For modern enterprises, relying on legacy point-in-time penetration testing or fragmented security tools has turned into a severe structural liability, leaving boardroom executives struggling to maintain system visibility or defend their expanding supply chains.

To neutralize these fast-moving digital threats, global technology services company LTM (formerly LTIMindtree) announced the launch of BlueVerse RightLogic.

Unveiled as part of the company’s expanding enterprise AI suite, the release delivers an advanced cybersecurity assessment and risk assurance framework. By combining automated exposure mapping with an evidence-led execution model, the launch transforms the IT Services, Cybersecurity Governance, and Digital Risk Management landscapes—moving corporate defense away from disconnected security tools and establishing a secure, guarded roadmap for scaling artificial intelligence.

Technical Architecture: Dual-Perspective Ingestion Over a Structured Sprint

The primary objective behind BlueVerse RightLogic is the elimination of visibility silos between technical security practitioners and corporate boardrooms. Instead of drowning security administrators in thousands of disjointed software alerts, the platform organizes exposure analysis into a centralized, business-aligned intelligence tier.

Also Read: The Rise of Sovereign AI: How the Cognizant-Domyn Partnership Redefines the Artificial Intelligence Landscape

Delivered through a structured 4 to 6 week strategic engagement, the underlying diagnostic engine evaluates risk across a comprehensive evaluation matrix:

Dual-Perspective Evaluation Model: The framework uniquely integrates an “outside-in” view of adversarial exposure (how a rogue autonomous model perceives the company’s public internet perimeter) with an “inside-out” assessment of enterprise preparedness spanning people, processes, and technology.

Specialized AI Risk Lens: Features a dedicated analytical layer built explicitly to identify model vulnerabilities, configuration drifts, prompt-injection exposures, data poisoning channels, and generative AI compliance readiness.

Full-Spectrum Infrastructure Mapping: Scans and inventories critical security elements across legacy core systems, network exposure perimeters, identity and access management (IAM) controls, and open-source software dependencies.

Board-Ready Risk Quantification: Translates highly complex, low-level technical vulnerabilities into prioritized, audit-ready operational indices, allowing non-technical corporate boards to confidently guide resource allocation.

Transforming the IT Services and Cybersecurity Market

The institutional deployment of an end-to-end assurance framework by a major global technology partner alters standard operating metrics across the tech consulting and risk advisory sectors.

The Obsolescence of Fragmented Point-In-Time Security Audits
For years, the corporate risk management sector operated on a cyclical compliance model—companies hired external contractors once or twice a year to run a standard vulnerability scan, filed the paperwork to check a compliance box, and left internal infrastructure exposed between cycles. LTM’s launch highlights the strategic failure of this static approach.

Because AI-driven threats are autonomous, continuous, and infinitely scalable, security frameworks can no longer treat risk as a static metric. The market is entering a rapid transition phase toward continuous, evidence-led risk assurance, where technology vendors are judged by their ability to provide an unbroken path from discovery to live system patch.

Consolidating Governance, Security, and AI Monetization
The introduction of BlueVerse RightLogic expands LTM’s broader platform strategy, sitting directly alongside its recently launched BlueVerse on Databricks data intelligence suite and its secure service edge (SSE) zero-trust architecture.

By tying AI monetization directly to native data governance and active threat remediation, the company highlights a critical industry consolidation: enterprises can no longer scale production-grade AI without a unified security fabric. Point-solution consulting firms face intense pressure to expand their capabilities, shifting the industry benchmark from narrow feature deployment to holistic, guarded system orchestration.

Broad Operational Impact on Enterprise Businesses

For massive global brands looking to deploy advanced automation models without exposing their core intellectual property to data leaks or external hijackers, implementing a structured assurance framework yields clear commercial advantages.

Securing the Software Supply Chain From Malicious Contamination

Corporate modern software development heavily depends upon open source repositories and commercial code packages to create custom automation models. Unfortunately, if any attacker manages to inject a stealth code or backdoor vulnerability into a very popular open source library that is being used by a lot of companies, then any such companies that use the said library inadvertently end up putting a huge vulnerability not only upon their systems but also across their entire networks.

Performing the tasks with the help of RightLogic’s system which brings an integration ensures continuous scanning and verification of the software supply chain. Besides, it helps to protect against structural corruption and also guards against remote lateral attacks on the enterprise databases.

