Next generation Multimodal Anomaly Detection

Neuraptic AI is a Deep Tech research and product company

Native multimodal AI applications for every company

Introducing ENAIA, Neuraptic AIĀ“s native multimodal AI model.

Providing advanced multimodal AI capabilities without the need for extensive technical expertise.

  • It achieves multimodality natively.
  • It is accessible to all.

Native Multimodality

Refers to the seamless integration of structured and unstructured data from various sources within a single AI model.

– Enhances prediction accuracy.

– Reduces data requirements for training.

Unveils key insights that may remain hidden when analyzing individual data sources in isolation.

Universal Access

To bridge the growing gap between big AI players and the rest of the world.

– Affordable pricing structure

– User friendly interface

– Seamless integration

– Automatic updates

Next generation
anomaly detection

Anomaly Detection

Anomaly Detection Is a technique used to identify data points that deviate from the expected behavior within a dataset, indicating errors, fraud, defects, or other unusual occurrences.

Multimodal Anomaly detection is achieved today through modality- specific individual analysis, followed by the fusion of results via algorithms. This approach can lead to a strong disturbance between features and harm the overall detection performance.

Next Generation Anomaly Detection

Ā Similar to the impact of Deep Learning in computer vision, ENAIA represents a qualitative advancement in anomaly detection.

ENAIA’s native multimodality provides a qualitative change in contextual understanding compared to earlier AI generations.

This enhanced capability enables the detection of subtle and intricate anomalies that are critical but frequently go unnoticed when analyzing individual data sources in isolation.

ENAIA promotes a data-centric approach to anomaly detection.

A multimodal AI system can handle more than one of these data types, either separately or in combination.

1. Input

Ā 

2. Representation

3. Atention

4 Fusion

5. Output

ENAIA is accessed through its dedicated training and deployment platform

With a user-friendly interface and seamless integration with other systems

1. Define

2. Upload

3. Deploy

A BUSSINES CASE FOR ENAIA

Whether you are a small company or a large multinational looking to elevate your AI capabilities, utilizing Next Generation Anomaly Detection through ENAIA can provide tangible benefits for you.

ENAIA‘s process automations can streamline operations, reducing manual workloads, and increasing overall efficiency

Automation and improved AI capabilities can lead to cost savings through reduced labor costs and improved resource allocation.

Small companies can gain a competitive edge by leveraging AI, while large multinationals can maintain their competitive position by advancing their AI capabilities.

ENAIA can scale with your company’s needs, whether you’re a small business with modest requirements or a multinational corporation with complex demands.

Enhanced AI capabilities can provide valuable insights, enabling better-informed decision-making at all levels of the organization.

AI-driven processes can lead to better customer service and satisfaction, which is crucial for both small and large companies.

Automation can free up time for employees to focus on higher-value tasks and strategic activities.

ENAIA‘s capabilities can help identify and mitigate risks, ensuring more robust business operations.

Innovation

ENAIA‘s flexibility allows businesses to adapt to changing market conditions and customer expectations more effectively.

Improved data handling and processing can help ensure compliance with regulations and enhance data security.

Companies can expect a positive ROI as they leverage ENAIA‘s capabilities to improve processes and drive business outcomes.

MARKETS WE WORK