AI implementation case studies
Studio projects: what the client had, what we built and what came of it. Client names stay confidential; the figures come from the projects.
All case studies
9 case studies
Digital health
Oreol — AI concierge for healthcare navigation
Build a product that evaluates symptoms and routes the patient — strictly on clinical protocols.
- RAGon clinical protocols
- 2025in active development
Aviation manufacturing
Anomaly detection in engineering data
Develop a system for detecting anomalous patterns in time series, enabling early-stage defect detection.
- −40%analysis time
- 1000+measurements/day
Transport infrastructure
Infrastructure reporting automation
Automate report generation and integrate it into existing software.
- −60%preparation time
- 0manual operations
Wholesale distribution
Order intake and catalogue matching without manual search
Make the matching automatic so the manager is left checking the result rather than searching for it.
- 300+managers handling orders
- 60branches on one catalogue
Travel and booking
Next generation AI search for a travel marketplace
Build an AI search that parses a request written in natural language and produces personal recommendations without complex filters.
- 100+data sources
- ×3more accurate search
Marketing and web services
An AI platform for preparing marketing strategies
Build a platform that helps a business automatically assemble tailored marketing strategies from an analysis of the market, competitors and target audience.
- 8workstreams
- Weeks to hoursto prepare a strategy
Car rental & sales
Data-driven process audit in a service company
Build systematic analytics and identify process optimization points.
- 100K+records
- days → hrsreporting
Urban infrastructure
Street lighting assessment from satellite data
Develop a reproducible satellite image analysis pipeline using ML.
- 1200+km² analyzed
- autoscalability
Private healthcare
A private practitioner's digital assistant in Telegram
Build the doctor's digital twin — a Telegram assistant that autonomously runs the dialogue with a patient, collects symptomatology, and produces a personalized review in the style and logic of the specific specialist.
- 15blocks per personalized review
- RAGon protocols + doctor's materials
Tell us what needs to work better
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- contact@dzeta.ai
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