Why you are here · your Carbon X-Ray · FY2024-25

India's SUV and EV leader.
The product number the world will soon demand, and you cannot yet declare.

75
/ 100 · Rubric 2.0
Net-zero 2040, SBTi validated · rank 9 of 1,246, 99th percentile
Scope 3 disclosed · 94.5 Mt across 8 categories · RE 18.5%
Reported · corporate Scope 3FY25 BRSR, mostly use-phase, estimated
94.5 Mt disclosed
Product PCF · supplier-primarycradle-to-gate, defensible, tier 2-5
≈8% covered

Your corporate number is real, and it leads your peers. The number CBAM and the EU Battery Regulation now want is different: a per-vehicle, supplier-primary, cradle-to-gate PCF. That one you cannot yet declare.

How we close it · picked by the engine, not a menu

Start with one vehicle.
The one where the battery is the footprint.

Hero track · in progress

BE 6 cradle-to-gate pilot

Your INGLO electric SUV resolved to a per-vehicle PCF, part by part, tier by tier.

Inside the pilot

Battery cascade · BYD LFP

The 59 kWh Blade pack is 39% of the number. Trace it to cathode, graphite and the grid behind the cell.

Preview

CBAM + EU Battery engine

ISO 14067, CBAM embedded emissions and the EU Battery carbon declaration from one baseline.

Preview

Supplier primary-data program

Move suppliers from spend proxies to verified primary data, part by part.

Carbon rating 7584 · Leader → product-defensible, export-ready

We walk you through the BE 6 PCF. Everything else waits for you to lean in.

Why now · the window is a moment, not a state

Every reason to declare
points at this year.

Regulatory

EU Battery Regulation is live

EV-battery carbon-footprint declarations are phasing in now, with the digital battery passport mandatory from Feb 2027. No declaration, no EU shelf space.

Border

CBAM is in its definitive period

From 2026 the embedded steel and aluminium in an exported vehicle carry a carbon price. That number has to be traceable, not estimated.

Export

Your EV ambition is global

INGLO was built for markets beyond India. A product PCF is the passport, and it is a supplier-primary artifact, not a spend estimate.

Position

First Indian OEM writes the reference

No Indian automaker holds a supplier-primary, tier-2-to-5 product PCF. The first one sets the standard buyers and regulators read.

The workspace ahead is simulated on your real disclosures and public supplier data, honestly labelled. Let's walk the platform.

Mahindra & MahindraProduct carbon footprint workspace · Aug 2026
Carbon rating7584with Climes
MM
Simulated environment from Mahindra's public FY25 disclosures and the publicly reported BE 6 / XEV 9e supplier map. Disclosed = real, sourced · Illustrative = estimate, replaced by your supplier data in a pilot.
Overview · product carbon footprint workspace

One product footprint, from bill-of-materials to declaration

Carbon-OS resolves Mahindra's vehicle line into cradle-to-gate product carbon footprints. It allocates part by part, scores the data quality, and prepares declarations for CBAM and the EU Battery Regulation. Below is the live state of the workspace.

Calculate a footprint

Add a bill-of-materials or supplier activity data via CSV, a sample file, or a manual total. The wizard maps it to the ISO 14067 schema and scores each line.

Reported Scope 3
94.5 MtCO2e
disclosed · FY25 BRSR · 8 categories
Cradle-to-gate embedded
≈9.0 MtCO2e
one model year · illustrative
Vehicles in book
8,52,000 / yr
15 model platforms
Supplier-primary coverage
8%
the number to move
Weighted data quality
3.8
1 best · 5 weakest
Avg cradle-to-gate
7.6 t/vehicle
weighted avg, excl. use phase

Reported emissions under BRSR Disclosed · FY25

94,555,745 tCO2e · value chain (Scope 3)
S1 · 67,829
S2 · 249,830
S3 · 94,555,745
Rating 75 / 100 · rank 9 of 1,246 SBTi validated · net-zero 2040 Scope 3 · 8 of 15 categories RE 18.5%

This leads your Indian auto peers, and the breadth is real. It is also a corporate aggregate, mostly use-phase, and mostly estimated. The product-level view is below.

