
AuraDot
Transforming Hard-to-Abate Biomass Waste, Textile Waste & CO2 into
Net-Zero Methanol
About Us
Waste is capital. CO₂ is the key. Net-zero methanol is the gold.AuraDot is developing decentralised, modular systems that transform locally generated waste into low-carbon methanol.Our initial focus is on two difficult-to-recover waste streams:
(1) biomass residues,
(2) non-rewearable, non-fibre-recyclable cotton-rich textiles.Instead of transporting these materials over long distances to large centralised facilities, our approach is to produce methanol closer to where the waste is generated and where the resulting fuel or chemical feedstock can be used.We believe the transition to sustainable methanol will require more than a small number of very large production plants. AuraDot is pursuing a “number up" model - replicable, factory-built production units designed for deployment at industrial sites, waste-processing hubs, ports and other locations with suitable feedstock, infrastructure and local demand.Each site is expected to produce approximately 1,000-10,000 tonnes of methanol per year, depending on local conditions. A site could serve local industrial users, smaller marine vessels or provide a defined supply volume to a larger methanol buyer.Our work combines established waste-conversion and methanol-production principles with a decentralised deployment and partnership model. We are currently building the technical, commercial and environmental foundations for our first integrated demonstration, with the long-term ambition of producing verifiably net-zero methanol across a distributed network of local sites.AuraDot is supported by Carbon13 and is engaging with waste owners, infrastructure operators, technology partners, research organisations and potential methanol offtakers.Local waste. Local production. Circular value.
Technology

Team


Founder | Technology
Lucy Ombaka
Founder | Commercial
Liwah Wong
⚈ Advance Catalysis
⚈ Nanotechnology
⚈ Net-Zero Chemistry
⚈ Power-to-X
⚈ Circular Economy
⚈ Climate Policy
⚈ Data & AI
⚈ Strategic Partnership