🎯 The only AI that finds perfect emission factors from 200K+ datasets on it's own, delivers 💯 accurate calculations, auto-fills your Excel sheets, and makes carbon compliance actually manageable. Finally ⚡.
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.
Calculation accuracy? 100%
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.
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Democratizing Carbon Tracking
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.
For those joining hands to help us build for the future: You'll have access to all 200K+ datasets for free. Yes, we're not like others charging $1,500-$2,500/month for what costs them $30-40.
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.
Join us in making carbon tracking accessible to everyone.
DATASET INTEGRATION PROGRESS
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Chat - Flexible Query
This enables you to ask for calculations using your own words. Our AI is flexible enough to understand natural, conversational language and provide instant, accurate answers.
Excel - Flexible Calculations
This allows you to upload spreadsheets. The AI flexibly processes different formats to find the right data and perform calculations automatically, auto populate the sheets and give it back to you.
Chat - Autonomous Discovery
Our AI remembers the full context of your conversation. It can autonomously discover information from previous messages to answer complex questions, even if you leave out a detail or do not give adequate data.
Excel - Autonomous Discovery
It autonomously discovers and connects all relevant data points to ensure your calculations are complete and accurate even when some of the required data is missing in the excel sheets without manual guidance.
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System Info
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Intelligent Document Processing Through Computer Vision
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.
●SYSTEM STATUS: ACTIVE
■Processing Data...Processing...
◆ESG DATA PROCESSING PIPELINE◆
ENERGY BILLS & INVOICES
OCR & DATA EXTRACTION
TEXT QUERY
AI ANALYSIS
EXCEL SHEET
AI ANALYSIS
CARBON CALCULATIONS
DRAFT REPORTS (CSRD, SEC etc)
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System InfoSystem
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Personalised AI With Unlimited Context
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.
NoCarbon knows you
YOUR COMPANY\nDATA & DOCS
Securely processed\n& analyzed
EXTENDED AI\nMEMORY
RAG-powered\ncontextual understanding
INTELLIGENT\nOUTPUTS
Automated reports &\ncalculations
PRIVACY NOTICE
This extended memory module is entirely optional. You can opt out anytime for privacy reasons without affecting core calculation capabilities.
Privacy-First Architecture
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.
Seamless Integration With any LLM
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).
TABLE OF CONTENTS [v1.0]
[ modules: 6 ⋅ data sources: 12+ ]
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. COMPLIANCEIn 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.
COMMON QUESTIONS
01
HOW DO YOU ACHIEVE 100% CALCULATION ACCURACY?
We use Anthropic's MCP (Multi-Call Protocol) with function calling architecture. Each calculation invokes specific functions for exact carbon computations, eliminating manual errors and ensuring precision every time.
02
WHICH EMISSION DATASETS DO YOU SUPPORT?
We integrate 200K+ datasets including UK DEFRA, GLEC, EXIOBASE, IPCC, PCAF, real-time CarbonIntensity API, and more. Our AI automatically selects the most accurate regional factors for your specific use case.
03
CAN I USE MY OWN COMPANY'S LLM?
Yes, our function calling architecture has no LLM lock-in. You can integrate your in-house open-source LLMs while maintaining the same performance level. All data stays within your infrastructure.
04
HOW DOES THE AI HANDLE MISSING DATA?
Our AI intelligently finds missing parameters - it identifies fuel types from machine names, fills gaps using conversation context, and autonomously discovers information from previous uploads or messages.
05
WHAT ABOUT DATA PRIVACY AND STORAGE?
Company names are encrypted into identifiers. RAG files are processed to vectors then deleted. Excel files are deleted after processing, with outputs available for 1-hour download only.
06
WHICH DOCUMENTS CAN YOUR AI PROCESS?
We use document-specific OCR models trained on energy bills, logistics invoices, travel receipts, and purchase orders. Supports PDF, JPG, PNG, Excel, CSV formats from any global supplier.
07
DO YOU AUTO-POPULATE EXCEL SHEETS?
Yes, upload your CRM spreadsheets and we calculate emissions, create dedicated columns, and populate values automatically. Download the completed sheet with all carbon calculations filled in.
08
HOW DO I ACCESS THE FREE DATASETS?
Sign up with us and get free access to all 200K+ datasets, what others charge $1,500-2,500/month for. Just agree not to replicate our database. We're democratizing carbon tracking.
CURRENT PROGRESS: AI TRAINING & DATA INTEGRATION
Development Status
Closed Beta
POC
Prototype
MVP
Closed Beta
Open Beta
V 1.0
DATA SOURCES
A SUSTAINABILITY INTELLIGENCE ENGINE FOR THE ESG COMPLIANCE ERA. BUILT BY DEVELOPERS WHO UNDERSTAND BOTH CARBON ACCOUNTING AND AI INFRASTRUCTURE.
A SUSTAINABILITY INTELLIGENCE ENGINE FOR THE ESG COMPLIANCE ERA. BUILT BY DEVELOPERS WHO UNDERSTAND CARBON ACCOUNTING AND AI INFRASTRUCTURE.