Corporate Scope 3 vs product-defensible PCF Illustrative

The gap is not size. It is defensibility. Your disclosed number is broad and estimated. The number CBAM and the EU Battery Regulation want is per-vehicle, cradle-to-gate, and supplier-primary.

Reported Scope 3 · disclosed
broad, mostly use-phase, estimated
94.5 Mt · 8 categories
Product PCF · supplier-primary
cradle-to-gate, tier 2-5, defensible
≈8%

Of the ≈9 Mt embedded in one model year, only ≈8% rests on supplier-primary data. 92% is still bill-of-materials secondary or spend proxy, and none of it survives a CBAM or EU Battery Reg audit yet.

Jump into the platform

Model portfolio →

Every model: powertrain, data source, per-vehicle PCF, embedded emissions, primary-data score.

Footprint analytics →

Embedded carbon by segment, material hotspot, powertrain and trajectory, plus the KPI set.

Allocation engine →

How a part becomes a number: mass times emission factor, cradle-to-gate, live.

Reporting & declaration →

Build an ISO 14067, GHG Product, EU Battery, CBAM, BRSR or CDP disclosure. Export PDF, Excel, CSV.

Platform · model portfolio

Model portfolio: every vehicle, as a product footprint

Import a bill-of-materials or add models one by one. Each model carries its powertrain, data source, annual units, per-vehicle cradle-to-gate PCF, embedded emissions and primary-data score, all recomputing live.

ModelPowertrainData sourceUnits / yr PCF t/vehEmbeddedData score
Total · 15 models 8,52,000 ≈9.0 Mt wtd 3.8

What the model portfolio handles

Import
Bill-of-materials import

CSV / PLM export, mapped to the ISO 14067 part schema

Classify
Part & material classification

System, material, mass, supplier, tier, origin

Tag
Automatic allocation tagging

Battery, metals, electronics, polymers. Sets the emission-factor basis

Entity
Multi-entity portfolios

Auto standalone, group, Farm Equipment. Switch at the top

Boundary
Configurable boundary

Cradle-to-gate, cradle-to-grave, gate-to-gate

Time
Model-year snapshots

Versioned PCF states for year-over-year comparison

Model pilot · one layer deeper. Your INGLO electric SUV, resolved to a per-vehicle PCF. In a live pilot every model gets its own workspace, and this page exists for all 15. Illustrative
Model drilldown · the battery is 39% of the number

BE 6: your electric SUV, part by part, tier by tier

Two readings of one vehicle. Part 1: the cradle-to-gate footprint as it stands. Part 2: what happens to the number, and its defensibility, when suppliers move to primary data.

Part 1

Current state: the BE 6 cradle-to-gate footprint

Annual units
30,000 / yr
INGLO electric SUV
Cradle-to-gate PCF
12.4 t/veh
illustrative · excl. use phase
Battery share
39%
BYD LFP Blade · 59 kWh
CBAM-exposed
34%
steel + aluminium embedded
Supplier-primary
22%
pilot model, above book avg

Where the 12.4 t comes from Illustrative allocation

Cradle-to-gate, by system. The battery pack is the single largest contributor, and its carbon lives two and three tiers up, in the cell and the materials behind it.

Battery pack
4.8 t · BYD LFP 59 kWh
39%
Body · steel + Al
3.1 t
25%
Interiors · glass · tyres
1.3 t
10%
E-drive · Valeo 3-in-1
1.1 t
9%
Electronics · Bosch/Qualcomm
1.0 t
8%
Thermal · brakes · suspension
0.7 t
6%
Paint · assembly · logistics
0.4 t
3%

Measure the battery well and you have measured 39% of the vehicle. That is where the pilot starts.

The supplier cascade behind the number Suppliers publicly reported

The named tier-1 suppliers are public (Autocar Professional teardown). Below each is the tier-2 and tier-3 activity where the carbon actually forms. Emission factors and the split are illustrative until primary data lands.

