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IBM Accelerates Enterprise Gen AI Revolution with Hybrid Capabilities

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1 year ago

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Build AI agents in 5 minutes with industry’s most comprehensive set of agent capabilitiesDrive 176% ROI over three years by automating integration across hybrid cloud Turn enterprise data into the most powerful tool with new watsonx.data, which can lead to 40% more accurate AI agentsAccelerate secured, scalable AI with 450 billion inference operations per day on new LinuxONE 5

ARMONK, N.Y., May 6, 2025 /PRNewswire/ — Today at the company’s annual THINK event, IBM (NYSE: IBM) is unveiling new hybrid technologies that break down the longstanding barriers to scaling enterprise AI – enabling businesses to build and deploy AI agents with their own enterprise data.

IBM estimates that over one billion apps will emerge by 2028, putting pressure on businesses to scale across increasingly fragmented environments. This requires seamless integration, orchestration and data readiness.

A new IBM CEO study shows that business leaders expect the growth rate of AI investments to more than double over the next two years, with most actively adopting AI agents and preparing to scale them. Yet their pace of investments has led to disconnected technology – and only 25% of AI initiatives have achieved the ROI they expected.  

IBM is combining hybrid technologies, agent capabilities and deep industry expertise from IBM Consulting to help businesses operationalize AI.  

“The era of AI experimentation is over. Today’s competitive advantage comes from purpose-built AI integration that drives measurable business outcomes,” said Arvind Krishna, Chairman and CEO, IBM. “IBM is equipping enterprises with hybrid technologies that cut through complexity and accelerate production-ready AI implementations.”

Build AI agents in watsonx Orchestrate that work with 80+ leading business applications

AI agents are shifting from AI that chats with you to systems that work for you, yet many enterprises will struggle to integrate them across diverse environments, apps, and data. IBM is providing a comprehensive suite of enterprise-ready agent capabilities in watsonx Orchestrate to help businesses put them into action. The portfolio includes:

Build-your-own-agent in under five minutes, with tooling that makes it easier to integrate, customize and deploy agents built on any framework – from no-code to pro-code tools for any kind of user.1Pre-built domain agents specialized in areas like HR, sales and procurement – with utility agents for simpler actions like web research and calculations.2Integration with 80+ leading enterprise applications from providers like Adobe, AWS, Microsoft, Oracle, Salesforce Agentforce, SAP, ServiceNow, and Workday.Agent orchestration to handle the multi-agent, multi-tool coordination needed to tackle complex projects like planning workflows and routing tasks to the right AI tools across vendors.
Agent observability for performance monitoring, guardrails, model optimization, and governance across the entire agent lifecycle.3

IBM is also introducing the new Agent Catalog in watsonx Orchestrate4 to simplify access to 150+ agents and pre-built tools from both IBM and its wide ecosystem of partners, which includes Box, MasterCard, Oracle, Salesforce, ServiceNow, Symplistic.ai, 11x and more. For example, the catalog will include a sales agent for discovering and importing prospects that works with and is available in Salesforce’s Agentforce and a conversational HR agent that can be embedded in Slack.

Forrester TEI projects 176% ROI over three years by automating integration of apps, APIs, events, and more across hybrid cloud

As AI adoption accelerates, integration remains a major challenge. Most enterprises rely on a patchwork of APIs, apps, and systems spread across on-prem and multi-cloud environments – many of which weren’t built to work together.  

IBM is introducing webMethods Hybrid Integration5, a next-generation solution that replaces rigid workflows with intelligent and agent-driven automation. It will help users manage the sprawl of integrations across apps, APIs, B2B partners, events, gateways, and file transfers in hybrid cloud environments.

An independent Forrester Consulting Total Economic Impact (TEI) study found that a composite organization representative of interviewed customers who adopted multiple webMethods integration capabilities realized over three years6:

176% ROI, plus unquantified benefits such as ease of use, reduced training costs, and improved visibility and security posture40% reduction in downtime33% time savings on complex projects67% time savings on simple projects

This complements IBM’s broader automation portfolio, which spans application development and integration, infrastructure automation and technology business management. Integrations with HashiCorp – including Terraform for infrastructure provisioning and Vault for secrets management – will enhance automation across hybrid environments to support secure configuration, consistent policy enforcement, and scalable operations. Tools like IBM Concert Resilience Posture, along with watsonx and Red Hat technologies, give organizations an intelligent, unified way to manage operations and accelerate AI across hybrid clouds.

