Government AI

Sustainability AI

About Us

AI ร— Sustainability ยท Banking & Finance

Power sustainable finance with data you can stand behind.

Net0 helps banks and financial institutions measure financed emissions and model decarbonisation pathways.

AI ร— Sustainability ยท Banking & Finance

Power sustainable finance with data you can stand behind.

Net0 helps banks and financial institutions measure financed emissions and model decarbonisation pathways.

AI ร— Sustainability ยท Banking & Finance

Power sustainable finance with data you can stand behind.

Net0 helps banks and financial institutions measure financed emissions and model decarbonisation pathways.

When finance shapes sustainability, precision matters.

Financial institutions play a pivotal role in accelerating climate progress. Every lending decision, investment allocation, and product design has sustainability implicationsโ€”yet most organisations still lack the infrastructure to turn that influence into measurable outcomes.

PCAF

Financed Emissions

Sustainability-Linked

Scope 1โ€“2 Operations

Scenario Modelling

Unstructured financed emissions data

Portfolios include clients across sectors and regions. Yet emissions data is often missing, inconsistent, or submitted in incompatible formats.

Clients ยท Sectors ยท Regions

No shared metrics across sustainability-linked products

From climate-aligned mortgages to commercial lending, internal teams lack a unified way to define, monitor, and evaluate environmental performance.

Mortgages ยท Lending

Siloed insights across portfolios and divisions

Sustainability data sits with different teamsโ€”risk, lending, investment, ESGโ€”with no consolidated system to track financed emissions or portfolio exposure.

Risk ยท Lending ยท ESG

Disconnect between commitments and execution

Sustainability targets are often set at group level. Applying them across frontline operationsโ€”like credit terms or product developmentโ€”remains a significant challenge.

Targets ยท Frontline

Static tools in a shifting sector

Decarbonisation planning requires adaptable models. Yet most institutions still rely on spreadsheets or legacy tools not built for scenario testing or rapid iteration.

Spreadsheets ยท Legacy tools

From static tools to dynamic AI

Net0 helps financial institutions move from static tools to dynamic AI systems โ€” linking emissions performance with lending, investment, and client engagement.

Embed sustainability into both your operations and the capital you move โ€” with the flexibility to build at the pace and complexity the sector demands.

Modular sustainability intelligence for financial institutions.

Net0 equips banks and financial services firms with modular, AI-powered tools to measure financed emissions, track portfolio-level impact, and support the design and execution of sustainability-linked products. Whether youโ€™re building internal systems, responding to investor expectations, or aligning your portfolio with climate goals, our proprietary AI tools adapt to your data, clients, and operations.

See what AI-driven sustainability looks like

Make finance smarter, cleaner, and ready for whatโ€™s next. With Net0, financial institutions unlock real-time sustainability insightโ€”across financed emissions, operational impact, and portfolio-wide performance. Our AI models transform raw inputs into actionable intelligence that supports high-stakes decision-making and long-term strategy.

Discover Net0โ€™s AI platform

Real-Time Sustainability Intelligence ยท Agentic AI

Real-Time Sustainability Intelligence ยท Agentic AI

Connect and structure financed emissions data instantly

Net0 brings together client- and portfolio-level data from across your systems and formatsโ€”applying automation to clean, classify, and validate it for reporting and analysis. Its agents then model portfolio impact in real time, simulating how strategic decisions affect your institutionโ€™s emissions trajectory across regions, asset classes, or product lines.

Classification agent

Auto-tags loans and assets by emissions profile, sector, and location, and standardizes fragmented client data into usable formats.

Client & borrower outreach agent

Requests emissions data from borrowers, investees, and counterparties through guided workflows, chases gaps, and fills missing inputs with sector benchmarks.

Validation agent

Detects missing values, flags inconsistencies, and applies confidence scoring to every data point before it reaches a dashboard or disclosure.

Scenario modelling agent

Forecasts decarbonisation pathways under multiple scenarios, compares reduction strategies by business unit or geography, and guides lending and investment choices with predictive modelling.

Tailor insights to each decision-maker.

Every stakeholderโ€”from relationship managers to strategy leadsโ€”gets access to the metrics that matter most to them. Role-specific dashboards with flexible filters surface emissions insights alongside financial KPIs, and scale across portfolios, products, and regionsโ€”whether you operate in one market or 20โ€”with no rebuild required.

Sustainability & ESG leads

Group-level governance โ€” with local views that adapt to each team.

Financed emissions coverage, intensity, and reduction progress across the group

Alignment with PCAF and internal benchmarks, audit-ready

Scope 1 and 2 across offices, branches, and data centres

ESG ยท Sustainability

Risk & credit teams

Emissions exposure alongside the risk metrics you already use.

