What is Sight AI?
Sight AI is a robust, decentralized AI inference network and Model-as-a-Service platform designed to simplify complex AI deployment. It solves the critical developer problem of managing disparate models, billing schemes, and rate limiters by providing a single, unified, OpenAI-compatible API gateway. This infrastructure delivers scalable, cost-effective, and privacy-preserving access to proprietary and open-source models for AI application developers and offers transparent monetization opportunities for compute providers.
Key Features
🌐 Unified Multi-Model Access
Stop integrating separate APIs, billing systems, and rate limiters for every vendor. Sight AI offers a single, OpenAI-compatible API endpoint that aggregates access to over 20 active models from providers like Anthropic, Google, OpenAI, and Deepseek. You gain the flexibility to compare cost structures and capabilities across major tiers, drastically simplifying your development stack and accelerating time-to-market.
🧠 Adaptive Smart Routing (AIO)
Achieve guaranteed stability and optimal cost control automatically. The Adaptive Inference Orchestrator (AIO) constantly monitors node metrics—including latency, load, and success rates—and intelligently routes every request. Traffic is automatically dispatched based on a combined cost function (e.g., latency × load) and availability, ensuring your requests are executed via the fastest, most reliable, and most cost-efficient channel available.
🔒 Zero-Trust API Key Encryption (BYOK)
We enable secure monetization of idle API credits or computing resources without compromising security. Providers encrypt their keys client-side using robust standards like X25519 + ChaCha20-Poly1305. The Gateway stores only the resulting ciphertext, ensuring the plaintext key is never stored at rest, and only the designated Executor can decrypt and use it for zero-trust security.
✅ Transparent, Verifiable Settlement
Build trust through complete financial transparency. For every usage period, the platform produces a verifiable Snapshot using a Merkle root and price table. This allows providers and users to locally audit and verify usage-based fees and revenue claims. Claims are finalized via EIP-712 signatures after local validation, guaranteeing reproducible checks and fair revenue sharing.
Use Cases
Building High-Stability AI Applications
When developing core applications requiring guaranteed performance (like real-time coding assistants or critical customer support bots), you can leverage Sight AI's 99.9% Uptime SLA. The Adaptive Orchestrator automatically fails over to the next best provider if the primary node lags or fails, ensuring consistent service delivery and mitigating the risk of vendor-specific outages.
Optimizing Cost for High-Volume Data Analysis
For tasks like stock research, news curation, or large-scale document analysis where cost is a primary concern, the system automatically routes requests to models offering the best price-to-performance ratio at that moment. This dynamic pricing optimization allows developers to run high-volume inference jobs at a significantly lower operational expenditure compared to relying on a single, fixed-price vendor.
Monetizing Idle Compute and API Resources
If you are an Edge Owner or hold underutilized API credits, you can easily transform these idle resources into revenue. Simply register your devices or keys via the supply marketplace. The platform handles job scheduling, zero-trust key management, and verifiable payment, offering a low-friction pathway to monetize unused capacity securely and transparently.
Conclusion
Sight AI transforms complex multi-model access into a simple, secure, and cost-efficient utility. Whether you are an AI application developer seeking reliability and flexibility, or a compute owner looking for low-friction monetization, we provide the decentralized infrastructure necessary for high-performance inference.