Unlocking unstructured data for generative AI

Unstructured data – buried in contracts, spreadsheets, and presentations – is one of the most valuable but underutilized resources in the enterprise. IBM is evolving watsonx.data to help organizations activate this data to drive more accurate, effective AI.7

The new watsonx.data will bring together an open data lakehouse with data fabric capabilities – like data lineage tracking and governance – to help clients unify, govern, and activate data across silos, formats, and clouds. Enterprises will be able to connect their AI apps and agents with their unstructured data using watsonx.data, which tests show can lead to 40% more accurate AI than conventional RAG.8

IBM is also introducing watsonx.data integration, a single-interface tool for orchestrating data across formats and pipelines, and watsonx.data intelligence, which uses AI-powered technology to extract deep insights from unstructured data.9 They will be available as standalone products, with select capabilities also available through watsonx.data – maximizing client choice and modularity.

To complement these products, IBM recently announced its intent to acquire DataStax, which excels at harnessing unstructured data for generative AI. With DataStax, clients can access additional vector search capabilities. Further, watsonx is now integrated as an API provider within Meta’s Llama Stack, enhancing enterprises’ ability to deploy generative AI at scale and with openness at the core.

IBM’s new content-aware storage (CAS) capability is now available as a service on IBM Fusion, with support for IBM Storage Scale coming in 3Q. This provides ongoing contextual processing of unstructured data to make extracted information easily available to RAG applications for faster-time-to-inferencing.

Infrastructure for AI scale

IBM is launching IBM LinuxONE 5, its most secure and performant Linux platform for data, applications, and trusted AI – with the ability to process up to 450 billion AI inference operations per day.10 IBM LinuxONE 5’s innovations include: 

IBM’s State-of-the-art AI accelerators, including IBM’s Telum II on-chip AI processor and the IBM Spyre Accelerator (available 4Q 2025 via PCIe card), to enable generative and high-volume AI applications such as transactional workloads.Advanced security offerings with confidential containers to help clients protect their data and new integrations with IBM’s pioneering quantum-safe encryption technology to address quantum-enabled cybersecurity attacks.Significant reductions in costs and power consumption, moving cloud-native, containerized workloads from a compared x86 solution to an IBM LinuxONE 5 running the same software products can save up to 44% on the total cost of ownership over 5 years.11

IBM has also expanded its GPU, accelerator and storage collaborations with AMD, CoreWeave, Intel, and NVIDIA to provide new solutions for compute-intensive workloads and AI-enhanced data.

To see all THINK news, visit the IBM Newsroom.

Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only.

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs, and gain a competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity, and service. Visit www.ibm.com for more information.

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1 Planned availability for agent builder capabilities in June 2025
2 HR agent now generally available. Planned availability for sales & procurement agents in June 2025.
3 Planned availability for agent observability capabilities June 2025
4 Planned availability for agent catalog June 2025
5 Planned availability for webMethods Hybrid Integration in June 2025
6 Forrester Consulting, The Total Economic Impact™ of IBM webMethods, a commissioned study conducted by Forrester Consulting on behalf of IBM, 2024
7 Planned availability for new watsonx.data in June 2025
8 Based on IBM internal testing comparing the answer correctness of AI model outputs using watsonx.data Premium Edition retrieval layer to vector-only RAG on three common use cases with IBM proprietary datasets using the same set of selected opensource commodity inferencing, judging and embedding models and additional variables. Results can vary.
9 Planned availability for watsonx.integration and watsonx.data intelligence in June 2025.
10 Performance result is extrapolated from IBM internal tests running on IBM Systems Hardware of machine type 9175. The benchmark was executed with 1 thread performing local inference operations using a LSTM based synthetic Credit Card Fraud Detection model to exploit the Integrated Accelerator for AI. A batch size of 160 was used. IBM Systems Hardware configuration: 1 LPAR running Red Hat® Enterprise Linux® 9.4 with 6 cores (SMT), 128 GB memory. Results may vary.
11 IBM® internal performance tests for the core consolidation study targeted a comparison of the following servers. IBM Machine Type 9175 MAX 136 system consisting of three CPC drawers containing 136 configurable processor units and six I/O drawers to support both network and external storage. The x86 solution used a commercially available enterprise server with two 5th generation Intel® Xeon® Platinum 8592+ processors, 64 cores per CPU. Both solutions had access to the same storage. Results may vary. The test results were extrapolated to a typical, complete customer IT solution that includes isolated from each other production and non-production IT environments. TCO included software, hardware, energy, network, data center space, and labor costs. On the IBM z17 side the complete solution requires one IBM z17 Type 9175 MAX 136, and on x86 side, the complete IT solution requires 23 compared servers.