SystemTier 1 · namedTier 2 · inputsTier 3+ · origint/veh
Battery pack59 kWh LFP BladeBYDLFP cathode, graphite anode, separator, electrolyte, Al casingLithium, phosphate, graphite mining · cell-plant grid4.8
Body-in-whitesteel + aluminiumM&M press shop + Al suppliersHot-rolled coil, Al extrusions, castingsIron ore · bauxite → alumina → smelting3.1
E-drive3-in-1 RWDValeoElectrical steel, copper windings, magnets, inverter SiCCopper · rare-earth · silicon1.1
ElectronicsVCU · SoC · displaysBosch, Qualcomm, Aptiv, YazakiDC-DC (Hungary import), Snapdragon 8295, HV harnessSemiconductor fab · copper1.0
Interiors & glassseats · glazing · tyresLear, MSKH, AIS, Saint-Gobain, GoodyearPolymers, foam, float glass, rubber, steel cordPetrochemicals · silica · natural rubber1.3

Bosch's DC-DC converter is imported from Hungary, and the body's steel and aluminium are CBAM-covered goods. Both are why the border-carbon number has to be traceable, not estimated.

Mahindra's stated plan Disclosed · public targets

Mahindra Auto is carbon-neutral by 2040 under Planet Positive, SBTi-validated, committed to RE100, and building INGLO electric SUVs for markets beyond India. The commitment is public. A supplier-primary product PCF is not yet in place to back it at the vehicle level.

18.5% → 100% RE

A public net-zero-2040 plan with a global EV product is a declaration waiting to happen.

Current PCF risk position Illustrative

Battery concentration
39%
of PCF in one system, the BYD LFP pack
CBAM cost · €80/t, if exported
₹30,700
per vehicle, on embedded steel + Al
Data defensibility
22%
supplier-primary, rest secondary or proxy
EU Battery Reg readiness
Low
declaration phasing, passport Feb 2027

Static today. Part 2 shows what moves them.

Part 2

Scenario: suppliers move to primary data

Model the cascade going primary

Drag supplier-primary coverage up and watch four numbers move: the footprint tightens, the CBAM cost falls, the declaration becomes audit-ready. Illustrative model

40%
Cradle-to-gate PCF
11.7 t
from 12.4 t/veh today
Supplier-primary coverage
40%
verified, part by part
CBAM cost · €80/t, if exported
₹28,900
per vehicle, on embedded steel + Al
Uncertainty band
±24%
narrows as primary data lands

One slider, four readings. Accuracy, cost and defensibility are the same move, read four ways.

Cradle-to-gate PCF to a verified baseline Illustrative projection

Today, secondary data · ≈12.4 t
Verified + abated · ≈11.7 t

The gap is real abatement made visible: green steel, low-carbon aluminium, RE-powered cells. You can only claim what you can trace.

The abatement this unlocks Illustrative

Each lever needs supplier-primary data to claim, and each is a real, sourced reduction once verified. Together they take the BE 6 from ≈12.4 to ≈9.2 t/vehicle.

LeverReductionWhere it actsStatus
Low-carbon aluminiumgreen / recycled Al0.9 t/vehBody, castings, pack casingPrimary data first
Green steelscrap-EAF / H2-DRI0.7 t/vehBody-in-white, chassisCBAM-relevant
RE-powered cell manufacturingBYD LFP, clean grid0.8 t/vehThe 39% battery blockSupplier ask
Closed-loop battery recyclingrecovered cathode metals0.3 t/vehCell materials, tier 2-3Open
Inbound logisticsmode + routing0.1 t/vehImported componentsOpen

What the supplier gets, and what Mahindra gets

This drilldown is also an offer you hand your suppliers. In a live pilot, a tier-1 like Valeo or a cell partner like BYD gets a supplier workspace on the same rails: their part-level inventory, a cradle-to-gate ledger they can hand every OEM customer, and primary data that raises their score with you. Mahindra gets a per-vehicle declaration that survives a CBAM and EU Battery Regulation audit, and an EV product ready to export.

