AI Data Translation Layer

Project Documentation

Complete product and technical specifications for The AI Data Translation Layer.

Core Design Principles

Schema-First

Define what you need, let AI extract it

Universal Ingestion

Any format, any source, one platform

AI-Powered

LLM extraction with dual validation

Cloud-Native

S3 storage, PostgreSQL metadata

Enterprise-Ready

RBAC, audit trails, PII redaction

Real-Time + Batch

SSE streaming and queue processing

Product Specification

Complete product requirements document covering vision, user personas, features, information architecture, and the development roadmap.

Product Vision & GoalsUser Personas & StoriesFeature SpecificationsInformation ArchitectureNon-Functional RequirementsDevelopment Roadmap

Technical Specification

Deep-dive into system architecture, data models, API contracts, processing pipelines, scalability design, and deployment infrastructure.

System ArchitectureData Models & SchemaAPI ReferenceProcessing PipelineScalability & PerformanceSecurity & Compliance
v1.0.0 — MVP Phase•Last updated: March 2026