Media Contact: 

Amy Angelini
IBM
alangeli@us.ibm.com 

IBM client and partner testimonials: 

Avid Solutions, Malcolm Adams, CEO  
“As labor markets tighten and skills gaps widen, agentic AI will help advance the intelligent workforce and have a profound impact on ecosystems and economies. We’ve used watsonx Orchestrate on AWS to automate repetitive tasks for customer service, project management and accounting, but we’re most excited about the enormous impact agentic AI and networks of agents working together will have on large scale challenges such as global supply chains. Watsonx provides the foundation for trustworthy AI while AWS provides the power to scale globally to transform entire industries.” 

Banco de Brasil, Paulo Andre, Chief Technology Officer 
“By leveraging IBM Z, LinuxONE, and Red Hat Openshift as part of our hybrid cloud strategy, Banco de Brasil has transformed how we serve our customers. With accelerated data processing, real-time insights, and resilient infrastructure across two separated data centers, we can deliver faster, personalized services while strengthening operational efficiency and business continuity to mitigate risk.” – Paulo Andre, Chief Technology Officer, Banco de Brasil 

BNP Paribas, Jean-Michel Garcia, Group Chief Technology Officer
“At BNP Paribas, building resilient and secure cloud foundations is key to supporting the bank’s digital transformation and delivering reliable services to our clients. Our extended partnership with IBM Cloud contributes to this effort and helps us accelerate our cloud-native strategy. These solid infrastructures are also an essential enabler for scaling generative AI use cases, across our businesses.” Jean-Michel Garcia, Group Chief Technology Officer, BNP Paribas

Cencora, Pawan Verma, Executive Vice President and Chief Data and Information Officer
“In today’s increasingly complex and ever-changing healthcare landscape, Cencora plays a vital role in advancing pharmaceutical innovation and access, helping our healthcare customers and their patients have timely and reliable access to the medicines they need,” said Pawan Verma, Executive Vice President and Chief Data and Information Officer, Cencora. “Our strategic digital transformation, powered by collaborations with technology leaders like IBM, will help streamline, improve, and digitize end-to-end business processes, supporting our continued growth and enabling us to deliver an enhanced ‘high-touch and high-tech’ customer experience.” 

Dynamiq, Vitalii Duk, Founder & CEO  
“At Dynamiq, we’re helping AI builders move faster from idea to deployment by using IBM watsonx capabilities alongside our platform. With the latest Granite models in watsonx.ai and embed tools and vector databases in watsonx.data, AI engineers using Dynamiq platform can rapidly prototype and deploy RAG systems, AI agents, and LLM applications. And with watsonx.governance, we’re giving teams the power to move fast – with built in trust and transparency.” 

EY, Martin Fiore, EY Americas Deputy Vice Chair – Tax  
“Tax compliance is a critical yet complex function for corporations that has long been associated with time-consuming and manual processes. Our collaboration with IBM connects the organization’s leading technology with EY’s deep domain expertise to deploy distinct AI-enabled tax solutions that enable workflow automation and unlocks data-driven insights for tax teams. We look forward to working with IBM to continue enhancing these solutions, using emerging technology to expand to other tax processes and ultimately helping businesses improve efficiency, cost and quality.” 

Honda, J Schumacher, Global Lead, Enterprise Architecture 
“At Honda, we are committed to scaling AI in a way that is responsible, human-centered, and deeply rooted in our core values of safety, trust, and respect for individuals,” said J Schumacher, Global Lead, Enterprise Architecture, American Honda Motor Co., Inc. “We are collaborating with IBM Consulting to help us shape the strategy and governance needed to scale AI responsibly and deliver lasting, meaningful impact across our organization.” 

