NEWS
MindBridge launches GPU-powered Insights Factory
MindBridge, the Canadian specialist in AI-powered financial decision intelligence, has unveiled its GPU-accelerated Insights Factory – billed as a breakthrough in computational infrastructure that delivers analytics performance up to eight times faster than before.
This enhancement is pitched as exponentially increasing the speed and scale with which financial data is analyzed, interpreted and actioned – setting a new standard for real-time financial 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.
“ We’ ve rebuilt the core of how we generate insights to meet the scale and complexity of modern finance operations,” said Rachel Kirkham, CTO, 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 computeintensive 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 is pitched as providing a seamless, real-time feed of financial intelligence that enhances internal controls, accelerating decision-making and supporting enterprise-wide digital finance transformation.
MIT startup TechNext awarded patent for breakthrough technology forecasting system
TechNext, a Massachusetts Institute of Technology( MIT) startup, has been awarded US Patent No. 12,099,572 B2 for its novel system that predicts improvement rates across the vast spectrum of definable technologies – from quantum computing to self-driving cars.
With global R & D spending exceeding $ 2 trillion annually, organizations struggle to allocate resources effectively – often wasting billions on technological dead ends.
“ R & D has become one of the fastest-growing expenses for companies, yet most decisions still rely on intuition rather than data. We have been flying blind,” said Anuraag Singh, TechNext Co-founder and Co-inventor of the patented technology.
“ Our newly patented system for quantitative technology performance forecasting, provides the crucial missing piece: a rapid, data-driven, and systematic way to anticipate the future.”
The system relies on large empirical datasets, patented algorithms to precisely define tens of thousands of technologies and to forecast improvement rates in their performance.
TechNext helps organizations anticipate and capitalize on disruptive technology opportunities, identify acquisition targets and create new revenue streams by identifying promising technologies early.
Customers range from the US Air Force to venture capital firms and investment funds.
Singh, together with co-inventor and co-founder Prof. Christopher L. Magee( Professor Emeritus, MIT), identified the acute need for objective forecasting tools based on their experiences shaping technology strategy at global leaders such as Honda Japan and Ford.
TechNext’ s research is utilized by national laboratories and universities worldwide.
“ Traditional forecasting methods can’ t keep pace with technological change,” said Prof. Magee.
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