Socrates AI is the first neuro-symbolic AI architect that actually reasons through implementation consequences before generating plans. Unlike traditional AI tools that rely purely on pattern matching, our symbolic reasoning engine evaluates the logical implications of each architectural decision. It considers how components will interact, potential failure points, scalability constraints, and performance trade-offs. We built Socrates AI because we witnessed a critical gap in the AI development workflow. While generative AI tools can produce code snippets and basic applications, they often lack the deep architectural reasoning needed for complex systems. Developers were stuck in a frustrating cycle, getting exciting ideas from AI, only to face the overwhelming task of figuring out how to actually implement them at scale. We saw teams spending weeks translating high-level concepts into actionable development plans, often making costly architectural mistakes along the way. Socrates AI eliminates this bottleneck by doing the heavy lifting of architectural reasoning upfront.

Socrates AI

The first neuro-symbolic AI Architect

The first neuro-symbolic AI Architect