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About Quantum Encoding

Fast Software, Sustainable Future

We build high-performance software using the best language for the job, committed to reducing energy consumption and advancing sustainable AI infrastructure.

Our Mission

Quantum Encoding is a software development company driven by a singular purpose: making computing sustainable without compromising performance.

We believe the future of AI and software depends on radical efficiency—faster code that uses less energy, infrastructure powered by renewable resources, and responsible management of critical resources like water.

Our Core Values

Best Language for the Job

We don't believe in one-size-fits-all technology stacks. We choose the right tool for each problem—whether that's Rust for systems programming, Python for data science, Go for cloud services, or Svelte for web applications. Performance and sustainability guide our technology choices, not trends.

Energy-Efficient Software

Fast software is sustainable software. Every millisecond of execution time is energy consumed. We optimize ruthlessly—reducing bundle sizes, eliminating runtime overhead, and building CPU-native inference engines that deliver 1,000x-5,000x cost reductions in production AI workloads.

Fully Renewable Infrastructure

We research and advocate for AI infrastructure powered entirely by green energy—solar, wind, hydro, and geothermal. The AI revolution should not come at the cost of environmental degradation. We partner with cloud providers and data centers committed to 100% renewable energy targets.

Responsible Water Management

Data centers consume massive amounts of water for cooling. We refuse to support infrastructure that diverts drinking water from communities. Our research advocates for closed-loop water treatment systems— treating wastewater, using it for cooling, and returning it clean. Technology should not compete with people for clean water.

Advanced Compression Research

We invest in research into lossless compression techniques for AI models and data pipelines. Smaller models mean less storage, less bandwidth, and less energy consumed during training and inference—without sacrificing accuracy. Compression is not just an optimization; it's an environmental necessity.

Transparency & Accountability

We publish our methodologies, share our research openly, and measure our impact with real numbers. Our website achieves a Carbon Rating A (cleaner than 92% of web pages), and we track the environmental impact of every project we ship.

Our Research Focus

AI Inference Optimization

Developing CPU-native inference engines that eliminate GPU dependency, achieving dramatic cost reductions while maintaining sub-second response times.

Green Data Center Design

Researching sustainable cooling systems, renewable energy integration, and closed-loop water treatment for next-generation AI infrastructure.

Model Compression Techniques

Advancing lossless and near-lossless compression methods that reduce model size and inference costs without degrading accuracy.

Measurable Impact

3000ms → 4.3ms
Background removal inference time (698x faster than standard GPU services)
92%
Cleaner than 92% of all web pages globally (Carbon Rating A)
100/100
Perfect Lighthouse performance score

Company Information

Quantum Encoding LTD is a software development and research company registered in England and Wales.

Registered Office

33 Oxford Street
Coalville, LE67 3GS
United Kingdom

Company Details

Company Number: 16575953
Email: info@quantumencoding.io

Work With Us

Whether you're looking to optimize AI infrastructure, reduce operational costs, or build sustainable software systems, we'd love to hear from you.