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What is Syntonym?

Syntonym presents a privacy-focused solution in the realm of AI and machine vision by utilizing groundbreaking lossless anonymization technology, which safeguards visual data while enabling full access to valuable insights. This advanced technology facilitates the immediate extraction of personal identifiers, including faces and license plates, without sacrificing the quality, functionality, or performance of camera-based data. In contrast to conventional techniques that tend to blur or degrade the quality of footage, Syntonym innovatively replaces sensitive identifiers with highly realistic synthetic counterparts, ensuring that vital aspects such as facial expressions, gaze direction, head orientation, demographic information, eye movements, and blinks are preserved. Tailored specifically for visual AI applications, Syntonym finds utility across various sectors that demand ethical management of real-world video and image data, such as in-cabin monitoring, advanced driver-assistance systems (ADAS) training, robotics, physical AI solutions, smart devices, vision language models, augmented reality eyewear, wearables, and intelligent camera systems. The adaptability of Syntonym Lossless enables its deployment in diverse environments, including cloud platforms, private clouds, on-premises setups, or via a real-time edge SDK, accommodating an extensive array of applications. This all-encompassing solution significantly bolsters privacy while simultaneously empowering organizations to harness visual data technology with confidence and security, fostering innovation across industries.

What is Captur?

Captur is a cutting-edge computer-vision SDK designed to enable real-time photo validation in mobile apps. By leveraging on-device models, it evaluates images as they are captured, notifying users of potential problems such as blurriness, inadequate lighting, or facial presence, and ensuring compliance with specific criteria prior to upload. This versatile SDK works seamlessly on both iOS and Android systems and can be integrated into projects that utilize Swift, Kotlin, React Native, and Flutter frameworks. Developers can define image requirements using simple business language, allowing Captur to aid users in submitting high-quality evidence for various tasks, including proof of delivery, monitoring micromobility parking, vehicle inspections, and ensuring helmet compliance. The image analysis process occurs offline on the user's device, while the management of policies and model updates can be conducted independently. Moreover, applications can review or modify the results produced by the model, providing flexibility. By focusing on empowering product and operations teams, Captur enhances the development of mobile applications reliant on trustworthy user-generated images, which significantly improves the quality and reliability of submissions. This comprehensive approach not only simplifies the validation process but also enriches the user experience by minimizing the likelihood of erroneous submissions, ultimately fostering greater user satisfaction and trust in the application.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing is consumption-based and is sized to expected volume and use case. New customers can start with a paid pilot.

Supported Platforms

SaaS
On-Prem

Supported Platforms

Android
iPhone
iPad

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Syntonym

Date Founded

2019

Company Location

United Kingdom

Company Website

syntonym.com

Company Facts

Organization Name

Captur

Company Location

United Kingdom

Company Website

captur.ai/

Categories and Features

Computer Vision

Not specified

Categories and Features

Computer Vision

Not specified

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