Supplier scorecards Shared cradle-to-gate ledger CBAM-ready declaration EU Battery passport data

B2B2B: your pilot builds their capability. The same drilldown runs for all 15 models in the book.

Platform · allocation engine

Allocation engine: how a part becomes a number

A product footprint is the sum of its parts. The engine applies the right emission-factor basis for each material class, computes the cradle-to-gate contribution, and keeps the exact formula on every line, ready for an assurer.

Live allocation calculator

Pick a material class and move the inputs. The cradle-to-gate contribution recomputes instantly. The battery defaults reproduce the BE 6 pack, 4.8 t.

59 kWh
82
Contribution
4,838 kg
Share of a 12.4 t vehicle
39%

4,838 kgCO2e = 59 kWh × 82 kgCO2e/kWh

One basis per material class, applied automatically

The material tag set on each part decides which emission-factor basis the engine uses. Nothing is chosen by hand at calculation time.

Battery cells
kWh × cell + pack CF

Usable capacity times the cell and pack carbon factor, LFP lower than NMC.

Metals · steel & aluminium
Mass × material EF

Part mass times the route-specific factor. CBAM-covered goods.

Electronics & polymers
Mass × component EF

Semiconductor and polymer factors by mass, or per piece where declared.

Foundation · the ISO 14067 identity

The math underneath every number

cradle-to-gate PCF =
  Σ ( activity × emission factor )
  + process energy + logistics

functional unit =
  one vehicle

This single identity is the whole of a product carbon footprint. Everything else (the per-material bases above, the estimation ladder, the data-quality scores) exists to supply the two terms inside the sum honestly. Boundary = cradle-to-gate: raw material extraction through the factory gate, use phase excluded and stated. Aligned to ISO 14067 and the GHG Protocol Product Standard.

What the engine guarantees

Auto
Right basis, every part

Material tag selects the emission-factor basis. No manual choice at run time.

Trace
Formula preserved per part

The exact calculation is stored and shown in the audit trail for an assurer.

Live
Recalculation on updates

A fresh bill-of-materials or a new supplier factor re-runs allocation across the vehicle.

Flag
No silent movement

Every part whose number changed is flagged. The delta is never hidden.

Platform · estimation engine

Estimation engine: the highest-quality number the data allows

Real bills-of-material have gaps. The engine answers one question for every part: given the data available, what is the best ISO 14067-compliant estimate we can produce, and records the method, assumptions, confidence and date behind it. It is a decision engine, not a lookup table.

The estimation waterfall

The engine walks down from best data to weakest, stopping at the first method the part's data supports. Every step down is a lower-confidence estimate and a poorer primary-data score.

1
Supplier EPD, verifiedSupplier declares a verified ISO 14067 part footprint
1
2
Supplier-specific, unverifiedSupplier primary data, not yet assured
2
3
BOM × industry factorPart mass × Ecoinvent / industry emission factor
3
4
Mass / segment benchmarkComponent mass × segment-average intensity
4
5
Spend-based proxyPurchase value × EEIO emission factor
5

The estimate is a placeholder, honestly scored. As supplier primary data arrives, the part climbs the waterfall and the estimate is replaced, never overwritten silently.

How the engine is built · six services in sequence

Each estimate flows through the same pipeline. Click a stage to see what it does.

Data availability checker

Before estimating anything, the engine catalogues what data the part already has (supplier EPD, mass, material, supplier, tier, purchase value) and identifies the usable inputs.

Estimation method library

Each method declares its required inputs, applicable materials, expected confidence and data-quality score. Select one to inspect it.

Formula
Supplier EPD · ISO 14067
Typical useSuppliers with a verified product declaration
Required inputsVerified part-level PCF
ConfidenceVery high
Data score1
Worked example · Tier-1 e-drive (Valeo)

Verified EPD used directly, no estimation needed.

Declared 1,080 kgCO₂e
Contribution to vehicle PCF 1.1 t

Part estimate view

What the product team sees on a single estimated part.

