About
Green Trace AI is a UK-based platform that helps small and mid-sized companies prepare audit-ready carbon and sustainability disclosures without paying enterprise consultancy fees. It is currently founder-led, with plans to grow a UK-based team as the product scales.
I’m the founder of Green Trace AI. I’m based in Liverpool, United Kingdom, and I hold an MSc in Artificial Intelligence from the University of Liverpool, completed in December 2024. Before that, I trained as a Mechatronics Engineer at Thiagarajar College of Engineering in Madurai, India, and worked at Accenture as a Network and Services Operations Associate, supporting clients across multiple regions.
You can reach me on LinkedIn or by email at hello@greentraceai.co.uk.
At Accenture, I worked around enterprise billing and operational reporting systems. I saw, repeatedly, how fragmented operational data translated into manual reconciliation, delayed reporting, and heavy dependence on spreadsheets — even at scale, even with budget. The pattern wasn’t ESG-specific at the time, but it exposed a structural issue: large organisations struggle with consistent, auditable reporting on the things they’re measured on.
During my MSc at Liverpool, I worked extensively with structured data, classification models, and explainability techniques such as SHAP. That deepened my understanding of how messy operational data can be transformed into structured, auditable outputs — the kind a regulator or auditor will accept.
When I came across the UK’s SECR regime and the upcoming UK Sustainability Reporting Standards, I recognised the same pattern in a more critical domain. Carbon and sustainability reporting in the UK is still largely manual, fragmented, and consultant-driven. The consultants are good. They are also expensive, and they don’t scale to the tens of thousands of UK SMEs that will need to comply over the next few years.
Green Trace AI is a focused convergence of three things: operational reporting inefficiency observed first-hand inside enterprise systems; AI-driven document and data automation, turning utility bills, invoices, and activity logs into structured, auditable emissions data; and a real regulatory shift — SECR is mandatory today, and UK SRS is expected to apply to reporting periods beginning on or after 1 January 2027, subject to UK government endorsement.
The product applies DEFRA conversion factors and follows the GHG Protocol Corporate Standard. Outputs are designed to support director-signed disclosures, not replace professional review. More detail on methodology is on the methodology page.
Green Trace AI is built on Next.js, deployed on Vercel, with Supabase (EU West, Ireland) for database, authentication, and storage. Document extraction uses Anthropic Claude. Payments are handled by Stripe. Data is processed in line with UK GDPR and the Data Protection Act 2018. More detail is on the security page.
The first 12 months are focused entirely on UK SMEs preparing for SECR renewals and the UK SRS transition. The same regulatory pattern is emerging across the EU (CSRD, ESRS) and the US (SEC climate rule, California SB 253), which suggests a natural expansion path once the UK product is mature.
I’m building this from Liverpool, deliberately. The UK’s regulatory clarity, density of mid-market companies, and proximity to EU markets make it the right place to start.
If you’re a UK SME preparing for SECR or UK SRS, an accountancy firm advising clients on disclosure, or a sustainability lead trying to cut consultancy spend, I’d like to hear from you. The fastest way is a 14-day free trial — start one here.