Latest news with #MindBridge
Yahoo
08-07-2025
- Business
- Yahoo
MindBridge Announces Integration with Snowflake for AI-Powered Financial Data Analysis on AI Data Cloud
Seamless connection between MindBridge and Snowflake's AI Data Cloud enables joint customers to easily detect financial risks, errors, and opportunities OTTAWA, Ontario, July 08, 2025--(BUSINESS WIRE)--MindBridge, the leader in AI-powered financial decision intelligence, today announced its integration with Snowflake, the AI Data Cloud company, enabling finance teams to seamlessly analyze financial data for continuous, AI-powered analysis. Through this new integration, organizations can uncover deeper financial insights, strengthen internal controls, and accelerate decision-making, all while maintaining their existing security, governance, and control over their data. MindBridge allows finance leaders to "see the unseen" by analyzing every transaction in real time, surfacing risks, anomalies, and opportunities for optimization. With this new integration, organizations can securely connect MindBridge to their data without complicated processes or manual work. This makes it easier for finance teams to get the insights they need faster, allowing them to review and mitigate risks more effectively. "Finance leaders are under increasing pressure to deliver accurate, real-time insights that support the business," said Rachel Kirkham, Chief Technology Officer at MindBridge. "MindBridge's integration with Snowflake's AI Data Cloud allows organizations to easily apply AI-driven analysis of their financial data for explainable, proactive insights finance teams trust." By leveraging secure data pipelines within the Snowflake AI Data Cloud, organizations can easily and securely use MindBridge for automated analysis, without adding complexity or risk. Risk scores and insights from MindBridge can also be leveraged in existing workflows, shortening the time to identify and act on findings and minimizing additional training or complex implementations. Every time data is updated - whether that's daily, weekly, or on demand - MindBridge automatically runs its analysis, so finance teams always have a consistent, up-to-date view of their financial risk. "Integrating MindBridge's capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy," said Rinesh Patel, Global Head of Financial Services, Snowflake. "This collaboration aligns perfectly with our commitment to helping financial services organizations harness the full power of their data while reducing operational complexity and maintaining data sovereignty." Key Benefits of the Integration Simple, scalable integration - MindBridge connects directly to the Snowflake AI Data Cloud, leveraging secure data pipelines to automate analysis within existing governance frameworks. Real-time financial risk insights - Finance teams gain continuous access to AI-powered analytics across all financial transactions, enabling earlier risk detection, more confident decision-making, and more accurate reporting. Enterprise-grade security and control - Organizations retain full control over their data within Snowflake, with flexible options for configuring analysis schedules, triggers, and permissions to meet internal compliance and governance standards. Frictionless insights delivery - With automated data delivery and analysis execution, business users can access the latest results in the MindBridge UI or within their existing workflow systems, providing more flexibility to surface insights where and when they're needed most — without disrupting established processes. Integrated risk intelligence - Risk scores and analysis results are retrieved via API back into the Snowflake platform, enabling continuous risk monitoring, deeper investigations, and integrated reporting alongside other business KPIs. MindBridge's integration with the Snowflake AI Data Cloud reflects a broader strategy by the company to deliver frictionless financial decision intelligence across modern enterprise environments — helping organizations improve operational efficiency, strengthen internal controls, and drive smarter business decisions at scale. About MindBridge Analytics Inc. Founded in 2015 and headquartered in Ottawa, Canada, MindBridge is the global leader in AI-driven financial decision intelligence. MindBridge empowers finance professionals to detect anomalies and manage risk for vast amounts of data with unimagined precision. Analyzing all financial transactional data, all the time, MindBridge enables companies to identify and manage risk across the enterprise through the lens of the auditor, regulator, and bespoke financial controls. Financial leaders rely on MindBridge's proven, innovative AI to uncover risk and drive proactive financial oversight. Learn more at View source version on Contacts Media contact: Linsey FlanneryDirector, Marketing Error in retrieving data Sign in to access your portfolio Error in retrieving data
National Post
08-07-2025
- Business
- National Post
MindBridge Announces Integration with Snowflake for AI-Powered Financial Data Analysis on AI Data Cloud
Article content Sorry, your browser doesn't support embedded videos. Article content Seamless connection between MindBridge and Snowflake's AI Data Cloud enables joint customers to easily detect financial risks, errors, and opportunities Article content Article content OTTAWA, Ontario — MindBridge, the leader in AI-powered financial decision intelligence, today announced its integration with Snowflake, the AI Data Cloud company, enabling finance teams to seamlessly analyze financial data for continuous, AI-powered analysis. Through this new integration, organizations can uncover deeper financial insights, strengthen internal controls, and accelerate decision-making, all while maintaining their existing security, governance, and control over their data. Article content 'Integrating MindBridge's capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy' – Rinesh Patel, Global Head of Financial Services, Snowflake. Article content MindBridge allows finance leaders to 'see the unseen' by analyzing every transaction in real time, surfacing risks, anomalies, and opportunities for optimization. With this new integration, organizations can securely connect MindBridge to their data without complicated processes or manual work. This makes it easier for finance teams to get the insights they need faster, allowing them to review and mitigate risks more effectively. Article content 'Finance leaders are under increasing pressure to deliver accurate, real-time insights that support the business,' said Rachel Kirkham, Chief Technology Officer at MindBridge. 