Megaladata at Finarch Week 2025
The conference gathered banks, fintech firms, and technology providers to discuss how advanced analytics and smart data solutions are transforming finance. At the event, Managing Director Samvel Arustamov introduced EcoAsset.ai, a Megaladata solution designed for banks and financial institutions.
What EcoAsset.ai offers
EcoAsset.ai is a modular, low-code platform that converts asset and loan data into ESG insights. It improves data quality and transparency across portfolios, including structured finance investments, enabling:
- ESG compliance
- Personalised green lending
- Risk-optimised pool monitoring
The platform lets banks adapt its features to their needs, including:
- Eco data enrichment: Digitalisation of sustainability data for mortgage loans and asset portfolios.
- Eco loan expansion: Borrower segmentation and green lending opportunities, including tailored top-up proposals.
- Risk-optimized pool management: Daily collateral and portfolio optimization with expected loss analysis.
- Securitisation risk monitoring: Tracking securitized asset pools across transactions and asset classes.
EcoAsset.ai connects to over 100 data sources, providing quick insights even for large datasets, and supports key regulations like the EU Taxonomy, CRR/CRD, CSRD, and EPBD.
ESG and smarter Financial decisions
Attendees at Finarch Week were particularly interested in how platforms like EcoAsset.ai help banks:
- Make faster, more informed decisions
- Simplify complex data
- Turn insights into action
The event made it clear that integrating ESG factors into banking is no longer optional; it’s essential. Megaladata’s tools help banks use real-time information and automation to make better, more responsible financial choices.
Connecting with the Financial Sector
By joining Finarch Week, Megaladata strengthened its position as a reliable partner for the Financial industry. The event was a chance to meet new contacts, share ideas, and reaffirm the company’s focus on helping banks adopt sustainable and effective practices.
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