BackEngine MCP vs SayGM

BackEngine MCP is an advanced AI infrastructure and business intelligence tool designed to make private company knowledge truly usable for AI models like Claude and ChatGPT. Traditionally, companies connect LLMs directly to scattered systems such as Slack, email, customer calls, support tickets, and CRMs via raw pipes. This leaves the AI model to read only a narrow slice of data and guess at the rest. BackEngine MCP solves this fragmentation by connecting to the same tools, reading everything first, and seamlessly joining all data into a single, continuously updated, permissioned record per account.

By ensuring that models always work from the complete picture rather than isolated data points, BackEngine MCP delivers impressive head-to-head performance gains: 67% fewer errors, 2.4x more key facts utilized, and 65% fewer tokens consumed compared to traditional direct connectors.

SayGM is a developer-focused, cost-effective, and highly private alternative to platforms like OpenRouter. Designed to bridge the gap between unified model access and strict data privacy, SayGM offers a single OpenAI-compatible endpoint that allows you to seamlessly access major frontier models—including Claude, GPT, and Gemini—without requiring code rewrites.

While many AI providers rely on basic text guarantees on their privacy pages, SayGM proves its privacy claims cryptographically. The gateway operates inside an Intel TDX enclave, enabling the silicon chip itself to sign a measurement verifying the exact software running. For open models, execution happens entirely within the secure enclave to ensure no one intercepts your prompts. For closed models, data remains strictly sealed for the maker alone, giving developers unmatched transparency and security in their AI infrastructure.