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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.

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
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
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
PicoClaw logo
PicoClaw
✓ verifiedFree

Ultra-lightweight, self-hosted open-source AI assistant in Go that runs on sub-$10 hardware like Raspberry Pi with under 10MB RAM.

81K visits/mo
MiniMax logo
MiniMax
✓ verifiedFreemium

Chinese AGI company building multimodal LLMs, Hailuo video, speech and music models, plus AI apps and open APIs.

4.6M visits/mo
Pricing

No public pricing

No public pricing

No public pricing

No public pricing

Max Token Plan: 119 CNY/mo (frontier models, up to ~7.1B tokens/mo)
Core features
  • 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
  • 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
  • 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
  • Single self-contained binary requiring under 10MB RAM
  • Sub-1-second startup even on low-power processors
  • Support for 16+ chat channels including Telegram, Discord, Slack, WeCom
  • Compatibility with multiple LLM providers (OpenAI, Claude, DeepSeek, Gemini, etc.)
  • Runs on Raspberry Pi, RISC-V, ARM64, x86_64, Android, and Docker
  • Self-hosted design keeping data and configuration local
  • Gateway/API mode for connecting to chat platforms via MCP protocol
  • MiniMax M-series LLMs (M3, 1M context, MSA)
  • Hailuo AI video generation
  • Speech and music generation models
  • MiniMax Code agentic coding tool
  • Consumer apps (Hailuo, Xingye)
  • Open API and Token Plan for developers
Use cases
  • Prevent data leaks across SaaS apps
  • Classify and monitor sensitive data
  • Reduce breaches from human error
  • Give security teams cloud data visibility
  • 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
  • Private local AI chat
  • Using multiple models in one app
  • Avoiding cloud data sharing
  • Experimenting with open models
  • Running a private AI assistant on minimal or embedded hardware
  • Local code assistance that keeps proprietary code off the cloud
  • Home automation and personal task scheduling via chat bots
  • Privacy-conscious users wanting self-hosted AI on low-cost devices
  • Coding and agentic tasks
  • AI video generation
  • Text-to-speech and music creation
  • Building on MiniMax model APIs
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