Moving IT Skills from Alert Overload to Remediation

When enterprises deploy large number of disparate security applications, manpowered IT personnel get overwhelmed by the endless influx of mostly trivial alerts. This is compounded by them spending countless hours manually reconciling different vulnerability lists while serious threats remain uncovered.

Taking advantage of a well-defined, partner-led ecosystem to implement a transparent and prioritized remediation plan allows to reclaim significant internal capacity. Developers in the business can cease their involvement in manual triage and exclusively dedicate their time towards high-impact activities thereby improving turnaround time, addressing technical debt, and ultimately, making cybersecurity a major contributing factor to the company’s reputation and success.

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Fusion reactions, if achieved, will produce near-infinite, free-scarbon energy. Yet, it will be necessary that the design of fusion reactors is capable of providing materials that not only resist high levels of heat and plasma exposure but also intense neutron radiation for very long operational lifetimes. Predicting how different atomic structures will behave or degrade under such conditions has generally been beyond the reach of classical computers due to the exponential complexity of the quantum-mechanical interaction.

“Discovering and validating materials that can survive the interior of a fusion reactor is one of the greatest engineering challenges of our time,” said a senior research representative from Oak Ridge National Laboratory. “By partnering with IBM and Cleveland Clinic, we have shown that quantum computing has matured to a level where it can begin tackling these highly complex atomic simulations, accelerating our timeline toward commercial fusion energy.”

Also Read: ZeroTier Launches Quantum RC2 to Advance Post-Quantum Networking

Harnessing Utility-Scale Quantum Systems for Materials Science

The research team utilized IBM’s utility-scale quantum systems to execute the simulation algorithms. By mapping the electronic and structural properties of specialized candidate materials—such as advanced tungsten alloys and composite ceramics—directly onto quantum bits (qubits), the scientists were able to calculate atomic binding energies and structural defects with unprecedented precision.

The milestone delivers major technical advancements across several core scientific vectors:

Extreme Radiation Simulation: Models how high-energy neutron bombardment displaces atoms within a material’s crystal lattice, predicting structural degradation over time.

Thermal Stress Mapping: Evaluates how candidate fusion materials expand, contract, and conduct intense heat at the atomic level.

Algorithmic Portability: Leverages quantum error-mitigation techniques to run high-fidelity simulations on noisy, near-term quantum hardware.

Cross-Disciplinary Optimization: Explores how quantum algorithms designed for molecular biology and healthcare can be adapted to solve complex problems in physics and energy production.

Bridging the Gap Between Healthcare and Material Physics

The inclusion of Cleveland Clinic in a nuclear fusion materials project highlights a significant trend toward cross-disciplinary technology platforms. As part of their ongoing Discovery Accelerator partnership with IBM, Cleveland Clinic researchers have heavily invested in developing quantum algorithms for molecular modeling, drug discovery, and cellular simulation.

The mathematical frameworks developed to simulate complex biological molecules proved directly applicable to the atomic structures of fusion materials, demonstrating that quantum computing capabilities can scale seamlessly across entirely different scientific domains.

“The computational barriers in quantum chemistry are fundamentally the same, whether you are analyzing a complex protein for a life-saving therapy or a structural alloy for a clean energy reactor,” said a spokesperson for Cleveland Clinic. “This milestone underscores the immense value of collaborative research. The quantum methodologies we are perfecting together will have a profound ripple effect across healthcare, energy, and global industry.”

The peer-reviewed scientific findings and data models stemming from the computations are being prepared for open-source publication to benefit the broader global research community. Energy sector engineers, materials scientists, and quantum software developers can review the active algorithmic frameworks, explore hardware configuration details, and analyze initial simulation results by visiting the official IBM Research portal.

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A strategic initiative aims at the worldwide long-lasting equipment replacement cycle. Millions of actively connected devices, industrial automation systems, automotive systems, smart city points, satellites, and data centers use traditional public-key cryptography. Since these systems are greatly at risk of being decoded by the upcoming quantum computers, companies must now shift to quantum-resistant security technologies before the older encryption methods get broken.

