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Langtail vs ID side

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Langtail compared with ID side
DetailLangtail logo LangtailID side logo ID side
What it doesPrompt management platform for building, testing, and deploying AI prompts collaboratively The control layer for AI
StageNot given Not given
Founded2023 Not given
Based inCZ Not given
Pricing modelNot given Freemium
PricingFree plan: $0/month with unlimited users, 2 prompts or assistants, 1,000 logs per month, 30 days data retention. Pro: $99/month + VAT for 1 user, 20 prompts or assistants, unlimited logs, 90 days data retention. Team: $499/month + VAT for 10 users, unlimited prompts or assistants, unlimited logs, 1 Free plan: €0/month with 10,000 proofs included per month. Starter: €59/month with 50,000 proofs, then €0.0015 per proof above. Growth: €249/month with 500,000 proofs, then €0.0005 per proof, then €0.0002 after 2,000,000 proofs. Enterprise: from €990/month or €15,000/year licence with 5,000,000 proo
Key features
  • Spreadsheet-like interface for managing prompts with no coding required
  • Natural language evaluation, pattern matching, and custom code testing
  • Experiment with models and parameters to optimize prompts
  • Data-driven insights from prompt performance and user interactions
  • AI Firewall preventing prompt injections and DoS attacks
  • Support for multiple LLM providers
  • TypeScript SDK and OpenAPI support
  • Self-hosting option for maximum security
  • Wraps AI provider clients with policy enforcement before calls execute
  • Enforces provider-level privacy parameters like store=false for OpenAI
  • Generates signed, non-reusable ACT tokens for each request
  • Maintains append-only, hash-chained ledger for audit verification
  • Embedded preference widget with cross-app persistence
  • Global Privacy Control signal detection and enforcement
  • Fails closed when unreachable; no fallback mode
  • Python and Node.js SDKs with source-available licence
  • Policies defined in dashboard, not in code
What makes it different
  • Prevents unpredictable LLM outputs through proper prompt management and testing
  • Non-technical teams can manage prompts with intuitive spreadsheet interface
  • Built-in AI Firewall for security and safety of AI outputs
  • Works seamlessly with all major LLM providers
  • Cryptographic proof of compliance: signed, verifiable tokens and append-only ledger that auditors can verify without vendor involvement
  • Policies live in dashboard, never touch code, preventing unauthorized modifications
  • Separates user preference control from developer code, ensuring developer cannot alter consent
Community votes00
DR (Domain Rating by Ahrefs)29 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)340
Referring domains (Majestic)2750

4 details filled in for both companies.

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