The data layer for industrial suppliers.
Suppliers already have the data — in bills, registers, photos and WhatsApp messages. Emissio collects it through familiar channels, structures it automatically, keeps the evidence attached, and makes it reusable wherever compliance asks.
Built against the standards your buyers cite
Stop chasing supplier data for every new compliance framework. Collect it once and reuse it across every reporting standard.
Everything around your compliance data, in one workspace
Emissio does not just return a number. It captures the message, the document and the context around every value, so the record survives the question that comes after it.
Data pipeline
WhatsApp Upload
8 min agoelectricity_bill_july.pdf received
OCR Extraction
7 min ago48,260 kWh · 94% confidence
Validation Engine
NowChecking against July baseline
Factor Matching
CEA v20 · 0.71 kgCO₂e/kWh
Emission Calculation
Deterministic · no AI arithmetic
Expected result
34.26 tCO₂e
Activity × factor · awaiting validation
Capture
WhatsApp, voice notes, photos, PDFs and spreadsheets. Suppliers send data the way they already work — no new portal to learn.
Assisted extraction
electricity_bill_july.pdf
WhatsApp upload · #EL-2026-0721
Electricity consumption
48,260 kWh
Billing period
July 2026
Meter
HT-2 · 11 kV
Supplier
Empire Auto
Uploaded
02 Aug 2026
Extraction confidence
94%Processing chain
- AI extraction
- Structured activity data
- Validation
- Deterministic calculation
- Evidence-backed result
Structure
OCR and extraction turn documents into activity data. Validation and normalisation catch the gaps before anything is calculated.
EU buyer request
Completion
86%
6 / 7
items complete
- ElectricityFiled
- ProductionFiled
- FuelFiled
- TransportFiled
- Raw materialsFiled
- CertificatesFiled
- Freight distanceMissing
Reuse
One structured record answers a CBAM package, a Scope 3 dataset, a customer questionnaire and an audit — without recollection.
Workspace
Every angle of your supplier data, in one place
Intake, extraction, completeness, evidence and buyer requests sit side by side — the same surfaces an operations team works in every day.
Automated data pipeline
Every document flows through a deterministic, auditable pipeline — OCR, extraction, validation, factor matching, and calculation in sequence.
Source Upload
PDF ingested
OCR Extraction
94% confidence
Validation
Checking thresholds
Factor Match
CEA v20 · 0.71
Calculation
Queued
electricity_bill_july.pdf
Empire Auto · WhatsApp upload · 02 Aug 2026
Consumption
48,260 kWh
Factor
0.71
Emissions
34.26 tCO₂e
Supplier coverage
See where your entire portfolio stands at a glance — completeness, evidence, and verification across every supplier.
Connect your sources
WhatsApp, email, PDF and ERP — every channel feeds the same structured record.
Supplier inbox
Forwarding rules
PDF Upload
Auto-ingested
ERP System
API connector
Outputs
AI gap analysis
Ask what's missing for any submission. Emissio surfaces the exact gaps by supplier.
What's missing for Empire Auto's CBAM submission this quarter?
Found 3 gaps across Empire Auto's dataset:
Natural gas consumption
No reading since 12 Jul
Freight distance
Transport leg missing
Production quantity
Register uploaded, unparsed
Action: Send WhatsApp request for gas & logistics data
Audit trail
Every extraction, match, anomaly and verification is logged in real time.
Record verified
VerifiedElectricity bill · Empire Auto
Anomaly flagged
AnomalyGas value 3× above baseline
Extraction complete
48,260 kWh · 94% confidence
Document received
electricity_bill_july.pdf
Request sent
Monthly collection · Pravat Fab.
Why teams move beyond spreadsheets and scattered requests
A workbook can hold a number. It cannot show where the number came from, whether the supplier ever confirmed it, or which request already asked for it.