Lockheed Martin, John Clark, senior vice president of Technology and Strategic Innovation  
“Through our Lockheed Martin AI Factory, we closely collaborate with leaders in commercial technology like IBM to deploy powerful AI solutions at scale for our national security customers,” said John Clark, senior vice president of Technology and Strategic Innovation at Lockheed Martin. “At the same time we are transforming our internal operations through AI tools to channel the ingenuity of our 70,000 engineers, scientists and technicians in ways that rapidly accelerate our innovation and efficiency, to get solutions out of the lab and into the field, helping create a safer, more secure world.” 

Lumen, Kate Johnson, president and CEO  
“Our edge network spans the U.S., giving businesses fast, direct access to their critical data and major cloud providers,” said Kate Johnson, president and CEO at Lumen Technologies. “By teaming up with IBM, we’re making it possible to run powerful AI applications without the added costs or risks of relying solely on the public cloud. It’s a faster, safer way for companies to bring generative AI and other groundbreaking digital tools into their everyday operations.” 

PepsiCo, Magesh Bagavathi, SVP, Global Head of Data, Analytics & AI
“PepsiCo is leading the AI transformation in the CPG industry, integrating it across the value chain to deliver meaningful impact for both our people and our customers. In collaboration with IBM Consulting, we’ve developed a robust generative AI platform designed to accelerate business value. By leveraging the full power of our ecosystem, this capability drives smarter decision-making, faster innovation, and a more connected, intelligent future.”
 
Slack, Peter Doolan, Chief Customer Officer  
“Every employee requires more agile solutions so they can get their work done at peak efficiency,” said Peter Doolan, Chief Customer Officer of Slack at Salesforce. “By working with partners like IBM to bring AI-powered solutions and agents into Slack, we’re delivering a seamless employee support experience that empowers users to focus on the high-impact work that truly matters.” 

State Street, Mostapha Tahiri, Executive Vice President and Chief Operating Officer 
“At State Street, we continue our transformation to a more robust, data-led, global financial services leader and are seeing the tremendous potential AI provides to shape investment services and investment management for the future,” said Mostapha Tahiri, Executive Vice President and Chief Operating Officer at State Street. “Unlocking the full value of AI begins with a strong, enterprise-wide data foundation, and we share a commitment with IBM to responsible innovation in the AI and data landscape.” 

UFC, Alon Cohen, Senior Vice President, UFC Research and Development  
“IBM’s deep expertise in data and technology made them a clear choice to serve as UFC’s Official Enterprise AI Partner and help bring the UFC Insights Engine to life. Using watsonx, we’re transforming years of fight data into compelling storylines – creating a newer and more dynamic layer of engagement between UFC’s global viewing audience and the action in the Octagon, taking the UFC experience to the next level.” 

Uptok, Kashif Zaman, CEO  
“The reality is, enterprise buyers aren’t just evaluating AI—they’re evaluating judgment. IBM gives us the foundation to demonstrate both. In AI, getting to eighty percent is fast. But in the enterprise, the final ten percent—performance, reliability, control—is where trust is made or lost. We didn’t pick IBM because it had the flashiest model—we picked it because it fits how we build AI.” 

USAA, Ramnik Bajaj, Chief Data Analytics and Artificial Intelligence Officer  
“At USAA, our unrelenting focus is on serving our members with excellence, and we are always looking for opportunities to implement the power of AI and data to further that goal,” said USAA Chief Data Analytics and Artificial Intelligence Officer Ramnik Bajaj. “In collaboration with IBM, we are working on ways to integrate structured and unstructured data at scale, to enable intelligent automation in processes like underwriting, claims, member feedback analysis and others that involve complex documents and require extensive processing. This will allow us to provide faster, more personalized service to our members and create more efficient workflows for our teams.” 

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Toku launches Makimoto Flows, a visual builder for speech AI pipelines, taking its open-source initiative beyond transcription

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18 minutes ago

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October 21, 2026

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Developers can chain transcription, summarisation and call tagging on one canvas, test each step and export the pipeline as code, with every step processed in Singapore

SINGAPORE, Oct. 21, 2026 /PRNewswire/ — Toku Ltd. (SGX: TKU), a Singapore-headquartered AI-powered customer experience (CX) platform, has launched Makimoto Flows (“Flows”), a visual builder within its open-source conversational AI initiative where developers assemble speech AI pipelines block by block and test each stage on a recorded call. Flows is now live at makimoto.ai.

