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JCL Credit Leasing Strengthens Digital Innovation with AI Rudder’s AI Voice Agents, Advancing Malaysia’s Consumer Finance Industry

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Following a successful pilot phase, the commercial rollout introduces real-time AI Voice Agents for customer verification and debt collection across JCL’s extensive dealer network, supported by channel partner JurisTech.

KUALA LUMPUR, Malaysia, June 29, 2026 /PRNewswire/ — JCL Credit Leasing Sdn Bhd (JCL), a regulated consumer finance company in Malaysia, and AI Rudder, a conversational AI provider for the financial services industry, today announced a commercial agreement to deploy AI Voice Agents across JCL’s consumer finance operations in Malaysia.

The partnership deploys AI Rudder’s AI Voice Agent across two critical operational use cases: customer verification during the financing origination process and proactive debt collection. Powered by Voyager, AI Rudder’s proprietary large language model (LLM) specifically designed for the financial services industry, the solution is capable of handling complex, unstructured data and performing real-time reasoning with high accuracy and contextual understanding. By combining advanced conversational AI with industry-specific intelligence, the AI Voice Agent brings a new level of automation, efficiency, and operational scalability to JCL’s consumer finance operations.

The commercial rollout follows a highly successful pilot phase in which AI Rudder’s technology delivered proven, measurable results in managing customer interactions at scale, giving JCL the confidence to commit to a full commercial deployment.

As a growing consumer finance company offering personal financing and product financing through an extensive network of motorbike and electronics dealers, JCL processes a high volume of financing applications that require fast, accurate customer verification before approval. To address this, JCL deployed AI Rudder’s AI Voice Agents, powered by large language model (LLM) technology, which can understand nuanced conversational context, handle unstructured inputs from dealer-referred applicants, and execute real-time decisioning, significantly reducing verification turnaround times without compromising accuracy.

“We are thrilled to partner with JCL to bring production-ready, advanced AI to the Malaysian consumer finance market,” said Roshan Gill, Country Manager for Malaysia at AI Rudder. “In the coming decade, every financial institution will have an AI workforce operating alongside its human workforce. The leaders of tomorrow will be those that successfully blend human judgment with AI-driven execution. This deployment represents another step toward that future, where intelligent agents become a natural extension of how financial services are delivered.” Roshan added.

The growing adoption of AI Rudder’s technology among Malaysia’s leading financial institutions reflects a clear market trend: conversational AI is rapidly becoming a strategic capability rather than a future consideration. As AI continues to mature, financial institutions are moving beyond experimentation and deploying AI solutions in business-critical functions where measurable operational and customer experience outcomes can be achieved at scale.

The integration of AI Rudder’s AI Voice Agents into JCL’s operational ecosystem is supported by JurisTech, a leading Malaysian fintech company specializing in enterprise-class credit management and lending software. JurisTech’s robust platform infrastructure serves as the crucial link, enabling seamless data flow between the AI Voice Agents and JCL’s core systems.

“Digital innovation is a key part of JCL’s growth strategy as we continue to enhance the way we serve our customers and business partners. The successful pilot with AI Rudder demonstrated how AI can improve operational efficiency, accelerate customer verification, and support better engagement at scale.

As we expand our presence across Malaysia, adopting intelligent technologies such as AI Voice Agents enables us to build a more agile, customer-centric organisation while maintaining the high standards of service and compliance that our customers expect. This partnership with AI Rudder, together with JurisTech’s strong technology ecosystem, represents an important step in our ongoing digital transformation journey and our commitment to delivering smarter financial solutions for the future.” – Yutaka Tanimoto, Director of JCL Credit Leasing Sdn. Bhd.

The deployment marks a significant step in JCL’s broader push to modernize its operations as it continues to scale across Malaysia, while further solidifying AI Rudder’s presence in the Malaysian banking, financial services, and insurance (BFSI) market. Together, the partnership reflects a growing appetite among Malaysian consumer finance companies to adopt AI-driven automation in workflows where speed and accuracy directly affect business outcomes.

About AI Rudder

AI Rudder combines technology with the power of voice communication to build strong relationships between companies and their customers. By using AI-based automation to enhance customer experience, AI Rudder has helped over 100 companies improve the scale, speed, and quality of their customer interactions. Headquartered in Singapore, AI Rudder also has offices and operates in China, Indonesia, Malaysia, the Philippines, Mexico, and Brazil. For more information, visit www.airudder.com

About JCL Credit Leasing Sdn Bhd

JCL Credit Leasing Sdn. Bhd. (JCL) is a long-established Malaysian financial services company providing hire-purchase, credit sale, personal financing and Shariah-compliant credit solutions. Guided by a commitment to transparency, professionalism and customer-first service, JCL supports individuals and businesses in accessing essential capital to improve their livelihoods and pursue growth. With a focus on responsible financing, continuous learning and long-term value creation, JCL aims to foster economic participation and contribute positively to the communities it serves. Learn more at https://jcl.my/.

