SustainableFinance

KisStartup – Synthesis and Analysis

Green FinTech was once commonly associated with “green investment apps” or environmentally friendly digital banking services. However, between 2024 and 2026, the focus has shifted significantly. Emission measurement technologies and standardized carbon data infrastructure (carbon data + reporting) are increasingly becoming a foundational layer of modern capital markets.

In other words, many Green FinTech solutions no longer begin with carbon credits or green lifestyle products. Instead, they start with a very practical question from banks and investors: How much does a company emit, what is its transition risk, and how reliable is the underlying data?

StartUs Insights notes that the wave of green finance companies and climate-tech solutions is expanding rapidly across Europe, the United States, and Asia. Within this trend, data infrastructure for emissions measurement and management is emerging as a critical enabler for sustainable finance products. [1]

Why Emissions Measurement Is Linked to Cheaper Loans

At its core, interest rates reflect the price of risk. As climate risk and transition risk become integrated into credit models, emissions are no longer a CSR narrative—they become a financial variable.

Research published on arXiv identifies a positive correlation between corporate carbon emissions (particularly Scope 1) and loan spreads. Companies with higher emissions tend to face higher borrowing costs because credit markets increasingly interpret environmental performance as a risk factor. [2]

While each financial institution has its own risk model, the underlying logic is similar:

• Higher emissions → higher perceived transition risk
• Poor or missing emissions data → greater uncertainty
• Greater uncertainty → higher cost of capital

Banks themselves also face pressure to measure financed emissions—the emissions associated with their lending and investment portfolios. The Partnership for Carbon Accounting Financials (PCAF) has established standardized methodologies for measuring and reporting these emissions within the financial sector. [3][4]

As banks are required to disclose financed emissions, they increasingly need carbon data from their corporate clients—especially SMEs—to reduce reliance on rough proxies or estimates. This creates a major opportunity for Green FinTech: transforming fragmented operational data (electricity consumption, fuel usage, logistics, procurement, etc.) into structured carbon datasets that banks can integrate into credit scoring and risk pricing.

Reducing Friction for SMEs

Within the European Union, the issue is often framed as reducing access barriers for SMEs. A report by the Platform on Sustainable Finance highlights the need to simplify and standardize sustainability-related data requirements so that smaller companies can access sustainable financing. [5]

At the same time, policymakers face a delicate balance: sustainability data must be robust enough to maintain the credibility of green finance, yet overly complex reporting requirements could overwhelm SMEs. Consequently, there is growing demand for FinTech solutions capable of delivering emissions measurement that is fast, affordable, and standardized. [6]

The Global Architecture of Green / Climate FinTech

Across different regions, emissions-focused Green FinTech is converging toward a similar technological architecture.

1. Carbon Accounting SaaS as Data Infrastructure

The first generation of carbon software primarily produced ESG reports. The new generation is evolving into data infrastructure, integrating enterprise systems such as ERP, accounting platforms, invoices, and supply chain databases. This automation enables Scope 3 management and produces audit-ready datasets. Once structured, these datasets can flow directly to banks, insurers, and investors as a new form of financial metadata.

2. Embedded Carbon

Carbon measurement is increasingly embedded within financial workflows—credit assessment, payments, trade finance, and guarantees. In this model, a Green FinTech company may not even be branded as a “carbon startup.” It could be an SME lending platform, trade finance provider, or digital bank that integrates emissions data to offer interest-rate incentives or expanded credit limits.

3. Standards and Interoperability

As multiple frameworks coexist (GHG Protocol, PCAF, corporate reporting standards, taxonomies), the competitive advantage lies not merely in calculating CO₂ emissions but in producing data in formats accepted by financial institutions and investors. CDP emphasizes the importance of aligning data structures between frameworks such as PCAF and CDP to improve usability. [7]

4. Risk Management and Regulation

As Green FinTech becomes more deeply embedded in financial decision-making, regulatory risk becomes more prominent, particularly in jurisdictions such as the EU where sustainability regulations can be interpreted differently across countries. Academic research also highlights the legal complexities of operating Green FinTech platforms within multilayered regulatory frameworks. [8]

This explains why many startups adopt B2B2FI strategies—selling their solutions to financial institutions or operating through compliance-strong partners rather than directly targeting consumers.

Why This Model Is Seen as a “Gateway to Capital”

Across major regions, emissions data is increasingly viewed as a gateway to accessing cheaper capital.

