Thanks Carbon Selected for KDB NextONE and IBK Changgong

Korean climate tech company secures dual institutional backing

Thanks Carbon, an artificial intelligence company specialising in carbon emissions analysis, has been selected for two prominent Korean startup programmes. The firm will join KDB NextONE and IBK Changgong, according to VentureSquare. Both programmes provide institutional support to early-stage technology companies.

The selection reflects growing commercial interest in systems that can verify carbon reduction claims with quantitative data. For UK businesses facing stricter reporting requirements, this development signals a broader shift. Carbon data is moving from estimated projections to measured outcomes.

KDB NextONE operates as a startup incubation channel backed by Korea Development Bank. Meanwhile, IBK Changgong provides similar support through Industrial Bank of Korea. Securing places in both programmes typically indicates commercial viability alongside technical credibility.

Why verification matters more than estimation

Carbon markets and regulatory frameworks increasingly demand verifiable proof of emissions reductions. Estimates and intentions no longer satisfy reporting standards. Consequently, businesses need systems that can collect, process, and validate emissions data at scale.

Artificial intelligence enables this shift through several mechanisms. Machine learning algorithms can process satellite imagery, sensor networks, and operational data simultaneously. This creates near-real-time monitoring capabilities that were previously unavailable.

For example, AI systems can standardise emissions factors across different facilities and geographies. They can also identify patterns in energy consumption that human analysts might miss. As a result, companies gain more accurate baselines for reduction targets.

Research published in PubMed demonstrates these capabilities in practice. Studies show AI can combine remote sensing with ground-level sensors to produce high-resolution emissions maps. Furthermore, predictive analysis helps businesses model the impact of operational changes before implementation.

Commercial pressure drives adoption of measurement tools

UK businesses face similar pressures to demonstrate carbon performance with credible data. Public procurement rules now require suppliers to report emissions through frameworks like PPN 06/21. Additionally, larger customers increasingly audit supply chain emissions as part of their own Scope 3 reporting.

This creates demand for systems that can automate data collection while maintaining audit trails. Manual spreadsheet tracking becomes impractical when reporting covers multiple sites, transport routes, and supplier relationships. Moreover, verification requires consistency that manual processes struggle to achieve.

The financial sector compounds this pressure through ESG investment criteria. Funds want comparable, verified data rather than self-reported estimates. Similarly, banks now factor climate risk into lending decisions, which requires borrowers to demonstrate emissions management.

Industry research indicates AI applications extend beyond monitoring into operational optimisation. Transport logistics, building energy management, and industrial process control all benefit from AI-driven efficiency improvements. These systems can identify reduction opportunities while maintaining production targets.

However, the technology also presents implementation challenges. Data quality issues can undermine AI model accuracy. Integration with existing business systems requires technical expertise and investment. Therefore, businesses need realistic assessments of costs against regulatory requirements and commercial benefits.

Investment signals institutional confidence in climate data infrastructure

The dual selection of Thanks Carbon indicates institutional investors see carbon data infrastructure as commercially viable. KDB NextONE has expanded its geographical reach and programme scale in recent years. This suggests sustained confidence in climate technology as an investment category.

IBK Changgong provides complementary support through different channels. When early-stage companies secure backing from multiple institutions, it typically reflects validation of both business model and technical approach. Nevertheless, institutional selection does not guarantee commercial success.

For UK observers, this development illustrates how carbon data capabilities attract backing beyond traditional sustainability narratives. Investors focus on practical tools that solve specific compliance and verification problems. They prioritise measurable value over broad environmental claims.

The trend appears across multiple markets. European and North American investors similarly back companies offering emissions measurement and verification platforms. This suggests the shift from estimation to verification represents a structural change rather than temporary focus.

What UK businesses should understand about this development

• Thanks Carbon secured places in both KDB NextONE and IBK Changgong startup programmes, indicating institutional confidence in carbon data technology.
• The selection highlights growing demand for systems that verify emissions reductions with quantitative data rather than estimates.
• AI-based monitoring combines satellite imagery, sensor networks, and machine learning to enable near-real-time emissions tracking.
• UK businesses face similar verification pressures through procurement rules, supply chain audits, and ESG investment criteria.
• Carbon data infrastructure attracts institutional backing because it addresses specific compliance and reporting requirements.

Practical considerations for carbon measurement and reporting

UK manufacturers and service companies should assess their current carbon data capabilities against emerging standards. Specifically, businesses need to evaluate whether existing tracking methods can produce audit-ready evidence of emissions reductions. Many discover their current approaches lack the granularity that procurement teams and investors now expect.

The distinction between Scope 1, 2, and 3 emissions matters increasingly for reporting accuracy. Scope 1 covers direct emissions from owned sources. Scope 2 includes purchased energy. Scope 3 encompasses supply chain and product lifecycle emissions. AI systems can help categorise emissions correctly across these boundaries.

Supply chain emissions present particular challenges because they require data from multiple organisations. Therefore, businesses need coordination mechanisms alongside measurement tools. Standardised reporting formats help, but they require supplier engagement and technical capability throughout the chain.

Building energy management offers a practical starting point for many SMEs. Smart meters and building management systems generate data that AI algorithms can analyse for efficiency opportunities. Similarly, transport logistics generate GPS and fuel consumption data suitable for algorithmic optimisation.

Our net-zero programme helps businesses establish measurement baselines and reporting frameworks that satisfy procurement requirements. We work with companies to identify which data sources provide reliable emissions evidence. Additionally, we help assess whether AI-based tools offer proportionate value for specific operational contexts.

Businesses should also consider the skills required to implement and maintain advanced monitoring systems. Technical staff need training in data management and emissions accounting principles. Furthermore, senior teams must understand how to interpret AI-generated insights and translate them into operational decisions.

The regulatory landscape continues to develop. UK requirements will likely move closer to EU standards as international climate frameworks converge. Consequently, businesses benefit from systems that can adapt to changing reporting requirements without complete replacement.

Where to find authoritative guidance and technical standards

The Department for Energy Security and Net Zero publishes policy updates and guidance on UK emissions reporting requirements. Their resources cover regulatory obligations for different business sizes and sectors.

For procurement-specific requirements, the PPN 06/21 guidance on carbon reduction plans explains what public sector suppliers must demonstrate. This includes measurement methodologies and evidence standards.

The Institute of Environmental Management and Assessment offers professional standards for environmental data management and reporting. Their guidance helps businesses understand verification requirements and audit processes.

Technical specifications for emissions calculations appear in the government’s conversion factors for company reporting. These factors provide standardised methods for converting operational data into carbon dioxide equivalent figures. Regular updates reflect improved scientific understanding and measurement techniques.