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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Jan.ai logo
Jan.ai
✓ verifiedFree

Open-source desktop app for running AI chat models locally or via APIs, as a private ChatGPT alternative.

378K visits/mo609 saves
BoltAI logo
BoltAI
✓ verifiedPaid

Native macOS app that unifies 300+ AI models in one private workspace with agents, MCP tools, and one-time licensing.

81K visits/mo33K saves
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
Aikido Security logo
Aikido Security
✓ verifiedFreemium

Developer-first security platform unifying code, cloud, runtime and AI pentesting with noise reduction and autofix.

670K visits/mo
Vanta logo
Vanta
✓ verifiedPaid

Compliance automation platform that continuously monitors controls and evidence to help companies achieve SOC 2, ISO 27001, and HIPAA.

775K visits/mo
Pricing

No public pricing

Essential: $79 (1 seat, one-time)
Pro: $99 (2 seats + 1 mobile, one-time)
Team Perpetual: $99/seat/year

Free trial available

No public pricing

Developer: $0 (2 users, 10 repos)
Basic: $300/mo (10 users, 100 repos)
Pro: $600/mo (200 repos)
Standard Pentest: $4,000 per assessment

Free trial available

No public pricing

Core features
  • Run open-source LLMs locally
  • Connect to online models (OpenAI, Claude, Gemini)
  • Private, offline-capable AI chat
  • Open source and self-hostable
  • Model library via Hugging Face
  • Cross-platform desktop app
  • Switch across 300+ hosted and local AI models
  • Native macOS app with global shortcut and screenshot-to-answer
  • Reusable agents, projects, and forked chats
  • Multimodal analysis of PDFs, images, and code
  • MCP tools and code execution
  • Local chat storage with encryptable API keys
  • 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
  • SAST, SCA and secrets scanning
  • Cloud misconfiguration (CSPM) and container scanning
  • AI-powered autonomous pentesting
  • AutoFix pull requests and auto-triage
  • Runtime and bot protection (Zen)
  • SOC 2 and ISO compliance support
  • Continuous automated compliance monitoring across frameworks
  • Automated evidence collection and audit preparation
  • Personnel access and permissions management
  • Vendor and third-party risk assessment workflows
  • Automated security questionnaire responses
  • Public-facing trust center for compliance status
  • 400+ tool integrations and an API for custom workflows
Use cases
  • Private local AI chat
  • Using multiple models in one app
  • Avoiding cloud data sharing
  • Experimenting with open models
  • Using multiple AI providers in one place
  • Explaining or fixing on-screen content instantly
  • Building reusable task-specific agents
  • Analyzing documents and screenshots privately
  • 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
  • Finding and fixing code vulnerabilities
  • Securing cloud and containers
  • Running continuous pentests
  • Automating compliance evidence
  • Preparing for and maintaining SOC 2 or ISO 27001 certification
  • Automating responses to customer security questionnaires
  • Managing vendor security reviews at scale
  • Centralizing risk management across a growing company
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