Industrial SCADA control panel at night with instrumentation and sensors

Signal Ingest.

Name: Carbonova Build
Brand: Carbonova

Connect any data source — from SCADA to legacy spreadsheets — into a consistent, versioned flow. Industrial signal ingestion and normalization 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.

CONTACT

EXPLORE

[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, TOTVS, Senior, e-invoicing systems, TMS/WMS, SCADA/IoT and energy utilities.

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Automatic Normalization

Automatically normalizes 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, standardized data ready for emissions modeling.

Ultra-Low Latency

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

"Industrial data fragmentation across SCADA, ERPs, IoT, and legacy systems is one of the most cited blockers for real-time emissions monitoring in heavy industry — the gap isn't missing data, it's the lack of a unified ingestion layer."

Industrial Data Landscape

SCADA · ERP · IoT · Legacy systems

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 analyzing carbon emissions data

[our purpose]

Signal Ingest is Carbonova’s data ingestion and normalization 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, TOTVS, Senior, e-invoicing (including Brazil’s NF-e/NFS-e), TMS/WMS, SCADA/IoT and energy utilities.

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

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

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 normalized, versioned stream.

01 · CONNECT

Native connectors, no middleware

SCADA, historians, SAP, Oracle, TOTVS, Senior, e-invoices, TMS/WMS, IoT and meters — typical integration in 2–8 weeks.

02 · NORMALIZE

Units, tags and timestamps in one standard

Heterogeneous signals are standardized 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

Normalization

● versioned

Deployment

2–8 weeks

illustrative data from the demo environment

SCADASAPTOTVSOracleSeniorE-invoicesHistorianIoT

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

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 CSRD and IFRS S2) and follows emissions reporting and carbon market standards. All rights reserved © Carbonova Tecnologia LTDA.