In Europe, regulation and market incentives require sustainability data for capital allocation while also pushing for simplified compliance pathways for SMEs. FinTech platforms can provide scalable digital solutions that banks struggle to build internally. [5]

In the United States, market pressure often comes from investors, supply chains, and large corporate buyers. Carbon reporting is gradually becoming a common language within supply chains and investment due diligence, enabling lower financing costs or access to climate-focused funds.

In Asia, the narrative often centers on ecosystem development. Financial hubs are positioning themselves as leaders in green fintech innovation, viewing climate and ESG data infrastructure as a competitive advantage for their capital markets. [9]

The better a financial center standardizes sustainability data, the faster it can design and distribute green financial products.

Three Critical Challenges for Emissions-Focused Green FinTech

1. Measurement Cost
If carbon measurement tools are expensive or require extensive consulting, SMEs will not adopt them—and banks cannot scale their use.

2. Data Reliability
Carbon accounting is vulnerable to the “garbage in, garbage out” problem. PCAF addresses this by introducing data quality scoring frameworks and encouraging a transition from proxy estimates to real operational data. [3][4]

3. Real Financial Incentives
Green FinTech becomes a true gateway to capital only when companies experience tangible financial benefits: lower interest rates, higher credit limits, reduced guarantee fees, or eligibility for blended finance programs.

Without clear financial incentives, emissions measurement risks becoming merely another reporting obligation.

© Copyright KisStartup. Any reproduction, citation, or reuse must clearly attribute KisStartup as the source.

References
[1] StartUs Insights, “10 Top Green Finance Companies and Startups to Watch in 2026,” Sep. 17, 2025. (StartUs Insights)
[2] arXiv, “Engineering Carbon Credits with AI…” (loan spreads and emissions relationship), arXiv:2501.14750v2, 2025. (arXiv)
[3] PCAF, “The Global GHG Accounting and Reporting Standard for the Financial Industry,” Standard overview page, 2022–2025. (Carbon Accounting Financials)
[4] PCAF, The Global GHG Accounting and Reporting Standard Part A: Financed Emissions (Second Edition), Dec. 2022. (Carbon Accounting Financials)
[5] European Commission (Platform on Sustainable Finance), Report: Streamlining Sustainable Finance for SMEs, Mar. 21, 2025. (Finance)
[6] Reuters, “EU advisers propose plan to cut corporate green reporting by a third,” Feb. 5, 2025. (Reuters)
[7] CDP, “CDP–PCAF Alignment: Simplifying Reporting on Financed Emissions,” Sep. 19, 2024. (cdp.net)
[8] S. Heseková, “Regulatory Risk in Green FinTech: Comparative Insights…,” MDPI Finance Research Letters? (MDPI journal page), 2026. (MDPI)
[9] Fintech News Hong Kong, “Hong Kong’s New Green Fintech Sector Features 64 Companies…,” Aug. 5, 2025. (Fintech Hong Kong)

KisStartup – Compilation and Analysis

A rather unusual moment is unfolding in global business: nature—once discussed mainly through emotions, ethics, or social responsibility—is increasingly being spoken of in the language of data. Not because humanity has suddenly become more romantic, but because markets have reached a threshold: if nature-related risks are real risks, then they must be measurable, trackable, and manageable.

This is where a new group of startups is emerging: nature tech / biodiversity tech. They are not doing conservation in the traditional sense. What they build looks closer to fintech: measurement infrastructure that brings nature into corporate boardrooms, bank audit reports, and investor metrics.

When nature becomes “a system to be measured”

For years, questions like “Is this area biodiversity-rich?” were answered through time-consuming field surveys, heavily dependent on experts and difficult to compare across projects. Yet modern economies follow a simple rule: what cannot be measured is very hard to manage.

Today, markets are beginning to demand metrics on the state of nature, not just commitments or CSR narratives. New frameworks such as TNFD – the Taskforce on Nature-related Financial Disclosures are explicitly designed to help companies and investors identify dependencies, impacts, risks, and opportunities related to nature in a decision-useful way—that is, usable in financial decision-making [1], [2].

As reporting frameworks and expectations take shape, the question shifts from “Do you care about nature?” to “How are you measuring nature?” From KisStartup’s perspective, this is the inflection point: a new governance demand is creating a new data market.