'MindBridge's integration with Snowflake's AI Data Cloud allows organizations to easily apply AI-driven analysis of their financial data for explainable, proactive insights finance teams trust.' Article content By leveraging secure data pipelines within the Snowflake AI Data Cloud, organizations can easily and securely use MindBridge for automated analysis, without adding complexity or risk. Risk scores and insights from MindBridge can also be leveraged in existing workflows, shortening the time to identify and act on findings and minimizing additional training or complex implementations. Every time data is updated – whether that's daily, weekly, or on demand – MindBridge automatically runs its analysis, so finance teams always have a consistent, up-to-date view of their financial risk. Article content 'Integrating MindBridge's capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy,' said Rinesh Patel, Global Head of Financial Services, Snowflake. 'This collaboration aligns perfectly with our commitment to helping financial services organizations harness the full power of their data while reducing operational complexity and maintaining data sovereignty.' Article content Key Benefits of the Integration Article content Simple, scalable integration – MindBridge connects directly to the Snowflake AI Data Cloud, leveraging secure data pipelines to automate analysis within existing governance frameworks. Real-time financial risk insights – Finance teams gain continuous access to AI-powered analytics across all financial transactions, enabling earlier risk detection, more confident decision-making, and more accurate reporting. Enterprise-grade security and control – Organizations retain full control over their data within Snowflake, with flexible options for configuring analysis schedules, triggers, and permissions to meet internal compliance and governance standards. Frictionless insights delivery – With automated data delivery and analysis execution, business users can access the latest results in the MindBridge UI or within their existing workflow systems, providing more flexibility to surface insights where and when they're needed most — without disrupting established processes. Integrated risk intelligence – Risk scores and analysis results are retrieved via API back into the Snowflake platform, enabling continuous risk monitoring, deeper investigations, and integrated reporting alongside other business KPIs. Article content MindBridge's integration with the Snowflake AI Data Cloud reflects a broader strategy by the company to deliver frictionless financial decision intelligence across modern enterprise environments — helping organizations improve operational efficiency, strengthen internal controls, and drive smarter business decisions at scale. Article content About MindBridge Analytics Inc. Article content Founded in 2015 and headquartered in Ottawa, Canada, MindBridge is the global leader in AI-driven financial decision intelligence. MindBridge empowers finance professionals to detect anomalies and manage risk for vast amounts of data with unimagined precision. Analyzing all financial transactional data, all the time, MindBridge enables companies to identify and manage risk across the enterprise through the lens of the auditor, regulator, and bespoke financial controls. Financial leaders rely on MindBridge's proven, innovative AI to uncover risk and drive proactive financial oversight. Learn more at Article content Article content Article content Article content Contacts Article content Media contact: Article content Article content Article content Article content
Business Wire
08-07-2025
- Business
- Business Wire
MindBridge Announces Integration with Snowflake for AI-Powered Financial Data Analysis on AI Data Cloud
OTTAWA, Ontario--(BUSINESS WIRE)-- MindBridge, the leader in AI-powered financial decision intelligence, today announced its integration with Snowflake, the AI Data Cloud company, enabling finance teams to seamlessly analyze financial data for continuous, AI-powered analysis. Through this new integration, organizations can uncover deeper financial insights, strengthen internal controls, and accelerate decision-making, all while maintaining their existing security, governance, and control over their data. 'Integrating MindBridge's capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy' - Rinesh Patel, Global Head of Financial Services, Snowflake. Share MindBridge allows finance leaders to 'see the unseen' by analyzing every transaction in real time, surfacing risks, anomalies, and opportunities for optimization. With this new integration, organizations can securely connect MindBridge to their data without complicated processes or manual work. This makes it easier for finance teams to get the insights they need faster, allowing them to review and mitigate risks more effectively. 'Finance leaders are under increasing pressure to deliver accurate, real-time insights that support the business,' said Rachel Kirkham, Chief Technology Officer at MindBridge. 'MindBridge's integration with Snowflake's AI Data Cloud allows organizations to easily apply AI-driven analysis of their financial data for explainable, proactive insights finance teams trust.' By leveraging secure data pipelines within the Snowflake AI Data Cloud, organizations can easily and securely use MindBridge for automated analysis, without adding complexity or risk. Risk scores and insights from MindBridge can also be leveraged in existing workflows, shortening the time to identify and act on findings and minimizing additional training or complex implementations. Every time data is updated - whether that's daily, weekly, or on demand - MindBridge automatically runs its analysis, so finance teams always have a consistent, up-to-date view of their financial risk. 