On the Flows canvas, developers connect blocks to build a speech AI pipeline and test each step individually. The Transcribe block converts audio into text using Kawa, the Summarise block generates a topic and short summary from the transcript, and the Tags block classifies each call across seven categories, including customer sentiment. Developers can see how audio moves from transcription to analysis, and control how each stage connects and runs. Every block runs in Singapore, so audio, transcripts and the resulting analysis stay in-country.

The Chained Analysis starter template puts these blocks together in one click, and developers can adjust any block and rerun it to compare results. Each block maps to a Makimoto API endpoint, and any flow can be exported as ready-to-run Python code, so developers can take the same capabilities into their own code for applications such as call recaps and call triage.

“Developers should have control over how their voice AI works, from the models they use to the way each stage connects. That is the principle behind Makimoto. Flows puts the orchestration layer in front of them: they can build a pipeline, run a recorded call through it and see what each step produces before anything reaches their customers. Models will keep changing. The ability to compose them, and to know where they run, is what lasts,” said Thomas Laboulle, Founder and CEO at Toku.

Flows builds on the composable architecture Toku set out when it introduced Makimoto in April 2026, and takes the initiative beyond transcription. Kawa, released on schedule on 1 July 2026, established the transcription layer through a Singapore-hosted API; summarisation and tagging endpoints followed in September; Flows now lets developers compose them visually. Next, Makimoto plans to add audio preparation blocks, starting with noise filtering, giving developers more control over how recordings are processed before transcription.

By pairing open-source development with enterprise-grade deployment, Makimoto complements Toku’s existing customer experience platform and supports long-term innovation opportunities across the Group’s AI roadmap.

Developers can create a free account at makimoto.ai, open the Chained Analysis template and run a sample recording, or one of their own call recordings, through it; each account includes 1,000 free minutes. Feedback reaches the Makimoto team directly from the portal.

About Toku

Headquartered in Singapore, Toku Ltd. (SGX Catalist: TKU) is a cloud-native, AI-powered customer experience platform purpose-built for enterprises operating in complex, multi-market environments. With deep roots in the APAC region and an expanding global footprint, Toku’s modular 360° CX Platform orchestrates customer interactions across voice, chat, email and digital channels while managing regulatory, linguistic and infrastructure complexity at scale.

Built on end-to-end ownership of its technology stack, from carrier-grade connectivity to AI applications, Toku delivers enterprise-grade security, reliability and deployment flexibility in commercial cloud, private data centres and hybrid environments. Its AI capabilities include transcription, summarisation, sentiment analysis, conversation analytics and governed virtual agents, designed to integrate seamlessly with enterprise systems and customer data.

Trusted by leading enterprises and public-sector organisations, Toku helps organisations streamline operations, scale customer engagement and deliver consistent experiences in fragmented markets worldwide.

For more information about Toku, visit toku.co.

About Makimoto

Makimoto is Toku’s open-source initiative, operated through Makimoto Technology Pte Ltd, a wholly owned subsidiary of the Toku Group, dedicated to building composable conversational AI infrastructure for Asia-Pacific. Its releases include Makimoto Kawa, a Singapore-hosted transcription API; summarisation and tagging endpoints; and Makimoto Flows, a visual builder for composing speech AI pipelines. For more information about Makimoto, visit makimoto.ai.

Forward-Looking Statements

This press release contains forward-looking statements regarding Toku’s expansion plans, business strategy and planned product releases. These statements are based on current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially. Toku undertakes no obligation to update these statements to reflect subsequent events or circumstances.

Sponsor’s Statement

Toku Ltd. (the “Company”) was listed on Catalist of the Singapore Exchange Securities Trading Limited (the “Exchange”) on 22 January 2026. The initial public offering of the Company was sponsored by PrimePartners Corporate Finance Pte. Ltd. (the “Sponsor”). This press release has been reviewed by the Sponsor. It has not been examined or approved by the Exchange and the Exchange assumes no responsibility for the contents of this press release, including the correctness of any of the statements or opinions made or reports contained in this press release. The contact person for the Sponsor is Ms. Ng Shi Qing, 16 Collyer Quay, #10-00 Collyer Quay Centre, Singapore 049318, sponsorship@ppcf.com.sg.

Investor Relations Contact:
investor.relations@toku.co

Developers and Partners:
contact@makimoto.ai  

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SOURCE Toku Ltd.

