Generative AI development built on your own data
Generative AI can draft, summarise, search and answer questions quickly, but only if it's connected to the right information and used with care. Our generative AI development team builds tools that use large language models on your own data, with accuracy and privacy in mind.
At a glance
- Knowledge search across your documents
- Content and document generation
- Copilots inside your apps
- Private, secure model hosting
What is generative AI development?
Generative AI development is building software that uses models able to create new content, such as text, images or code, in response to prompts. For business, it usually means connecting large language models (LLMs) to company data through retrieval-augmented generation (RAG) to answer questions, draft documents and summarise information accurately.
Services
What we build
We focus on uses where generated content is useful and checked.
Knowledge assistants
Search and answer questions across policies, manuals and files.
Content generation tools
Draft proposals, product descriptions, reports and emails in your style.
In-app copilots
Add AI help directly into your software or SaaS product.
Document summarisation
Summarise contracts, reports, transcripts and long threads.
Image and media generation
Create and edit visuals for marketing and product content.
Fine-tuning and evaluation
Improve model output for your domain and measure accuracy.
Is it right for you?
Where generative AI helps most
- Staff spend time searching for answers in long documents
- Teams write similar documents and emails again and again
- Customers or users need help inside your product
- You have large amounts of text that needs summarising
Compare
RAG vs fine-tuning
Most business projects start with RAG.
| Compare | RAG (retrieval) | Fine-tuning |
|---|---|---|
| How it works | Looks up your documents when answering | Retrains the model on your examples |
| Staying current | Update the documents | Needs retraining |
| Shows sources | Yes | No |
| Best for | Knowledge and factual answers | Style, format and specialised tasks |
How we work
Our process, step by step
Discover
The tasks and content that matter most.
Prepare data
Documents collected, cleaned and secured.
Prototype
A working version on your real content.
Evaluate
Accuracy and safety tested before launch.
Launch and improve
Usage reviewed and answers refined.
Technology
Tools and technologies we use
Models
RAG
Platforms
Why Kedra Digi
Why work with us
Designers, developers and testers work together in-house. Your project is never passed to a subcontractor.
Before any work starts you get an itemised proposal that explains what we'll build and how.
Source code, designs, documentation and accounts are handed over to you. There's no lock-in.
We monitor, maintain and improve what we build for as long as you need us.
Kedra Digi is an Australian-owned software development company. See our recent projects.
Is generative AI accurate?
How much does generative AI development cost?
What is RAG?
Will our data be used to train public models?
Can it write in our brand voice?
Who owns the content it creates?
Related services
Often paired with this service
Free discovery call
Want to put generative AI to work?
Tell us where your team spends time writing, searching or summarising. We'll reply within one business day with honest advice.
Prefer email? [email protected]