AI systems built for one clear job.
Leemer Group builds AI assistants, agents and document workflows for organisations in Ireland. Each system is designed for a defined job, such as answering from your own documents or running a routine process, and can run on infrastructure you control when the data is sensitive.
AI systems
Assistants, agents and document workflows that fit how your organisation actually works, with private deployment when your data should stay with you.
We design, build and ship AI systems for a defined job: answering from your own documents, drafting and checking routine work, or running a background process end to end. Where the data is sensitive, the system can run on infrastructure you control.
- Assistants and agents for a specific team or process
- Search and question answering over your own documents
- Private and self-hosted deployment
- Model adaptation and fine-tuning for a narrow task
What does an AI system project include?
We agree the job first: who uses it, what it may do and what it must never do. Then we build the assistant, agent or search, test it against your real material and deploy it where you choose. Where a general model is not good enough, we adapt or fine-tune one for the narrow task.
Can the AI run privately on our own infrastructure?
Yes. Where intelligence runs is a design choice, not a default. We lay out the options, from a hosted model provider to private and self-hosted deployment, and explain what each means for data, cost and maintenance before anything is built.
Why work with the team behind Leemer Labs?
Leemer Labs runs the Born programme: model adaptation, evaluation and documented releases. The same engineers build Leemer Chat, a multi-model AI workspace. Client systems are built with the tools and habits we use on our own products.
How an engagement works.
- 01
Brief
A conversation about the problem, the people affected and what a good result looks like. You can draft the idea first in Build Brief.
- 02
Scope
A written scope: what we will build or test, what we will not, and how we will agree it is done.
- 03
Build
Focused work in short cycles. You see working software or evidence early, not a reveal at the end.
- 04
Handover
Code, documents and the reasoning behind decisions, in a form your team can run, change and own.
Questions, answered.
What kinds of AI systems do you build?
- Assistants and agents for a specific team or process, search and question answering over your own documents, private or self-hosted deployments, and adapted or fine-tuned models for a narrow task.
How do you know the system works?
- We write the tests before relying on the system: realistic questions, expected answers and known failure cases from your own material. Results and limits are written up in plain language.
Do we own what you build?
- Yes. Code, documents and the reasoning behind each decision are part of the work, in a form your team can run, change and own.
How do we start?
- Use the contact page. It opens an email draft with this service selected, which you review and send yourself. No form collects your message on our side.
Related
services.
Independent tests for an AI model or feature before you rely on it: task-specific test sets, failure analysis, vendor comparison and a written evidence report.
AI readiness auditA short, written assessment of which processes are worth automating with AI, which are not, and what to do first.
Automation & integrationsConnect the tools you already use so routine work moves on its own, with AI only where it earns its place.
Tell us what
you’re working on.
Describe the problem and where you are now. We’ll reply with questions, not a sales script. Enquiries open as an email draft that you review and send yourself.