A-Team Insight Brief
ClearToken Adopts Nasdaq Eqlipse Clearing for Launch of Digital Asset Settlement Service
ClearToken, the digital financial market infrastructure firm, has selected Nasdaq’s Eqlipse Clearing platform to underpin its new digital asset clearing and settlement service. The move supports ClearToken’s goal of modernising digital asset infrastructure through the introduction of CT Settle, a service designed to offer delivery-vs-payment (DvP) and netting capabilities for cryptoassets, stablecoins and fiat currencies. The launch follows ClearToken’s authorisation by the UK Financial Conduct Authority (FCA).
Currently, much of the digital asset market operates via bilateral, prefunded trades. ClearToken aims to reduce counterparty risk and operational inefficiencies by developing a central counterparty clearing house (CCP) model that supports multiple trading venues and custodians. The planned CCP will offer 24/7 real-time clearing with margining and default fund contributions to manage risk.
Nasdaq’s Eqlipse platform provides multi-asset clearing, risk, and settlement functionality, and is already used by more than 20 CCPs globally. Its flexible architecture and embedded AI tools support rapid onboarding and scalable operations.
LSEG Integrates Tick History Data with Google Cloud’s Vertex AI for Scalable AI in Finance
LSEG has made its historical tick data accessible via Google Cloud’s BigQuery and Vertex AI platforms, marking a key development in its AI strategy, “LSEG Everywhere.” This integration allows financial institutions to apply artificial intelligence and machine learning directly to LSEG’s tick history data, enabling data-driven insights to support trading and risk management decisions.
Using Vertex AI, customers benefit from accelerated query performance, significantly reducing processing time from hours to seconds. The platform supports agentic AI, allowing complex reasoning over unified proprietary and historical datasets. Additionally, the integration offers cost efficiencies by eliminating the need for on-premises infrastructure, and improves accessibility through natural language interfaces and SQL outputs. This move aims to make advanced AI capabilities scalable and more widely available across the financial sector.
LSEG Unveils Market Risk Optimisation Service for FX Options Desks
LSEG has launched Market Risk Optimisation, a new service from Post Trade Solutions, after a successful proof of concept with 13 sell-side FX options desks. Integrated with LSEG’s FXall platform, the service applies proven optimisation technology to help participants trade in and out of market risk more efficiently, unlock liquidity, and lower transaction costs.
The multilateral process analyses participant axes across tenors and risk exposures, proposing an optimised set of trades within each client’s constraints. Analytics are powered by the Open Source Risk Engine (ORE), built on QuantLib, providing transparent and robust valuation and risk measures.
Building on LSEG’s optimisation capabilities first introduced via Quantile in 2017, the new service shifts focus from counterparty metrics to trader-defined market-risk axes. It captures constraints, generates a hedge proposal, and automates trade booking, with end-to-end cycles designed to complete within 30 minutes.
Banco de Chile Partners with Integral to Enhance FX Operations and Digital Strategy
Banco de Chile has formed a strategic alliance with Integral, the specialist currency technology provider, to upgrade its foreign exchange (FX) capabilities. The collaboration sees Banco de Chile implementing Integral’s Price Engine and Liquidity Aggregation products. These tools are being used to centralise the bank’s FX pricing logic and optimise its execution workflows, aiming for greater efficiency and accuracy in its trading activities.
A core element of the project is the link between Integral’s platform and Datatec, Chile’s main interbank FX infrastructure provider. This allows Banco de Chile to pull real-time spot prices and generate executable rates across multiple channels, from multi-dealer platforms and internal sales desks to white-label client platforms covering offshore NDFs, USD/CLP spot and forwards, and swaps.
The result is full end-to-end automation of FX operations, reducing the resource burden and operational costs that still dominate much of the region. With this upgrade, Banco de Chile strengthens its position in the market and sets itself up to scale its FX services more efficiently across all segments, both domestically and internationally.
SOLVE Partners with Charles River Development to Integrate Predictive Pricing for Fixed Income
SOLVE, provider of pre-trade data and predictive pricing for fixed income securities, has partnered with Charles River Development, a State Street company, to integrate SOLVE’s fixed income and predictive pricing capabilities directly into the Charles River Investment Management Solution (Charles River IMS). The aim is to enhance market transparency and efficiency for joint fixed income clients by embedding advanced analytics and predictive intelligence into their trading and portfolio management workflows.