“Post-quantum migration represents a global infrastructure transformation, not just a cybersecurity upgrade,” said Carlos Moreira, Founder and CEO of SEALSQ. “Our objective is to create a commercial funnel that starts with PQC readiness assessments and progressively expands into PKI modernization, digital identity infrastructure, secure elements, and post-quantum semiconductor deployments. This strategy allows SEALSQ to acquire customers earlier, increase customer lifetime value, and generate additional recurring revenue.”

Also Read: Opsin Joins Torq AMP Alliance Program to Deliver Hardened Governance for Agentic SecOps

To streamline this pipeline, SEALSQ is evaluating the development of a scalable, SaaS-based PQC Readiness Platform. The digital assessment suite would allow enterprises and governments to map their cryptographic asset inventories, identify specific algorithm vulnerabilities, evaluate exposure to “Harvest Now, Decrypt Later” data logging attacks, and generate a proprietary SEALSQ Quantum Readiness Score.

Expanding Recurring Revenue Models via Strategic Channels

The deployment utilizes SEALSQ’s deep historical relationships across semiconductor buyers, internet of things (IoT) manufacturers, industrial networks, and international public sectors. By introducing early cryptographic discovery workflows, SEALSQ aims to identify hardware requirements earlier in its customers’ design-in lifecycles, positioning its secure elements for long-term product integration.

To accelerate global adoption, the company plans to establish co-development channels alongside major cybersecurity firms, global systems integrators, hyperscale cloud providers, and telecommunications operators.

The new PQC readiness evaluation modules and security architecture roadmaps are active. Corporate security directors, cloud architects, IoT product managers, and enterprise risk executives can review platform integration specifications, evaluate cryptographic discovery toolkits, and schedule an operational infrastructure audit by visiting SEALSQ‘s official digital technology platform.

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Under the collaboration, the companies will be innovating on their respective platforms RxSight’s post-operative light-adjustable technology and Alcon’s PCIOL optical designs — and combining them to create a co-developed technology that enables surgeons to fine-tune visual outcomes for their cataract patients who choose a PCIOL.

“Our leading PCIOLs have helped millions of patients reduce or eliminate the need for glasses after cataract surgery,” said David J. Endicott, Chief Executive Officer of Alcon. “Together with RxSight’s technology, we have the opportunity to develop tunable PCIOLs, giving surgeons even greater confidence to refine outcomes after surgery.”

“We are excited to work with Alcon to provide patients greater access to outcomes customized to their needs after surgery,” said Ron Kurtz, President and Chief Executive Officer of RxSight. “This collaboration underscores our belief in the importance of adjustability and will help accelerate its expansion across a wider base of patients.”

As part of the agreement, RxSight will receive a $60 million upfront payment to begin development. RxSight could receive up to an additional $140 million in payments as development and regulatory milestones are met. Under the agreement, Alcon will lead global commercialization, while RxSight will be responsible for development and manufacturing and receive royalties on net sales.

Source: BusinessWire

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Today’s AI agents are powerful but unreliable. They can write code, answer questions, and complete short tasks, but they still struggle to operate autonomously over hours or days the way a human coworker does. To improve, agents need realistic environments to practice in, learn from, and be measured against. Independent benchmarks from METR show that the length of tasks AI agents can reliably complete has been doubling roughly every seven months. Sustaining that trajectory requires environments that grow in complexity at the same pace, which is exactly the problem Bespoke Labs was built to solve.

Bespoke Labs is behind the environments and tooling that sit underneath reliable agents. The company designs and builds environments that look and behave like real companies: large codebases, microservices, realistic logs, tickets, email, Slack, and more, so agents can learn long‑horizon workflows that are economically meaningful.

“Frontier labs, enterprises, and all organizations relying on reliable agents need access to high-quality environments,” said Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs. “This is the critical piece needed to optimize and develop agents. That’s why we are focused on doing research around environments, building the infrastructure around environments, and building the environments themselves.”

Also Read: HiddenLayer and Cohere Partner to Secure Enterprise Agentic AI 

Once the environments exist, Bespoke Labs helps organizations measure and improve agents using techniques like Genetic‑Pareto Agent Optimizer (GEPA), which automates prompt and policy search to reach higher accuracy faster than manual prompt engineering. Bespoke Labs’ customers use its infrastructure to train, evaluate, and optimize their agents. While other companies build simple, app-level environments using contractors, Bespoke Labs builds cutting-edge reinforcement learning environments using research techniques that the company develops in collaboration with the academic and open-source community.

