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The Tech Panda takes a look at recent launches in the superfast field of Artificial Intelligence (AI).
Axis Finance Limited (AFL), an Indian non-banking financial companies (NBFCs), rolled out a fully AI-led quality monitoring framework for its collection calls, aimed at elevating customer protection, strengthening compliance, and reinforcing fair, transparent and responsible communication during repayment interactions.
Sai Giridhar, Managing Director & CEO, Axis Finance Limited said, “At Axis Finance, we remain committed to strengthening customer trust through responsible and transparent practices. The introduction of our AI-led monitoring framework reinforces this commitment by ensuring every interaction is conducted with fairness, clarity and respect. Technology continues to play an important role in deepening governance across our processes, and this initiative further supports our focus on building customer-centric, compliant and well?supervised operations.”
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BeAble Health, a healthtech company developing AI-enabled, game-based rehabilitation technologies, has signed a tripartite agreement with Jeevaniyam Research Center, and Centre for Healthcare Entrepreneurship (CfHE)–IIT Hyderabad to develop, clinically validate, and scale affordable AI-led rehabilitation for children with neuro-developmental and neuro-muscular conditions such as Cerebral Palsy (CP), Autism Spectrum Disorder (ASD), and ADHD.
Professor Renu John, IIT-Hyderabad, said, “Our focus has always been on helping innovations move from the lab to real-world impact. Through this collaboration, BeAble Health and Jeevaniyam will access our prototyping infrastructure, receive mentorship on regulatory pathways, IP strategy, and business planning, and gain help connecting the initiative with investors, industry partners, and the broader healthcare ecosystem. We aim to help accelerate the development and scale-up of technology-led rehabilitation solutions that can improve access to care for children with neurological and developmental conditions.”
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With the Digital Personal Data Protection (DPDP) Act now in force, Management Committees are formally recognised as Data Fiduciaries, as they collect resident data and determine the purpose for which it is used. In this role, committees are legally responsible for ensuring that personal data is used only for the purpose for which it was collected, unless residents explicitly consent to additional use. To help housing societies align quickly with this new framework, ADDA.io has introduced an industry-first Consent Manager within its platform, enabling communities to clearly separate official communication from optional promotional communication while giving residents control over their consent preferences.
Krishanu Mukherjee, AVP-Growth of ADDA.io said, “Apartment Management Committees already have many battles to fight. With ADDA.io’s Consent Manager, which is deeply embedded into the platform architecture, they get peace of mind on DPDP compliance and have one less battle to worry about. Since the penalty for non-compliance under the DPDP Act can go up to INR250 crore, we wanted to ensure that communities using ADDA are ready and compliant as early as possible.”
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Josh Talks, a company building large-scale speech datasets and evaluation infrastructure for AI, announced the development of the world’s first full-duplex conversational AI model in Hindi, an AI system capable of listening and speaking at the same time, enabling voice interactions that more closely resemble natural human conversation.
Shobhit Banga, Co-Founder, Josh Talks, said, “Voice AI has learned to recognise speech and generate speech. What it has not yet learned well is how to participate in conversation. This research shows that when models are trained on large-scale natural dialogue, they can begin to learn the rhythm of how people actually speak to each other. By building this infrastructure using Hindi conversations, we have demonstrated that full-duplex conversational systems can be developed beyond English. The mission of Josh Talks AI is to make machines talk like humans. The 26,000-hour conversational dataset used for this work represents the first milestone in a broader effort to build a one-million-hour corpus of natural conversations, one of the largest datasets ever created for conversational voice AI.”
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Luma launched Luma Agents, a new class of AI collaborators capable of executing end-to-end creative work across text, image, video, and audio. Designed for agencies, marketing teams, studios, and enterprise organizations who aspire to scale creative output without sacrificing quality, Luma Agents maintain full context from initial brief to final delivery – coordinating tools, models, and iterations within one unified system.
“Creative work has never lacked ambition, it’s lacked execution capacity,” said Amit Jain, Co-Founder and CEO of Luma. “Creative teams shouldn’t have to spend their time orchestrating tools. They should spend it creating. Agents aren’t shortcuts. They’re collaborators that maintain context, coordinate execution, and advance projects so teams can focus on taste, direction, and strategy.”
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