Tier-2 cathode supplier
LFP active material · anonymised
5spend proxy
Estimated contribution
1,020 kgCO₂e
Method
Spend-based (EEIO)
Confidence
Low
Inputs used
✓ Purchase value✓ Material✓ Region
Missing
✗ Mass✗ Cell-plant grid✗ EPD
Improve this estimate

Every estimate carries its explanation

The human-readable record written to each estimated line. What an auditor reads first.

Estimated contribution1,020 kgCO₂e
MethodSpend-based (EEIO)
Purchase value$1,300 / vehicle
Material · regionLFP cathode · CN
Emission factor0.78 kg CO₂e / $
SourceEEIO database 2024
Primary-data score5
Reason: no supplier EPD or mass data was available. Purchase value, material and region were present, so spend-based was the only applicable method. A supplier EPD would move this to score 1.

Beyond compliance · what makes the engine useful

Suggest
Method recommendation

Auto-picks the highest-quality applicable method per part.

Gaps
Gap analysis

Highlights which missing data point would most improve quality.

What-if
Sensitivity analysis

Shows how the estimate moves under a different factor or method.

Bulk
Bulk estimation & refresh

Applies methods consistently across thousands of parts; flags lines a new factor release affects.

Reach
Outreach triggers

Generates supplier data requests where low-quality estimates cluster.

How we phase the build

Phase 1 · ISO 14067 foundation

Data-availability checker, rules-based method selection, mass/EF and cell-CF methods, versioned factor library, primary-data scoring, transparent calculation trace.

Phase 2 · operational maturity

Custom estimation rules per platform, automated factor updates, BOM-wide gap analysis, bulk recalculation, supplier primary-data-request workflows.

Phase 3 · intelligent estimation

AI extraction of PCF from supplier EPDs, ML method recommendation, anomaly detection on outliers, predictive estimation, abatement-scenario analysis.

Footprint · analytics

Read the vehicle line every way it matters

Cradle-to-gate embedded emissions across every dimension a product team and a compliance team ask for. Hover any metric for how it's derived. Illustrative

Total embedded emissions
≈9.0 Mt
absolute · cradle-to-gate
Avg cradle-to-gate
7.6 t/veh
weighted avg per vehicle
EV embedded intensity
13.2 t/veh
battery drives it up
Supplier-primary coverage
8%
the number to move
Weighted data quality
3.8
1 best · 5 weakest

Embedded emissions by segment

ICE SUVs carry the volume; the others bucket is tractors and small LCVs.

By material hotspot

Steel, aluminium and battery cells are where the carbon forms.

Units vs embedded emissions, by powertrain

Where the volume sits versus where the embedded carbon sits. EVs punch above their unit share.

Per-vehicle PCF vs annual units

Each bubble is a model; size is embedded emissions. High-footprint, high-volume is the priority quadrant.

Cradle-to-gate intensity vs 2040 pathway

Per-vehicle embedded intensity against the linear path a 2040 net-zero commitment implies. Illustrative

Platform · reporting & declaration

Build the declaration, do not retype it

Pick a framework and the sections you need. Every figure is drawn live from the bill-of-materials (emission factor, source and data-quality score attached) and assembles into a declaration you can generate and export.

Disclosure frameworks · create in one click

Expand any framework to preview the declaration live, drawn from the bill-of-materials. ISO 14067, the EU Battery Regulation and CBAM included.

Or build a custom disclosure

Pick sections, preview live, export

Report sections

Toggle what's included. The preview updates live.

Live preview ISO 14067
Foundations · datasets · emission factors · methods

Data registry: why an auditor trusts these numbers

Every factor, dataset and computation profile in the workspace, version-pinned and reproducible. The same rails run under allocation and estimation. This part is the real product, not a mockup.

