BinBase enhances its 2026 dataset with Apple/Google Pay token range identification, Direct Debit attributes, and default ISO currency codes to optimize recurring billing and reduce SaaS churn.

MIAMI, July 26, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment intelligence and card issuing data, has announced the rollout of specialized subscription and digital wallet attributes within its updated 2026 BIN Database. Engineered for SaaS platforms, recurring billing engines, and cross-border digital merchants, the new dataset addresses silent transaction declines and involuntary churn in recurring revenue models.

As consumer payment preferences shift heavily toward mobile wallets like Apple Pay and Google Pay, payment gateways frequently encounter Tokenized Device Account Numbers (DPANs) rather than traditional primary account numbers (PANs). Without updated token-range BIN mapping, recurring billing engines fail to recognize underlying issuer capabilities, leading to unexpected declines during subscription renewals.

The 2026 BinBase release resolves these recurring billing challenges through specific data attributes:

Tokenized Range Identification: Dedicated indicators for Apple Pay, Google Pay, and Network Tokens, allowing subscription engines to maintain seamless recurring billing authorization paths.Direct Debit & Pull-Funds Support (Pull Dom): Indicators for recurring debit eligibility, helping subscription platforms optimize automated bank-direct collections.Default ISO Currency Mapping: Precise issuing country currency codes to eliminate friction during Dynamic Currency Conversion (DCC) and prevent cross-border fee surprises for subscribers.Card Tier & Category Precision: Granular identification of premium, rewards, and corporate card ranges to help merchants customize retry logic and billing schedules based on cardholder profiles.

“Involuntary churn is the silent killer of subscription businesses,” said a spokesperson for Damiko Inc. “When a recurring billing charge fails due to misidentified token ranges or currency conversion errors, merchants lose lifetime value. Our 2026 update provides software engineers with the data precision required to maximize subscription authorization rates and protect recurring revenue.”

Software architects and billing platform developers can evaluate the complete 29-field schema and download a free 2026 sample dataset on GitHub.

To learn more about full commercial licensing options, API access, and bulk CSV database downloads, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com

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SOURCE BinBase

MANILA, Philippines, July 27, 2026 /PRNewswire/ — Ookla’s comprehensive controlled network test reveals that traditional mobile operator networks deliver a measurably superior voice experience compared to Over-the-Top (OTT) applications like WhatsApp, particularly in critical areas such as audio fidelity, weak signal resilience, and call reliability.

The study, which evaluated the networks of the Philippines’ three major mobile operators—Smart Communications, Globe Telecom, and DITO Telecommunity, demonstrates that carrier-managed VoLTE infrastructure remains the gold standard for consistent, high-quality communication, outperforming OTT voice services.

Operator Voice Deliver Consistent HD Audio, OTT Apps Only Offer Fair Quality

The research found a distinct quality gap in audio performance. While operator voice calls consistently delivered HD-grade audio quality—rated “Good”(scoring > 4.0) to “Excellent” (scoring > 4.3) across all three networks, OTT voice calls were rated only as “Fair” (scoring < 4.0). Smart and DITO achieved higher MOS scores than Globe by deploying the advanced EVS codec, which offers superior audio fidelity over Globe’s AMR-WB.

Conversely, this gap exists because OTT apps treat voice as generic data packets, vulnerable to the internet’s “best-effort” delivery. Even with operator network optimizations, OTT voice lacks the stringent Quality of Connection (QoC) guarantees. Under network stress—such as congestion, weak coverage, high packet loss, or significant jitter—OTT audio degrades noticeably. In contrast, VoLTE leverages exclusive high-priority cellular bearers to safeguard voice quality.

Operator Voice Sustains HD Quality in Weak Coverage While OTT Calls Degrade

The performance gap widens significantly at the cell edge, where signal strength is low. Under moderate-to-low RF coverage conditions (RSRP ≤ -100 dBm), operator-managed VoLTE calls maintained HD-grade clarity.

