Use cases

Below you'll read about a few example use cases where we believe our platform could add value. None of these use cases have taken place yet, they serve to give the reader an idea of real-life applications where our solutions could play a part in their application.

🛍️ Boost sales with a personal shopper

Scenario: A retail business wants to booste sales by implementing a virtual personal shopper.

Result: Using Vertical's No-code studio, they've created a recommendation AI that learns from their customer data. Now, with our API, they’re delivering personalized product recommendations directly on their website, improving the shopping experience and boosting sales.

How It Works: Upload customer data → Fine-tune AI model → Deploy on the website via API.

🤖 AI agent for a company workflow

Scenario: A company wants to automates repetitive tasks, such as report generation, using a custom-fine-tuned AI agent.

Result: Using Vertical's No-code studio, the AI was fine-tuned on their internal processes and data, creating a customized model. Now, tasks that were once a time-consuming burden are quickly handled by their model, freeing up more time for the team to focus on other tasks.

How It Works: Fine-tune AI on internal data → Fine-tune with Vertical → Integrate into workflows.

💬 AI Chatbot for Customer Service

Scenario: A business wants to improve customer support and response time with a specialized chatbot.

Result: By fine-tuning a language model with their own customer service data, they’ve created a chatbot that’s perfectly suited to their industry, with their own tone of voice. Now they’ve got a chatbot that can help customers with very specific challenges.

How It Works: Fine-tune a language model → Deploy chatbot → Tailor to specific customer challenges.

🩺 Medical Image Classification

Scenario: A healthcare startup wants an AI model to help doctors classify and diagnose healthcare problems. Result: By fine-tuning a pre-trained image classification model with their medical data, they’re creating an AI tool that could improve the accuracy of detecting specific diseases. How It Works: Fine-tune a pre-trained image classification model → Optimize with medical datasets → Deploy for clinical use.

🎨 AI Model Monetization for Independent Developers

Scenario: A developer wants to earn revenue from the AI models he has made. He is specialized in models that transform profile pictures into stylish avatars.

Result: By building and listing his model on Vertical's Marketplace, he earns revenue through licensing while helping others find creative digital solutions.

How It Works: Build model → List on Marketplace → Monetize through licensing.