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What is Synetic?

Synetic AI is a groundbreaking platform that accelerates the creation and deployment of practical computer vision models by generating highly realistic synthetic training datasets complete with precise annotations, thus removing the necessity for manual labeling entirely. By employing advanced physics-based rendering and simulation methods, it effectively connects synthetic data with real-world scenarios, leading to improved model performance. Studies indicate that datasets produced by Synetic AI consistently outperform real-world counterparts, achieving an impressive average improvement of 34% in generalization and recall. The platform supports an endless variety of scenarios, encompassing various lighting conditions, weather patterns, camera angles, and edge cases, while offering comprehensive metadata and thorough annotations, along with compatibility for multi-modal sensors. This flexibility enables teams to rapidly iterate and refine their models more efficiently and economically than traditional approaches. Additionally, Synetic AI seamlessly integrates with standard architectures and export formats, efficiently handles edge deployment and monitoring, and can generate complete datasets in approximately one week, with custom-trained models ready within a few weeks. This ensures swift delivery and adaptability for diverse project requirements. Ultimately, Synetic AI emerges as a transformative force in the field of computer vision, fundamentally reshaping how synthetic data is utilized to boost both model accuracy and operational efficiency. With its unique capabilities, the platform is poised to set new benchmarks in the industry.

What is Physna?

Our state-of-the-art geometric deep learning solution forges a direct link between physical objects and digital coding. We are transforming the fields of engineering, industrial design, and procurement by empowering innovators and creators through the reimagining of every 3D model. Utilizing proprietary algorithms in conjunction with advanced geometric deep learning, Physna converts 3D models into rich data sets that can be understood by a multitude of software applications. This groundbreaking technology enables 3D models to be examined and manipulated like conventional code, effectively bridging the gap between the tangible world and the software-driven digital landscape. The platform analyzes CAD files and various 3D models, generating a structured representation termed the "Physna DNA" for each model. This digital format allows Physna to showcase subtle differences and resemblances across models, even those that may be incomplete or in differing formats. Moreover, it grants insight into all elements within complex assemblies, including components nested within others, thereby enhancing comprehension of intricate designs. In addition, this revolutionary approach not only fosters innovation but also leads to improved collaboration and productivity across diverse sectors, encouraging a more integrated future.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Synetic

Date Founded

2019

Company Location

United States

Company Website

synetic.ai/

Company Facts

Organization Name

Physna

Date Founded

2015

Company Location

United States

Company Website

physna.com

Categories and Features

Computer Vision

Not specified

Categories and Features

3D Modeling

Not specified

Computer Vision

Not specified

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