Datasets registered
9
all version-pinned
Emission-factor sets
214
cell · metal · polymer · grid
Methodology profiles
4
public, versioned
Reproducibility
100%
same inputs, same result

Datasets & emission factors Version-pinned

DatasetCoverageUsed forVersion
ecoinvent_materialscradle-to-gate EF · metals, polymers, glass3,000+ processesBOM secondary factorsv3.10 · 2025
battery_cell_cfkgCO2e per kWh · LFP / NMC · by region gridCell + packBattery contributionrolling · quarterly
worldsteel_iai_metalssteel & aluminium route factorsGlobal routesBody, castings, CBAM2025 · v2
supplier_epd_registryverified ISO 14067 part footprintstier-1 & tier-2Primary-data linesrolling
eeio_spend_factorskgCO2e per $ purchaseCross-sectorUnmatched tail · score 5v4.1 · 2024
iea_grid_factorskgCO2e per kWh · by countryGlobalCell-plant & process energy2025
ipcc_ar6_gwpgas conversion factorsAll gasesEverythingAR6

Each factor carries its vintage. When CEA publishes v21, the registry versions it and every affected line re-computes, with the delta highlighted.

The methods that run on these datasets

Allocation and estimation are the two engines that turn these version-pinned factors into product carbon footprints. They live here in the foundations. Open either to see it work.

Allocation engineallocation

How a part becomes a number: mass times emission factor, cradle-to-gate, applied per material class, live.

Open allocation engine →
Estimation enginegap-filling

The highest-quality estimate the data allows: a waterfall from supplier EPD down to spend proxy, each scored.

Open estimation engine →

Methodology · public computation profiles

The versioned rules attribution and estimation run on. Public, so an assurer can read exactly what produced each number.

ISO 14067 cradle-to-gate allocation

Cradle-to-gate PCF = Σ (activity × emission factor) + process energy + logistics. Functional unit = one vehicle, use phase excluded and stated. Aligned to ISO 14067 and the GHG Protocol Product Standard. Runs in the allocation engine.

Part emissions · supplier-primary first primary-first

Prefer a verified supplier EPD; fall back to BOM mass × industry factor; then spend-based proxy. Every step is scored on the 1–5 data-quality scale. This is the estimation waterfall.

Scenario engine · primary-data uplift what analytics runs on

Re-runs the vehicle under different factor vintages, abatement levers or primary-data coverage. The sensitivity and trajectory views in analytics read from here.

Data-quality tiers, visible everywhere
SCORE 1
Supplier EPD, verified

Assured ISO 14067 part footprint, highest quality

SCORE 2
Supplier-specific, unverified

Supplier primary data, not yet assured

SCORE 3
BOM × industry factor

Part mass × Ecoinvent / industry EF

SCORE 4
Mass / segment benchmark

Component mass × segment average

SCORE 5
Spend-based proxy

Purchase value × EEIO factor

Why version-pin

A disclosure has to be reproducible years later. Pinning every dataset to a version means the same inputs always produce the same number, and when a factor updates, the change is explicit and the delta is flagged, never silent.

Foundations · where you stand

Your number, next to the ones that matter

On corporate disclosure you lead India's automakers. On product-level PCF the field is open at home, and global peers already compete there. That is the gap to close, and the reference to set.

Disclosure score · Indian autos Carbon X-Ray

M&M · with Climes
84
84
M&M · today
75
75
Tata Motors
54
54
Maruti Suzuki
54
54
Bajaj Auto
46
46

The X-Ray scores disclosure quality, not carbon volume. Mahindra leads India's listed automakers: SBTi-validated, net-zero 2040, Scope 3 disclosed across 8 categories. The gap to a top score is product-level defensibility.

Product-PCF readiness · global lens Aug 2026

OEMISO 14067EU Battery decl.Supplier-primary
Volvo / PolestarYesYesAdvanced
VW / AudiYesPilotPartial
Tata MotorsPartialNoNo
MahindraIn progressNoOpen · your move

Domestically you lead. Globally, product PCF is where Volvo and VW already compete. No Indian OEM holds a supplier-primary, CBAM-ready declaration. The first one sets the reference buyers read.

Foundations · artifacts

Everything the platform produces is an artifact

Source-linked, versioned outputs, not a black box. Each is traceable to the data and method behind it.

