Do you build AI-powered solutions?
Yes — AI is a core part of our service offering, not an afterthought. We build practical AI solutions that solve real business problems, backed by our own experience running AI features in production at MedicalMet.
AI Solutions We Build
Natural Language Processing (NLP)
- AI chatbots: Customer service automation, FAQ bots, and conversational interfaces powered by LLMs.
- Voice-to-text: MedicalMet's treatment note feature transcribes doctor dictation and populates structured clinical templates automatically.
- Document processing: Extract, classify, and route data from invoices, forms, and contracts.
Computer Vision
- Object detection (YOLO): Parking management, inventory counting, quality inspection.
- Image recognition (OpenCV): ID verification, document scanning, and visual search.
- ANPR: Automatic Number Plate Recognition for parking and access control systems.
Predictive Analytics & ML
- Recommendation engines: Product suggestions, content personalisation, and next-best-action recommendations.
- Predictive models: Customer churn prediction, demand forecasting, and anomaly detection.
- Customer profiling: Behavioural segmentation and lifetime value prediction.
LLM Integration
- OpenAI / Claude APIs: Building AI-powered features into existing applications.
- RAG (Retrieval-Augmented Generation): Enterprise knowledge bases with AI-powered search and Q&A.
- Custom fine-tuning: Domain-specific models trained on your data for specialised tasks.
Our Approach to AI
We focus on practical AI — solutions that deliver measurable business value, not technology demos. Every AI feature we build goes through the same rigorous testing, monitoring, and feedback loops as any production feature. We instrument AI outputs for accuracy tracking and continuously improve models based on real-world performance.
Related Questions
What technologies do you use?
Flutter and React Native for mobile apps, React and Next.js for web apps, Node.js and Python for backends, PostgreSQL and MongoDB for databases, and AWS/GCP for cloud infrastructure.
GeneralWhat makes Advisory Apps different from other development agencies?
We lead with execution, not proposals. We build our own products (like MedicalMet serving 300+ clinics), so we understand what it takes to ship and maintain production software. You get the same engineering rigour applied to your project.
Still have questions?
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