A regulatory deadline is closing on every supplier not just the big ones.
A stack of overlapping rules CSRD, CBAM, SB 253, SBTi, IFRS S2 forces every large buyer to collect verified emissions data from their suppliers. The pressure lands on you.
sits in Scope 3. Most of it is guessed from spend data, not measured.
GHG PROTOCOL · CDP 2024per tonne on EU CBAM goods. Importers pass the cost to non-compliant suppliers.
PWC · EU REGULATION 2023/956California Scope 3 disclosure starts. Assurance mandatory for $1B+ companies by 2030.
CALIFORNIA AIR RESOURCES BOARDThe compliance demand is upstream. The capability isn't.
There's no single rule. A stack of overlapping frameworks CSRD, CBAM, SBTi, SB 253, IFRS S2 forces every large buyer to collect verified emissions data from their entire supply chain. That pressure lands on suppliers who aren't ready for it. CarbonPal gets them ready.
Scattered, manual, audit-fragile
- Buyer questionnaires answered manually by sales or ops weeks of work, no audit trail.
- Scope 3 estimated from spend (€1,000 of steel) instead of activity (500 kg of steel).
- Reduction plans live in a PowerPoint nobody updates after Q1.
- Every framework CSRD, CBAM, SBTi rebuilt from scratch in a different spreadsheet.
- EU buyers quietly switch to suppliers who can answer faster. Contracts move.
One system. Audit-grade by default.
- Every answer is drafted in seconds, with sources and confidence scores attached, before an expert reviews and signs it
- Activity-based Scope 3. Category-level confidence intervals, GHG Protocol-aligned.
- Reduction levers ranked by tCO₂e × confidence, recomputed every quarter.
- One source of truth exports to CSRD, CBAM, SBTi, SB 253 and IFRS S2 natively.
- You stay the supplier of choice and your sales team gets their week back.
Four capabilities. One source of truth.
Each capability ships standalone. Each one plugs into the next. Start at measure today and graduate to predict as your data matures.
Measure your footprint.
Drop in activity data. Get a GHG Protocol-aligned Scope 1/2/3 baseline with confidence intervals per category.
- —Activity-based, not spend-based
- —Confidence interval per category
- —Audit trail of sources & assumptions
Reduce with ranked levers.
Highest-impact reduction opportunities ranked by tCO₂e and confidence. Recomputed every quarter.
- —Ranked by tCO₂e × confidence
- —Supplier swap recommendations
- —Logistics & materials analysis
Comply without the paperwork.
Upload the questionnaire. Every answer is drafted in seconds, with sources and confidence scores attached, before an expert reviews and signs it.
- —CSRD, CBAM, SBTi, IFRS S2, SB 253
- —AI drafts · experts sign
- —Shared knowledge base compounds
Predict before the SKU ships.
When the model clears its accuracy threshold, project a product's emissions before it ships and rank the cheapest ways to cut them.
- —Emissions before product launches
- —Material & supplier swap simulations
- —Confidence-scored reduction ranking
Software does the volume. Humans do the judgement.
Certified experts review and sign before anything goes out. Every answered question builds a knowledge base that cuts the cost of the next one.
- 01
Every question mapped and drafted.
Anything below the confidence threshold is flagged for expert review.
- 02
Certified experts review and sign.
Credentialed analysts review flagged answers, fix what needs fixing, and sign. Liability stays with experts.
- 03
A knowledge base that compounds.
Every answered question joins a verified knowledge base.
- 04
Every output signed and queryable.
Reports ship with sources, assumptions and confidence scores. Structured to support evolving frameworks in CSRD, CBAM, SBTi, SB 253 and IFRS S2.
An engine that learns carbon every day, on real company data.
A competitive network of miners fed real activity data, scored against audited reports we've licensed. Best models win and weight up. One converging model powers every report we ship.
Real-world tasks
Every customer report becomes a training signal. Miners compete to produce the most accurate Scope 1/2/3 estimate from the same activity data.
Miners compete on accuracy
Outputs scored against audited reports. Winners weight up. Low-accuracy miners drop out.
Predict before the SKU exists
Once the model clears its accuracy milestone, it projects emissions for products still in R&D and ranks the cheapest ways to cut them.