“We work with labs on research programs spanning reinforcement learning, environment curation, benchmarking, and long‑horizon modeling so that environments keep pace with the frontier of agent capabilities,” said Alex Dimakis, co-founder and Chief Science Officer of Bespoke Labs. “I’m proud that we are a research lab pushing the frontier on environment infrastructure and curation.”

Bespoke Labs takes a research-first approach. The team is made up of research scientists and engineers, not the project managers and contractors that other companies rely on. Bespoke Labs is a core contributor to Terminal-Bench, one of the most widely cited benchmarks for agentic capability, and the team behind OpenThoughts, an open reasoning dataset that has been downloaded more than 500,000 times and used by groups including Thinking Machines Lab, Meta, and Amazon. That same research muscle powers the company’s environment work: novel curation pipelines, methods for generating environments synthetically, and techniques for snapshotting real-world infrastructure and recreating it as a training environment.

“As frontier labs and AI-native enterprises push the boundaries of long horizon agentic capabilities, a new generation of data and training infrastructure is required,” said Peter Wagner, Founding Partner of Wing Venture Capital. “Mahesh and Alex deeply understand the needs of leading AI researchers, and are building Bespoke Labs on a unique research-driven foundation to help advance and scale the state of the art.”

Source: BusinessWire

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The launch responds to a structural shift in software delivery. As AI coding assistants drive unprecedented volumes of code, enterprises face a widening gap between how fast code is produced and how reliably it is reviewed exposing them to security, compliance, and quality risk at scale. Quality Clouds Hub closes that gap with automated certification, quality gates, rule enforcement, and a complete audit trail of every scan, decision, and policy applied giving compliance and risk teams a defensible record of how AI-generated code was governed, and giving engineering teams the confidence of knowing exactly what is being shipped.

Also Read: iTmethods Joins AI Governance Foundations for Regulated AI

Hub is built on nearly a decade of governance data spanning more than 950 enterprise instances and 13 million catalogued issues — the foundation of governance already trusted by Fortune 500 organisations across financial services, manufacturing, and consumer goods.

“Production-ready AI isn’t about writing code faster — it’s about trusting what reaches production. And what ‘production-ready’ means is different for every organisation,” said Albert Franquesa, Co-founder & Board Member at Quality Clouds. “Hub lets each enterprise define those standards for themselves and enforce them automatically, so AI Code Governance becomes something teams control rather than something they react to.”

Source: GlobeNewswire

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Royal joins Disruptive from Oaktree Capital Management, where she spent close to two decades in senior finance leadership roles and helped oversee financial operations across one of the world’s leading alternative investment firms. She brings extensive experience across private markets, financial management, investor engagement, operational excellence and institutional platform development.

In her role, Royal will join Disruptive’s global leadership team, working closely with founder and CEO Alex Davis and senior leaders across investing, strategy, finance and operations. She will oversee the firm’s financial functions while helping support its growing global investor network and continued expansion.

Royal will work closely with Phillip Caputo, who is a Partner at the firm and will transition to the role of Managing Director, Finance. Caputo will continue to play a key leadership role across the firm’s finance function, working closely with Royal and the broader team as Disruptive enters its next phase of growth.

Also Read: Techstars and Emirates NBD Accelerate AI & FinTech in MENAT 

“We’ve been fortunate to attract exceptional talent to Disruptive, and Joy is another important addition to the team,” said Davis. “She brings deep experience from one of the world’s leading investment firms, strong judgment and a long-term perspective. As we continue to grow, those qualities matter enormously, and we’re excited to welcome her to the firm.”

Founded in 2012, Disruptive invests in a number of the world’s most important private technology companies, partnering with category-defining founders and management teams during critical periods of growth, liquidity and market evolution. The firm is rapidly expanding its investor base and is expected to soon reach approximately $10 billion in assets under advisement.[1]

The firm deploys large, concentrated capital into a select group of late- and growth-stage technology companies through primary, secondary and structured transactions. The firm’s portfolio spans sectors including artificial intelligence, defense technology, enterprise software and next-generation infrastructure.

“Disruptive has built a unique position within the technology ecosystem through the quality of its relationships, its investment discipline and its long-term approach,” said Royal. “The opportunity to work alongside Alex and such an accomplished leadership team was incredibly compelling, and I’m excited to help support the firm’s continued growth and future ambitions.”

