Daily CSR

TT Launches Market Replay and Enhanced Trade Surveillance Platform

Debashish Mukherjee — Mon, 29 Jun 2026 14:47:00 +0200

Technology solutions, has announced a significant enhancement to its TT Trade Surveillance platform. The latest update introduces a new Market Replay capability alongside a redesigned enterprise-grade case management interface, aimed at improving the efficiency, speed and breadth of surveillance investigations across equities, futures, options, foreign exchange (FX), fixed income and cryptocurrency markets.

TT's compliance experts will showcase the upgraded platform through live, interactive demonstrations at the XLoD Global - London 2026 conference, which begins tomorrow.

The newly launched Market Replay feature serves as a comprehensive forensic analysis tool, enabling users to reconstruct and examine historical market activity over a 90-day period. By providing tick-by-tick and frame-by-frame visual replays of order book activity, the tool allows for faster, more precise and highly transparent investigations of past trading behavior.

The enhanced case management system combines robust Tier 1 governance controls with a streamlined and intuitive user experience. Built on a high-performance, cloud-based architecture, the platform enables compliance teams operating across multiple regions to collaborate effectively on extensive historical datasets, simplify communications and oversee the entire investigative process within a unified workspace.

According to Jay Biondo, Head of Surveillance at TT, the Market Replay capability offers exchanges and regulators an advanced mechanism for enforcing market abuse regulations by allowing unprecedented levels of behavioral analysis. He noted that the redesigned case management interface delivers substantial improvements in speed and functionality compared to previous versions and represents a major advancement over traditional legacy systems. Biondo added that TT's modernized architecture is reshaping the way global compliance teams detect, monitor and address market risks, while also establishing a framework for future AI-powered analytical capabilities.

TT Trade Surveillance is currently utilized by more than 100 organizations worldwide and is fully integrated within the TT platform. The cloud-hosted solution reduces false-positive alerts through a combination of standard surveillance models and customizable monitoring tools. Among its core capabilities is the industry's only machine learning-based spoofing detection model trained on actual regulatory enforcement cases. This model assigns risk scores on a scale of 1 to 100, enabling compliance teams to prioritize alerts according to their statistical similarity to previous regulatory actions and focus on cases most likely to draw regulatory scrutiny. Additionally, TT Trade Surveillance can seamlessly ingest and normalize multi-asset trading data from both the TT platform and external sources through flat files, FIX drop copies and exchange drop copy feeds.

DROS Launches AI Voice Agents for Compliant Debt Collection

Debashish Mukherjee — Tue, 16 Jun 2026 12:50:00 +0200

As the debt collection sector navigates growing compliance concerns surrounding the adoption of AI-powered voice technologies, DROS.ai is introducing a more controlled and regulation-focused solution. Collection calls remain among the most heavily regulated interactions within the debt recovery lifecycle, and organizations face substantial compliance risks under regulations such as the Fair Debt Collection Practices Act (FDCPA) when AI systems operate without sufficient customer context, oversight, and safeguards.

DROS.ai has announced the launch of its highly anticipated AI voice agents designed specifically for debt collection and recovery operations. The new capability ensures that every interaction begins with comprehensive account information, applicable compliance requirements, and predefined next-action workflows already in place. These AI-powered collection agents are engineered to deliver speed, precision, and regulatory adherence for highly regulated industries.

The importance of deploying intelligent AI solutions has never been greater. Organizations today operate in an environment where sophisticated fraud schemes are becoming increasingly prevalent, making it essential to combine operational efficiency with strong compliance controls.

According to a recent report by Thomson Reuters, the rapidly evolving compliance and risk landscape has been accompanied by increased use of AI, automation, and cryptocurrencies by criminals to conduct fraudulent activities more effectively.

Further highlighting the challenge, ITPro.com reports that one in five organizations loses more than $1 million annually due to security and compliance-related failures, with nearly 30% of these losses linked directly to deficiencies in these areas.

As AI voice technology becomes more widely adopted within debt collection processes, maintaining customer interactions that are context-driven, compliant, and fully auditable has become a critical requirement. Many traditional AI calling solutions struggle to meet these expectations consistently.

In today's environment, organizations need both operational agility and effective governance to remain competitive. DROS's latest innovation is designed to address precisely these needs.

Transforming Collections Through Contextual Intelligence
To overcome the limitations of conventional AI collection tools, DROS developed voice agents that access and analyze complete account information before every conversation. This enables more personalized, compliant, and productive interactions with customers.

The platform supports both inbound and outbound collection operations while incorporating predefined scripts, compliance frameworks, and built-in safeguards. Unlike traditional automated dialers that engage customers with limited context, DROS voice agents review the full account history before initiating a conversation, allowing each interaction to continue seamlessly from where the previous engagement ended.

The platform incorporates critical account information, including:

Payment history and previously broken Promises to Pay (PTPs)
Active disputes and hardship indicators
Recent engagement through SMS, email, and customer portals
Agent notes, preferred language settings, and communication preferences

"Many AI voice solutions used in collections function primarily as scripted cold-calling systems. DROS was built with a fundamentally different approach. Every conversation begins with a complete view of the customer's account, relevant compliance requirements, and a record of all previous interactions. Our clients are already benefiting from capabilities such as rapid customer verification within seconds and synchronized voice and SMS automation delivered through purpose-built AI agents. The results demonstrate the value of combining automation with contextual intelligence," said Anshul Shrivastava, Vodex's CEO.

DROS continues to expand its AI-native collections engagement platform, with additional capabilities under development for debt recovery and accounts receivable workflows. The company's objective remains focused on providing collection teams with the visibility, control, and compliance tools necessary to operate efficiently at scale.

At the core of DROS's long-term vision is the ambition to create the industry's most comprehensive AI engagement platform for collections. By prioritizing compliance, operational effectiveness, and contextual intelligence, the company aims to support regulated industries while establishing itself as a leading technology platform for debt recovery operations.

Frequently Asked Questions
What is DROS.ai?
DROS.ai is an AI-driven engagement platform designed for collection teams. It consolidates debtor communications, account management workflows, and recovery operations into a unified system.

Can DROS AI voice agents be used for both first-party and third-party collections?
Yes. DROS supports first-party collection departments, third-party collection agencies, and debt buyers within a single platform. Compliance settings, scripts, and operational guardrails can be customized for individual portfolios and collection programs.

Can organizations test the voice agent before deploying it in production?
Yes. DROS provides a testing environment that allows users to preview the agent's voice, experience simulated conversations using actual scripts and account variables, and make refinements before activating the solution in a live production environment.

7Rivers Secures $5M Series A Funding to Scale Snowflake AI Data Solutions

Debashish Mukherjee — Tue, 24 Feb 2026 15:42:00 +0100

7Rivers, an innovative technology services firm that helps organizations leverage data and AI to generate measurable business impact, announced it has secured $5 million in Series A funding. The investment was led by Inoca Capital Partners, which acquired a minority stake in the company.

As a certified Snowflake Elite Partner, 7Rivers supports enterprises on their digital transformation journeys, using the Snowflake AI Data Cloud as a scalable platform for modernization and AI-driven innovation. This funding represents the next phase in the company’s growth, advancing its goal of helping customers become Data Native® and AI-powered organizations.

“Our goal at 7Rivers is to enable individuals and businesses to reach their full potential through data and AI,” said Paul Stillmank, Founder of 7Rivers.

“We see the enterprise of the future as one where human expertise and AI work together to produce meaningful results. This investment allows us to expand that vision by strengthening our team, solutions, and accelerators so clients can transform more rapidly. Snowflake provides the scalability, intelligence, and reliability required to bring this vision to life.”

7Rivers has rapidly established itself as a trusted Snowflake specialist, recently earning industry competencies across financial services, manufacturing, technology, media and communications, and retail. Its Data Native framework and Snowflake-aligned accelerators help organizations overcome technical challenges, optimize data pipelines, and deliver tangible business value efficiently.

“Inoca Capital supports companies that drive change and foster scalable growth,” said Chris Sheffert, Managing Director at Inoca Capital Partners.

“7Rivers’ strong consulting capabilities and outcome-focused approach make it a standout partner in the Snowflake ecosystem. We’re excited to support their next stage of expansion.”

7Rivers offers a distinct value proposition within the Snowflake partner ecosystem, including Snowflake-certified data engineers and architects, strategic accelerators that shorten time-to-insight and reduce costs, expertise in Data Vault 2.0 and AI/ML implementations, and secure custom GenAI applications built natively on Snowflake’s AI/ML platform.

With the new funding, 7Rivers plans to expand Snowflake-focused delivery and product teams, scale GenAI offerings within and beyond the Snowflake Marketplace, develop industry-specific solution templates and use case libraries, and strengthen sales, marketing, and partner enablement initiatives to grow in existing and new markets.

“This collaboration with Snowflake reflects a shared vision for the future of intelligent, AI-driven enterprises,” said Ben Kerford, President of 7Rivers.

“With Inoca’s support, we’re ready to accelerate innovation and help clients unlock new business value. This investment enables us to broaden our reach, deepen our Snowflake partnership, and expand our Data Native® application portfolio while scaling our go-to-market efforts.”

Click here to know more about 7Rivers’ Snowflake-powered solutions and how they help organizations streamline operations and drive transformation.