Let's face the truth: carbon emission calculation is complex. No matter how sophisticated your high-priced ESG software claims to be, it still fails to do that one thing - making it simple for you.
Dozens of sector-specific, national, and corporate-level frameworks exist, creating an ecosystem of over 100+ variants. Each framework contains thousands of emission factor sets. The challenge? Finding the most accurate and suitable emission factor for your specific use case.
Your data lives everywhere - spreadsheets, invoices, energy bills, travel documents, logistics bills, or purchase orders from across the globe. NoCarbon's AI, trained on 200K+ datasets, identifies the most accurate granular-level emission factors for your exact use case.
NoCarbon leverages Anthropic's MCP (Multi-Call Protocol), a specific function-calling protocol that invokes the exact functions needed for each calculation type - ensuring precision every time.
We're a team motivated to democratize carbon emission tracking. We envision a world where tracking is seamless and cost-effective, enabling larger inclusivity.
We don't just believe in words - we believe in execution.
What Climatiq charges under its core subscription data features will be completely free for you.
All you need to do is sign up with us - ensuring you won't replicate our database. We know it's massive to believe, but we're doing unreal things to achieve real outcomes.
NoCarbon effortlessly calculates carbon emissions from your uploaded spreadsheets, invoices, energy bills, travel documents, logistics bills, or purchase orders from anywhere in the world.
But we go beyond simple calculation. NoCarbon auto-calculates and auto-populates emission values directly in your spreadsheets. Simply download spreadsheets from your CRM, provide them to NoCarbon - it will calculate the carbon emissions, create a dedicated emission column, and populate the values automatically.
& INVOICES
EXTRACTION
CALCULATIONS
(CSRD, SEC etc)
This AI is personal to you. What does that mean?
NoCarbon follows an engineering pattern mimicking the human brain, providing unlimited contextual memory by design. You have the option to use a personalized RAG (Retrieval-Augmented Generation) system as an extension of memory with your AI assistant.
Upload all your project-specific or company-specific documents to its memory. NoCarbon will then calculate carbon emissions and write CSRD reports that are perfectly streamlined with your specific use cases and applications.
DATA & DOCS
& analyzed
MEMORY
contextual understanding
OUTPUTS
calculations
Concerned about privacy? While NoCarbon maintains long contextual memory and reads data from your invoices and energy bills, it's engineered with privacy at its core.
NoCarbon never remembers specific company names or project names. Instead, it converts them to encrypted identifiers that represent those entities. It maintains context based on these encrypted IDs only - identifying your conversations about specific companies, use cases, or departments through secure encryption.
For highly privacy-oriented use cases, if you already operate an LLM application or personalized open-source LLM within your company, the entire NoCarbon system can be integrated with your LLM. All data remains within your infrastructure.
How? Through our function-calling protocol approach, widely known as Anthropic's MCP (Multi-Call Protocol).
1. CARBON ENGINE
- High accuracy calculation
Leverages Function Calling (MCP) protocol with a web of interconnected functions working seamlessly. Each calculation invokes precise functions ensuring 100% accuracy in carbon emission computations.
- Scope 1, 2, 3 calculations
Comprehensive emission calculations following GHG Protocol standards. Scope 1 (direct), Scope 2 (purchased energy), and Scope 3 (value chain) emissions with full categorization and reporting.
- Multi-unit processing
Handles diverse measurement units including kWh, litres, kg, cubic meters, and more. Automatic unit conversion and validation ensures accurate calculations regardless of input format.
- Regional variations
Automatically uses region-specific datasets when available for highest accuracy. Adapts calculations based on local emission factors, energy mix, and geographic characteristics.
- Automated factor selection
AI-powered selection of appropriate emission factors based on fuel type, usage context, and temporal factors. Reduces human error and ensures consistency across calculations.
- Intelligent Human-like
Auto-finds missing parameters - identifies fuel type from machine names, fills gaps using conversation context. AI understands what you mean and intelligently completes calculations with available data.
- Audit trail
Provides complete transparency with detailed calculation audit trails. Shows exactly how each emission value was computed, which factors were used, and all data sources referenced.
2. DOCUMENT AI
- Invoice processing
Automatically extracts relevant data from supplier invoices including energy consumption, fuel purchases, and service charges. Identifies emission-relevant line items for carbon accounting.
- Utility bill scanning
Processes electricity, gas, and water bills to extract usage data, billing periods, and meter readings. Handles multiple utility provider formats and layouts.
- Document type Specific OCR
Specialized OCR models trained on specific document types - energy bills, logistics invoices, travel receipts, purchase orders. Each model optimized for its document category ensuring highest accuracy.