'Integrating MindBridge's capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy,' said Rinesh Patel, Global Head of Financial Services, Snowflake. 'This collaboration aligns perfectly with our commitment to helping financial services organizations harness the full power of their data while reducing operational complexity and maintaining data sovereignty.' Key Benefits of the Integration Simple, scalable integration - MindBridge connects directly to the Snowflake AI Data Cloud, leveraging secure data pipelines to automate analysis within existing governance frameworks. Real-time financial risk insights - Finance teams gain continuous access to AI-powered analytics across all financial transactions, enabling earlier risk detection, more confident decision-making, and more accurate reporting. Enterprise-grade security and control - Organizations retain full control over their data within Snowflake, with flexible options for configuring analysis schedules, triggers, and permissions to meet internal compliance and governance standards. Frictionless insights delivery - With automated data delivery and analysis execution, business users can access the latest results in the MindBridge UI or within their existing workflow systems, providing more flexibility to surface insights where and when they're needed most — without disrupting established processes. Integrated risk intelligence - Risk scores and analysis results are retrieved via API back into the Snowflake platform, enabling continuous risk monitoring, deeper investigations, and integrated reporting alongside other business KPIs. MindBridge's integration with the Snowflake AI Data Cloud reflects a broader strategy by the company to deliver frictionless financial decision intelligence across modern enterprise environments — helping organizations improve operational efficiency, strengthen internal controls, and drive smarter business decisions at scale. About MindBridge Analytics Inc. Founded in 2015 and headquartered in Ottawa, Canada, MindBridge is the global leader in AI-driven financial decision intelligence. MindBridge empowers finance professionals to detect anomalies and manage risk for vast amounts of data with unimagined precision. Analyzing all financial transactional data, all the time, MindBridge enables companies to identify and manage risk across the enterprise through the lens of the auditor, regulator, and bespoke financial controls. Financial leaders rely on MindBridge's proven, innovative AI to uncover risk and drive proactive financial oversight. Learn more at
Finextra
09-06-2025
- Business
- Finextra
MindBridge unveils GPU-accelerated Insights Factory
MindBridge, the leader in AI-powered financial decision intelligence, today unveiled its GPU-accelerated Insights Factory — a breakthrough in computational infrastructure that delivers analytics performance up to eight times faster than before. 0 This enhancement exponentially increases the speed and scale with which financial data is analyzed, interpreted, and actioned, setting a new standard for real-time financial intelligence. As financial operations become more complex and data-driven, the need for real-time, explainable, and scalable intelligence is greater than ever. MindBridge meets this need by empowering finance professionals to see the unseen, analyzing 100% of financial transactions across both enterprise and audit environments, to proactively detect risks, surface errors, and identify opportunities for optimization. 'We've rebuilt the core of how we generate insights to meet the scale and complexity of modern finance operations,' said Rachel Kirkham, Chief Technology Officer at MindBridge. 'With GPU acceleration, customers can move faster, explore more data, and uncover more profound financial patterns - all without compromising on speed or scale.' Leveraging the power of GPUs, the new Insights Factory redefines how AI-driven analytics are executed. GPUs are purpose-built for high-speed parallel computation, making them ideal for the compute-intensive algorithms at the core of MindBridge's analytics engine. This infrastructure leap dramatically expands the volume, velocity, and complexity of data the platform can process — enabling organizations to run advanced analytics on massive, multi-source datasets in near real time, and keep pace with the growing demands of modern finance. By integrating directly into existing financial ecosystems, the platform provides a seamless, real-time feed of financial intelligence that enhances internal controls, accelerates decision-making, and supports enterprise-wide digital finance transformation. The launch of the Insights Factory also marks a significant expansion in capability across MindBridge's platform. The new infrastructure now powers 13 of the 14 use cases in the company's Enterprise Use Case Library, supporting a wide range of core financial workflows such as revenue management, financial reporting, and expense management. In addition, the Insights Factory enhances performance for Audit & Assurance (A&A) subledger analyses, enabling faster, more comprehensive testing of high-volume transactions and supporting time-critical activities like year-end financial reviews. Key benefits of the new Insight Factory include: Run analytics on complex, high-volume workflows, including subledger and transactional data Accelerate iteration cycles, allowing faster testing, tuning, and deployment of new analytics Enable higher-frequency workflows, such as daily or weekly reviews, without performance limitations Support enterprise-scale analysis across multi-entity and multi-system environments Deliver faster results, reducing the time from data ingestion to insight-driven action This release represents a key milestone in MindBridge's mission to provide the foundational infrastructure and tools finance teams need to improve top-line growth and bottom-line protection, by surfacing hidden inefficiencies, unknown risks, and untapped opportunities.
