GreenFi
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About
GreenFi is an AI-powered ESG due diligence software designed for sustainable financing and supply chain management. It offers a comprehensive 360-degree view of ESG aspects, enabling automated risk assessment and decision-making. The platform uses explainable AI to ingest various data types, including ESG reports, disclosures, and regulatory information, generating insights and recommendations. GreenFi helps identify and quantify risks and opportunities associated with sustainable investments and supply chains, streamlining ESG workflows and automating data aggregation. It's built for financial institutions and corporates, providing a no-code platform with 120+ proprietary AI models.
Platform
Task
Features
• explainable ai
• automated data aggregation
• recommendation system
• accelerated process
• sustainability monitoring
• esg risk assessment
• esg due diligence
• no-code ai infrastructure
FAQs
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.
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.
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.
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.
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.
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.
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.
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.
Job Opportunities
ESG Risk Analyst – Client Facing
AI-powered ESG due diligence software for sustainable financing and supply chain. Provides a 360-degree view of ESG aspects, automated risk assessment, and AI-driven recommendations.
Benefits:
Flexible working arrangement remotely or hybrid
Education Requirements:
Strong knowledge of ESG principles and sustainability
Excellent communication and leadership skills
Responsibilities:
Collaborate with leadership and marketing teams to develop target markets and execute account-based marketing strategies
Build and maintain client partnerships for ESG advisory, consulting, reporting, risk management, and proof of concepts (POCs)
Create presentations, proposals, and subject matter documents for internal and external stakeholders
Contribute to product innovation, research, and model development with ESG teams
Demonstrate leadership and executive presence in public speaking engagements
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Data Analyst
AI-powered ESG due diligence software for sustainable financing and supply chain. Provides a 360-degree view of ESG aspects, automated risk assessment, and AI-driven recommendations.
Benefits:
Flexible working arrangement remotely or hybrid
Education Requirements:
Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related field
Experience Requirements:
3+ years of experience in data analysis, preferably within ESG or Sustainability domain
Other Requirements:
Proficiency in data analysis tools such as Python, R, or SQL
Experience with data visualization tools like Power BI, Tableau, or equivalent
Strong statistical knowledge and the ability to interpret complex data sets
Excellent communication skills with the ability to translate data insights into business recommendations
Ability to work both independently and as part of a team
Responsibilities:
Perform detailed analysis on structured and unstructured datasets to identify trends, correlations, and insights
Work closely with cross-functional teams to understand data requirements and business objectives
Use statistical techniques to interpret and visualize data trends
Generate reports and dashboards to communicate findings to stakeholders
Identify and suggest improvements in data collection, reporting, and analysis processes
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Python Developer / Data Scraper / AI ML LLM Engineer
AI-powered ESG due diligence software for sustainable financing and supply chain. Provides a 360-degree view of ESG aspects, automated risk assessment, and AI-driven recommendations.
Benefits:
Flexible working arrangement remotely or hybrid
Education Requirements:
Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field (Master’s degree preferred)
Experience Requirements:
Proven experience in data scraping from news API’s (e.g., Google, Yahoo) and keyword-based scraping techniques
Other Requirements:
Proficiency in data parsing techniques to extract structured information from unstructured text sources
Strong understanding of sentiment analysis methodologies and tools
Experience with advanced technologies such as LLM/GPT Vision and AWS Textract for data analysis
Familiarity with programming languages commonly used in data scraping and analysis (e.g., Python, R)
Excellent analytical and problem-solving skills, with the ability to translate data insights into actionable recommendations
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
Responsibilities:
Develop and implement efficient data scraping strategies from news API’s (e.g., Google, Yahoo) to gather relevant information based on specified keywords and criteria
Utilize advanced parsing techniques to extract structured data from unstructured text sources
Conduct sentiment analysis on extracted data to discern attitudes, opinions, and trends
Collaborate with cross-functional teams to integrate data insights into decision-making processes and product development
Stay updated with the latest advancements in data scraping, parsing, and sentiment analysis techniques, and continuously optimize processes for enhanced efficiency and accuracy
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