- Data validation
Multi-layered validation including format checking, range validation, and consistency checks against historical data. Flags anomalies for manual review.
- Pattern recognition
Machine learning models trained to recognize utility bill layouts, invoice formats, and data patterns. Improves accuracy through continuous learning from processed documents.
- Multi-format support
Handles PDF, JPG, PNG, Excel, and CSV formats. Adaptive processing pipeline adjusts extraction methods based on document type and quality.
3. COMPLIANCE In development
- CSRD automation
Automated Corporate Sustainability Reporting Directive compliance for EU companies. Generates required sustainability statements with double materiality assessments and ESG metrics.
- Double materiality
Systematic assessment of environmental and financial materiality as required by CSRD. Identifies material sustainability matters affecting both company performance and external environment.
- SEC disclosures
Supports US Securities and Exchange Commission climate disclosure requirements. Generates climate-related financial risk assessments and scope 1, 2, 3 emissions reporting.
- ISSB standards
Compliance with International Sustainability Standards Board requirements. Provides climate-related financial disclosures and sustainability-related financial information.
- EU Taxonomy
Assessment of economic activities against EU Taxonomy criteria for environmental sustainability. Determines taxonomy-aligned revenue, CapEx, and OpEx percentages.
- Audit-ready reports
Professional-grade reports with full data lineage, methodology documentation, and audit trails. Meets external auditor requirements for ESG assurance engagements.
4. DATA SOURCES
- Government emission databases
Official government sources including UK DEFRA (2024), German UBA, and French ADEME databases. Provides nationally approved emission factors for regulatory compliance and reporting across multiple jurisdictions.
- Real-time grid intensity
CarbonIntensity API providing live electricity carbon data. Tracks renewable vs fossil fuel generation mix with 30-minute updates, enabling dynamic carbon calculations based on actual grid conditions.
- Financial sector standards
PCAF (2023) database for financed emissions calculations. Enables banks and investors to measure portfolio carbon footprint following Partnership for Carbon Accounting Financials methodology.
- Scientific climate data
IPCC (2019) emission factors and CEDA (2025) environmental datasets. Peer-reviewed scientific data providing foundational climate science parameters for accurate carbon accounting.
- Supply chain & logistics
GLEC (2024) framework for logistics emissions and EXIOBASE (2022) for global supply chains. Covers transportation modes, international trade flows, and multi-regional input-output analysis.
- Industry & materials databases
ECOINVENT life cycle inventory, ICE embodied carbon data, and EPD product declarations. Comprehensive material and process emission factors for construction, manufacturing, and industrial applications.
- European environmental data
EEA (European Environment Agency) datasets providing EU-wide emission statistics, air quality data, and environmental indicators. Ensures compliance with European sustainability regulations.
5. AI & ML
- LLM integration
Function calling architecture with inbuilt MLOps but no LLM lock-in. Compatible with multiple LLMs including your own in-house open-source models, delivering consistent high performance across platforms.
- Qdrant vector database
High-performance vector database storing embeddings of ESG regulations, standards, and technical documentation. Enables semantic search and contextual information retrieval.
- Personalised RAG architecture
Upload files, folders, and manage your personal RAG with Google Drive-like simplicity. Add whatever knowledge you want your AI to have in its brain - company docs, policies, or custom data.
- NLP processing
Natural language processing for document understanding, query interpretation, and response generation. Extracts structured data from unstructured text and enables conversational interfaces.
- Automated insights
Machine learning algorithms identify patterns, trends, and anomalies in emissions data. Provides predictive analytics and actionable recommendations for carbon reduction.
- Contextual guidance
AI-powered advisory system providing regulatory guidance, methodology recommendations, and compliance insights based on company profile and industry context.
6. PRIVACY
- RESTful APIs
Privacy-first API design with encrypted data transmission and strict authentication protocols. All API endpoints follow zero-trust security principles with rate limiting and access controls.
- GDPR compliance
Full GDPR compliance with data minimization, purpose limitation, and user consent management. Right to erasure, data portability, and transparent processing ensure complete regulatory adherence.
- Secure processing
End-to-end encryption for all data flows, role-based access control, and comprehensive audit logging. Multi-layer security architecture protects sensitive carbon accounting information.
- Encrypted entity protection
Company and project names converted to encrypted identifiers. NoCarbon maintains context through secure encryption only, never storing actual company names or sensitive project details.
- Zero-storage RAG processing
Uploaded RAG files are never stored - processed directly to vector database then deleted. Your documents are converted to embeddings without retaining original files, ensuring data privacy.
- Temporary file handling
Excel files deleted immediately after processing. Calculated sheets available for 1-hour download window only, then auto-deleted. No permanent storage of your sensitive calculation data.
