Climate Solutions
Supplier Baseline Generator and carbon KPIs built into the supply chain workflows your team already uses.
Measured by: Supplier emissions coverage and data-quality score
Expert-led AI for midsize businesses
Expert-led AI for midsize businesses, starting with climate, logistics and construction. Every project is evaluated, scoped, implemented and scaled by experts with 20+ years of experience at brands like Google, Snapchat, Monzo, Coca-Cola, Warner Bros and Cornerstone OnDemand.
Why PAVRtech
Every project pairs an industry expert who has run the operation with engineers who have shipped AI at scale, so what we build fits how your business really works and pays back in quarters, not years.
Workstreams
We don’t start from a blank slide. Each workstream already has a working prototype we adapt to your business.
Supplier Baseline Generator and carbon KPIs built into the supply chain workflows your team already uses.
Measured by: Supplier emissions coverage and data-quality score
Scheduling and route optimisation that plan more jobs per shift and send fewer empty trucks.
Measured by: Empty-mile rate and jobs planned per planner hour
Construction bid optimisation and churn optimisation that point your team at the work most likely to pay.
Measured by: Bid win rate and revenue retained
How we compare
The PAVR Method
Pinpoint, Automate, Validate, Run. Each phase has a clear output, so you only commit to the next step once the last one has proved its value.
Weeks 1 to 2
Map your top suppliers, spend data and the gaps in your Scope 3 picture.
Weeks 2 to 6
The Supplier Baseline Generator fills the gaps from invoices, spend and public filings.
Weeks 6 to 8
Check estimates against supplier disclosures and what your auditors expect.
Ongoing
Carbon KPIs live in procurement workflows and refresh every month.
A defensible supplier baseline in weeks, and carbon data that shapes buying decisions.
The first step · 2 weeks
A fixed-fee, two-week sprint that finds the chore worth automating and proves whether AI can take it off your plate. If you go ahead with the build, the fee is credited in full.
You leave with
Working with PAVRtech
What founders and business leaders say about working with us, from first conversations to automation we have built for them.
We started speaking with PAVRtech earlier this year when looking for a solution to accelerate our bid and tender writing process. From the outset, Payal and Viral were brilliant at understanding and responding to our requirements, quickly developing well-thought-through concepts that helped us explore the possibilities and make informed decisions about the right way forward. Both came across hugely personable and technically brilliant, an absolute pleasure to work with. They genuinely feel like an extension of our team, with our interests at heart and a real commitment to finding the right solution for us.
Kate GaddMarketing Director, Design 4 StructuresAs a founder, I knew AI could help but didn't know where to start. Payal took me through the basics in plain English, then automated our CRM process for us. Breaking down the big scary AI word to smaller chunks of automating process has saved me 2 to 4 hours per week on my CRM process.
Mirna SoriaCo-founder, ProtagonistsOur experts
Every project has an industry expert at the table from the first call to the final result.
Knows why supplier data arrives late and incomplete, and how to make carbon data useful to buyers, not just to reports.
Supply chain, ClimateKnows which tenders are worth chasing, what wins them, and what a bid team needs before it trusts a new tool.
ConstructionKnows where empty miles hide in a schedule, and what planners need to see before they rely on a new plan.
LogisticsBrings rigour to carbon accounting, so every baseline follows the GHG Protocol and stands up to auditors.
ClimateFounders

Co-founder and CEO
UCLA and Cambridge (CISL) alumna, Carbon Literacy Project certified, and a graduate of the Carbon13 and Cleantech Open founder programmes. Commercialised and scaled products at Coca-Cola, Gillette, Warner Bros and Cornerstone OnDemand.
Previously at

Co-founder and CTO
USC engineer who built machine learning systems at Google, Snapchat, Yahoo and Monzo. Co-founded a startup and sold it in under two years.
Previously at
Midsize businesses, which for us means £5m to £500m in revenue, or 25 to 8,000 employees, with real operational data but no in-house AI team. We started in climate, logistics and construction.
We are based in the UK and work with clients across the UK and Europe. We are also open to projects in the US.
With a two-week Pinpoint Sprint. It is a fixed fee, and you leave with a process map, a data audit, a KPI baseline and a business case with a clear go or no-go. If you go ahead with the build, the sprint fee is credited in full.
The PAVR Method runs about eight weeks from Pinpoint to Validate: two weeks to find the right problem, four to build, two to prove it on live work. Run is ongoing, on a monthly basis.
Every project pairs an industry expert with engineers who have built AI at companies like Google, Snapchat and Monzo. The same people scope it, build it and stay for the results.
Your data stays yours. We sign an NDA before we see anything and agree up front where the data lives and who can access it. Details are in our Trust Centre.
Projects are scoped for midsize budgets and priced as a fixed fee per phase, so you only commit to the next step once the previous one has proved its value. Most clients start with a fixed-fee Pinpoint Sprint, credited in full against the build. We share a quote after the first call.
Free download
Our AI Readiness Checklist: ten plain-English questions, a simple score and what to fix first.
Get started
A 20-minute call with a founder and, where it helps, one of our industry experts. No slides, no obligation. You leave with a view on whether AI can take the chore off your plate.
Or tell us about the chore and we’ll come back to you.
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