ArtifactWhat it isFormatStatus
Product-PCF workbookEvery part, formula, scoreXLSXLive
ISO 14067 declarationStandard-aligned PCF reportPDFLive
Bill-of-materials (normalised)Mapped to the part schemaCSVLive
Supplier PCF pack (BE 6)Supplier-ready, hand to tier-1PDFB2B2B
EU Battery passport dataCell CF, provenance, recycled contentJSONPreview
Audit trailEvery calc, dated & sourcedLogLive
Foundations · process

How the platform runs, operationally

Version-pinned datasets, reproducible runs, data-quality carried on every line. The operating discipline an assurance partner asks about.

The pipeline

1
Ingest & map

Bill-of-materials → part schema

2
Classify & tag

Material class sets the EF basis

3
Allocate & estimate

ISO 14067 math + gap-filling

4
Review & score

Primary-data quality per part

5
Declare & refresh

Declaration, then re-run on updates

The operating rhythm

Monthly

BOM deltas land; emission factors refresh on new supplier data.

Quarterly

Versioned model-year close, supplier primary-data requests, product-committee pack.

Yearly

ISO 14067 declaration, EU Battery / CBAM filings, BRSR value-chain tie-back.

Everything runs on the same baseline. Year two is refresh, not rebuild.

Platform · scale & customise

One engine, every model, configured to your process

The ISO 14067 rails that resolve the BE 6 extend to every model, plant and sector Mahindra runs, and the platform is configured to how you already operate rather than the other way round.

Beyond the BE 6

Extend product PCF to every model and sector you build

The emission-factor basis changes per material; the workflow, data-quality scoring and declaration do not.

🚙
Auto vehicle line

SUVs and pickups, cradle-to-gate per model, allocated part by part. Live in this demo.

In this demo
🚜
Farm Equipment

Tractors, the world's largest maker by volume. Cradle-to-gate plus a very different use-phase story.

Same rails
🛺
Last Mile & 2W

Electric three-wheelers and small commercial EVs, where the battery is again the hotspot.

Same rails
🔩
Components & aftermarket

Parts sold to other OEMs, as verified cradle-to-gate EPDs your customers can consume directly.

Same rails

Each sector is a different use case: different data sources, approval chains and declarations. We configure the workflow and platform to the process, not the other way round.

Customisation · fits your stack and your workflow

Built to sit inside how you already operate

🔌
Native PLM & ERP integration

Connect securely to PLM/BOM and ERP systems to pull part, mass, material, supplier and origin data in real time. No manual bill-of-materials uploads once live.

🔎
PCF & CBAM screening in sourcing

Embed footprint, CBAM exposure and supplier data-quality checks directly into supplier selection and sourcing, so every new part is screened at award.

🌱
Power design-for-environment

Use the baseline to drive material substitution, low-carbon steel and aluminium, and DfE targets per model. Every design choice tracked against the same measured baseline.

⚙️
Configurable workflows & approvals

Roles, maker-checker approval chains, entity hierarchies and declaration frameworks are configured to Mahindra. The platform adapts to each use case.

The measured book is the foundation. Integration and screening turn it into a live control that shapes what you finance next.

Honesty rail

How this was built

What's real, what's illustrative, and why we demo it this way.

Disclosed · real & sourced

Mahindra's FY25 BRSR figures (Scope 1 67,829 t, Scope 2 249,830 t, Scope 3 94.56 Mt across 8 categories), the 75/100 Carbon X-Ray rating and rank 9 of 1,246, SBTi validation, the net-zero-2040 commitment and 18.5% RE. The BE 6 / XEV 9e supplier map is publicly reported (Autocar Professional teardown): BYD LFP Blade cells, Valeo 3-in-1 e-drive, Bosch, HL Mando, Mahle, Yazaki, Continental, HL Klemove, Aptiv, Qualcomm, Lear, AIS, Saint-Gobain, Goodyear and Webasto, on the INGLO platform with 59 and 79 kWh packs. The regulatory dates and the ISO 14067 / GHG Protocol Product methods are public.

