25-40%
Energy Waste Preventable
750 GWh
Daily LLM Energy
$1.25-2B
Annual API Savings
91 GWh
Yearly Impact at Scale

The Invisible Crisis

Every day, 2.5 billion LLM prompts consume 750 GWh of energy—equivalent to 750,000 homes. Yet developers have no visibility into the environmental cost of their AI usage.

No Cost Visibility

Developers don't know their prompt's energy cost before running it.

ESG Reporting Gap

Corporations can't track AI carbon footprint for compliance.

Wasted API Spend

25-40% inefficiency leaves $1.25-2B annually on the table.

The Research Breakthrough

20-45% Energy Reduction

Possible without sacrificing accuracy (2024-2025 research)

Response Length Dominates

0.9 correlation with energy—structured outputs save 20-45%

Model Selection Matters

10-40x impact—bigger than prompt optimization

Three Ways We Solve It

Comprehensive tools to analyze, optimize, and track your AI usage.

Prompt Analyzer

Get instant energy analysis of any prompt in under 30 seconds. See hidden costs and get actionable optimization suggestions.

📊

Energy Profiler

Compare energy consumption across different models. Find the perfect balance between efficiency and accuracy.

🌍

Team Dashboard

Real-time tracking with gamified leaderboards. Track CO2 reduction, water savings, and API cost reductions.

Prompt Analyzer

Input: "Please analyze and explain this text in detail..."

Output: Energy: 1,500 J

  • 1. Use "Analyze" (appropriate) - no change
  • 2. Change to bullets: -300 J
  • 3. Remove "great": -200 J
  • 4. Add max_tokens: -150 J

Predicted: 850 J (43% savings)

Prompt Analyzer

Makes invisible costs visible. Get actionable recommendations in under 30 seconds.

  • Instant energy analysis
  • Specific optimization suggestions
  • Confidence scores
  • No API keys required

Energy Profiler

Compare energy consumption across models. Find the perfect efficiency-accuracy trade-off.

  • Benchmark multiple models
  • Efficiency rankings with accuracy
  • Local model support (Ollama)
  • 2-minute benchmarks
📊Energy Profiler

Efficiency Rankings

Qwen2.5-3B
300J91% accuracy
Mistral-7B
520J94% accuracy
Gemma-7B
650J93% accuracy
🌍Team Dashboard
45.2 kWh
Energy Saved
18.1 kg
CO2 Prevented
4.5M L
Water Saved
$2.26
API Cost Reduced

Team Dashboard

Real-time tracking with gamified leaderboards. ESG-ready reporting for compliance.

  • Real-time metrics
  • Gamified leaderboards
  • ESG compliance export
  • Team accountability

Trusted by Teams

See what early adopters are saying

"We reduced our API costs by 35% in the first month while maintaining accuracy. The insights are incredibly actionable."

Sarah Chen
Engineering Lead, TechCorp

"Finally, a tool that makes AI sustainability measurable. Our ESG reporting is now effortless."

Michael Torres
Sustainability Director, GreenAI

Simple Pricing

Start free, scale as you grow

Free

$0/month

For individual developers

  • ✓ 50 prompts/day
  • ✓ Basic analysis
  • ✓ Community support
Most Popular

Pro

$29/month

For power developers

  • ✓ Unlimited prompts
  • ✓ Energy profiler
  • ✓ API access
  • ✓ Priority support

Enterprise

$25K/year

For organizations

  • ✓ Everything in Pro
  • ✓ Team dashboards
  • ✓ ESG reporting
  • ✓ Custom integrations

Ready to Make Every Prompt Count?

Join 10,000+ developers optimizing their AI usage