Introducing SOVR: The First Dedicated Responsibility Layer for AI
The Problem We're Solving
Every AI assistant today ends its responses with some variation of "please verify this information" or "double-check before proceeding." This creates a paradox: the more capable AI becomes, the more time humans spend verifying its outputs.
We call this the **Double-Check Dilemma**.
The Hidden Cost of AI Verification
Consider a typical enterprise scenario:
The promise of AI was to free human time. Instead, we've created a new category of cognitive labor: AI babysitting.
Our Solution: The Responsibility Layer
SOVR introduces a dedicated layer between AI intent and execution. This layer doesn't replace human judgment—it codifies it into verifiable, auditable policies.
Three Pillars of Trust
1. Policy Artifacts
Immutable, versioned contracts that define exactly what AI can and cannot do. These aren't suggestions—they're cryptographically signed rules that cannot be bypassed.
2. Eval Gate
Every AI action passes through our evaluation gate, where it's checked against active policies, risk thresholds, and historical patterns. Decisions happen in milliseconds, not meetings.
3. Safeguards Report
Complete audit trails that satisfy compliance requirements and provide proof of responsible AI operation. Trust, but verify—automatically.
Why Now?
The AI industry is at an inflection point. Models are becoming more capable, but trust infrastructure hasn't kept pace. Organizations are either:
SOVR provides the middle path: maximum AI capability with minimum human oversight burden.
What's Next
We're launching with support for major AI platforms and a free tier for individual developers. Enterprise features include custom policy templates, advanced analytics, and dedicated support.
Free your eyes. Trust the code.