Industrial SCADA control panel at night with instrumentation and sensors

Signal Ingest.

Connect any data source — from SCADA to legacy spreadsheets — into a consistent, versioned flow. Industrial signal ingestion and normalisation with ultra-low latency and complete traceability.

Industrial Data Ingestion

Connect SCADA, ERPs, IoT and legacy data into a unified, versioned flow. Ultra-low latency and full traceability to feed your GHG inventory.

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[signal ingest]

From any data source to a unified, traceable flow.

Multi-Protocol Ingestion

Processes thousands of signals per second, with native connectors for SAP, Oracle and other ERPs, e-invoicing systems, TMS/WMS, SCADA/IoT and energy utilities.

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Automatic Normalisation

Automatically normalises and versions all incoming data, ensuring end-to-end traceability and reproducibility.

Asset Graph Feed

Directly feeds the Asset Graph and Sentinel AI with clean, standardised data ready for emissions modelling.

Ultra-Low Latency

Millisecond-level processing, ensuring operational changes are instantly reflected in carbon modelling.

The GHG Protocol asks companies to account for all emission sources within the chosen inventory boundary and to use consistent methods over time, so that emissions can be compared meaningfully from year to year.

GHG Protocol (WRI and WBCSD)

Corporate Standard, revised edition (2004)

Processing latency in industrial and environmental signal ingestion.

100%

Of data versioned and traceable, ensuring reproducibility in audits.

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Industrial facility monitored by the CarbonOS carbon management system

Sustainable logistics and low-carbon transportation

Corporate team in a meeting about climate compliance

Sustainability specialist analysing carbon emissions data

[our purpose]

Signal Ingest is Carbonova’s data ingestion and normalisation layer. It receives signals from diverse sources — SCADA, ERPs, IoT sensors, energy meters, and legacy data — and transforms them into a unified, consistent, and versioned flow that feeds the entire platform.

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[how it works]

From raw signal to audit-ready data.

Industrial operation with Carbonova carbon management

Native connectors for global and regional systems: SAP, Oracle and other ERPs, e-invoicing, TMS/WMS, SCADA/IoT and energy utilities.

Automatic normalisation and versioning of all incoming data, ensuring traceability and reproducibility for audits.

Direct feed to Asset Graph and Sentinel AI with clean, standardised data for real-time emissions modelling.

unified
data

industrial
signals

[ON THE PLATFORM]

How it works in CarbonOS

The layer that speaks the plant’s language: SCADA, ERP, IoT, meters and legacy data become a single normalised, versioned stream.

01 · CONNECT

Native connectors, no middleware

SCADA, historians, SAP, Oracle, TOTVS, Senior, e-invoices, TMS/WMS, IoT and meters, starting from the data the plant already has.

02 · NORMALISE

Units, tags and timestamps in one standard

Heterogeneous signals are standardised and versioned — every reading stamped with its source and time.

03 · DELIVER

One auditable stream for all of CarbonOS

Feeds inventory, risk and planning from the same source, with high data quality built in.

app.carbonova.ai · Signal Ingest

Integrations · live stream (demo)

Connected sources

6 · SCADA, ERP, IoT, e-invoices, Historian, Meters

Throughput

8.4k signals/s

Normalisation

● versioned

Deployment

from existing data

illustrative data from the demo environment

SCADASAPTMS/WMSOracleMetersE-invoicesHistorianIoT

CREATE ACCOUNT Book a guided demo →See the interactive demo on the home page →

[Frequently asked questions]

Industrial data ingestion: frequently asked questions

Straight answers about Signal Ingest, the CarbonOS layer that connects and normalises plant data. To see it with your own systems, book a demo.

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What is Signal Ingest from Carbonova?

Signal Ingest is the data ingestion and normalisation layer of CarbonOS. It receives signals from SCADA, historians, ERPs, IoT sensors, energy meters, e-invoices, transport and warehouse systems and legacy spreadsheets, standardises units, tags and timestamps and versions every reading, producing one stream that feeds every agent on the platform.

What problem does Signal Ingest solve, and for whom?

It solves scattered data: in many plants, energy, fuel, production and purchasing data sit in different systems, each with its own units, codes and frequencies, and the inventory depends on exporting and pasting spreadsheets. It serves IT and automation, process engineering, energy and sustainability teams that need reliable data without building integrations one by one.

How does Signal Ingest connect to plant systems, and what does it do with the data?

It uses connectors for SCADA and historians, ERPs such as TOTVS, Senior, SAP and Oracle, e-invoicing systems, TMS/WMS, IoT, meters and energy utilities, as well as legacy files. Each reading is stamped with its source and time, converted to standard units and tags and given a version, so any later calculation can be reproduced.

Which data quality standards does Signal Ingest help meet?

Signal Ingest supports the five principles the GHG Protocol sets for inventories: relevance, completeness, consistency, transparency and accuracy (WRI and WBCSD, 2004). Because every reading is versioned and traceable to its source, a verifier can rerun the calculations, which helps verification under ISO 14064-3, and every report starts from the same data.

How does Signal Ingest feed the other CarbonOS agents?

It is the platform’s front door. It delivers clean data to Asset Graph, which links it to assets and energy flows; to Sentinel AI, which monitors for anomalies; to Carbon Intelligence, which calculates the inventory; and to Proof Engine, which keeps the lineage. Risk Management and Decarbonization Planner use the same source, which avoids different numbers for the same plant.

Do I need to replace systems or install new sensors to use Signal Ingest?

No. Implementation starts from the data the plant already has: SCADA, historians, ERP, invoices, meters and even legacy spreadsheets. Signal Ingest connects to those systems without replacing them. In a guided 30-minute demo, a specialist looks at the sources you have and gives an initial diagnosis; timelines and scope depend on each operation.

Normas de referência

This website is for institutional and informational purposes only. The information on it does not constitute a public offering of securities, financial advice, or a guarantee of future results. Carbonova operates in compliance with applicable local and international regulations (including NGER and AASB S2) and follows emissions reporting and carbon market standards. All rights reserved © Carbonova Tecnologia LTDA.