What is Nyckel?
Nyckel is a platform that makes it super easy for anyone to build and deploy custom machine learning models, even if you don't have a PhD in data science. Whether you're a small business owner or a tech enthusiast, Nyckel helps you create accurate, secure, and easy-to-integrate ML models in just minutes. With Nyckel, you can focus on what you do best while the platform handles the heavy lifting of model development and deployment.
What are the features of Nyckel?
- Rapid Model Development: Build and deploy custom ML models in minutes, not weeks.
- Automatic Model Testing: Nyckel automatically tests hundreds of ML models against your data to find the best fit.
- Active Learning: The platform suggests ways to improve your model, saving you time and effort.
- Hosted and Ready to Use: No need to worry about server costs, bug fixing, or scaling—Nyckel takes care of it all.
- Data Security: Your data and models are safe with no data sharing, SOC2 certification, and HIPAA compliance.
What are the use cases of Nyckel?
- eCommerce Auto-Tagging: Automatically tag products in your online store for better search and categorization.
- Image Classification for IoT Devices: Classify images from IoT devices to trigger specific actions or alerts.
- Intent Engine for Sales Responses: Understand customer intent and provide more relevant and effective sales responses.
- Content Moderation: Filter out inappropriate content in real-time, ensuring a safe and positive user experience.
- Spam Identification: Detect and filter out spam messages using text analysis.
How to use Nyckel?
- Upload Your Data: Start by uploading your dataset to Nyckel's platform.
- Select Your Model Type: Choose the type of model you want to build (e.g., image classification, text classification).
- Train Your Model: Let Nyckel automatically test and train your model to reach your target accuracy.
- Deploy Your Model: Once trained, deploy your model with just a few clicks.
- Monitor and Improve: Use active learning suggestions to continuously improve your model's performance.
