Industrial · CSRD · CBAM · ISSB · SBTi
One granular base layer. Every report. Every model.
The granular data infrastructure industrials use to satisfy CSRD, CBAM, ISSB, and SBTi — and to deploy AI on operations.
Thai Airways, Mitsubishi Electric, Jurong Port, KTIS, Punggol District, and a dozen others run Evercomm's NXOps + NXMap + NXPlan stack on top of the Nx-Engine — ingesting sensor, meter, and ERP data at source, structuring it to ISO 14064 and ISSB-grade standards.
01 / The industrial shift
Industrials are moving from annual GHG inventories to continuous operational telemetry.
Annual GHG inventories were defensible when regulators wanted an annual number. They aren't defensible now.
CBAM · EU
Embedded emissions per shipment.
Not a portfolio rollup — actual product-level, batch-level, shipment-level embodied carbon for steel, cement, aluminum, fertilizers, hydrogen, and electricity exported into the EU.
CSRD / ESRS
Policies, actions, metrics tied to operations.
Limited assurance from 2024, reasonable assurance arriving. Generic narrative no longer survives the audit. Operational data must back every disclosure.
ISSB S2
Consistent methodology, period over period.
Scope 1, 2, and material Scope 3 with the same methodology across reporting periods. Spreadsheet inventories fail this immediately.
SBTi
Targets a board can defend with operational evidence.
Not aspiration — pathways tied to actual operating realities. Capex sequencing, technology pathway choice, marginal abatement curves built from operational data.
None of these can be satisfied from an annual carbon spreadsheet. They need a continuous, granular, source-traceable data layer that the operations team and the sustainability team are looking at together. That's what Evercomm has been building since 2013.
02 / What Evercomm runs underneath the industrial
The granular data layer between operations and every standard you report to.
Built around the same Nx-Engine that powers the banking deployment. The connectors differ; the data discipline is identical.
| Layer | Product | What it does in industrial |
|---|---|---|
| Ingest | NXOps | Connects DCS, SCADA, ERP, BMS, fleet telematics, utility meters, supplier feeds. ISO 14064-compliant lineage from source to disclosure. |
| Measure | NXMap | Compliance and emissions inventory. Multi-standard (ISSB, ESRS, GRI, SBTi, TGO, CBAM, ISO 14064). Position-level, audit-ready. |
| Simulate | NXPlan | Reduction strategy. Marginal abatement curves, technology pathways, capex sequencing, SBTi target alignment, financed-transition modelling. |
| Engine | Nx-Engine v2.4.1 | Granular data engine underneath all three. Powering AI on operations — predictive maintenance, energy optimisation, Scope 3 supplier engagement. |
03 / Use cases
What industrial teams actually do with it.
Sustainability & ESG
Multi-framework disclosure from one base.
CSRD / ESRS E1–E5, ISSB S2, GRI, TGO disclosures from one granular base. Verify to ISO 14064 with full source lineage. Pass limited- and reasonable-assurance audits without scrambling.
Operations & engineering
Same data, ops dashboards and compliance.
Real-time energy, water, and emissions visibility across plants, ports, fleets, buildings. Anomaly detection. Process-level efficiency. The same data feeds reports and ops dashboards — no parallel systems.
CFO & strategy
Decarbonisation modelled against capex.
Scenario simulation tied to capex. CBAM exposure modelling on actual shipment-level embedded emissions. Internal carbon pricing on real positions. SBTi targets that survive board scrutiny.
Data, AI & digital
AI agents on operations data with lineage.
Predictive maintenance, demand forecasting, supplier-level Scope 3 engagement, anomaly investigation. Every figure traceable to a source record. No hallucination, no fabricated readings.
04 / What the data looks like
Operations and emissions on the same screen.
Sample dashboard from a manufacturing deployment — figures illustrative, structure live. Both the ESG team and the operations team are looking at this; both see the same lineage.
