Customer-owned dataset
The dataset created from your organisation's material stays yours, ready to extend as new research and reports are produced.
MODEL FINE-TUNING SERVICES
Your security expertise. In a model you own.
Turn your organisation’s internal reports, research, and methodologies into a local model that carries your team’s DNA. We help create the dataset and fine-tune a suitable base model of your choice around your collective knowledge.
THE ENGAGEMENT
From internal reports to a distinct capability.
For security companies and internal security teams, reports capture how your experts investigate, connect evidence, and explain risk. Turn that collective experience into a distinct capability: a model shaped by your organisation’s own methods, terminology, and knowledge.
- 01
Define the capability
Choose the security tasks, expected outputs, local deployment needs, and a compatible, trainable base model.
- 02
Create the dataset
We help curate your internal knowledge into structured training examples and a separate evaluation set, with your team reviewing what is included.
- 03
Fine-tune and evaluate
Train the model on your organisation’s examples and evaluate its behavior against agreed tasks and held-out material.
- 04
Deliver and keep improving
Hand over the dataset and resulting model weights. Add new knowledge and plan further training as your team’s expertise grows.
Your knowledge becomes your capability
Built around your team. Owned by your organisation.
Customer-owned fine-tuned weights
You retain ownership of the resulting fine-tuned weights and model. The underlying base model's licence remains applicable.
A base model that fits
Choose a compatible base model around your goals, hardware, licensing, and local deployment requirements.
An evolving knowledge asset
Plan new dataset versions, evaluation rounds, and fine-tuning cycles as your organisation develops its expertise.
A few good questions
Before you go deeper.
What knowledge can we start with?
Start with the internal security reports, research notes, methodologies, and examples that represent how your team works. Together we select and structure material around the tasks you want the model to perform.
Who owns the dataset, weights, and model?
Your organisation retains ownership of the dataset and the resulting fine-tuned model and weights created for you. The licence of the chosen underlying base model continues to apply.
Can we choose the base model and deploy locally?
Yes. We scope the work around a compatible, trainable model of your choice and your local deployment requirements, including hardware and licensing.
Will the model improve as we produce more reports?
The dataset can grow with your new material. We can help plan further evaluation and fine-tuning rounds; new reports do not automatically change the model’s weights.
Is this the same as the Finetune Studio roadmap?
This is a custom service delivered with your organisation. The Finetune Studio page describes Djini’s broader enterprise model-improvement roadmap, including future automated research loops.
LET’S DEFINE THE WORK
Your team’s knowledge. Your next advantage.
Discuss your data, target tasks, base model, and deployment goals with our team.