Summary
The Challenge : The ESG field is evolving and rapidly growing in significance. Both institutional and retail investors are increasingly incorporating ESG factors into the investment process alongside traditional financial analysis. Our client MSCI sought technologies capable of automating and speeding-up the ESG data collection and management process making it wider, deeper, timely, granular, and accurate. Solution Altilia Intelligent Automation platform enabled the development of enterprise-grade intelligent process automation and intelligent document processing applications in ESG by allowing to easily create software robots that gather typical and alternative data from public and internal company sources containing documents like annual reports, sustainability reports, 8/10-k forms, corporate websites, social media, NGOs communications, news sites, blog, forums, certifications, etc. which provide timely information on events relevant for ESG company profiling.
Description of fintech solution
Simplified document labeling and the training of AI models based on classification and document understanding algorithms that extract contents like texts, tables, charts, images, item lists, etc. from documents.
Easy content storage and indexing into the multi-structured Altilia Knowledge base Knowledge.
Simplified content labeling and ML models training (classification, language understanding) for extracting newly defined ESG datapoints and events from documents and texts.
Easy creation of robots that apply AI models to vast amounts of content to recognize and extract ESG data points and events from data sources and store them in the multi-structured Altilia Knowledge Base creating reach and deep semantic profiles of companies.
Simplified method for analysis and visualization of extracted data points.
Benefits
50% to 80% cheaper than existing ESG datapoints gathering approaches.
Scaled-up data gathering to tens thousands of companies’ profiles.
Reduced the time needed to update companies’ profiles from weeks to days.Provided real-time ESG profiles updates for real-time ESG relevant events.
Made ESG scoring more granular for both corporates and small caps.Increased transparency and trust that are critical for driving positive outcomes at both financial and social level.
Describe your key innovations
We use GPT-like Large Language Models to simply document search and information extraction. We can automate any data capture, information extraction, knowledge acquisition task from any type of document comprised long and complex annual reports, financial statements, sustainability reports, 8/10-k forms, corporate websites, social media, NGOs communications, news.
We hold patents that allow our technology to recognize data locked in tables, chart and images and in any complex document layout.
We use Large Language Models to answer ESG related questions from company disclosure.
We use a knowledge graph to store data extracted by models in orde to improve explainability e an trustworthiness.
Solution Lifecycle
Pilot
Founder's Background
MASSIMO Ruffolo
• Founder and CEO/CTO of Altilia, entrepreneur with experiences in other 2 start-ups where he shaped product, marketing and business strategies directly executing marketing and sales activities.
• 20+ yrs in AI, Big Data, Semantic Technologies, NLP, Text Analytics, and Information Extraction.
• Researcher of the Italian National Research Council (CNR) and external professor at the University of Calabria.
ERMELINDA ORO
•Founder and CSO of Altilia, primary scientist for Altilia MANTRA™ platform.
•12+ yrs in AI, Knowledge Representation and Reasoning, Semantic Web, NLP, Web and Document Wrapping, and Information Extraction.
•Researcher of the Italian National Research Council and External professor at University of Calabria. Visiting researcher at University of Oxford and at University of Koblenz-Landau.
Founded (Years of Incorporation)
2020
How are you funded today?
Seed
Money Raised
We have raised 3 million euro in 2021 as seed investment from an Italian VC.
Number of employees
53
Presence In Region
America
Asia
Europe
Technology
Artificial Intelligence
Chatbot
ESG
Machine Learning
Natural Language Processing (NLP)
Optical character recognition (OCR)
RPA
HQ Country
Italy
What are the top 3 key benefits your solution will bring to the Asset Management Industry?
We can help the Asset Management Industry to:
- Automate a lot of back-office processes that require human judgment and contextualization capabilities in managing documents and multi-structured data.
- Automate processes in the regulatory compliance area to save cost and reduce risks due to a more timely and deep understanding of changes in regulations and non-compliances.
- Automate portfolio management processes enriching the ability to evaluate ESG impacts and to do better SRI activities.
Tell us more about your past client engagements to date and your market penetration?
We had Morgan Stanley Capital International as past customer for ESG research automation. We are a small company but with a very competitive technology that can help us to scale fast.
Do you have any case studies of your solution? If yes, please share it in less than 200 words
We have some running instances of this solution in Intesa Sanpaolo, and we worked with Morgan Stanley Capital International to extract hundreds data points form hundred thousands company documents, news and reports.
Awards/Accolades
We are listed among representative vendor in the Gartner Market Guide of Intelligent Document Processing 2022