AI Coding That Saves Money and the Planet
We're building a VSCode extension that cuts AI costs by 35-50% through smart context selection. 100% local processing keeps your code private.
35-50% Real Savings
Zero Quality Loss
100% Private & Local
AI Coding Costs Are Growing Fast
Three real problems we're solving
Rising Costs
AI coding assistants cost €20-100/month per developer. Enterprise teams spend €50K-500K/year. Costs are growing 40% annually.
Environmental Impact
Every AI query consumes energy and produces CO2. Most developers don't know their environmental footprint.
Privacy Concerns
Your code is sent to AI providers with limited visibility. No audit trail means compliance challenges.
Smart Context Selection = Real Savings
Mathematical optimization that reduces tokens without losing quality
Real Savings Example
Before Contextia
10,000 tokens → AI → €0.30
With Contextia
6,500 tokens → AI → €0.19
You Save
3,500 tokens (35%)
Tokens Saved
€0.11 per query
Cost Saved
7g CO2 saved
CO2 Saved
What Makes Contextia Different
PROVEN ALGORITHMS
Battle-tested math (BM25/TF-IDF) you can trust and audit—no black-box AI guessing
MEASURABLE IMPACT
Track exactly how much CO2 and money you're saving in real-time
YOUR DATA STAYS YOURS
100% local processing means your code never leaves your machine
BUILT FOR THE FUTURE
Complete AI transparency ecosystem—ready for EU AI Act compliance
What We're Building
Our roadmap to full AI transparency
- ✅ VSCode Extension (Working Now) - Smart context selection
- 🚧 Transparency Core (In Development) - Complete audit trail
- 📋 Privacy Dashboard (Planned) - See exactly what data is shared
- 🔐 Multi-Platform Support (Future) - Beyond VSCode
What We Need
We're an early-stage startup looking for
Beta Testers
Developers willing to test our VSCode extension and provide honest feedback
Feedback
Real-world insights on what works, what doesn't, and what's missing
Strategic Partners
Companies interested in AI transparency and cost optimization
Advisors
Experienced mentors who can guide us on product, business, and growth
Frequently Asked Questions
Everything you need to know about Contextia
How does Contextia reduce AI costs?
Contextia uses mathematical algorithms (BM25/TF-IDF) to intelligently select only the most relevant code context before sending it to AI models. This reduces token usage by 35-50% while maintaining 100% quality, directly translating to cost savings.
Is my code data safe?
Does it work with my current AI assistant?
What's the environmental impact?
How do I get started?
Get In Touch
We'd love to hear from you