SYSTEM STATUS: OPERATIONAL // 2026
The world's first autonomous AI carbon intelligence platform for European enterprises. 500k+ emission factors. Real-time Scope 1–3. Zero guesswork.
Inference engine
v2.4 · live
Fig. 01 — Emissions neural mesh
THE FUTURE OF
Intelligence
STARTS BEFORE
The First Audit.
WORKFLOW // AUTOMATED
EDUCATION // GHG PROTOCOL
A corporate carbon footprint measures greenhouse gas emissions across three scopes defined by the GHG Protocol — the global standard used for CSRD, SBTi, and CDP reporting.
SCOPE 1 // DIRECT
Combustion in boilers, company vehicles, refrigerant leaks, and on-site industrial processes. These are emissions from sources your organisation owns or operates.
Typical mid-market share
SCOPE 2 // ENERGY
Indirect emissions from electricity, steam, heating, and cooling bought for your operations. Location-based and market-based methods both matter for CSRD.
Typical mid-market share
SCOPE 3 // VALUE CHAIN
The full value chain — purchased goods, freight, business travel, employee commuting, product use, and end-of-life. Often 60–90% of a company's total footprint.
Typical mid-market share
GHG Protocol categories mapped
Scope 3 Cat. 1–15
Emission factors in library
DEFRA · EPA · ecoinvent
SBTi-aligned pathways
Science-based targets
CSRD climate disclosure
Audit-ready narratives
METRIC_01
12450tCO₂e processed this month
SENSORS ACTIVE
CONFIDENCE: 99.9%
07.29.2026 // 17:17 UTC
METRIC_02
97%Reporting time reduction
CSRD COMPLIANCE
CONFIDENCE: 98.4%
07.29.2026 // 17:17 UTC
INSIGHTS // BLOG & NEWS
Regulatory updates, methodology guides, and reduction strategies for sustainability teams navigating CSRD and decarbonisation.
INDUSTRY PULSE // LIVE FEED
UPDATED WEEKLY
First sustainability statements under CSRD must include ESRS E1 climate metrics with limited assurance.
Open source
Streamlined pathway for companies under 500 employees submitting 1.5°C-aligned targets.
Open source
New factors for product energy consumption over lifetime — relevant for equipment manufacturers.
Open source
Auditors outline minimum evidence requirements for emission factor selection and data lineage.
Open sourcePhotography via Unsplash — free to use under the Unsplash License
EARLY DETECTION
AI identifies emission anomalies before they impact your CSRD disclosure.
FASTER REPORTING
From weeks of manual work to audit-ready ESRS reports in hours.
CONTINUOUS MONITORING
Autonomous agents track regulatory changes and supplier data around the clock.
OUR PURPOSE
We exist to help businesses understand their environmental impact with confidence. By turning complex carbon data into clear insights, we make sustainability practical, measurable, and achievable for everyone.
MISSION
VISION
VALUES
PLATFORM // MODULES
01
Ingest invoices, ERP exports, and utility bills. AI classifies and calculates emissions with zero manual data entry.
02
Generate audit-ready ESRS disclosures, GRI Standards reports, and EU Taxonomy alignment documents in a single click.
03
Ask your emissions data anything in plain language. Qlim AI understands Scope 3 drivers, compliance gaps, and reduction scenarios.
04
Request, collect, and score supplier primary data. Identify high-risk suppliers before they impact your CSRD disclosure.
05
Never miss a CSRD, CBAM, or EU Taxonomy deadline. Autonomous agents track regulatory changes and alert your team proactively.
06
Model fleet electrification, renewable PPAs, and supplier engagement programmes with financial ROI and tCO₂e impact projections.
QLIM AI // CLIMATE INTELLIGENCE
We are always working on AI research in climate change. Qlim AI tracks every data point through ingest, lineage, and reasoning — so you get answers you can audit and act on.
SOLUTIONS // INDUSTRY
MID-MARKET MANUFACTURERS
We bridge the gap — connecting SAP, Oracle, and custom ERPs to our emission factor library and generating your ESRS E1 disclosure automatically.
12× faster Scope 3 data collection
LOGISTICS & TRANSPORT
Qlimwelt ingests fleet telematics, fuel receipts, and freight invoices to calculate upstream and downstream transport emissions with primary data accuracy.
89% reduction in manual freight data entry
FINANCIAL SERVICES
Financed emissions calculation aligned with PCAF methodology, integrated with your loan book and investment portfolio data.
PCAF-aligned in 6 weeks
INSIGHT // 01
“Every number tells a story. Every insight creates an opportunity.”
PRICING // TRANSPARENT
COMPANY // ORIGIN
THE PROBLEM
Sustainability teams spend 80% of their time collecting and cleaning data — leaving only 20% for actual analysis and strategy.
OUR APPROACH
We use LLMs and structured extraction to automate the 80%. Invoices, PDFs, and ERP exports become clean emissions data automatically.
THE RESULT
Audit-ready accuracy with full data lineage. Auditors can trace every tonne of CO₂ back to its source document.
Pratik Rughe
FOUNDER & CEO // QLIMWELT AI
Carbon accounting has a data quality crisis. The tools were built for checkbox compliance, not genuine decarbonisation. We built Qlimwelt to change that.
GET STARTED
REQUEST // DEMO
