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Qoder logo
Qoder
✓ verifiedFreemium

Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.

2.7M visits/mo32K saves
Gamma AI logo
Gamma AI
✓ verifiedPaid

Cloud DLP and CASB that classifies and protects sensitive data across SaaS apps using deep learning (now Palo Alto Networks).

168K visits/mo
Canopy logo
Canopy
✓ verifiedPaid

AI content filter and parental-control app that strips explicit material from sites, social, and AI chatbots without full blocking.

1.5M visits/mo
Vectra logo
Vectra
✓ verifiedPaid

AI-driven network detection and response platform that identifies and stops identity-based and lateral-movement cyberattacks in real time.

203K visits/mo1.0K saves
Pricing

No public pricing

Free trial available

No public pricing

Solo: $8.33/mo (1 device, billed annually)
Multiple: $9.99/mo (up to 5 devices)
Individual: $8.33/mo (up to 3 devices)
Family: $9.99/mo (up to 10 devices)

Free trial available

No public pricing

Core features
  • Multi-agent collaboration for end-to-end tasks
  • Persistent memory and custom rules
  • Extensible skills and plugins
  • Rich context across code, images, and directories
  • Automatic codebase documentation generation
  • Terminal-native CLI and JetBrains IDE plugin
  • Cloud-hosted agents for enterprise use
  • Deep-learning data classification (99.5% claimed accuracy)
  • Cloud DLP across SaaS applications
  • One-click deployment across apps, devices and users
  • End-user self-remediation of violations
  • Broad SaaS integrations
  • Insider-threat and breach monitoring
  • Real-time explicit-content filtering
  • AI chatbot filtering (ChatGPT, Gemini, Claude, Grok)
  • Sexting detection and alerts
  • Screen-time limits and app blocking
  • Removal-prevention anti-tampering
  • Location alerts and social monitoring
  • Real-time AI-driven threat detection beyond traditional EDR
  • Detection of identity-based attacks and lateral movement
  • 360 Response for enforced containment across identity, devices, and network
  • Exposure management and security posture improvement tools
  • Managed detection and response (MXDR/MDR) services
  • Integrations across existing security tool ecosystems
  • Attack Labs research sharing threat intelligence and techniques
Use cases
  • Autonomous feature development in large codebases
  • Terminal-based AI pair programming
  • Cross-department task automation for legal, finance, HR
  • Onboarding developers to unfamiliar codebases
  • Prevent data leaks across SaaS apps
  • Classify and monitor sensitive data
  • Reduce breaches from human error
  • Give security teams cloud data visibility
  • Protect children from explicit content online
  • Prevent sexting on a child's device
  • Set healthy screen-time boundaries
  • Personal content filtering for adults
  • Security operations teams needing detection beyond EDR/SIEM gaps
  • Enterprises defending against identity-based and hybrid cloud attacks
  • Organizations needing managed threat detection and response services
  • Finance, healthcare, and public sector teams meeting compliance-driven security needs
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