1. What are your data sources? How do you source data? How do you ensure data quality?

Our intellectual property (IP) includes a proprietary ESG data platform that encompasses a wide range of relevant ESG data factors. These factors include ESG regulations, physical climate risk, certifications & credentials, an advisory & recommendations library, environment & biodiversity, ethical labor & human rights, carbon emissions, adverse incidents, assets, suppliers & portfolio, industrial IoT devices, and more.

We constantly expand our data sources by drawing from public resources and collaborating with data partners. This allows our customers to access our comprehensive data and risk models, integrate and deploy them within their private networks, and combine them with their internal data according to their security protocols.

Our preconfigured, plug-and-play data lake eliminates the need for manual data engineering. It automates data aggregation and provides unified dashboards, offering a seamless user experience.

The key benefit we offer is this: our customers don't have to search for data or purchase it from multiple sources. Instead, we automate the process and deliver the most complete, relevant, and accurate data with consistent refresh.

2. How do you get visibility to the lower segment of the supply chain beyond Tier 1-2?

We have developed unique methodologies as part of our intellectual property (IP) that are constantly improved. A combination of various data sources, including trade data, geospatial data, entity tracking techniques, and public data monitoring etc, combined with our proprietary AI models, helps our customers achieve deeper visibility and traceability of ESG performance in their value chain.

3. What type and size of companies do you track? How big is your coverage?

Our entity data is segmented into Large Enterprises, Mid-Size Enterprises, and Small Enterprises. We cover ESG profiles for 3.5 million global entities, which is constantly growing. We currently focus on SMEs, Mid-caps, and Enterprises from high-intensity industries such as Food & Agri, Fashion-Apparel-Textile, Real Estate, Retail, Consumer Products, Automotive, Electronics, Healthcare-Life Sciences-Pharma, Transportation-Logistics-Shipping, Metals & Mining, Manufacturing (Steel, Cement, Industrial Machinery), Oil & Gas, and Banking-Finance-Insurance. Our coverage is global with a strong focus on Asia.

4. How do your risk models work? What are the ESG risk factors?

We are a team of ESG experts, data scientists, modelers, and software developers building the Data Commons – a federated library of libraries for corporate and ESG factor data. This platform goes beyond data, offering ESG analytics tools to derive actionable decision metrics crucial for tasks like asset allocation, portfolio construction, and sustainable financing. We also provide tools for incident analysis, exposure analysis, risk & compliance analysis, corporate engagement, supplier engagement, strategic planning, transition investments, and financial sector supervision.

While ESG data is an important enabler, we see it as just the foundation. We understand that our customers face challenges beyond data engineering – they need solutions for workflow, process, information exchange, and decision-making within their businesses. As far as we see it, data is a utility, and the true value lies in the powerful software layer built on top.

Monetization comes through data services offered alongside platform usage, which is beneficial. However, the primary value perceived by our customers lies in the streamlined ESG workflows enabled by our platform.

Our AI models map appropriate data elements with relevant external assurance frameworks and internal policies > at customer level first and transaction level real-time with risk indicators and decision support recommendations.

5. How do you track ESG regulations ?

ESG regulations are constantly evolving, forcing Risk Management, Legal, and other professionals to manually search the web for relevant regulations for every transaction approval or supplier selection. Our solution streamlines this process by consolidating global ESG regulations into a structured, data model repository. We meticulously update and maintain this repository to ensure it reflects the latest regulatory changes. Customers can then filter applicable regulations by country, region, industry, and easily match them to their customers, suppliers, portfolio entities, and internal policies, at both aggregate and individual asset levels. Furthermore, the system proactively flags potential regulatory compliance risks at the supplier, transaction, entity, and portfolio levels, and provides AI-powered recommendations for appropriate actions.

6. Who are your competitors? How are you different from others such as MSCI, Maplecroft, Ecovadis, RepRisk, Event Stream ?

We are developing accessible codeless AI technology to help banks and brands automate all aspects of their sustainability and augment their decision-making in a world of infinitely complex ESG data. Our codeless AI infrastructure currently comprises 120+ proprietary AI models that provide stakeholders with robust plug-and-play AI products without having to write a single line of code. I have attached a diagram of our AI flow. We don't compete with them. We complement most of the ESG solutions. We offer a best in class solution across every product area. We fundamentally reject the rationalization that siloed products exist because they are “best of breed” and platforms can’t truly solve the whole problem. We’re committed to delivering the breadth and depth of the solution that allows companies to manage 100% of their ESG risk and decisioning insights in one platform without any compromises when they move from point solutions. We’ve been able to do that rapidly because when you approach ESG management in a holistic way, it allows you to reuse a lot of the common platform elements (E.g. pre-approval workflows, blended intelligence and the infrastructure to sync data). An integrated platform also allows us to innovate in completely new ways - like assigning vendor specific ESG insights to purchase orders, and low carbon trade transactions in a dynamic way based on ESG data and incidents across a number of different counterparties.

7. Who are your customers? What is your current traction? What is your pricing model?

We cater to both Global Financial Institutions and Corporates with a flexible engagement model. Our platform is highly customizable to meet your specific needs. To ensure a successful implementation, we propose an initial workshop with key stakeholders to identify your pain points and critical requirements. Following this, we offer a range of options, including piloting a specific module, conducting a Proof-of-Concept (PoC), or deploying the entire platform. Our licensing model is adaptable to your use case and can be based on the number of users, transactions, entities, or suppliers. We offer both SaaS and private cloud subscription options.

8. How old is your start-up? How long have you been working together on this? How big is your team? What stage is your start-up?

We are a rapidly growing startup with a continuously growing team of 20 executives in five countries. We serve a global clientele across diverse industries. Our international team boasts complementary expertise in sustainability, ESG, AI, and technology, with experience in financial institutions, corporations, and startups.

The result of nearly two years of R&D is GreenFi, a platform built on ESG AI technology. We've meticulously validated use cases and refined the user experience to ensure a seamless experience for our early adopters who joined us in early 2023. Having secured seed funding, we anticipate continued growth in both capital acquisition and revenue generation.