Tensalis Documentation
Patent Pending - The Precision Safety Layer for Enterprise AI
📚 Getting Started
Quickstart Guide
Integrate Tensalis in 5 minutes. Complete with code examples in Python, JavaScript, and cURL.
- Step-by-step RAG integration
- Production deployment patterns
- Error handling & monitoring
- Framework integrations (LangChain, LlamaIndex)
API Reference
Complete endpoint documentation for the /v1/verify API.
- Request/response formats
- Authentication & rate limits
- Error handling
- Performance characteristics
- Best practices
Architecture Overview
How Tensalis works under the hood, including comprehensive validation testing.
- The Embedding Similarity Trap
- NLI-based contradiction detection
- System architecture & design decisions
- 6 comprehensive validation tests
- Comparison vs RAGAS, TruLens, Guardrails AI
📊 Key Statistics
| Metric | Value | Comparison |
|---|---|---|
| Accuracy | 86.4% | vs 79.3% for RAGAS |
| Cost | $0.01 per 1K | 500x cheaper than alternatives |
| Latency | 2.1s median | Production acceptable |
| Contradiction Detection | 100% | Catches what embedding tools miss |
🚀 Quick Links
- Website: tensalis.com
- API Endpoint:
https://tensalis-engine-zlqsb5lbna-uc.a.run.app/v1/verify - Request Access: support@tensalis.com
- Status: Patent Pending
🎯 Use Cases
Financial Services
Ensure investment summaries accurately reflect prospectuses. Catch "4.5%" vs "45%" errors instantly.
Legal & Compliance
Prevent AI from hallucinating "optional" clauses when policies say "mandatory." Secure contract review at scale.
Customer Support
Stop chatbots from inventing return policies or promising features that don't exist.
Last Updated: December 17, 2025 | Version: 5.4.1