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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.

Glean logo
Glean
✓ verifiedPaid

Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.

3.2M 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
Credo AI logo
Credo AI
✓ verifiedPaid

Enterprise AI governance platform to inventory AI systems, assess risk and map controls to regulations like the EU AI Act and NIST.

50K visits/mo
Kiro AI logo
Kiro AI
✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

3.8M visits/mo
4.4M visits/mo
Pricing

No public pricing

No public pricing

No public pricing

Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)

No public pricing

Core features
  • Enterprise search across company apps
  • Personal AI assistant grounded in work data
  • Agent builder, orchestration and governance
  • 250+ connectors and actions
  • Enterprise knowledge graph and hybrid search
  • Security controls for scaling AI
  • 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
  • AI/agent registry with shadow-AI discovery
  • Continuous, contextual risk intelligence
  • Agentic risk and control library
  • Policy-to-code with pre-built regulatory policy packs
  • Compliance mapping and audit evidence
  • GAIA governance assistant and 300+ integrations
  • Spec-driven development (requirements, design, tasks)
  • Parallel agents, local or cloud
  • Property-based and correctness testing
  • Works in IDE, CLI, web and mobile
  • Multiple models (Claude, open-weight, Auto)
  • Headless CLI for CI/CD
  • Context from tools like Figma and Terraform
  • Dialogue with GLM large model
  • AI search
  • AI drawing
  • AI reading
  • AI-generated video (沉思清影-AI生视频)
  • AI-generated PPT
  • Data analysis tools
  • Code assistance (代码速写)
  • Intelligent agents
Use cases
  • Search across all company knowledge
  • Answer employee questions with grounded AI
  • Build and deploy custom AI agents
  • Automate cross-system workflows
  • 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
  • Comply with the EU AI Act, ISO 42001 and NIST AI RMF
  • Track and govern AI adoption and shadow AI
  • Assess third-party/vendor AI risk
  • Govern AI agents from intake to runtime
  • Turning prompts into maintainable, spec-matched code
  • Catching bugs unit tests miss
  • Reviewing PRs and fixing bugs in CI/CD
  • Engaging in conversations with an AI model
  • Generating images and videos using AI
  • Creating presentations with AI assistance
  • Analyzing data with AI tools
  • Assisting with code development
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