Portfolio exposure by asset class, sector, and geography

Emissions modelling embedded in underwriting and lending workflows

Client performance linked to internal risk metrics

Risk ยท Credit

Relationship & product teams

Sustainability-linked products with verified KPIs.

Environmental KPIs monitored per product, borrower, or segment

Performance thresholds tied to client incentives and loan terms

Borrower-facing data workflows with gap detection built in

Relationship ยท Product

Strategy & executive leadership

Scenario outcomes and portfolio trajectory in one view.

Decarbonisation pathways compared by business unit or geography

Emissions trajectory under reallocation and product-redesign scenarios

Board- and investor-ready disclosures from one validated dataset

Strategy ยท Executive

What financial institutions could build with Net0.

Three scenarios from banking, investment, and insurance โ€” the challenge each institution faces, what Net0 puts in place, and the expected outcome. Use the arrows or dots to move between them.

Modern public building facade overlooking a courtyard

Use case 01 / 03

Regional bank ยท SLLs

Verified emissions KPIs behind every sustainability-linked loan.

Use case ยท Sustainability-linked lending

Regional Bank Expanding Sustainability-Linked Lending

Challenge

The product team needed a reliable way to evaluate environmental performance across a growing portfolio of sustainability-linked loans, but struggled with inconsistent borrower data and no system to validate impact or calculate emissions savings. This lack of visibility made it difficult to structure performance-based incentives or meet internal oversight standards.

Net0 Solution

Build a data framework to track and validate emissions KPIs per borrower. Configure borrower-facing workflows for data input, apply AI models for gap detection and emissions estimation, and generate performance insights mapped to loan terms and internal impact targets.

Outcome

Every sustainability-linked loan carries validated, borrower-level emissions KPIs โ€” so performance-based incentives can be structured with confidence and internal oversight standards are met.

Modern public building facade overlooking a courtyard

Use case 01 / 03

Regional bank ยท SLLs

Verified emissions KPIs behind every sustainability-linked loan.

Use case ยท Sustainability-linked lending

Regional Bank Expanding Sustainability-Linked Lending

Challenge

The product team needed a reliable way to evaluate environmental performance across a growing portfolio of sustainability-linked loans, but struggled with inconsistent borrower data and no system to validate impact or calculate emissions savings. This lack of visibility made it difficult to structure performance-based incentives or meet internal oversight standards.

Net0 Solution

Build a data framework to track and validate emissions KPIs per borrower. Configure borrower-facing workflows for data input, apply AI models for gap detection and emissions estimation, and generate performance insights mapped to loan terms and internal impact targets.

Outcome

Every sustainability-linked loan carries validated, borrower-level emissions KPIs โ€” so performance-based incentives can be structured with confidence and internal oversight standards are met.

Frequently asked questions

Straight answers on how banks, investors, and insurers deploy AI-driven sustainability systems โ€” from financed emissions and sustainability-linked products to simulation, integrations, and governance.

How does Net0 help measure financed emissions across complex portfolios?

Net0 uses a modular architecture to track emissions across loans, investments, and insurance products. Our AI models classify financial instruments, apply relevant emissions factors, and flag missing or inconsistent data. Institutions can use client-submitted data, third-party benchmarks, or internal proxiesโ€”structured into decision-ready insights.

Can Net0 support the design and monitoring of sustainability-linked financial products?

Yes. Net0 configures emissions tracking workflows that align with the logic of sustainability-linked productsโ€”allowing product teams to set clear environmental KPIs, validate performance over time, and generate auditable records for each offering. Whether itโ€™s mortgages, SME loans, or corporate finance, performance thresholds can be linked to internal risk models or external disclosures.

How can Net0 help run decarbonisation models and simulate portfolio-level impact?

Net0 includes a simulation engine purpose-built for financial institutions. You can model emissions outcomes based on asset reallocations, product redesigns, or borrower transitionsโ€”across equity, debt, and real estate. The models update with new data and can be configured to reflect your internal strategy, market assumptions, or regulatory scenarios.

Can Net0 integrate with our existing core banking, investment, or analytics systems?

Yes. Net0 is designed to work alongside your existing infrastructure, including data lakes, analytics tools, and core financial systems. We support structured and unstructured inputs from client portals, internal databases, and vendor platformsโ€”and build secure APIs and validation pipelines tailored to your environment.

How does Net0 support internal sustainability governance and decision-making?

Net0 enables banks to operationalise climate goals by embedding sustainability data into the systems your teams already use. Role-based dashboards and workflows make it easy for product teams, risk officers, and executives to access the insights they needโ€”mapped to financial metrics, client performance, and strategic goals.

Financed emissions you can stand behind.

Tell us which portfolios and frameworks you report on. Weโ€™ll show how the data is gathered, checked and traced.

Talk to our team