Available Carbon Accounting Features
Missing Carbon Accounting Features
Pricing
Starting Price
Options
Available Since
Deployment Options
- Web Browser (Cloud - Based)
Good Option For
- Small Business (11-50 people)
- Medium Business (51-250 people)
- Large Business (250+ people)
Deep dive
Core Features
pacemaker.ai combines machine learning with companies’ internal data and industry knowledge, supplementing these inputs with external influencing factors where relevant. Its sustainability offering uses recognized calculation methodologies, while its Product Carbon Intelligence solution applies machine learning to emissions accounting. Its features include:
Corporate Carbon Footprints: Calculates organizational emissions across Scopes 1–3, providing companies with a consolidated basis for carbon management and sustainability reporting.
Product Carbon Intelligence: Uses machine learning to automate product carbon footprint calculations, including Scope 3.1 analysis and an ISO 14067 allocation model for Scope 1 and 2 emissions.
Transport Emissions: Calculates transport emissions down to shipment level in accordance with ISO 14083 and GLEC, including allocation across logistics networks.
Alternative Transport Scenarios: Models multimodal pre-, main-, and post-carriage routes and identifies alternatives with lower emissions, connecting carbon calculations with transport planning.
ESG & CSRD Management: Guides users from materiality assessment and ESG data collection through goals, measures, and audit-ready reporting in accordance with ESRS requirements.
EU Taxonomy Assessment: Evaluates eligible business activities against EU Taxonomy criteria covering turnover, CapEx, and OpEx and generates auditable reporting outputs.
Closing Insights
pacemaker.ai originated as a thyssenkrupp project in Lisbon in 2021, initially applying AI to industrial supply-chain forecasting. Its sustainability capabilities expanded in 2023 with a machine-learning carbon intelligence module. A significant development followed in 2025 when pacemaker acquired Luxembourg-based WAVES, bringing its Sustainability Management Platform into the portfolio and broadening pacemaker.ai from carbon intelligence into more comprehensive ESG management.
Recent product development has focused on improving the accuracy and scalability of Product Carbon Intelligence. pacemaker.ai introduced rule-based matching to improve the assignment of emission factors and manually annotated emissions data to create benchmark data for its collaboration with AI Singapore, aimed at improving its matching algorithm. Beyond software development, pacemaker.ai combines its platform with sustainability consulting spanning carbon accounting, regulatory reporting, strategy development, decarbonization action plans, and implementation.