Put large language models like GPT, Claude, and Gemini to work in your business software
APPSOLN builds large language models (the AI behind ChatGPT) into your existing software to draft, summarise, sort, and extract information, with a person checking what matters.
In plain words
Large language models, or LLMs, are the AI behind tools like ChatGPT, Claude, and Gemini. They can read and write text, which makes them useful for drafting replies, summarising documents, sorting requests, and pulling out details.
For small businesses
A small business might use an LLM to draft replies to enquiries, summarise customer calls, or pull details out of invoices automatically.
For larger companies
A large company might use LLMs inside its CRM, help desk, or document systems, with strict access rules, logging, and models hosted in its own cloud.
A good fit for
- Drafting, summarising, and sorting text at volume
- Pulling details out of emails and documents
- Adding AI to tools your team already uses
Works well with
- OpenAI (GPT)
- Anthropic (Claude)
- Google (Gemini)
- Azure OpenAI
- AWS Bedrock
- Python
Common questions
Is our data safe with AI?
It can be. We limit what data the AI sees, use business-grade services that do not train on your data, and can host models in your own Azure or AWS account.
What if the AI gets something wrong?
That is why we design checking points. Important or uncertain results go to a person before they become official.
Related pages
Large Language Models (LLMs) work is part of our ai integration service.
Have a project that uses Large Language Models (LLMs)?
Tell us what you want to build or fix. A few lines is enough to get a clear answer on what it would take.