The integration will allow clients to access SOLVE’s data directly within Charles River IMS, enabling traders and portfolio managers to monitor pricing in real-time, streamline analysis, and make more confident pricing decisions. Key SOLVE products being made accessible include SOLVE Market Data, which leverages over 24 billion daily quotes, and SOLVE Px Predictive Pricing, which delivers machine learning-based pricing predictions for over 250,000 corporate and 1.1 million municipal bonds. Clients will also gain access to BWIC Monitoring for more informed pre-trade analysis.
By unifying these data sources, the partnership aims to reduce the need for manual data handling and to provide buy- and sell-side institutions with a comprehensive view that combines both contributed market data and AI-generated insight. Unlike solutions focused solely on quote aggregation, the SOLVE integration promises a deeper, more actionable view of bond behaviour across various liquidity conditions, building on the company’s mission to expand transparency across fixed income markets.
Canoe Intelligence and Prime Buchholz Expand Partnership for Enhanced Private Markets Intelligence
Canoe Intelligence and Prime Buchholz have expanded their strategic partnership to deliver a comprehensive private markets intelligence solution, designed to provide alternative investors with rapid insights into their portfolios by connecting best-in-class capabilities across document collection, validation, and analytics. The goal is to eliminate the manual handoffs that traditionally slow down alternatives workflows, making the process more efficient.
Investment, research, and data teams can leverage the solution to track performance metrics, analyse and project cash flows, and identify various exposures across their alternative investments. This builds upon Prime Buchholz’s multi-year adoption of the Canoe platform, which it has used to automate document collection and data processing for its approximately 250 institutional clients.
Deutsche Börse Group and Societe Generale Partner to Accelerate Tokenised Cash Integration
Deutsche Börse Group, Societe Generale Group, and Societe Generale – FORGE (SG-FORGE) have signed a partnership agreement to speed up the integration of token-based cash solutions with existing financial market infrastructure. The collaboration aims to drive the adoption of stablecoins within European digital markets, with SG-FORGE’s CoinVertible stablecoin being key to this effort. The integration of CoinVertible as a payment and settlement instrument will bolster both groups’ digital strategies and complement Deutsche Börse Group’s current service offerings.
The initial phase of the partnership will focus on strengthening CoinVertible’s collateral management structure and its usability as a settlement instrument within Clearstream, the post-trade business of Deutsche Börse Group. This includes its application for securities processes, collateral management, and treasury functions. CoinVertible’s liquidity is also set to improve through a new listing on Deutsche Börse Group’s digital trading platforms.
Future steps involve jointly assessing the integration of both the EUR and USD CoinVertible stablecoins across Deutsche Börse Group’s entire service portfolio. This will broaden the use cases for robust, MiCA-compliant stablecoins, making them natively suitable for financial institutions and the wider cryptocurrency industry.
Singapore Regulator Frames AI Risk Reduction Guidelines
The Monetary Authority of Singapore (MAS), the city-state’s financial regulator, has issued a consultation paper proposing guidelines on artificial intelligence risk management for financial institutions.
The proposals apply to all financial institutions and set out expectations on oversight of AI risk management, systems, policies, procedures, life cycle controls and capabilities. These guidelines follow MAS’ supervisory review of banks’ AI use in 2024 and discussions with institutions.
Ho Hern Shin, Deputy Managing Director, said: “The proposed Guidelines on AI Risk Management provide financial institutions with clear supervisory expectations to support them in leveraging AI in their operations.”
LakeFusion Closes Funding Round to Expand AI MDM Offering to Financial Sector
AI-native master data management platform LakeFusion said it has closed its seed funding round after raising an undisclosed amount.
The investment was led by Carbide Ventures and will support the Austin, Texas-based firm’s expansion into sectors including financial services, real estate and healthcare.
The funding round underscores the demand for modern approaches to trusted data as enterprises increase their reliance on artificial intelligence.
“Our platform brings intelligence, scalability and simplicity to enterprise data,” said Vikas Punna, founder and chief executive of LakeFusion.
ESG Risk Platform GreenFi Raises $2m in Seed Investment
GreenFi, an ESG compliance risk management platform, said it has raised $2 million in a seed funding round that was led by Transition VC, India’s first energy transition-focused venture fund.
The cash injection will be deployed to expand the company’s distribution network and presence across key markets.
GreenFi uses artificial intelligence and language models to automate due diligence and reporting for compliance, which traditionally requires manual workflows.
GreenFi founder Barun Chandran said the company is building AI agents to enable teams to extract insights and streamline workflows.