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Incode Technologies Named a Leader in the 2024 Gartner® Magic Quadrant™ for Identity Verification

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Incode Technologies has been recognized as a Leader, earning the top position for Completeness of Vision

SAN FRANCISCO, Oct. 24, 2024 /PRNewswire/ — Incode, a top provider of world-class identity verification and authentication solutions for global enterprises, today announced it has been named a Leader in the 2024 Gartner Magic Quadrant for Identity Verification, recognized among 11 evaluated vendors. We believe this recognition highlights Incode’s technological capabilities, particularly in fraud detection and innovation, which are increasingly critical as threats like deepfakes continue to rise.

Ricardo Amper, CEO and Founder of Incode, said: “We’re incredibly honored to be named a Leader in the Gartner Magic Quadrant. We feel this recognition reflects our technological capabilities and our strong partnerships with clients.  As the threat landscape evolves, especially with the rise of deepfakes, our proprietary technology ensures our clients are always prepared to meet these challenges head-on, delivering the highest levels of accuracy”. 

Driving Client Success Through Ease of Use and Innovation

With tools like Workflows no-code orchestration, we focus on enabling rapid deployment of customized identity verification processes. This allows clients to quickly integrate Incode’s solutions into their operations, enhancing both flexibility and efficiency.

Incode’s approach goes beyond technology, focusing on true partnership. Incode’s client success team works closely with each customer to fine-tune the platform, ensuring that rules, configurations, and setups align with the unique needs of every industry, flow, and use case. This hands-on approach, combined with SLAs tied directly to performance outcomes, ensures maximum value and success for each client. 

A Relentless Focus on Innovation

Incode’s platform is built entirely in-house. This foundation allows Incode to maintain complete control over every aspect of its fraud lab, from liveness detection and document verification to facial recognition, OCR, and injection protection, with over 200 checks embedded into its solution. With a focus on new attack vectors—especially those driven by generative AI—Incode continues to push innovation. The company’s age-estimation tool, praised by the U.S. National Institute of Standards and Technology (NIST), not only improves accuracy by catching fake IDs, but also addresses new use cases for protecting vulnerable populations.

Additionally, the company has responded to a rising number of fraud attempts during critical workforce interactions such as MFA enrollment, password resets, and help desk verifications. This led to the development of the Workforce product, built to secure these high-risk interactions and designed to work seamlessly with Identity and Access Management (IAM) partners. 

Key Features of Incode’s IDV Solution:

Ease of Use: Incode’s Workflows no-code orchestration tool allows businesses to easily configure and deploy custom identity verification processes, driving immediate value.

Client-Centric Partnerships: Incode works closely with its clients, pushing for maximum performance and value through close collaboration and tailored solutions.

Continuous Innovation: Incode consistently enhances core features, such as deepfake detection and fraud prevention, while introducing new technologies like its NIST-acclaimed age-estimation tool. A unique feature is Incode’s biometric connections with government sources, particularly in the U.S. 

Commitment to Performance:  Incode’s pricing model aligns incentives with client success, linking SLAs to key performance metrics such as fraud reduction and user conversion, ensuring clients are set up for long-term success. 

Looking to the Future: Continued Innovation and Expansion

Incode’s roadmap is full of enhancements designed to further empower businesses with industry-leading identity verification technologies. Upcoming developments include advanced injection attack detection, workforce-specific IDV features, and more robust fraud detection mechanisms, all designed to stay ahead of the evolving identity landscape.

“We remain committed to pushing the boundaries of what’s possible in identity verification,” Amper added. “Our focus on five key pillars drives the highest value for our clients: proprietary technology giving us end-to-end control over fraud vectors, identity network that’s integrated with biometric government sources for unmatched accuracy, deep enterprise partnerships, advanced orchestration capabilities, and a world-class team. We will continue building on this foundation to create even more value for our customers.” 

Gartner Disclaimer:
Gartner, Magic Quadrant for Identity Verification, Akif Khan, James Hoover, Nayara Sangiorgio, 21 October 2024. 

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, MAGIC QUADRANT and PEER INSIGHTS are registered trademarks of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

A complimentary copy of the report is available here.

About Incode  

Incode is the next-generation platform for identity verification and authentication that is reinventing how humans verify their identity and interact with the world’s largest businesses with a highly secure and pleasant AI-based experience. Incode’s fully automated end-to-end platform enables seamless access across multiple channels with products focused on onboarding, authentication, and payment verification that increase conversion and reduce fraud. With its mission to generate trust and democratize access, Incode works with a number of the world’s largest banks, fintech’s, hotels, governments, and markets. Incode is headquartered in San Francisco and has offices in Europe and Latin America. To learn more about Incode, visit www.incode.com.   

View original content:https://www.prnewswire.com/news-releases/incode-technologies-named-a-leader-in-the-2024-gartner-magic-quadrant-for-identity-verification-302286394.html

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, 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 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

SOURCE BinBase

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

View original content:https://www.prnewswire.com/news-releases/walnut-codings-young-coders-serve-as-instructors-at-huawei-cloud-developer-training-camp-302833884.html

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

View original content to download multimedia:https://www.prnewswire.com/news-releases/moreh-showcases-high-performance-llm-inference-on-amd-gpus-at-amd-advancing-ai-2026-302833887.html

SOURCE Moreh

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