Spreadsheets + email
- Manual entry from bills and registers
- The same request sent again every quarter
- Evidence living in someone's inbox
- Disconnected files across suppliers
- Data that cannot be reused for the next obligation
- Numbers that go stale between reporting cycles
Emissio
- WhatsApp-native collection from the source
- Automated follow-ups until the record is complete
- Evidence attached to every extracted value
- One structured record per supplier
- Reuse across CBAM, Scope 3 and buyer questionnaires
- Deterministic calculations with versioned factors
Extracted Payload
94% ConfidenceElectricity consumption
48,260 kWh
Billing period
July 2026
Meter
HT-2 · 11 kV
Calculation Engine Logs
Deterministic tracing for all records.
| Source | Activity | Factor | Result (tCO₂e) |
|---|---|---|---|
| electricity_bill_july.pdf | 48,260 kWh | × 0.71 (CEA v20) | = 34.26 |
| diesel_receipts_q3.xlsx | 2,450 L | × 2.68 (DEFRA) | = 6.57 |
| coal_register.csv | 145 tonnes | × 2.41 (EPA) | = 349.45 |
| logistics_manifest.pdf | 14,500 t-km | × 0.14 (GLEC) | = 2.03 |
Supplier data
Verified
132
Needs review
31
Incomplete
21
Evidence coverage
79%
| Supplier | Completeness | Status | Updated |
|---|---|---|---|
Pravat Fabricators Adityapur | 94% | Verified | 2h ago |
Empire Auto Jamshedpur | 78% | Needs review | 5h ago |
Eastern Engineering Howrah | 91% | Verified | Yesterday |
Adityapur Components Gamharia | 62% | Missing data | Yesterday |
Kalinga Metal Works Cuttack | 71% | Processing | 3 days ago |
Shree Rolling Mills Raipur | 88% | Submitted | 4 days ago |
Odhisha Steel Bhubaneswar | 97% | Verified | 1 week ago |
Apex Industrials Kolkata | 74% | Needs review | 1 week ago |
Meghalaya Mining Shillong | 82% | Processing | 2 weeks ago |
Ranchi Castings Ranchi | 55% | Missing data | 2 weeks ago |
Surya Equipment Nagpur | 99% | Verified | 3 weeks ago |
Deccan Heavy Hyderabad | 93% | Verified | 1 month ago |
Latest activity
Electricity bill received
WhatsApp · Empire Auto · 2 min ago
48,260 kWh extracted
OCR · confidence 94% · 8 min ago
Evidence matched to July record
electricity_bill_july.pdf · 14 min ago
Fuel data request completed
Pravat Fabricators · 22 min ago
Emissions recalculated
Activity × factor · v3 · 41 min ago
Found 3 critical gaps in the July submission:
Natural gas consumption
No reading since 12 July
Production quantity
Register uploaded, values unparsed
Freight distance
Transport leg not declared
Demo data · example suppliers · Q3 2026
FAQs
Answers to what suppliers and exporters ask us first. Anything else, write to us and we'll respond directly.
General
Emissio is a data layer for industrial suppliers. It collects operational data through the channels suppliers already use, structures it into reusable records, and keeps the source evidence attached to every value.
Supplier-side operations and compliance teams, and the exporters and buyers who depend on supplier data being complete, current and defensible.
A request goes out over WhatsApp or email, the supplier replies with a bill, photo, voice note or spreadsheet, and Emissio extracts the values and files them against the right record.
Data
Yes. WhatsApp is a first-class intake channel: attachments, photos and voice notes are all accepted and routed to the right supplier record.
A photo of a meter reading, an invoice or a handwritten register is enough to start. Emissio extracts what it can and flags what still needs confirmation.
Every extracted value keeps a link to the file it came from, when it arrived, who sent it and the extraction confidence, so the record can be reviewed later.
Compliance
Yes. Structured activity data and emission factors produce a reporting-ready package, with the underlying evidence bundled alongside it.
That is the point of the data layer. One collected record can serve CBAM, Scope 3, buyer questionnaires and internal reporting without asking the supplier again.
Calculations are deterministic — activity data multiplied by a versioned emission factor. AI assists with extraction, never with the arithmetic, and each result keeps its inputs and factor version.
Security
Records are stored against your organisation only, with access scoped to the users you invite and a log of who changed what.
Only the people you grant access to. Buyers see what a supplier chooses to share for a given request.
Yes. Records, calculations and the underlying evidence can be exported at any time in standard file formats or read through the API.