Signature

Signature is a foundational technology and platform that offers businesses private, custom-built AI solutions. It's designed to build AI models that are private and secure, protecting intellectual property and easily integrating with existing infrastructure. That means high-quality results and a strong working relationship with clients who are looking to the future.

Signature is designed to help brands and businesses get the best out of generative AI by training private AI models that keep enterprise data in the enterprise's control. Protecting intellectual property and data sets is essential to preserving their value and integrity. And by training or fine-tuning models with proprietary corporate data, businesses can ensure maximum privacy and get the best results from models tuned to their specific needs.

Some of the features include:

• Private AI Models: Run your own AI model in a private and secure environment, ensuring data remains confidential and secure.
• Model Training and Fine-tuning: Customize models for higher accuracy and tailored to specific use cases and industries.
• Data Set Preparation and Validation: Prepare and validate data sets for training and fine-tuning AI models.
• API and Integration: Seamlessly integrate private models with existing tools and workflows for automation and monitoring.
• Intent Analysis and Refiner: Perform sentiment analysis on image, video, and text to calibrate new assets and provide valuable insights.
• Digital Asset Management: Connect with digital asset management systems for secure and private asset publication and tracking.

Signature doesn't reveal pricing, and customers will have to contact Signature for custom pricing and implementation details.

Signature is geared for businesses that want to modernize their operations with AI technology while protecting their data. That can include marketing, graphic design, digital creation and photography studios or advertising agencies. With custom AI models, Signature can help customers get better results and accuracy while keeping control of their intellectual property.

Published on June 14, 2024