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Enterprise Layer Intelligence
Categories/Cybersecurity/Upsend
Upsend

Upsend

Founded 2024

Detect online dating threats and manage safety investigations in one queue

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Quick Setup (< 1 hour)

You can use Upsend to protect online dating apps from harm by identifying dangerous behavior and prioritizing incident response. The tool uses contextual classifiers to catch safety risks like phishing, harassment, and sexual assault. It acts as a central repository for all trust and safety investigation data, helping moderation teams review incidents without relying on other departments. Upsend also automatically redacts personally identifiable information and applies facial blurring to images, ensuring user privacy remains intact while moderators evaluate reports.

What Upsend does

Review prioritized incident queues based on assigned risk scoresRedact personally identifiable information from investigation filesBlur faces and private imagery in submitted evidenceSearch historical moderation logs across user profilesEnforce account bans and restrictions on flagged offendersVisualize incident trends across different dating app featuresContextual classifiers to identify phishing, scams, and sexual assault threatsRisk-based queue prioritization for rapid response to critical safety incidentsCentralized data repository for trust and safety investigationsAutomated facial blurring on reported user imagesAutomatic redaction of personally identifiable informationIncident visualization tools to track safety trends

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Custom Webhooks, REST API, Unverified Cloud Storage, Unverified Auth Providers, Unverified CRM Sync, Unverified Image APIs, Cloud Storage (Unverified), Auth Providers (Unverified), CRM Sync (Unverified), Image APIs (Unverified), Slack (Unverified), Zendesk (Unverified)

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Upsend, Trust Intelligence, trust and safety, online dating safety, incident management, contextual classifiers, phishing detection, user safety, moderation queue, PII redaction, facial blurring, threat detection, safety investigations, dating app moderation, scam prevention