Artificial Intelligence
Intelligence, applied with intention.
We use AI where it makes a product genuinely better (clearer insights, less repetitive work, more natural interaction) and leave it out where it does not.
Overview
AI as a feature, not a slogan.
Modern language and vision models make it possible to summarise, classify, explain and converse in ways that were impractical a few years ago. The hard part is turning that capability into a product people can trust: picking the right model, giving it the right context, designing for mistakes, and keeping data handling clear.
Lorjova builds AI features into applications end to end, from prompt and data design to the backend services, interfaces and safeguards around them.
Capabilities
What we build.
AI-powered applications
Products with AI at their core: analysis, insights and personalised guidance, like AniHealthTracker's wellness analysis.
Intelligent automation
Reduce repetitive work: classify, extract, route and summarise information inside your existing processes.
Conversational AI
Assistants and chat experiences grounded in your own content, with clear limits and hand-offs to people.
AI integrations
Connect hosted or self-hosted models to your apps and APIs, including open-weight models you run yourself.
Responsible AI
Built to be trusted.
Transparency
People should know when they are interacting with AI and what it can and cannot do.
Privacy by design
Send models only the data a feature needs; prefer self-hosted models where sensitivity is high.
Human oversight
Keep people in control of important decisions; AI suggests, people decide.
Careful scope
Avoid high-stakes claims. In health, AI supports healthy habits; it does not diagnose.
Example use cases
Where AI helps.
- Turning daily logs into plain-language wellness insights and suggestions
- Summarising long documents, support tickets or feedback into key points
- Searching your own knowledge base in natural language
- Drafting replies or content for a person to review and send
- Categorising and routing incoming requests automatically
- Adding a helpful in-app assistant to an existing product
Approach
From idea to working feature.
Prototype fast
Validate the idea with real examples before committing to architecture.
Evaluate honestly
Measure quality on realistic inputs and design graceful failure states.
Get in touch
Have an AI idea?
Tell us what you want to make easier, faster or more helpful, and we'll explore whether AI is the right fit.