What is a Verified Context Layer? The GroundSync Standard
A Verified Context Layer (VCL) is the missing infrastructure layer between AI models and users - middleware that ensures every AI-generated claim about personal context is verified against real data before delivery.
The Problem VCL Solves
Large Language Models are probabilistic systems. They generate responses based on patterns, not facts. When an AI assistant tells you "you're free Thursday at 3pm" or "your budget allows for this purchase," it's making a statistical guess - not consulting your actual calendar or bank account.
This creates a fundamental trust problem: AI assistants confidently make claims about your personal context that may be completely wrong. The Verified Context Layer solves this by intercepting AI responses and validating every claim against authenticated data sources.
How VCL Works
1. Claim Extraction
The VCL parses AI responses to identify every discrete factual assertion about the user's personal context.
2. Source Verification
Each claim is cross-validated against the appropriate authenticated data source - calendar, email, financial APIs, or health data.
3. Response Annotation
Claims are tagged as VERIFIED, SUGGESTED, or NEEDS_INPUT, with corrections applied automatically when contradictions are found.
GroundSync: The Industry Standard VCL
GroundSync is the first commercial implementation of Verified Context Layer technology. Our patent-pending system provides real-time claim verification with sub-second latency, making it practical for production AI applications.
Every verification returns a GroundSync Score - a 0-100 metric representing the percentage of claims that could be verified against authenticated data. This gives users and developers a clear, quantifiable measure of AI response trustworthiness.
FAQ
How is VCL different from RAG?
RAG (Retrieval-Augmented Generation) provides context to the AI before generation. VCL operates post-generation, verifying the output claims regardless of how the model was prompted. They are complementary technologies.
What data sources does GroundSync support?
GroundSync currently supports Google Calendar, Gmail, financial data via Plaid, and health data from Apple Health and Google Fit. More integrations are added regularly.