About JurisTech

JurisTech is a leading Malaysian fintech company specializing in enterprise-class software solutions for banks, financial institutions, and telecommunications companies. Their 360 AI Lending Technology covers digital onboarding, loan origination, credit decisioning, and debt collection, powering economies with fast, proven, and secure solutions. For more information, visit juristech.net.

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SOURCE AI Rudder

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Ally Waste Acquires Swift Integrated Services, Expanding Service Capabilities and Market Reach

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GILBERT, Ariz., Sept. 3, 2026 /PRNewswire/ — Ally Waste, a nationwide provider of comprehensive waste solutions for multifamily communities, announced today that it has acquired Swift Integrated Services, a Utah-based provider of dumpster management, doorstep trash pickup, and waste brokerage services.

“Every acquisition we make starts with the same question: Will it help us serve customers better? Swift expands our reach and brings capabilities that allow us to support more of our customers’ waste needs. We’re excited to welcome the Swift team to Ally and build on what they’ve created,” said James Crawley, CEO of Ally Waste.

The acquisition expands Ally Waste’s presence in Utah, Florida, and Idaho markets while strengthening the company’s waste stream optimization capabilities. It also brings waste brokerage capabilities to Ally, giving current customers another way to address their waste needs as the offering is integrated.

“Joining Ally gives us the opportunity to build on what we’ve created while bringing our customers the support and resources of a nationwide team,” said Indigo Schumann-Curtis, President of Swift Integrated Services. “Our customers can expect business as usual, with many of the same people continuing to support them. I’m excited about what our teams can accomplish together.”

Swift Integrated Services customers can expect continuity in both service and support throughout the transition. The Swift team will continue with Ally, bringing established customer relationships and deep market knowledge to the combined organization.

About Ally Waste

Ally Waste is a nationwide provider of comprehensive waste solutions for multifamily communities, including valet trash and recycling, bulk removal, and waste stream optimization services. Its technology gives owners and operators clear visibility into what they’re paying for waste across a portfolio, paired with on-the-ground teams who put those insights into action.

The company’s culture is grounded in its values of Integrity, Grit, and Humility. These principles drive Ally Waste’s commitment to supporting multifamily teams and delivering consistent, high-quality service that improves everyday life for residents and on-site staff. Learn more at www.allywaste.com.

Media Contact:
Doridé Uvaldo
duvaldo@allywaste.com

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SOURCE Ally Waste

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Gupshup Launches Self-Serve Voice AI Platform, Extending Conversational Engagement into Phone Calls

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Businesses can now build, test, and deploy AI voice agents across support, sales, and operations – alongside WhatsApp, RCS, and SMS – from a single platform

MUMBAI, India and SAN FRANCISCO, Sept. 3, 2026 /PRNewswire/ — Gupshup launched its Voice AI Platform, a self-serve console for building and running AI voice agents that handle calls end to end. The launch extends Gupshup’s engagement platform from messaging into voice, bringing support, sales, and operations onto the same infrastructure businesses use for WhatsApp, RCS, and SMS.

Gupshup’s Voice AI Platform resolves support calls, qualifies and converts leads, and automates operational calls such as scheduling, verification, and payment reminders, so human teams can focus on conversations that require a person.

The platform covers agent lifecycle in a no-code, prompt-based interface. Businesses configure an agent’s voice, language, knowledge base, system prompt, and workflows, then connect it to tools their teams use. Before going live, teams define guardrails, run simulations, and validate behaviour with tests – comparing models. Once deployed, analytics track success rates, satisfaction, and language usage, with transcripts, conversation history, and debug logs for review.

Gupshup’s platform is the first to bring unique capabilities. First, voice is a channel extension of a platform serving businesses across WhatsApp, RCS, and SMS – enabling voice-and-messaging experiences within a customer journey. Second, it supports telephony: PSTN and WhatsApp voice channels, on-premise and cloud deployment, and the option to bring PSTN infrastructure. Third, it is model-flexible – businesses choose speech-to-text, text-to-speech, and LLM providers rather than accepting a stack.

The platform builds on Gupshup’s experience powering customer engagement for 50,000+ businesses across 100+ countries and 25+ industries, processing 10 billion interactions monthly, including 500 million voice calls per month.

The Voice AI Platform has been beta tested and delivered outcomes across deployments. Users receive 100 minutes of credits to test, and pricing starts at USD 0.035 (INR 3.50) per minute.

“For customer engagement in emerging markets, Voice AI drives universal access – reaching every user regardless of language or literacy. In developed markets, it drives efficiency and automation. In both, it delivers cost savings, revenue growth, and satisfaction. With the launch of its Voice AI Platform alongside its messaging, Gupshup offers the only unified self-serve platform for customer engagement across voice and messaging,” said Beerud Sheth, Co-founder and CEO, Gupshup.

