The Business Case: Stop Paying for Vision API Calls That Fail

The Problem

Companies using vision AI APIs (GPT-4 Vision, Claude Vision, Gemini Vision) spend $0.02-0.05 per image for analysis. But here's the catch: 20-40% of those API calls return vague, uncertain, or useless results because the images are blurry, have complex textures, or lack clear semantic content.

You're paying premium prices for responses like "I'm not sure..." or "This appears to be unclear..."

The Solution

Tethral Vision AI acts as a smart router — a $0.001 pre-screen that analyzes images before you send them to expensive vision APIs. Think of it as a bouncer that:

Rejects images that vision models can't understand (save 100% on those calls)
Routes clear images to cheap/fast models instead of premium APIs (save 60-80%)
Only uses premium models when truly necessary (optimize spending)

💰 Cost Savings Example

Scenario: E-commerce company processing 10,000 product images per day

WITHOUT Tethral

$6,000

per month

10,000 images/day × $0.02
All images sent to GPT-4V

WITH Tethral

$2,250

per month

Smart routing:
30% rejected • 50% cheap model • 20% premium

$3,750

Monthly Savings (62.5% cost reduction)

Detailed Cost Breakdown

Category	Images/Day	Cost per Image	Monthly Cost
Pre-screening (Tethral)	10,000	$0.001	$300
High Ambiguity → Rejected	3,000 (30%)	$0.00	$0 (saved $600)
Low Ambiguity → Cheap Model	5,000 (50%)	$0.005	$750
Medium → Premium Model	2,000 (20%)	$0.02	$1,200
TOTAL MONTHLY COST			$2,250
SAVINGS vs. All Premium			$3,750/month

🎯 Real-World Use Cases

1. E-Commerce Product Analysis

Challenge: Analyzing thousands of user-submitted product photos daily.
Solution: Pre-screen images. Reject blurry photos before OCR/classification. Route clear product shots to cheap models, complex scenes to premium models.
Impact: 50-70% cost reduction, faster processing, better quality control.

2. Document Processing (Receipts, Invoices, Forms)

Challenge: OCR fails on blurry scans, wasting API calls.
Solution: Filter out low-quality scans before expensive OCR. Route to human review instead.
Impact: Eliminate 30% of failed API calls, improve accuracy, reduce manual rework.

3. Medical Imaging Triage

Challenge: Not all medical images need premium AI analysis.
Solution: Route clear X-rays to standard models, ambiguous cases to specialist review or premium AI.
Impact: 40% cost savings, prioritize human expert time for truly complex cases.

4. Content Moderation Pipelines

Challenge: Processing millions of user uploads, many are abstract/unclear.
Solution: Skip texture patterns and abstract images that confuse AI. Focus premium models on clear content.
Impact: 60% reduction in unnecessary API calls, faster moderation queues.

🔄 How It Works: The Smart Routing Workflow

CURRENT WORKFLOW (Expensive): ┌─────────────┐ ┌──────────────────┐ ┌────────────┐ │ User Upload │ ──> │ GPT-4V Vision │ ──> │ Result: │ │ Image │ │ $0.02 per image │ │ "Unclear" │ └─────────────┘ └──────────────────┘ └────────────┘ 💸 Money Wasted WITH TETHRAL (Optimized): ┌─────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ User Upload │ ──> │ Tethral Pre- │ ──> │ Decision Tree: │ │ Image │ │ Screen ($0.001) │ │ │ └─────────────┘ └──────────────────┘ └────────┬────────┘ │ ┌────────────────────────────────┼────────────────────────┐ │ │ │ ▼ ▼ ▼ ┌──────────────────┐ ┌──────────────────┐ ┌──────────────────┐ │ HIGH Ambiguity │ │ LOW Ambiguity │ │ MEDIUM │ │ ❌ REJECT │ │ ✅ Cheap Model │ │ ⚖️ Premium │ │ → Human Review │ │ ($0.005) │ │ Model ($0.02) │ │ Save: $0.02 │ │ Save: $0.015 │ │ Save: $0 │ └──────────────────┘ └──────────────────┘ └──────────────────┘

📊 Key Business Metrics

            Average Cost Reduction: 50-70% of vision API spending
ROI Timeline: Immediate (first API call)
Processing Speed: <500ms pre-screening latency
Accuracy: 85% prediction accuracy for vision model performance
Integration: Simple REST API, works with any vision provider
Scale: Handles millions of images per day

        

💡 Why This Matters Now

Vision API costs are exploding. As companies scale their AI pipelines from thousands to millions of images, costs balloon. A company processing 1M images/month would spend:

Without Tethral: $20,000/month (GPT-4V at $0.02/image)
With Tethral: $7,500/month (smart routing + pre-screening)
Annual Savings: $150,000

At enterprise scale (10M images/month), you're looking at $1.5M in annual savings.

🚀 Getting Started

Three Ways to Use Tethral Vision AI:

1. Free Beta Testing (Available Now)

Test individual images at tethral-vision-ai.pages.dev
5 requests per hour per email
Perfect for proof-of-concept testing

2. API Integration (Coming Soon)

RESTful API for production workloads
Pay-per-use pricing: $0.001 per image
Enterprise volume discounts available

3. On-Premise Deployment (Enterprise)

Deploy on your own infrastructure
Full data privacy and control
Custom model training on your data

Ready to Cut Your Vision API Costs?

Join our beta program or schedule a demo to see Tethral in action.

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