Accurate carbon accounting is no longer optional for businesses aiming to meet regulatory requirements and stakeholder expectations. Yet many organisations struggle with fragmented data sources, manual spreadsheets, and unclear emissions boundaries. PySquad builds end-to-end carbon accounting and emissions-tracking platforms using Python, machine learning, and intuitive dashboards to turn raw energy, travel, and procurement data into clear, auditable carbon metrics. Our approach combines automated data ingestion, robust emissions factor libraries, and AI-assisted anomaly detection so you get reliable, transparent carbon reports that support decision-making and compliance.
Problem businesses face
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Scattered data across systems (energy meters, invoices, transport logs, procurement).
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Manual spreadsheet calculations prone to errors and inconsistencies.
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Difficulty mapping activities to Scope 1, 2, and 3 emissions.
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Lack of real-time visibility into emissions hotspots.
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Challenges meeting regulatory or voluntary reporting standards.
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No easy way to model reduction scenarios or measure progress.
Our solution
PySquad delivers a turnkey carbon accounting platform built on Python and AI. We connect to IoT meters, ERPs, procurement systems, and third-party APIs to centralise usage and activity data. Our platform normalises inputs, applies verified emissions factors, and runs ML models to detect anomalies and estimate missing data. Interactive dashboards provide real-time KPIs, trend analysis, and downloadable, audit-ready reports. We also include scenario modelling for reduction pathways and API hooks to export data into finance or sustainability systems.
Key features
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Automated data ingestion from meters, CSVs, ERPs, and APIs.
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Emissions factor library and configurable calculation rules.
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AI-assisted gap-filling and anomaly detection.
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Scope 1, 2 and 3 categorisation and reporting.
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Interactive dashboards with drill-downs and filters.
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Scenario modelling and reduction pathway simulations.
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Audit-ready export (PDF, CSV) and integration APIs.
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Role-based access control and data lineage tracking.
Benefits
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Reliable, auditable carbon metrics without manual overhead.
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Faster, data-driven sustainability decisions.
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Clear visibility of emissions hotspots and trends.
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Easier compliance with reporting frameworks and regulations.
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Better stakeholder transparency and ESG disclosures.
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Faster modelling of reduction strategies and cost impacts.
Why choose PySquad
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Deep technical expertise in Python, data pipelines, and ML.
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Practical experience building sustainability platforms and dashboards.
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Focus on human-first design: dashboards that non-technical teams can use.
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Secure, compliant data handling and traceability for audits.
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End-to-end delivery from integration to reporting and ongoing support.
Call to Action
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Want clear, auditable carbon accounting without spreadsheets?
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Need real-time emissions insights and reduction modelling?
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Looking to automate sustainability reporting and compliance?
• Schedule a discovery call with PySquad • Request a demo with your data