At Net0, we don’t just use AI - we build it from the ground up to solve sustainability challenges that off-the-shelf models simply can’t handle. Enterprise sustainability is dynamic, deeply interconnected, and constantly evolving, requiring AI that is highly specialized, deeply integrated, and adaptable to the unique needs of different industries.

Net0's Architecture

At the core of our solution is the Sustainability AI Data Platform - the central intelligence layer that processes and manages vast amounts of sustainability data with enterprise-grade security, reliability, and precision. This platform acts as a ledger of enterprise sustainability data, ensuring data accuracy, regulatory compliance, and real-time decision-making across an organization.

Built on top of this foundation are our proprietary AI models, each designed for a specific function:

1. AI for Data Collection: Automates data extraction, validation, and integration from operational systems, invoices, IoT devices, and supply chains.

2. AI for Decarbonization: Models Scope 3 emissions, optimizes reduction strategies, and identifies cost-effective sustainability actions.

3. AI for Reporting: Automates ESG disclosures, ensures compliance with 30+ global frameworks, and streamlines sustainability reporting.

Beyond the AI Data Platform and AI models, Net0 offers a flexible ecosystem of 60+ AI-powered sustainability apps that seamlessly connect to the main platform. These apps allow enterprises to customize and scale their sustainability management, ensuring AI-driven insights and automation are tailored to their specific business needs.

In this article, we explain why Net0 builds its own AI models instead of relying on external providers, and how this approach enables enterprises to achieve true sustainability transformation.

5 Reasons Why We Build Our Own AI Models

Most AI models are built for general applications, but sustainability requires a different approach. This is why we build our own AI models instead of relying on external providers.

1. Ensuring Data Security and Sovereignty

For enterprises in regions like the UAE and Saudi Arabia, data residency is non-negotiable. Many companies, especially government entities and regulated industries, require that sustainability data be processed and stored locally. External AI providers like OpenAI do not meet these security and compliance requirements.

With Net0’s AI, enterprises maintain full control over their data security, compliance, and storage, ensuring sensitive sustainability information remains protected and locally managed.

2. Building Industry-Specific AI for Sustainability

Sustainability is not a one-size-fits-all challenge. Each industry has unique emissions sources, supply chain complexities, waste streams, and compliance requirements. Generic AI models fail to capture these nuances, leading to inaccurate insights and ineffective sustainability strategies.

Net0 builds its own AI to:

• Train models on industry-specific datasets - understanding emissions factors, energy consumption patterns, and waste flows across manufacturing, retail, logistics, construction, and more.

• Ensure compliance with GHG Protocols, ISO standards, and regional ESG regulations, which generic AI lacks the depth to interpret correctly.

• Track material flows, waste outputs, and closed-loop supply chains, helping businesses transition to circular models while optimizing costs.

• Go beyond carbon accounting by incorporating resource efficiency, lifecycle impacts, and supply chain sustainability, critical for enterprises pursuing full-scale transformation.

Net0’s AI is built for the realities of enterprise sustainability, deeply specialized and designed to drive measurable impact.

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3. Achieving Deep Integration with IoT, ERP, and Supply Chain Systems

Enterprises generate sustainability data across multiple internal systems, from IoT sensors tracking energy usage to ERP platforms managing procurement and supplier data. Off-the-shelf AI models lack the ability to integrate seamlessly, often requiring manual data extraction and reconciliation, leading to inefficiencies and inaccuracies.

Net0 builds its own AI to:

• Connect directly with enterprise systems, ensuring real-time, automated sustainability tracking.

• Ingest structured and unstructured data from energy meters, invoices, supplier reports, and procurement systems to provide accurate insights.

• Eliminate data silos, enabling enterprises to act on live sustainability data instead of relying on periodic, outdated reports.

With Net0’s AI, enterprises move beyond fragmented data, achieving real-time visibility and automation across sustainability operations.

4. Automating Compliance and ESG Reporting

Sustainability reporting is highly complex, requiring compliance with 30+ global frameworks such as CSRD, SEC climate disclosures, and GCC-specific ESG mandates. Off-the-shelf AI models lack the depth and flexibility needed to handle evolving regulations and industry-specific reporting standards.

Net0’s AI is built to:

• Adapt in real time to changing regulatory frameworks, ensuring businesses stay compliant without manual updates.

• Automate ESG data classification and structuring, eliminating human errors and inefficiencies.

• Provide full auditability and transparency, making sustainability reporting seamless and reducing compliance risks.

• Support multi-framework reporting, enabling enterprises to generate disclosures across multiple regulatory standards with a single AI-driven process.

Net0’s AI streamlines compliance, automating sustainability and ESG reporting with accuracy, transparency, and zero reliance on external models.

5. Eliminating Vendor Lock-In and AI Dependence

Most third-party AI providers operate as black-box systems, meaning businesses have no visibility into how models evolve or what data drives their decisions. This creates long-term risks, as external AI providers can change processing methods, or restrict access, forcing enterprises into costly transitions with little control.

Net0 builds its own AI to:

• Eliminate dependency on third-party models that may change processing methods, pricing, or availability.

• Ensure transparency and explainability, allowing enterprises to fully understand and audit AI-driven sustainability insights.

• Offer adaptability, ensuring that AI models evolve with industry needs rather than being constrained by an external provider’s roadmap.

• Retain control over enterprise sustainability data, avoiding risks associated with proprietary vendor models that limit accessibility.

Net0’s AI gives enterprises full autonomy, ensuring long-term control, adaptability, and complete data ownership.

Book a consultation

Net0’s AI is not an add on, it is not a tool. It is a full-stack proprietary intelligence system designed to make sustainability a core business driver.

By building our own AI models, we ensure security, accuracy, integration, automation, and compliance.

Book a consultation with Net0 to learn how AI-first approach can help your organization achieve its sustainability goals at scale.