Custom AI, built around your problem
We take on any AI project worth doing. Bring us the problem, not a spec: we scope it, build it, and run it in production. And if AI isn't the right answer, we'll tell you.
Applied AI Studio
Your business.
Running on AI.
We design and build custom AI: assistants, workflow automations, document processing, recommendation systems, and whatever your business needs next. From prototype to production in weeks, not months.
One system
Every source, connected.
Documents, website, chat, CRM, email: your business runs across many tools. We connect them with AI that reads, decides, and acts, so the work moves without anyone pushing it.
What we build
If AI can do it, we can build it.
AI Assistants
Assistants that answer customers and staff from your own knowledge, on your website, WhatsApp, Messenger, or internal tools, in any language.
Workflow Automation
AI agents that do the repetitive work across your tools: triage email, qualify leads, update the CRM, draft replies, file reports.
Document AI
Pull data out of invoices, contracts, forms, and scans. Classify, summarize, check, and route them without manual typing.
Recommendations
Recommendation and ranking systems that show each customer what they're most likely to want, built on your catalog and behavior data.
AI in Your Product
LLM features inside your app or SaaS: search, copilots, generation, and agents, built to hold up with real users.
Strategy & Prototypes
Not sure where AI fits? We find the highest-value use cases in your business and build a working prototype fast, so you decide on evidence, not slides.
Work
Systems we've built.
Assistants, retrieval, recommendations, and automation are what we build every day. Tell us your problem and we'll show you something working on it.
RAG · Knowledge assistant
Document question answering
- Problem
- Answers were buried across long documents that nobody had time to search.
- What we built
- A retrieval-augmented assistant that indexes the documents, finds the relevant passages, and answers with citations back to the source.
- Python
- Embeddings
- Vector search
- LLM
Recommendation system
Personalized recommendations
- Problem
- Every user saw the same generic items, whatever they were actually looking for.
- What we built
- A recommendation engine that ranks items for each user from their behavior and item similarity.
- Python
- Collaborative filtering
- Embeddings
Live demo
Multilingual support assistant
- Problem
- Customers write in Georgian, English, and Russian, often after hours.
- What we built
- An assistant for a sample clinic that answers from its price list and policies in all three languages, and hands off to staff when it should.
- RAG
- LLM
- Web widget
The pipeline
Watch the work do itself.
A customer question, an invoice, a new lead: the shape is the same. The stages marked in red are handled entirely by AI. Your team steps in only when a person should.
Trigger
a message, file, or event
AI Agent
understands the task
Context
pulls data from your systems
Action
answers, extracts, decides
Review
a person approves when needed
Systems
CRM, sheets, inbox updated
Insights
every run measured
Results
What changes when nothing stops.
We measure outcomes in your operations, not in model benchmarks.
Hours back every week
Repetitive work runs on its own, and your team spends its time on what needs a person.
Faster, day and night
Customers, leads, and requests get handled in minutes, including after hours.
Output you can trust
Grounded in your own data, checked, and with a person in the loop where the stakes are high.
Every language you work in
Georgian, English, Russian, and more, from the same system.
Scales with demand
A busy season doesn't mean hiring more people for the same work.
Measured, not promised
Every run is logged, so you see exactly what the AI did and what it saved.
Process
Weeks, not months.
Step 1
Discover
We learn where your time and money go, and pick the problem where AI pays off fastest.
Step 2
Prototype
A working prototype on your real data, usually within days, so you see it work before committing.
Step 3
Build & test
We build the production system into your tools and test it against real cases until it holds up.
Step 4
Run & improve
It goes live. We monitor it, fix what breaks, and keep improving it every month.
Kontinuum
Tell us what you want AI to do.
Describe the problem in a few lines. We'll reply with how we'd solve it and what it takes, before you pay anything.
hello@kontinuum.systems