Summary
The Challenge: Investment managers face increasing pressure to integrate ESG factors into investment decisions while maintaining accuracy, transparency, and compliance. Traditional ESG data collection methods—manual, fragmented, and error-prone—struggle to keep up with the rising demand for timeliness, scale, and granularity.
The Solution: Altilia Intelligent Automation is a GenAI-powered platform purpose-built for enterprise-grade ESG data extraction. Leveraging fine-tuned LLMs/SLMs, semantic search, and Agentic AI, Altilia enables the automatic acquisition of ESG-related insights from unstructured data sources such as sustainability disclosures, annual reports, regulatory filings, websites, social media, and third-party content. The result: timely, traceable, and deeply granular ESG company profiles.
With human-in-the-loop validation, knowledge graph integration, and no-code orchestration, the platform significantly enhances the scope, speed, and reliability of ESG intelligence used in risk assessment, investment strategy, and regulatory reporting.
Description of fintech solution
Altilia’s AI platform enables financial institutions and data providers to scale and automate ESG data management workflows through the following capabilities:
- Advanced Document Understanding: Extract text, tables, charts, and contextual information from complex multi-format sources, including PDFs, scanned files, and web content.
- AI Model Training & Customization: Rapid training of classification and information extraction models with no-code tools, tailored to specific ESG KPIs or taxonomy requirements.
- Semantic Knowledge Base: Aggregates extracted ESG insights into a graph-based repository, enabling contextual queries, traceability, and explainability.
- Conversational AI & Q&A Interface: Natural language interface for analysts to query ESG disclosures and receive sourced, document-grounded responses.
- Quick Action Modules: Pre-configured automation for ESG scoring updates, risk flags, and regulatory gap analysis.
- Integration & Export: Output ESG data in structured formats (CSV, JSON, API) for easy integration into scoring models, investment dashboards, or regulatory systems.
Benefits
- Up to 80% reduction in manual ESG data collection time
- Real-time ESG event capture and profile updates
- Greater granularity for small- and mid-cap coverage
- Enhanced transparency and auditability via traceable extraction pipelines
Describe your key innovations
- Use of domain-specific Large and Small Language Models (LLMs/SLMs) to extract and interpret ESG information from complex financial and non-financial documents.
- Proprietary (patented) technologies to parse and extract data from highly unstructured layouts—tables, images, diagrams, itemized lists.
- A hybrid Agentic AI + Knowledge Graph approach that ensures traceable, explainable, and continuously improving data pipelines.
- Semantic Search Engine with natural language capabilities to surface ESG insights based on query intent, not just keywords.
- Flexible deployment options (SaaS, Private Cloud, On-premise) ensuring full control over data, models, and IP.
- Trusted by leading European banks and ESG data providers to power critical ESG scoring and profiling initiatives.
Solution Lifecycle
Commercialized
Founder's Background
MASSIMO Ruffolo
Massimo, the founder, CEO and CTO of Altilia, is an established entrepreneur with previous start-up experience. Massimo has shaped product, marketing and business strategies for substantial enterprise customers worldwide. With more than 20 years’ experience with AI, ML, NLP, Big Data, machine reading comprehension, deep learning models and more, Massimo is leading Altilia toward becoming a global contender in AI. His background includes the publication of several scientific journal articles in the field, and appearances as an expert guest speaker for AI conferences worldwide. He is a researcher for the Italian National Research Council and an external professor for the University of Calabria.
ERMELINDA ORO
Altilia’s co-founder, is a researcher at the Italian National Research Council (CNR) and an external professor at the University of Calabria, where she obtained her Ph.D. in Computer Science. Ermelinda was a visiting researcher at the University of Oxford and the University of Koblenz-Landau. She has more than 13 years of experience in AI. Her research interests include natural language processing, machine reading comprehension, question answering and dialogues, deep learning, knowledge graphs, web scraping and wrapping, document layout analysis and understanding, social networks analysis, and information retrieval and extraction.
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
55
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?
Automated ESG Intelligence at Scale: Altilia enables asset managers to automatically extract, enrich, and structure ESG data from unstructured sources—such as sustainability reports, regulatory filings, and websites—enhancing ESG scoring, thematic investing, and Sustainable/Responsible Investment (SRI) strategies.
Operational Efficiency & Cost Reduction: The platform automates time-consuming back- and middle-office workflows—such as document classification, data extraction, and compliance checks—freeing analysts from repetitive tasks and reducing operational costs by up to 80%.
Real-Time Regulatory Compliance & Risk Monitoring: With AI agents capable of interpreting and cross-referencing new regulatory texts, Altilia helps investment firms stay ahead of evolving compliance requirements and detect ESG-related risks or non-conformities earlier in the process.
Tell us more about your past client engagements to date and your market penetration?
Altilia has worked with top-tier financial institutions for ESG research automation, including Intesa Sanpaolo for enterprise-scale document intelligence. With over 30 corporate clients across banking, asset management, insurance, and public administration, Altilia is scaling its reach through strategic partnerships with system integrators. We are a fast-growing, deep-tech company with a highly differentiated technology stack that enables rapid market penetration.
Do you have any case studies of your solution? If yes, please share it in less than 200 words
Yes, Altilia has delivered impactful AI solutions across financial services. Examples include ESG data extraction from non-financial disclosures to automate corporate ESG profiling; lending approvals and data remediation by validating financial statements to accelerate credit decisions; secured NPL data acquisition through large-scale extraction from legal and foreclosure documents; and AI-driven derivative sales analysis by processing over 65,000 financial reports annually to enhance client targeting and pitch automation. These use cases demonstrate how Altilia enables banks and asset managers to automate complex document-centric workflows, reduce costs, and unlock new decision-making capabilities.
Awards/Accolades
- Gartner Market Guide for Intelligent Document Processing Solutions | Representative Vendor (2022)
- IDC MarketScape for Intelligent Document Processing | Major Player (2023)
- IDC MarketScape for Unstructured Intelligent Document Processing | Major Player (2024)
- Gartner Market Guide for Intelligent Document Processing Solutions | Representative Vendor (2024)
Marketing Video
