Answering staff questions from your own policies, manuals and documents.
Questions over your data
Plain-English questions over your database, with charts and scheduled reports.
Research & verification
Gathering and cross-checking information across many sources before acting.
Multi-step workflows
Processes that span several tools, with people in the loop where it matters.
Fully managed delivery
Tell us the outcome. We take care of the rest.
Building AI in-house means hiring specialists, managing a team and chasing deadlines. With Dforgia, you hand over the work and stay focused on your business, while we take full ownership of delivery.
Your part
- Tell us the outcome you need
- Share access to the relevant data and systems
- Review progress and sign off milestones
- Plan, staff and manage the entire project
- Design, build, test and evaluate the solution
- Deploy, monitor and support it after launch
No hiring, no team to manage
We bring the AI/ML engineers, data scientists, software and infrastructure specialists the work needs.
One accountable partner
A single point of contact who owns scope, timeline and quality from kickoff to handover.
Agreed milestones
A clear delivery plan with regular progress updates, so you always know where things stand.
Outcomes defined upfront
Success measures agreed before we start, and a working result delivered against them.
Measured, not just demoed.
+24%
accuracy over baseline
Multimodal document evaluation
+40%
accuracy over baseline
Multimodal forecasting
83%
across 11 categories
Efficient content classifier
75%
ROUGE with a small model
Fine-tuned LLM
How we work
Pilot with proof. You see results and costs before you commit.
- 01
Sample
We start small, on a real slice of your data or one workflow.
- 02
Side-by-side results
You see our system next to what you use today, case by case.
- 03
Cost estimate
A clear running cost at your scale before you commit.
- 04
Build
Production engineering, integration and evaluation.
- 05
Run
Monitoring, updates and support after launch.
Why Dforgia
Built to ship, and to last.
Research-grade rigour
A founding team with advanced degrees in mathematics and machine learning and years of applied research, not just API wiring.
Evaluation built in
Every system ships with metrics, so you know how well it works, not just that it runs.
Cost under control
We estimate running cost upfront and optimise models, prompts and infrastructure to keep it low.
One in-house team
AI/ML, data science, software and infrastructure under one roof, from strategy to support.
Any industry
We bring in subject-matter experts when needed, so you don't have to supply the domain knowledge.
Clean handover
Documented, maintainable systems your team can own, or that we keep running for you.
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.