AI that works in production — not just a proof of concept

Artificial Intelligence at the Service of Your Business

AI is no longer a futuristic concept — it's a concrete competitive advantage for Swiss businesses. At Appik Studio, we've been integrating artificial intelligence into mobile and web applications for years, well before the democratization of LLMs.

Our dual expertise — application development and AI — enables us to build solutions that aren't mere proofs of concept, but production-ready products that are reliable, secure, and tailored to your business context. We integrate AI into both our mobile applications and our web applications.

Our AI Expertise

LLM and generative AI

We integrate the most advanced language models — OpenAI, Anthropic Claude, Google Gemini, Mistral, DeepSeek — into your applications. Intelligent chatbots, content generation, document analysis, personalized virtual assistants. We design RAG (Retrieval-Augmented Generation) systems so AI responds accurately from your business data.

Deep Learning and computer vision

We develop image recognition and classification solutions based on Deep Learning. Object detection, medical analysis, industrial quality control — our models are trained and optimized to run on mobile devices in real-time.

Predictive Machine Learning

Prediction algorithms, anomaly detection, recommendation systems. We transform your data into actionable insights through supervised and unsupervised Machine Learning.

Edge AI — On-device intelligence

We run AI models directly on the user's smartphone, without cloud connection. Benefits: data privacy, near-zero latency, offline operation. Ideal for medical, industrial, and security applications.

Technologies and Tools

AI Projects Delivered

Our AI experience is built on concrete collaborations with top-tier institutions:

• CervixCheck (EPFL + HUG) — Cervical cancer detection aid. Deep Learning classification algorithm developed with EPFL's LTS5 laboratory and Geneva University Hospitals. Secure clinical data collection and risk factor classification.

• Pneumoscope (Onescope / HUG) — Connected stethoscope with embedded AI. Respiratory pathology analysis algorithms running directly on the smartphone via Bluetooth. Edge AI for maximum health data privacy.

• BmAI (CHUV — Neonatology) — Fighting malnutrition through artificial intelligence. Estimating children's weight and height in developing countries from a single photo, in collaboration with the CHUV Neonatology Department. AI serving humanitarian goals.

• ClearSky (EPFL) — Edge AI application for phone call analysis. Artificial intelligence executed entirely on the smartphone, with no data transmitted to the cloud.

• ApiZoom (EPFL) — Varroa parasite detection in beehives using Deep Learning. Collaboration between EPFL and Swiss company ApiZoom. Photo → analysis → instant diagnosis.

• Nifty — Predictive algorithms for the NFT market. Statistical analyses and predictions based on scientific research, anticipating crypto art trends.

Use Cases by Industry

Healthcare and medtech

Image-based diagnostic aid, clinical data analysis, patient monitoring, connected stethoscopes and devices. LPD and GDPR compliance. Read about our digital health projects on the blog.

Research and academia

Data analysis tools, collection platforms, interfaces for research models. EPFL, HEIG-VD collaborations, Innosuisse projects.

Finance and insurance

Fraud detection, risk scoring, customer service chatbots, automated analysis of contractual documents.

Commerce and retail

Recommendation systems, experience personalization, e-commerce chatbots, sentiment analysis on customer reviews.

Industry and IoT

Predictive maintenance, quality control through vision, process optimization, sensor data analysis.

Our AI Approach

1. Audit and scoping

We identify the most relevant AI use cases for your business. Not all problems need AI — we honestly advise you on the real added value.

2. Rapid prototyping

Proof of concept in 2 to 4 weeks. We validate technical feasibility and business relevance before investing in full development.

3. Development and integration

AI integration into your existing application or creation of a new AI-native application. Robust architecture, error handling, intelligent fallbacks.

4. Optimization and monitoring

Model performance tracking in production, continuous fine-tuning, API cost management, response quality monitoring.

Frequently Asked Questions

Is AI right for my project? Not always. We analyze your specific use case and provide honest advice. If a simple solution without AI better meets your needs, we'll tell you. Our goal is to create value, not add unnecessary complexity.

Will my data remain confidential? Absolutely. We can host models in Switzerland (Infomaniak), use Edge AI to run models on-device, or configure private LLM instances. Privacy is a priority, especially for health and sensitive data.

How much does AI integration cost? A basic chatbot with RAG starts from CHF 15,000. A computer vision system or custom model ranges from CHF 30,000 to CHF 80,000. Costs depend on model complexity and data volume to process.

Do you use AI in your own development process? Yes. We use AI to augment our productivity: code generation, automated review, testing, documentation. Our experience in applied AI allows us to know exactly where AI adds value and where it doesn't.