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Crisp

Omnichannel customer messaging platform with AI assistance

Customer messaging platform with AI features serving 600,000+ businesses. Founded 2015 (France) by Baptiste Jamin and Valerian Saliou, bootstrapped with $1.4M revenue (2024). NOT a RAG-as-a-Service platform—designed for unified customer communication with AI assistance. Proprietary Mirage AI model + third-party LLM support (GPT-4o, Claude, Llama). Critical gaps: NO programmatic knowledge querying API, NO vector/embedding infrastructure, NO bot management API, NO cloud storage integrations, NO SOC 2 certification (claims compliance without audit). €0-€295/month ($0-$316) with 50 AI uses/month on Essentials, unlimited on Plus.

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Overall Rating

4.3

542 reviews

Features4.4
Ease of Use4.6
Support4.5
Value4.5
Performance4.3

Company Information

Founded

2015

Headquarters

Paris, France

Company Size

11-50 employees

Funding

Bootstrapped ($1.4M revenue 2024)

Pros

  • Omnichannel messaging with native WhatsApp, Messenger, Instagram, Telegram, Twitter/X, SMS, Line, Slack integrations
  • 600,000+ businesses served demonstrating mature product-market fit
  • Proprietary Mirage AI model plus third-party LLM support (GPT-4o, Claude, Llama, Dialogflow)
  • Comprehensive REST API with official SDKs for Node.js, Go, PHP, Python, Ruby, iOS, Android
  • EU data residency with full GDPR compliance as French company
  • Affordable SMB pricing starting at €95/month with AI chatbot
  • Visual no-code chatbot builder with drag-and-drop interface
  • Strong webhook support with 50+ event namespaces and signed payloads

Cons

  • Not a RAG-as-a-Service platform - lacks core RAG infrastructure
  • No programmatic knowledge querying API available
  • No bot management API - dashboard-only configuration
  • No vector store, embedding generation, or semantic search APIs
  • No cloud storage integrations (Google Drive, Dropbox, Notion, OneDrive)
  • No SOC 2 certification - claims compliance without formal audit
  • No analytics API - metrics dashboard-only
  • AI usage caps on mid-tier plans (50 AI uses/month on Essentials)

Best Use Cases

Unified customer messaging across omnichannel platforms (website, social, messaging apps)
SMB customer support automation with AI-powered suggested responses (MagicReply)
Multi-lingual customer service with automatic language detection and live translation
Knowledge base Q&A with website crawling and article management
Human-agent collaboration with AI assistance (conversation summarization, co-browsing)
No-code chatbot building for non-technical support teams
EU-based businesses requiring GDPR-compliant customer communication platform
NOT suitable for: RAG-as-a-Service development, programmatic knowledge retrieval, custom AI application building, vector database control, enterprise-scale document ingestion

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