The Voice AI Platform is available to businesses at voiceai.gupshup.io.

For more information, visit www.gupshup.ai.

 

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SOURCE Gupshup Technology India Pvt Ltd

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Deepdub Launches Phantom Z 3.4 Conversational: Multilingual Text-to-Speech Built to Survive Real Customers, Not Just Demos

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Enterprise-grade real-time text-to-speech delivers 150ms time to first audio at full 48 kHz, with text normalization that gets account numbers, invoice totals and appointment dates right

TEL AVIV, Israel, Sept. 3, 2026 /PRNewswire/ — Deepdub, a foundational voice AI company pioneering expressive voice technologies, announced today the launch of Phantom Z 3.4 Conversational, a new multilingual text-to-speech model with high-fidelity 48 kHz audio, improved text normalization and extended Hebrew support. The model is available to all Deepdub clients now.

For enterprises running voice agents, a call holds together when four things go right at once. The voice sounds like a person. The response arrives fast enough to feel like a conversation. The agent knows when to speak and when to listen. And every account number, date and amount comes out the way a customer would say it. When one of them slips, the call escalates to a human, and that is where containment and cost are decided. Phantom Z 3.4 Conversational is built for all four.

“Every voice model sounds impressive for two minutes in a demo. Very few survive two weeks with real customers,” said Ofir Krakowski, CEO and co-founder of Deepdub. “Deployments don’t stall on the 95% a model gets right, they stall on the misread account number, the mangled surname, the one wrong digit on a live call. We built this model for that last few percent, because in production, the last few percent is the whole product.”

In English, the work is in text normalization, the step that turns written text into spoken words. A delivery date written 2024-12-31 is read as December thirty first, twenty twenty-four rather than as a run of digits. An invoice total written $1,240 is read as one thousand two hundred forty dollars. An appointment at 14:30 is read as two thirty. A reference written Chapter VII is read as chapter seven rather than as letters. These are the categories where Deepdub’s testing puts the model ahead of the other systems it was measured against. An enterprise running more than one language gets one set of behavior to test and one contract to hold rather than two.

Phantom Z 3.4 delivers an end-to-end p95 time-to-first-audio of 150 milliseconds in real-time mode at full-range 48 kHz audio, with cross-language voice transfer from under three seconds of reference audio. Deepdub builds and trains its own speech models from random rather than licensing them, which allows the company to bring a new language into production in two weeks. Deepdub covers more than fifty locales and dialects verified by local voice and language experts, inside a platform supporting more than 50 locales and dialects.

“We run Deepdub in production for live, real-time phone calls, where latency and naturalness aren’t nice-to-haves but the key factor in whether a caller stays on the line. 3.4 is the closest we’ve heard a synthetic voice come to a real person, and our callers show it: they stay longer, talk more, and engage with our agents like we’ve never seen before,” said Adir Haziza, CTO at Voiceman.

The hardest case is Hebrew, which is written without vowels, so the same letters can spell different words. The three letters of שלט are a sign read one way and a remote control read another. A model that reads one word at a time has to guess which the sentence means, and in Hebrew a wrong guess is not an accent, it is a different word that stays invisible until a customer hears it. Phantom Z 3.4 resolves this at the source. Pronunciation is decided from the whole sentence rather than word by word, and every instance of שלט in Deepdub’s Hebrew test set was read correctly. Where a brand name or a plan tier has to be said a particular way, marking it in the text is enough. Deepdub ranks first for Hebrew text-to-speech on the public TTS Arena leaderboard hosted by ivrit.ai on Hugging Face.

In Hebrew, national ID numbers, appointment dates and transaction amounts are expanded before speech, so a balance written as 1,240 ₪ is spoken in full rather than read out as digits. In blind listening tests, Phantom Z 3.4 was preferred over Deepdub’s previous Hebrew model in 71 percent of decisive comparisons.

“We needed something that would hold up consistently across a large volume of work, so we tested it thoroughly before deciding. What stood out was that the details came out right and the Hebrew was the most natural we’d heard,” said Dor Levy, Head of Jeen Talk at Jeen AI.

About Deepdub
Deepdub is the foundational voice AI model company pioneering expressive voice technologies for global enterprises across TV, film, advertising, gaming, e-learning, and AI-agent applications. The company’s international team of technology, dubbing, and linguistic experts deliver an end-to-end voice solution that preserves the emotional and cultural integrity of original content in more than 50 locales and dialects. With an advisory board that includes media leaders such as Kevin Reilly, former Chief Content Officer at HBO Max, and Emiliano Calemzuk, former President of Fox Television Studios, Deepdub is eliminating language barriers to enable the global diffusion of media on major streaming platforms like Netflix, Amazon Prime, and Hulu. Visit https://deepdub.ai or follow us on LinkedIn for more information.

Deepdub Media Contact
Zivit Katz
Deepdub
zivit.katz@deepdub.ai

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SOURCE Deepdub

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