Source: PRNewswire

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Proceeds will be used to expand U.S. operations, strengthen supply chain infrastructure, enhance customer support, and accelerate product innovation.

CurifyLabs’ Compounding System Solution (CSS) combines proprietary software, GMP-manufactured excipient bases, and advanced 3D printing technology to automate the preparation of personalized medications. With advanced quality control processes built in, the CSS produces tailored doses and dosage forms with greater precision and speed than the manual processes typically used in pharmacies today.

Pharmacies in 21 U.S. states and across Europe use CurifyLabs technology to compound and dispense thousands of doses every day. As the company continues to scale, it will invest in its supply chain to ensure its growing network of pharmacy partners has what it needs, when it needs it.

Also Read: Inocras and AimedBio Partner for Cancer Drug Discovery

“Personalized medicine is one of the most important frontiers in healthcare enabling better patient outcomes and is experiencing solid growth. We are enabling more pharmacies to deliver personalized medicine in a safer and more efficient way,” said Morten E. Iversen, partner at Sandwater. “CurifyLabs has built something rare technology that combines clinical rigor with the speed and precision that busy pharmacy teams depend on. We are excited to support their rapid growth in the U.S. and beyond.”

“We have backed more than 136 life sciences companies over nearly three decades, and what sets the best founders apart is their ability to combine scientific depth with real-world execution,” said Daniel Karsberg, partner at HealthCap. “The CurifyLabs team has done exactly that.”

“CurifyLabs is the kind of company we want to support innovative, globally ambitious, and built on deep scientific expertise,” said Joni Karsikas, Investment Director at Tesi. “Their growth in the U.S. is further proof that Finnish health technology can compete and win on the world stage.”

“This investment reflects the conviction our partners have in what we’re building,” said Charlotta Topelius, CEO and Founder, CurifyLabs. “We have set a high bar for clinical rigor, product quality, and customer support, and this funding gives us the resources to raise that bar further.”

The funding will support ongoing development of the CurifyLabs platform, including its most recent product, the PharmaPrinter Aurum, which compounds up to nine times faster than manual processes. CurifyLabs’ technology is ISO 13485 certified and designed in compliance with FDA 503A/503B standards for non-sterile compounding.

Source: PRNewswire

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The successful proof of concept was executed alongside Visa, IT systems integrator Arvato Systems, and contemporary fashion brand Kings and Priests. During the live transaction, a merchant’s AI agent autonomously initiated and completed a product purchase on behalf of a shopper. Crucially, the entire transaction occurred natively within the agentic environment without handing off to a separate external payment gateway. Supported by multiple European card issuers, the agentic payments were processed on live Visa rails, utilizing tokenized Visa credentials via Visa Intelligent Commerce. Consumer-defined guardrails, such as pre-approved categories and strict spending caps, governed the entire process to ensure security and compliance.

This technological milestone transitions agentic commerce from a conceptual discovery phase into a practical reality by unifying purchase discovery, authorization, and final settlement within a single first-party agent. Furthermore, it serves as an foundational proof point for “Nuvei Agentic” a protocol-agnostic execution layer designed to allow any artificial intelligence agent to initiate secure transactions.

Also Read: Infinite and Sardine Unveil Bidirectional Integration to Unify Compliance, Risk Management, and Digital Payments 

“Agentic commerce is the next evolution of digital commerce, with AI not just finding products but initiating purchases,” said Phil Fayer, Chair and CEO of Nuvei. “This proof of concept starts inside a merchant’s own experience and points to where payments are heading: a layer that lets any agent, on any protocol, make a payment.”

The strategic direction directly addresses real-world demand from enterprise merchants. During Nuvei’s Global Customer Advisory Board session, corporate partners identified the development of first-party agentic capabilities as an immediate business priority. Merchants also expressed a desire to scale these identical governance controls to public, third-party AI agents as the broader autonomous market matures.

Following the successful demonstration, Nuvei, Visa, and their participating issuing partners are actively collaborating to scale these capabilities toward full commercial production.

Assembling a Collaborative Agentic Payment Ecosystem

The successful execution of this proof of concept relied on a diverse network of technology, retail, and financial partners. Key contributors included Arvato Systems, Kings and Priests, and a consortium of prominent European issuing banks, including Alpha Bank, Piraeus Bank, Bank Leumi, CAL, MAX, and the Bank of Cyprus.