Illustrative · replaced in a pilot

Every per-vehicle PCF (the BE 6's 12.4 t and its system split), the ≈9.0 Mt model-year book total, per-model volumes and per-vehicle factors, the ≈8% supplier-primary coverage, the CBAM cost figures, the abatement pipeline, the uncertainty bands and the data-quality distribution are illustrative, replaced by your real bill-of-materials and supplier data in a pilot. The 75 to 84 rating movement is an illustrative projection. The Mahindra name and logo are trademarks of Mahindra & Mahindra Ltd. We use them here to identify the company for this illustrative demonstration.

Why we demo this way

Carbon-OS is a working ISO 14067 platform. The import, allocation, estimation, analytics and reporting modules are the real product. This workspace is populated with a simulation on Mahindra's public disclosures and the public BE 6 supplier map so you can see the platform work end to end. A scoped pilot replaces every illustrative figure with your BOM and supplier data, usually inside 90 days.

We prefer an honest simulation to a pretend product. The engine is real. The declaration the world is about to demand is real.

From here · the end of the walkthrough

One product footprint, then one small ask

You saw the platform import, allocate, estimate, analyse and declare. This page shows the path, and the one thing we ask for.

What this means, seat by seat

Product & LCA

The per-vehicle PCF your net-zero-2040 plan needs at the vehicle level, not just the group.

Procurement & supplier quality

The scorecard that turns spend proxies into verified supplier primary data.

Regulatory & exports

The CBAM and EU Battery declaration your INGLO export plan requires.

The 2040 pledge

The product-level baseline that carbon-neutral-2040 currently lacks.

The path, if this is right

Workspace seeded

Public FY25 disclosures + supplier map

Done · Aug 2026
2
BE 6 supplier pilot

Your BOM + top-20 suppliers

~90 days
3
Adjacent EV models

XEV 9e, XEV 9S

MY27
4
Full line + Farm

Every model + tractors

MY27+

The ask

Not a programme, and not a commitment today. Give us the BE 6's real bill-of-materials and your top-20 suppliers' primary data, under NDA, and we will replace the illustrative figures in this workspace with your actual cradle-to-gate baseline. Read-only, one model, one owner.

Read-onlyOne model Under NDAYour actual number, not an estimate

Upload wizard

Upload a file, try a sample, or report emissions manually.

1Upload file
2Review mapping
3Validation
4Results
Drag and drop your file here
or browse from your computer

CSV bill-of-materials or supplier activity files such as part mass, battery cell data, purchased steel and aluminium, and more.

OR

Try a sample file

Start with an example CSV to explore the upload flow without your own data.

OR

Report emissions manually

Enter a final emissions total when you already have the result and do not need a file upload.

📄 sample.csv · 8 columns · 1,204 rows

We matched your columns to the ISO 14067 part schema. Adjust any that look wrong.

Your columnPart-schema fieldStatus
part_noPart identifierMatched
mass_kgMassMatched
materialMaterial classMatched
supplierSupplier · tierMatched
spend_usdSpend (fallback)Review
1,204
rows parsed
1,197
rows valid
7
rows flagged
3
emission factors applied
Materials resolved against the Ecoinvent / worldsteel factor sets
Every part assigned a primary-data quality score
! 7 parts missing a mass, defaulted to spend proxy (Score 5), flagged
4,838 kgCO2e
calculated for this part file · battery pack · BE 6
Score 3 weighted data-quality across the file
Result written to the workspace and available in analytics
Full calculation trace attached for assurance

In the live product this part joins the bill-of-materials and every downstream number (allocation, analytics, declaration) recomputes.

Your 5-minute tour
Step 1 of 6 · The product number

Start at the dashboard: Mahindra discloses 94.5 Mt of Scope 3, but the per-vehicle product footprint underneath it is not yet supplier-primary. That gap is what CBAM and the EU Battery Regulation now want closed.

ClimesAI
Ask me about anything in this workspace: a number, a method, or where to click next.