Group Scope 1+2 emissions
847,290tCO₂e YTD
↓ 14.6% vs FY24 same period
Energy intensity
3.42MWh / tonne
↑ 8.1% efficiency gain
CBAM exposure (Q1)
€2.18M
⚡ tracked at shipment-level
Facility-level emissions snapshot
Top 5 contributing facilities · Scope 1+2 · 2026 YTD · illustrative
| Facility | Type | Energy (MWh) | Emissions (tCO₂e) | Intensity | Verification |
|---|---|---|---|---|---|
| Bangkok manufacturing | Plant | 142,800 | 98,420 | 3.18 MWh/t | Verified |
| Jurong port operations | Port | 98,420 | 52,180 | n/a | Verified |
| Fukuyama assembly | Plant | 87,140 | 38,920 | 2.74 MWh/t | Verified |
| Kanchanaburi sugar mill | Plant | 76,820 | 41,310 | 4.12 MWh/t | Pending |
| Aviation fleet · base | Fleet | 52,610 | 68,420 | n/a | Verified |
05 / Featured deployments
A decade of granular-data deployments across APAC industry.
Selected. Many more under NDA.
Thai Airways
Aviation · in active deployment
Emissions, energy, and operational reporting across aviation operations. Granular fuel and route data tied to operational disclosures.
Mitsubishi Electric · Fukuyama
Manufacturing · POC
Proof-of-concept measuring carbon footprint of operations. Granular plant-level data ingested from existing factory systems.
Jurong Port
Port operations · production
Smart multi-energy infrastructure, energy and emissions optimisation across port operations and tenant facilities.
KTIS
Agriculture · production
Low-carbon planning for the world's largest sugar mill. NXPlan scenario simulation across milling, transport, and supply chain.
Punggol District
District infrastructure
District infrastructure energy and emissions optimisation. Multi-stakeholder data layer across utility providers, building operators, and tenants.
SLEB
Buildings programme
Super Low Energy Buildings programme. Building-level operational telemetry feeding both compliance and operational efficiency.
06 / Standards & partners
Standards we operate to
GRI
ISSB
S1 · S2
ESRS
E1–E5
ISO 14064
67 · 68
SBTi
TGO
Thailand
CBAM
EU
ISSA 5000
Strategic partners
Mitsubishi Electric
Shell Energy
BlueOnion
Bureau Veritas
ITRI
MFLF · Mae Fah Luang
Recognition
B Corp Certified
APEX Singapore 2025
COP28 partner
TGO Thailand recognition
07 / FAQ
Questions we hear from industrial teams.
A carbon accounting tool produces a number. Evercomm produces the data layer underneath the number — the source-traceable, position-level, multi-standard base that lets the same data answer CSRD and CBAM and ISSB and feed your operations AI without three parallel reconciliations. Many customers keep their carbon tool and put Evercomm beneath it.
No. NXOps connects to DCS, SCADA, BMS, ERP, and meter systems read-only, on a defined cadence, with full lineage. The control systems keep doing their job. Evercomm makes their data usable for compliance and AI.
Supplier-level Scope 3 is structured against the same granular base. Where suppliers can provide data, NXOps ingests it directly. Where they can't, the EF Library provides region- and sector-tagged factors with explicit data-quality scoring — so your disclosures show what's measured versus what's estimated, the way ISSB and ESRS require.
Yes — that's the design point. Each standard is a rule pack against the granular base, not a separate database. New regimes ship as new rule packs. Your data team builds the foundation once.
Typical phases: source-system mapping across DCS / SCADA / ERP (6–10 weeks), Nx-Engine deployment with calibration against a baseline cycle (12–16 weeks), and parallel-run on existing reporting before cutover. Total elapsed time depends on the breadth of facilities — Mitsubishi POC was 8 weeks, Jurong Port multi-tenant was 9 months.
Explore other sectors
Same infrastructure, different sectors.
01 / Banking
Position-level financed emissions.
Building with SMBC and CTBC. PCAF v2025, MAS 610, and the ABS Q3 reveal.
See the banking platform → 03 / Public sectorAccountable, AI-ready public reporting.
The 2026 design partner cohort for government, healthcare, education, and NGOs.
See the public-sector platform →Talk to an industrial specialist.
Whether you're scoping CSRD readiness, modelling CBAM exposure, setting an SBTi target, or designing the operations data layer for AI — there's a focused conversation to have.