“Through Visa Agentic Ready, we are extending existing capabilities including tokenization and network-level controls to enable agent-initiated payments in a trusted and consistent way,” commented Mathieu Altwegg, Head of Product & Solutions, Visa Europe. “This proof of concept shows how those foundations can support new experiences today, with authentication continuing to evolve as the model scales.”

“This proof of concept shows how the payments ecosystem can enable AI-driven purchasing while preserving trust, control, and transparency,” said Carsten Bruning, Vice President Digital Commerce at Arvato Systems. “With Visa and Nuvei, we validated interoperability across the flow and proved that payment can complete inside the agent rather than on the merchant site.”

“For Kings and Priests, this was a firsthand look at how agentic commerce can open new channels for digital retail,” said Ralph Hürlemann, Founder of Kings and Priests. “An AI agent initiating a purchase on a consumer’s behalf can reshape how customers discover and buy online.”

Constructing the Execution Layer for the Future of Commerce

According to industry data from McKinsey, agentic commerce is projected to capture $1 trillion in global transaction volume by 2030, with projections climbing to between $3 trillion and $5 trillion by 2035. As the core transactional experience shifts directly into the AI agent, Nuvei’s latest milestone marks a critical initial step toward building out its Nuvei Agentic Payments framework, extending the company’s foundational “Every Payment, Everywhere” corporate strategy.

The architecture relies on two primary technical building blocks to create a unified interface:

• Protocol Compatibility Layer: This infrastructure allows merchants to integrate a single time and seamlessly accept payments across varying standards utilized by autonomous agents (including ACP, AP2, or MCP). These transactions are routed efficiently across global networks, with Nuvei intending to achieve certification against both Visa Intelligent Commerce and Mastercard Agent Pay.
• Know Your Agent (KYA): This framework introduces identity validation and governance to autonomous commerce. KYA registers and credentials AI agents, validates specific consumer mandates, evaluates agent reputation metrics, and maintains fully auditable transaction records.

Combined, these dual pillars provide merchants with a singular, streamlined interface accessible via Nuvei’s established platform and ISV integrations. This eliminates the need for businesses to re-engineer their core payment architecture to accommodate AI. Nuvei is targeting initial commercial availability for these capabilities encompassing protocol compatibility and agent identity frameworks in the second half of 2026.

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Combining Techstars’ global pipeline of over 11,000 founders with the bank’s advanced analytics infrastructure, which currently manages over 50 active AI use cases, will deliver scalable, commercial pathways for agentic FinTech startups focusing on compliance, wealth management, SME banking and capital markets.

This initiative underscores Emirates NBD’s commitment to the Dubai Economic Agenda (D33), which aims to rank Dubai among the top four global financial centres by 2033.

Also Read: LinqAlpha Raises $22M for Global Public Market Intelligence 

Miguel Rio Tinto, Group Chief Digital and Information Officer at Emirates NBD, commented: “With Dubai now home to nearly 60% of GCC FinTech companies, we are pleased to partner with Techstars to tap into and capture FinTech’s new wave of innovation in agentic finance. Leveraging Emirates NBD’s regional footprint and digital capabilities, we are providing selected AI and FinTech startups with a direct pathway into enterprise banking, supporting solutions that can transform how we serve our nine million active customers.”

Neeraj Makin, Group Head of Strategy, Analytics and Venture Capital at Emirates NBD, said: “The partnership with Techstars reflects Emirates NBD’s continued focus on strengthening its innovation ecosystem and deepening engagement with global technology and startup networks. By combining access to emerging founders, market intelligence, and new technology trends, we aim to accelerate innovation opportunities that support the Group’s long term strategic, digital and AI ambitions across the region.”

This unique partnership helps AI startups pilot secure and personalised banking solutions using Emirates NBD’s cloud-native infrastructure to drive real impact.

David Cohen, CEO of Techstars, stated: “Techstars has always been about helping founders go faster. By partnering with a proactive, AI-first institution like Emirates NBD, we are giving our FinTech and AI founders a front-row seat to one of the most dynamic financial markets in the world. The UAE’s commitment to becoming a global hub for intelligent, data-driven innovation makes it the perfect launchpad for enterprise-grade solutions that will redefine the future of finance.”

Source: PRNewswire

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