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ARGOS IdentityARGOS serves as a cutting-edge platform focused on AI-driven digital identity solutions. We are transforming the global landscape of identity experiences, impacting how individuals and organizations interact with their identities. Our mission is to develop crucial identity solutions that prioritize the safety and security of digital environments across the globe. With our services, we enable you to recognize anyone, no matter the location or time! Our commitment is to enhance the trust and reliability of digital interactions for everyone involved.
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UdentifyDiscover the true identity of your customers, users, or employees with the Udentify solution for Identity Verification and Biometric Authentication. Here are the challenges we address: - Verification of identity - Streamlining onboarding processes - Facilitating new account creation - Conducting age verification - Preventing fraudulent activities - Implementing biometric authentication - Enabling passwordless access - Ensuring robust customer authentication - Serving as a replacement for knowledge-based authentication (KBA) - Complying with KYC and AML regulations Udentify holds both iBeta Level 1 and Level 2 certifications, and it seamlessly integrates with your website or mobile application, allowing users to transition effortlessly between desktop and mobile experiences as they choose, enhancing usability and accessibility. This innovative approach not only simplifies user experiences but also strengthens security protocols across digital platforms.
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PlaidPlaid operates as a global data network that supports various tools that help countless individuals achieve better financial well-being. Our goal is to create a financial ecosystem that is inclusive, competitive, and advantageous for all by streamlining payment processes and transforming the lending landscape. Collaborating with over 8,000 businesses, including popular fintech platforms like Venmo and SoFi, as well as numerous Fortune 500 firms, Plaid empowers users to have greater autonomy and flexibility in managing their finances. Based in San Francisco, the company's network encompasses more than 12,000 institutions across the United States, Canada, the United Kingdom, and Europe, ensuring a wide reach and impact in the financial sector. Additionally, Plaid is dedicated to fostering innovation that enhances user experiences in financial transactions.
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Lenso.aiLenso.ai is an innovative tool tailored for AI-driven image searches, enabling users to find images that align with their personal preferences. Utilizing cutting-edge AI technology, Lenso.ai facilitates searches not just for images, but also for locations, individuals, duplicates, and related visuals. The reverse image search feature of Lenso.ai surpasses conventional methods in both accuracy and efficiency. This powerful AI-based tool quickly assesses the uploaded image, ensuring that it provides the most relevant matches available. With Lenso.ai, performing an image search is straightforward and does not necessitate any specialized skills or expertise. This versatile reverse image search tool caters to a wide range of users, whether you are a professional photographer seeking various landscapes and landmarks, a marketer in need of similar or related imagery, an enthusiast investigating duplicate content or copyright issues, or someone focused on safeguarding privacy through facial recognition searches. As such, Lenso.ai serves a multitude of purposes, making image searching accessible and efficient for everyone.
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Maestro PaymentOur platform was specifically designed to tackle the unique difficulties faced in making payments to international contractors, freelancers, and vendors. Unlike traditional systems that can take weeks or even months to implement, our setup and user onboarding can be accomplished in just one hour. The immediate benefits of reduced transition costs and time savings from automation are evident right away, rather than being delayed for months or even years. By automating processes, we significantly decrease the chances of fraud and minimize errors. Additionally, our software features automatic invoice validation, which cross-references invoices with contracts and work hour reports to ensure precise billing. It also incorporates approval workflows, delineates responsibilities, and further mitigates the risk of fraudulent activities. Ultimately, our solution streamlines payment management while enhancing security and efficiency.
What is FaceVACS?
Utilizing advanced FaceVACS technology, we provide our clients with customizable, user-friendly, and scalable facial recognition software, promoting seamless integration via an open system architecture along with professional support. Organizations involved in ID issuance can effectively compare new identification photos with existing records to reduce ID fraud and rectify clerical errors. Additionally, these organizations have the capability to perform database de-duplication processes (1:n or n:n), allowing them to examine, refine, and manage their ID databases that contain facial images. The FaceVACS-DBScan LE solution significantly aids law enforcement officials by increasing the speed and accuracy of criminal investigations, which allows for swift responses based on match results during critical moments following a crime. By enabling these enhancements, the technology not only optimizes operational workflows but also contributes to public safety by increasing the effectiveness of law enforcement activities. Ultimately, the adoption of such advanced solutions represents a proactive step toward a safer community.
What is Amazon Rekognition?
Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures.
Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.
Integrations Supported
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Digital PhotoManager
Orange Logic OrangeDAM
Qrvey
Quickwork
Integrations Supported
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Digital PhotoManager
Orange Logic OrangeDAM
Qrvey
Quickwork
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Cognitec Systems
Date Founded
2002
Company Location
Germany
Company Website
www.cognitec.com
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/rekognition/
Categories and Features
Physical Security
Checkpoint Tracking
Customer Management
Data Collection
Event Management
Incident Management
Investigation Management
Multiple Alarm Queues
Categories and Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool
People Counting
API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring
Session Replay
Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation
