#datanimbus

In today's data-driven world, enterprises deal with an ever-growing volume of data scattered across multiple systems, platforms, and formats. Data Virtualization by DataNimbus offers a powerful solution — enabling enterprises to access, manage, and leverage data without physically moving it

Highlights

Unified Data Access Provide a unified view of data across various sources, making it accessible without the need for physical data movement.

Agile Data Delivery Enable rapid access to real-time data, fostering agility in decision-making and reducing latency in data delivery.

Dynamic Data Integration Dynamically integrate data from disparate sources, allowing for on-the-fly changes in data structure and sources without disruption.

Cost-Efficient Resource Utilization Optimize resource utilization by virtualizing data, minimizing the need for physical storage and reducing infrastructure costs.

Enhanced Collaboration Foster collaboration among teams by providing a shared virtualized data layer, ensuring consistency and accuracy in data interpretation.

Use Cases

Business Intelligence and Reporting Enable seamless integration of diverse data sources for comprehensive business intelligence, reporting, and analytics.

Operational Data Integration Streamline operational processes by providing real-time access to consolidated data without the need for extensive ETL processes.

Data Lakes and Warehouses Enhance data lakes and warehouses by providing a virtual layer for easier access to distributed data without physical movement.

Application Development and Testing Facilitate efficient application development and testing by providing virtualized data for developers, reducing dependencies on production data.

Overview:

One of Asia’s leading infrastructure finance institutions manages a portfolio spanning renewable energy, highways, transmission, and large-scale structured lending; financing infrastructure projects collectively worth over $20 billion. To protect lender interests and ring-fence cash flows, every project operates through dedicated escrow and TRA accounts. 

At scale, that means managing 2,000+ active accounts across multiple banking partners. Behind that scale was a reconciliation operation running entirely on spreadsheets and manual effort. 

This created recon delays, capital misallocation risk, and no real-time view of where money was moving.

Business Challenge:

Every bank in the organization’s network operated differently. Statements came in through APIs, email attachments, banking portals, and file transfers — each in its own format, on its own schedule. Before reconciliation could even begin, teams had to manually collect and standardize data across all of them.

Multiplied across 2,000+ escrow and TRA accounts, the manual effort was enormous. Reconciliation cycles ran days behind. Budget tracking happened in spreadsheets, updated after the fact. And because no single system connected everything, there was no real-time picture of cash positions, inflows, or project-level utilization. 

 DataNimbus launches finhub.ai, an AI-powered platform that helps businesses to pay, get paid, manage trust, and forecast cash flows, all in one connected experience

DataNimbus organized a finhub.ai launch event for customers and key industry leaders. The session saw strong participation from senior banking and payments leaders, who appreciated the clarity of finhub.ai’s vision and the outcomes it aims to deliver. Attendees applauded the platform’s latest AI features, such as automated customer onboarding, generative AI-powered analytics, and ML-driven transaction intelligence.

Why This Matters

Financial operations are becoming increasingly complex, spanning multiple systems, partners, and geographies. At the same time, artificial intelligence is rapidly maturing from experimentation to large-scale enterprise adoption. Over the last three years, DataNimbus has made focused investments in AI and has delivered several production deployments with enterprises globally, where AI adoption is highly advanced.

This journey helped us build robust AI capabilities that are secure, scalable, and operationally impactful. With finhub.ai, we are now bringing those learnings to finhub.ai, helping businesses improve efficiency, accelerate decision-making, and modernize money operations through an AI-powered platform.

How finhub.ai Powers End-to-End Financial Workflows

By applying AI across configuration, execution, monitoring, and financial visibility, finhub.ai significantly reduces the manual effort required to launch and manage complex financial workflows. Teams benefit from improved day-to-day operational efficiency, stronger governance, and real-time transparency into money flows that align with regulatory requirements.

The platform supports real-world use cases such as escrow and trust-based commerce, multi-party payouts, and real-time fund visibility across complex business models, helping organizations adapt to new business arrangements without rebuilding their financial infrastructure.

“finhub.ai reflects our commitment to innovating products and leveraging AI to enable faster speed-to-market, lower operational cost, accurate data-driven financial decision better compliance, and accelerating revenue growth.” Vasudeva Anumukonda, CEO DataNimbus

About finhub.ai

finhub.ai is an intelligent, purpose-built platform for connected commerce and business finance. The platform serves banks, enterprises, marketplaces, and digital-native platforms, all operating different business models, but facing the same need to move money, maintain visibility, connect systems, and govern funds with confidence.

The platform annually processes more than $1 trillion in global fund movement and serves 100k+ users across Asia, MENA, and North America.

The Growing Need for Visual Workflow Design in Databricks

Databricks has emerged as the go-to platform for large-scale data processing, machine learning, and AI-driven analytics. With its powerful Spark-based architecture, seamless cloud integration, and robust performance capabilities, Databricks empowers enterprises to modernize their data engineering landscape. As organizations scale their data workflows, the need for enhanced usability and streamlined workflow management becomes more pronounced.

While Databricks provides a strong foundation for data engineering, many teams seek additional tools to simplify the orchestration and monitoring of complex ETL/ELT pipelines. DataNimbus Designer (DnD) complements Databricks by introducing a native visual workflow designer, enabling users to create, manage, and optimize data workflows with an intuitive, drag-and-drop interface—enhancing efficiency without relying on external ETL/ELT tools.

Why Running Databricks Workflows Natively Is Better Than External Tools

Introduction: The Rise of GIFT City

India has long been recognized as a hub for IT services and back-office operations. But, with Gujarat International Finance Tec-City (GIFT City), India is signaling a bold ambition: to become a leader in international finance.

GIFT City is India’s first International Financial Services Centre (IFSC). It offers a tax-friendly regime, world-class infrastructure, and a progressive regulatory environment to attract global banks, insurers, capital market participants, and fintech innovators. Positioned strategically between Asian and Western markets, it aspires to compete with established hubs like Singapore, Dubai, and London.

The goal is clear to build a global financial hub on Indian soil that can serve domestic needs while also facilitating international trade and investment.

Why GIFT City Matters Now

The timing of GIFT City’s rise could not be more critical. Global finance is undergoing a significant shift: capital flows are becoming increasingly digital, cross-border transactions are accelerating, and financial institutions are under pressure to reduce costs while complying with stringent regulations.

For financial institutions, being present in GIFT City is not optional; it’s becoming a competitive necessity. Here’s why:

Gateway to Global Capital: IFSC entities at GIFT City can raise funds in foreign currency, access global investors, and provide international financial products from within India. This levels the playing field with foreign hubs and helps Indian institutions retain value onshore.

Regulatory Innovation: The International Financial Services Centres Authority (IFSCA) has rolled out frameworks aligned with global norms, including ISO 20022 messaging standards, a licensing regime for digital banks, and fintech sandboxes to encourage experimentation. This gives participants both stability and flexibility.

Introduction

With the boom of AI and autonomous agents, we’ve already seen disruption across industries from automating engineering workflows to drafting legal contracts to handling customer support. And now, there’s a not-so-silent shift happening in the payments landscape.

Agent-led commerce is no longer a futuristic idea; it’s already here. Analysts estimate that by 2030, up to 30% of digital transactions could be initiated by AI agents rather than humans. That’s billions of payments annually happening without a human ever clicking “Buy.”.

For businesses, this is not just a technological shift—it’s a new competitive battleground. Those who adapt early will unlock new revenue streams and more efficient business models, while those who don’t risk being left behind.

What is Agent-Led Commerce?