Sparse Supernova exists to remove waste — first from materials, and now from computation — by applying the same discipline: rigorous measurement, tight governance, and proof that stands up anywhere in the world.
For over 20 years we've worked with global brands to reduce carbon through better design decisions, stronger data, and accountable delivery. Our journey started in materials — and the discipline we built there now drives everything we do in AI.
Began working with global brands on carbon reduction through better design decisions and stronger data.
Helped develop Composta-base — the world's first 100% compostable rigid plant-based plastic, delivering a 67% lower carbon footprint than average plastics. This was science and governance: polymer blend development, analytical validation, and proof that not one atom of fossil fuel entered the material system.
Spent seven years earning ISO accreditation for measuring the carbon impacts (Scope 1, 2, 3) of materials — currently the only company in the world to hold this accreditation. Built methods that are auditable, repeatable, and aligned to global carbon standards.
Bringing the same governance-first approach to AI: reducing compute and data bloat while keeping decisions traceable and controllable.
The blend of governance and science we developed in materials became our operating system. Alongside emissions reduction, we've always focused on delivery that creates real social value.
Legacy Frontier AI is moving faster than regulation, and in many areas the standards needed to govern it don't exist yet. We've built what's missing: a governance-first way to reduce AI compute and data bloat while keeping decisions traceable and controllable.
Our Sparse Supernova code converts inputs — text, images, audio, and numerical streams — into deterministic sparse signatures, keeping only the most meaningful signals so systems store less, move less, and compute less.
The outcome is practical, measurable energy reduction, built for the near-term reality: Paris-aligned cuts on the road to −45% by 2030 from a 2019/20 baseline.
Same ethos. Higher stakes. Stronger governance. Practical, measurable energy reduction.
Say less. Do more. Prove it.