Conversely, OTT calls degraded further, slipping from “Fair” into the “Poor” (scoring < 3.6) and “Bad” (scoring < 3) ranges. This is a critical finding for consumers in areas with obstructed signals or far from cell sites, proving that dedicated voice bearers protect call quality where best-effort data (used by OTT) cannot.

VoLTE Delivers More Reliable Call Connections Than OTT

Reliability is another key differentiator. The study shows that VoLTE has significantly lower block rates (call setup failure rates) than OTT services. For instance, Globe recorded the lowest VoLTE block rate at 0.47%, versus its OTT rate of 1.64%. This trend was consistent across operators, highlighting that the dedicated signaling protocols of VoLTE (like optimized SIP and SRVCC) provide a more robust connection experience than OTT’s best-effort data model.

The Path Forward: Building a Solid VoLTE Foundation for AI-Driven Voice

As Philippine NTC mandates the 3G sunset by December 2026, the industry must prioritize comprehensive VoLTE coverage and user migration. Looking ahead, the convergence of voice and AI stands as the industry’s definitive future trend. However, a high- performance VoLTE network is the vital prerequisite for this shift. Operators should continuously refine their VoLTE infrastructure, laying a solid foundation to seamlessly integrate voice with AI and unlock the next generation of intelligent calling experiences.

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SOURCE Ookla

JOHANNESBURG, July 27, 2026 /PRNewswire/ — At the Huawei Network Summit 2026 (HNS 2026) in Johannesburg, Huawei unveiled its all-new Xinghe AI CloudCampus SaaS Service Platform for South Africa. Through this platform, South Africa—the economic engine and digital hub of the African continent—will significantly lower the barrier to AI adoption, helping local enterprises bridge the digital divide and driving forward regional intelligent transformation.

Four Key Platform Capabilities Driving Cloud-Managed Network Upgrades for South African Government Agencies and Enterprises

The newly launched Xinghe AI CloudCampus SaaS Service Platform focuses on four core capabilities: flexibility, agility, intelligence, and scalability. Together, these capabilities deliver a centralized, secure, and reliable cloud-managed network infrastructure for South African government agencies and enterprises.

Key highlights of this platform include:

Flexible business models: The platform offers a pure SaaS subscription model, enabling customers to use it with zero CAPEX and pay-as-you-grow flexibility, dramatically lowering upfront investment. Backed by Huawei’s local service team, the platform guarantees data privacy and regulatory compliance while supporting automated periodic updates, ensuring enterprises always stay at the forefront of technology.Agile deployment: Powered by SD-Branch technology, the platform supports bulk branch network configuration and plug-and-play device deployment. Whether opening new stores, branch offices, or temporary sites, enterprises can rapidly roll out networks, boosting business responsiveness by over 80%.AI-powered O&M: Through an embedded AI-assisted O&M copilot, the platform automatically identifies and resolves 80% of common network issues, freeing O&M personnel from tedious routine inspections. This slashes the Mean Time to Repair (MTTR) by 70% and cuts O&M costs by 50%.Future-ready scalability: The platform deeply converges Wi-Fi, LAN, WAN, and security capabilities across all scenarios, supporting elastic expansion to accommodate enterprise growth from single sites to global footprints. It also delivers end-to-end industry solutions tailored to sectors like retail and education. These include foot-traffic analytics and smart marketing networks for retail stores, alongside highly reliable online teaching networks for educational institutions, truly bringing to life the vision of “One Platform, All Scenarios, Intelligent Future.”

Looking Ahead: Making AI-Powered Networks Ubiquitous

“In the past, intelligent O&M was a luxury exclusive to large enterprises. Now, we have deeply integrated AI into the cloud management service platform, enabling SMEs to easily access these capabilities as a cloud service. This is more than tech inclusion; it is about making AI network services genuinely accessible, affordable, and actionable,” said Shi Lei, Vice President of the NCE Data Communication Domain, Huawei’s Data Communication Product Line. “Looking ahead, we will continue investing in local operations and working hand-in-hand with South African customers and partners to make intelligent networks the solid foundation of South Africa’s digital economy. Together, we will drive a more inclusive and sustainable digital future.”

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