RESPONSIBILITY LAYER ACTIVE

Free Your Eyes.
Trust the Code.

SOVR: Eyes on AI • Make Trust Cheap

Go grab a coffee. Check your phone. SOVR watches the AI for you. We solve the "double-check dilemma" by placing a sovereign verification layer between intent and execution.

The Double-Check Dilemma

"Claude is AI and can make mistakes. Please double-check responses."

— Every AI assistant today. This is the problem we solve.

AI is powerful, but hallucinations make it unreliable. You delegate tasks to AI, then spend more time verifying the results than doing the work yourself. SOVR makes trust cheap — so you can finally let go and focus on what matters.

AI Hallucinations

AI confidently invents facts. Without verification, one hallucination can cost you hours of rework — or worse.

Eyes Glued to Screen

You can't look away. Every AI output needs your review. Your eyes are the bottleneck, not the AI.

Trust is Expensive

Verifying AI takes time, attention, and expertise. SOVR makes trust cheap — so you can finally check your phone.

Core Architecture

SOVR introduces three immutable pillars to guarantee AI reliability. It's not just software; it's a governance constitution.

Policy Artifacts

IMMUTABLE RULESETS

Policies are compiled into immutable, versioned artifacts. They define exactly what an AI can and cannot do, with cryptographic signatures to prevent tampering.

# policy_v1.0.2.yaml
allow:
- action: "read_database"
- resource: "public_tables"
deny:
- action: "delete_record"
- condition: "approval_missing"
signature: 0x7f8a...9b2c [VERIFIED]
AI Generated Demo

See SOVR in Action

Watch how SOVR transforms AI verification from a bottleneck into a background process.

sovr_demo.mp4
0:00

The Problem

See how double-checking wastes hours daily

0:45

SOVR Solution

Watch the responsibility layer intercept errors

1:30

Results

Real metrics from teams using SOVR

Live Simulation

Experience the Responsibility Layer in action.

sovr_runtime_v2.4.0

Simulate AI Intent

WAITING FOR INPUT...

Eyes Finally Free

Real stories from teams who stopped double-checking and started trusting.

"I used to spend 2 hours every morning reviewing AI outputs. Now I grab coffee and check my phone while SOVR handles it. My team thinks I'm slacking — I'm just trusting the system."

Sarah Chen

Engineering Lead, FinTech Startup

Saved 10+ hrs/week

"The 'please double-check' warning haunted me. Every AI response needed my eyes. SOVR gave me my evenings back. I actually watch my kids' soccer games now."

Marcus Williams

Product Manager, E-commerce Platform

Saved 15+ hrs/week

"We automated customer support with AI but hired 3 people just to verify responses. After SOVR, we reassigned them to actually improve the product."

Elena Rodriguez

CTO, SaaS Company

Saved $180k/year

Before & After SOVR

The difference between watching AI and trusting AI.

Before SOVR

Eyes glued to screen, reviewing every output
Anxiety: 'Did the AI hallucinate again?'
Context switching kills productivity
Can't delegate — trust deficit too high
Status: EXHAUSTED

Average: 3.5 hrs/day on verification

After SOVR

Eyes free — check phone, grab coffee
Confidence: SOVR verified, you're covered
Deep work mode, no interruptions
Delegate freely — trust is cheap now
Status: RELAXED

Average: 15 min/day on exceptions only

Calculate Your ROI

How much time and money are you spending on double-checking AI? Let's find out.

2h

Include time reviewing outputs, fixing errors, and re-running tasks

5
$75

Your Annual Savings with SOVR

$162,000

saved per year

2,160

hours saved/year

270

work days freed

Current cost:$180,000/yr
With SOVR:$18,000/yr

Frequently Asked Questions

Everything you need to know about SOVR and the AI Responsibility Layer.

How does SOVR verify AI outputs?
SOVR uses a multi-layer verification system: Policy Artifacts define what actions are allowed, the Eval Gate checks outputs against safety and accuracy metrics, and the Safeguards Report provides an audit trail. This happens in milliseconds, transparently, without blocking your workflow.
Which AI models does SOVR support?
SOVR is model-agnostic. It works with any AI system that produces actionable outputs — including GPT-4, Claude, Gemini, open-source models, and custom fine-tuned models. The responsibility layer sits between intent and execution, regardless of which AI generates the intent.
What happens when SOVR blocks an action?
When SOVR detects a policy violation or potential hallucination, it blocks the action and logs the event in the Safeguards Report. You can configure notifications, require human approval for specific action types, or set up automatic fallbacks. Nothing irreversible happens without your explicit consent.
How is SOVR different from AI guardrails?
Traditional guardrails focus on input filtering (what you can ask). SOVR focuses on output verification (what the AI can do). We don't limit AI capabilities — we ensure AI actions are correct, authorized, and reversible before they execute.
Can I customize the verification policies?
Absolutely. SOVR policies are defined in human-readable YAML files that you control. Set risk thresholds, define approval workflows, whitelist trusted actions, and configure alerts. Enterprise plans include policy templates for common compliance frameworks (SOC2, HIPAA, GDPR).
What's the latency impact?
SOVR adds less than 100ms to most operations. For high-frequency actions, we offer async verification modes where non-critical checks happen in parallel. The goal is trust without friction.

Still have questions?

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Trusted & Secure

Enterprise-Grade Security

SOC 2 Type II
GDPR Ready
HIPAA Compliant
ISO 27001

Integrates with your existing AI stack

🤖OpenAI
🧠Anthropic
🔮Google AI
☁️AWS Bedrock
💎Azure OpenAI