Capital is flowing—but cautiously

Recent reports show that venture capital investment in nature tech is growing rapidly. According to Serena Capital, total VC funding into nature tech reached approximately USD 2.1 billion in 2024, up about 16% compared to 2023 [3], [4]. While still small compared to AI or broader climate tech, this signals something more important: investors are beginning to see a new layer of data infrastructure around nature, similar to how financial data once formed its own market.

However, the funding structure reflects an early-stage reality. Most deals remain at seed and Series A, indicating that the market is still testing a very practical question: can nature data become a repeatable, subscription-based service, or will it remain limited to research projects and pilots?

NatureMetrics: when biodiversity data becomes a commercial product

A representative example of biodiversity tech is NatureMetrics (UK). In January 2025, the company announced a USD 25 million Series B round led by Just Climate, with participation from EDF Pulse Ventures and Monaco ReOcean Fund, alongside existing investors such as BNP Paribas, Ananda Impact Ventures, and SWEN Blue Ocean [5], [6].

What matters is not the USD 25 million figure itself, but how NatureMetrics packages nature as a data product. Using eDNA (environmental DNA)—DNA found in water, soil, or sediment—they detect species presence and transform complex biological results into nature intelligence for businesses [7], [8].

NatureMetrics’ clients are not buying “DNA.” They are buying the ability to see and manage nature-related risks in a way that integrates into ESG frameworks, risk reporting, and decision-making processes. The Nature Intelligence platform is positioned as a subscription service, allowing companies to track biodiversity over time, compare across sites, and generate reports aligned with emerging disclosure requirements [5], [9].

At this point, biodiversity tech begins to resemble a data services industry, rather than a purely biological discipline.

Why the technology is “just mature enough” to leave the lab

The rise of nature tech is not driven by a single breakthrough, but by a sufficiently mature technology stack. eDNA enables faster, less invasive, and more standardized measurement. AI processes massive volumes of biological and image data that previously relied heavily on expert interpretation. Satellites, drones, and sensors provide spatial and time-series data, turning isolated observations into dynamic systems. Cloud infrastructure allows all of this to operate as a service.

Yet from KisStartup’s perspective, the decisive factor is not technology—but trust in data.

“Trust in data”: the biggest barrier—and the strongest competitive advantage

Nature data only becomes valuable when it is trusted enough to inform major decisions: project approvals, credit allocation, risk insurance, or supply chain restructuring. As a result, biodiversity tech startups must win on three fronts simultaneously:

1. Methodological standardization: sampling, error control, and QA/QC.
2. Interpretability: what the data says—and equally important, what it does not say.
3. Acceptance: by regulators, consultants, investors, and standards such as TNFD [1], [2].

It is no coincidence that many nature tech startups adopt a “ground-truth first, scale later” strategy—running pilots with credible institutions, participating in standard-setting, and building scientific legitimacy before expanding commercially.

When nature enters Excel, the key is acting on the numbers—correctly

Turning nature into a measurable system may sound cold, but it could mark a positive turning point. Measurement enables better governance, more efficient capital allocation, and reduced “greenwashing by narrative.” The challenge is not converting nature into numbers, but converting numbers into the right decisions and actions.

In Article 2, we will dive deeper into the most clearly emerging segments (eDNA, MRV, biodiversity credits, regenerative agriculture) and address a critical question for Vietnam and ASEAN: where are the real entry points for participation—beyond merely buying technology?

© Copyright KisStartup. Any reproduction, citation, or reuse must clearly acknowledge KisStartup as the source.

 References
[1] TNFD, “Recommendations of the Taskforce on Nature-related Financial Disclosures,” 2023. [Online]. Available: https://tnfd.global
[2] TNFD, “Nature-related risk & opportunity management and disclosure,” 2024.
[3] Serena Capital, “VC Funding Trends in Nature Tech – H1 2024 Update,” 2024.
[4] Nature4Climate, “Venture Capital Funding in Nature Tech Startups Increased in 2023,” 2024.
[5] NatureMetrics, “NatureMetrics raises $25m Series B to scale biodiversity monitoring,” Jan. 2025. [Online]. Available: https://www.naturemetrics.com
[6] Renewable Matter, “NatureMetrics: scalable biodiversity metrics powered by eDNA,” 2024.
[7] NatureMetrics, “Species detection using environmental DNA,” 2024.
[8] UPM, “Applying environmental DNA analysis to measure and protect biodiversity,” 2023.
[9] NatureMetrics, “Nature Intelligence platform overview,” 2024.