Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Surfface functions as an OSINT (Open Source Intelligence) orchestrator and a people search engine tailored for businesses seeking to uncover the true identities of individuals they encounter online. Users can upload a facial photograph along with optional details such as a name or handle, allowing Surfface to analyze a variety of lawful, publicly accessible sources including social media profiles, posts, and videos. This comprehensive scanning process enables users to piece together the identity of a person behind an account, message, or transaction.
Various teams, such as those focused on security, fraud prevention, and trust and safety, utilize Surfface to assess risks associated with social engineering, identify fraudulent accounts, and mitigate potential insider threats. Additionally, human resources and compliance departments leverage this tool to implement an extra layer of open-source verification for high-risk roles, vendors, or partners. Sales professionals and customer service representatives also benefit by gaining a deeper understanding of the actual individuals linked to significant accounts.
Distinct from standard reverse image search tools, Surfface excels at identifying faces within social media content, associating them with specific profiles, and providing relevant context that aids in evaluating intent and risk—all while maintaining compliance and focusing primarily on the US market. This innovative approach ensures that businesses can navigate the complexities of online interactions with greater confidence and insight.
Description
Visual Layer is a production-grade platform built for teams handling image and video datasets at scale. It enables direct interaction with visual data—searching, filtering, labeling, and analyzing—without needing custom scripts or manual sorting. Originally developed by the creators of Fastdup, it extends the same deduplication capabilities into full dataset workflows.
Designed to be infrastructure-agnostic, Visual Layer can run entirely on-premise, in the cloud, or embedded via API. It's model-agnostic too, making it useful for debugging, cleaning, or pretraining tasks in any ML pipeline. The system flags anomalies, catch mislabeled frames, and surfaces diverse subsets to improve generalization and reduce noise.
It fits into existing pipelines without requiring migration or vendor lock-in, and supports engineers and ops teams alike.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
No
CVAT
No
Google Cloud Platform
No
Labelbox
No
Microsoft Azure
No
Integrations
Amazon Web Services (AWS)
Yes
CVAT
Yes
Google Cloud Platform
Yes
Labelbox
Yes
Microsoft Azure
Yes
Pricing Details
$19.99/month/user
Free Trial
No
Free Version
Yes
Pricing Details
$200/month
Final pricing depends on several factors, including:
The format and resolution of your data
Total dataset size (duration and storage)
Infrastructure preference (e.g. Cloud vs. On-Demand instances)
And other possible circumstances and details
The format and resolution of your data
Total dataset size (duration and storage)
Infrastructure preference (e.g. Cloud vs. On-Demand instances)
And other possible circumstances and details
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Muskelo LLC
Founded
2024
Country
United States
Website
surfface.com
Vendor Details
Company Name
Visual Layer
Founded
2022
Country
Israel
Website
visual-layer.com
Product Features
Visual Search
Barcode Recognition
No
Catalog Management
No
Customer Activity Tracking
No
Filtering
No
IP Protection
No
Image Tagging
No
Mobile App
No
Optical Character Recognition
No
Product Recommendations
No
Product Search
No
Reverse Image Search
No
Video Search
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
Yes
For Sales
No
For eCommerce
No
Image Recognition
Yes
Machine Learning
Yes
Multi-Language
No
Natural Language Processing
Yes
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Computer Vision
Blob Detection & Analysis
Yes
Building Tools
No
Image Processing
Yes
Multiple Image Type Support
Yes
Reporting / Analytics Integration
Yes
Smart Camera Integration
Yes
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Qualitative Data Analysis
Annotations
No
Collaboration
Yes
Data Visualization
Yes
Media Analytics
No
Mixed Methods Research
Yes
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No
Visual Search
Barcode Recognition
Yes
Catalog Management
No
Customer Activity Tracking
No
Filtering
Yes
IP Protection
No
Image Tagging
Yes
Mobile App
No
Optical Character Recognition
Yes
Product Recommendations
No
Product Search
No
Reverse Image Search
No
Video Search
Yes