National Post
09-06-2025
- Business
- National Post
MindBridge Launches GPU-Powered Insights Factory, Delivering 8x Faster Financial Intelligence
Article content Infrastructure upgrade marks a major leap in MindBridge's platform evolution toward continuous, intelligent financial analysis across modern enterprises Article content OTTAWA, Ontario — MindBridge, the leader in AI-powered financial decision intelligence, today unveiled its GPU-accelerated Insights Factory — a breakthrough in computational infrastructure that delivers analytics performance up to eight times faster than before. This enhancement exponentially increases the speed and scale with which financial data is analyzed, interpreted, and actioned, setting a new standard for real-time financial intelligence. Article content Article content As financial operations become more complex and data-driven, the need for real-time, explainable, and scalable intelligence is greater than ever. MindBridge meets this need by empowering finance professionals to see the unseen, analyzing 100% of financial transactions across both enterprise and audit environments, to proactively detect risks, surface errors, and identify opportunities for optimization. Article content 'We've rebuilt the core of how we generate insights to meet the scale and complexity of modern finance operations,' said Rachel Kirkham, Chief Technology Officer at MindBridge. 'With GPU acceleration, customers can move faster, explore more data, and uncover more profound financial patterns – all without compromising on speed or scale.' Article content Leveraging the power of GPUs, the new Insights Factory redefines how AI-driven analytics are executed. GPUs are purpose-built for high-speed parallel computation, making them ideal for the compute-intensive algorithms at the core of MindBridge's analytics engine. Article content This infrastructure leap dramatically expands the volume, velocity, and complexity of data the platform can process — enabling organizations to run advanced analytics on massive, multi-source datasets in near real time, and keep pace with the growing demands of modern finance. Article content By integrating directly into existing financial ecosystems, the platform provides a seamless, real-time feed of financial intelligence that enhances internal controls, accelerates decision-making, and supports enterprise-wide digital finance transformation. Article content The launch of the Insights Factory also marks a significant expansion in capability across MindBridge's platform. The new infrastructure now powers 13 of the 14 use cases in the company's Enterprise Use Case Library, supporting a wide range of core financial workflows such as revenue management, financial reporting, and expense management. In addition, the Insights Factory enhances performance for Audit & Assurance (A&A) subledger analyses, enabling faster, more comprehensive testing of high-volume transactions and supporting time-critical activities like year-end financial reviews. Article content Key benefits of the new Insight Factory include: Article content Run analytics on complex, high-volume workflows, including subledger and transactional data Accelerate iteration cycles, allowing faster testing, tuning, and deployment of new analytics Enable higher-frequency workflows, such as daily or weekly reviews, without performance limitations Support enterprise-scale analysis across multi-entity and multi-system environments Deliver faster results, reducing the time from data ingestion to insight-driven action Article content This release represents a key milestone in MindBridge's mission to provide the foundational infrastructure and tools finance teams need to improve top-line growth and bottom-line protection, by surfacing hidden inefficiencies, unknown risks, and untapped opportunities. Article content About MindBridge Article content MindBridge is the leader in AI-powered financial decision intelligence. The MindBridge platform empowers finance teams to analyze 100% of financial transactions in real time, enabling organizations to detect risk, surface anomalies, and optimize performance with greater speed and accuracy. At the core of the platform is the Central Insights Factory — a proprietary AI engine that transforms complex financial data into trusted, actionable insights. Trusted by auditors, finance leaders, and regulators around the world, MindBridge delivers transparent, explainable AI that strengthens internal controls, enhances compliance, and supports smarter financial decision-making. Learn more at Article content Article content Article content Article content Contacts Article content Media contact: Article content Article content Article content
