Skip to content
Avanturin
Discuss a project

AI that works with your data and systems.

AI development

Assistants, agents and knowledge search built into a real process. We first check that AI is genuinely useful here, then build, measure quality and bring in a person where the cost of error is high.

Services: 19

After assessmentAI AdministratorCalls, SMS, bookings and deposits in one system with a website and an app.Taking on nowAI chatbotsA bot that understands free text and answers from your materials.Taking on nowPersonal AI assistantsA helper for one person: email, notes, calendar and tasks.Taking on nowCorporate AI assistantsAn internal helper for employees that respects roles and access.Taking on nowAI agents with toolsAI that not only answers but also takes actions in your systems.After assessmentMulti-agent systemsSeveral specialized agents that solve a complex task together.Taking on nowRAG systemsModel answers based on your documents, with a link to the source.Taking on nowAI knowledge basesOne base of regulations and instructions you can question in plain language.Taking on nowLLM integration via APIWe build a language model into your product or system.Taking on nowAI classification of requestsAutomatic sorting of incoming requests by topic, urgency and assignee.Taking on nowAI email processingSorting incoming email: the gist, the task, a draft reply.Taking on nowAI analysis of contracts and documentsExtracting terms, deadlines and risks with their location in the text.Taking on nowAI generation of texts and reportsDrafts of reports and documents from your data, in your format.Taking on nowAI sales assistantsA manager’s helper: qualification, prompts, conversation summaries.Taking on nowAI assistants for HRAnswers for employees and sorting the flow of candidates.Taking on nowCorporate AI searchOne search across the company’s email, documents and systems, respecting permissions.After assessmentDeployment of private and local LLMsA model on your server or in a closed environment.After assessmentModel adaptation and fine-tuningTuning a model to your style and data when prompts are not enough.Taking on nowAI evaluation and monitoringWe measure AI quality and notice when it drops.

Who it suits

Companies and founders with a lot of text, questions and repetitive decisions, as well as those who need to keep their data in-house.

Questions

Will the AI make mistakes?

Yes, any model sometimes gets things wrong. That is why we measure quality on your examples, show the sources of each answer and pass disputed cases to a person.

Where does our data go?

This is decided before work starts: an external API with suitable terms, a private cloud or a model on your own server. The choice depends on how sensitive the data is.

Which model do you use?

We choose for the task and budget, and build the architecture so the provider can be changed.

Tell us what needs to be built

We will tell you whether it can be done, how and roughly for how much. No obligation.

Describe a projectAsk the consultant