💡 Inspiration LLM costs are killing AI startups. Redundant data in API calls wastes millions in compute. We built TchMind AI to strip away the noise and keep only the signal.
🚀 What It Does Sentinel Core: Multi-model intelligent routing (GPT-5.6, Gemini, Claude). Paritok Optimizer: Cuts 79% of token waste through semantic pruning. Smart Middleware: Filters data before it ever hits the API.
🏗️ How It Works (The Paritok Engine) We treat context as a signal-to-noise problem. Our efficiency formula: $$ E = \left( \frac{T_{in} - T_{out}}{T_{in}} \right) \times 100 $$ $T_{in}$: Raw, bloated input data. $T_{out}$: Clean, high-density semantic context. The Result: We deliver 79% less data with 100% semantic integrity.
📊 Why It Wins Cost Efficiency: 85-90% margin growth by killing redundant tokens. Scalability: Enterprise-ready gateway for high-volume AI workflows. Precision: Zero hallucination impact through strict subset validation.
🔮 Roadmap Scaling Paritok Proxy as an open-source middleware. Integrating deep geospatial analytics with Google Earth Engine.
Built With
- claude-api
- gemini-api
- google-earth-engine
- llm-optimization
- middleware
- nasa-esds
- next.js
- openai
- python
- saas
- system-architecture
- token-compression
- typescript
- vector-embeddings
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