Day: April 30, 2026

Supports transcription across 120+ languages, enabling seamlessengagement in multilingual and high-variability environments Shunya Labs, recently announced the launch of its real-time voice AI platform for contact centres. Built as an end-to-end intelligence layer, the platform enables organisations to process live customer interactions, extract structured insights, and act on them in real time, improving efficiency, accuracy, and overall customer experience at scale. Designed for real-world customer conversations, the platform processes voice interactions as they happen. It converts conversations, messages, and attachments into structured data, extracting intent, issue type, account information, and key actions, which can be directly integrated into CRM and ITSM systems. This addresses a fundamental gap in customer operations, where large volumes of conversational data remain unstructured and underutilised, limiting visibility and slowing decision-making. By structuring and analysing this data in real time, organisations can respond faster, automate workflows, and derive meaningful insights from every interaction. “Customer conversations are one of the richest sources of enterprise data, yet most of it remains unstructured and unused. We built this platform to change that to make conversations immediately usable, so organisations can act on them in real time while improving outcomes for both customers and agents.” Ritu Mehrotra,Co-Founder and CEO of Shunya Labs said, The platform is built to operate across diverse and complex customer environments, supporting transcription in over 120 languages while handling accents, code-switching, and background noise. This enables contact centres to deliver consistent and high-quality engagement across regions and linguistic contexts where traditional systems often struggle. In live interactions, the platform provides real-time support to agents through transcription, contextual knowledge prompts, and suggested responses. It also automates routine workflows by detecting customer intent and resolving common queries, while ensuring that more complex cases are intelligently routed to the appropriate teams, improving both efficiency and resolution quality. In addition to real-time capabilities, the platform delivers post-interaction intelligence through automated summaries, sentiment analysis, and trend identification. These insights help improve agent performance, strengthen quality assurance, and provide a clearer, system-wide understanding of customer needs and operational bottlenecks. Built with enterprise requirements in mind, the platform supports secure deployment across private cloud and on-premise environments, ensuring full control over data and infrastructure. It includes compliance-focused features such as automated quality checks, policy adherence monitoring, redaction of sensitive information, and audit-ready logs, making it suitable for regulated industries and high-trust environments. With this launch, Shunya Labs expands its focus on applied voice AI systems, building infrastructure for environments where language complexity, real-time decision-making, and data control are critical to customer engagement and operational performance. Read More

In the modern security landscape, AI is no longer a futuristic luxury. It is the cornerstone of safety. From detecting potential hazards in real-time to optimizing traffic flow, AI has empowered organizations to see what the human eye might miss. However, as AI’s capabilities expand, so does a critical question for users, “Can we trust the intelligence behind the lens?” At Hanwha Vision, we believe that innovation without accountability is a liability. This is why we are proud to announce that we have achieved ISO/ IEC 42001 certification, the world’s first international standard for a certifiable Artificial Intelligence Management System (AIMS). But for us, this isn’t just about hanging a new certificate on the wall. It is a formal promise to our partners and customers that our entire process for developing and deploying AI is governed by a ‘human-centric’ philosophy. The shift from optional to obligatory The global community is moving fast to ensure AI remains a force for good. With the enforcement of the EU AI Act, the world’s first comprehensive AI law, and similar legislative movements in the US and Asia, the regulatory gray area is disappearing. These regulations are not just bureaucratic hurdles. They are a response to genuine concerns regarding data privacy, algorithmic bias, and the potential for surveillance overreach. For an end-user, choosing a provider that aligns with these global standards is no longer just a matter of ethics. It is a matter of long-term operational security. By adhering to ISO/ IEC 42001, Hanwha Vision proactively meets these stringent requirements, ensuring our customers are protected from the legal and ethical risks of non-compliant AI. Our core AI principles To maintain this high standard of excellence, we have institutionalized the Responsible AI (RAI) Council. This dedicated decision-making body sets internal compliance standards, conducts pre-release risk assessments, and monitors ongoing AI performance. By doing so, they ensure every innovation is rooted in our core Ethical AI Principles. Bringing principles to life How do these principles translate into the technology inside a security system? At Hanwha Vision, our AI management framework serves as the strict technical requirements that guide how our AI is built and deployed. Read More