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Conscious Spark LLC Launches Alphimiya® Neuro-Recalibration Framework Designed to Resolve C-Suite Revenue Plateaus

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18 minutes ago

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October 21, 2026

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New research-backed neuro-recalibration framework targets the autonomic nervous system’s threat response to managing high financial amounts, offering enterprise leaders a biological pathway to scaling.

ANTALYA, Turkey and ALBUQUERQUE, N.M., Oct. 21, 2026 /PRNewswire/ — Conscious Spark LLC, a research and advisory firm specializing in applied neuroscience for executive leadership, today announced the official launch of Alphimiya®, a proprietary C-suite neuro-recalibration framework designed to resolve corporate revenue plateaus by upgrading the biological capacity of enterprise decision-makers.

Developed to address the root causes of stalled enterprise growth, the Alphimiya® framework targets the human autonomic nervous system’s subconscious threat response to managing high financial amounts. When commercial leaders and CEOs attempt to scale past historical capital thresholds without recalibrating their stress response, the body’s natural survival mechanism triggers decision fatigue, strategic risk aversion, and systemic self-sabotage. Alphimiya® recalibrates this biological safety brake, enabling executive teams to hold, absorb, and scale larger financial volumes without physiological or operational friction.

“A corporate revenue plateau is rarely an operational or marketing failure; it is a biological safety brake embedded within executive leadership,” stated Dr. Ahmed Al-Nashi, Founder of Conscious Spark LLC. “When managing high financial amounts triggers an underlying physical stress response, the enterprise subconsciously contracts to remain in its perceived safe zone. Alphimiya® removes that biological friction, allowing C-level leaders to multiply revenue with calm, biological authority.”

The Alphimiya® framework restructures executive performance across three core operational pillars:

Sovereign Enterprise Scaling: Expands the nervous system’s tolerance for high-stakes capital, allowing leadership teams to scale revenue without experiencing executive burnout.

High-Value Deal Execution: Regulates autonomic stress responses during multi-million-dollar negotiations and volatile market entries, eliminating hesitation under pressure.

Restored Strategic Clarity: Removes chronic decision fatigue across C-suite teams, restoring mental focus and strategic presence inside and outside the boardroom.

By recalibrating the autonomic nervous system’s response to high capital exposure, Alphimiya® removes the subconscious biological brakes that lock corporate revenue at a standstill. Senior C-level executives and enterprise leadership teams seeking to evaluate their organization’s biological capacity can access the official executive briefing, case studies, and framework assessment directly at https://alphimiya.co/.

About Conscious Spark LLC

Conscious Spark LLC is a U.S.-registered firm specializing in executive education, training, and strategic performance consulting. Pioneering applied neuroscience for C-level leaders, founders, and commercial decision-makers, the firm utilizes its proprietary Alphimiya® methodology to enable leadership teams to recalibrate biological stress responses, resolve revenue ceilings, and build scalable corporations.

Media Relations Team
Conscious Spark LLC
Email: hello@consciousspark.online 
Website: https://alphimiya.co/

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SOURCE Conscious Spark LLC

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Daffodil Software Brings Multilingual Conversational AI to Aadhaar’s Udai Mascot

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18 minutes ago

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October 21, 2026

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GURUGRAM, India, Oct. 21, 2026 /PRNewswire/ — Daffodil Software showcased an AI-powered conversational experience featuring UIDAI’s Udai mascot at Aadhaar Samvaad 2026. Developed by Daffodil Software, the assistant is designed to help users access Aadhaar-related information through natural conversation, using official UIDAI as its reference knowledge base.

Daffodil Software has developed Udai, an AI-powered virtual mascot that helps users get clear, reliable answers about Aadhaar simply by talking to it. The assistant was showcased at Aadhaar Samvaad 2026, held in Kolkata on 29 September, coinciding with the 17th Aadhaar Day, where visitors watched it listen, respond, and gesture in real time in their own language.

For most people, questions about Aadhaar come up in daily life, and they usually need answers fast. Which documents do I need for an address change? How much does an update cost? How do I link Aadhaar to my bank account or mobile number? The answers exist, but finding them usually means working through long help pages and documents.

 Udai is designed to answer exactly these questions in a natural conversation, without anyone having to search through long help pages.

A conversation in the user’s own language

Udai speaks and understands 11 languages: Hindi, Tamil, Bengali, Telugu, Kannada, Malayalam, Marathi, Gujarati, Punjabi, Odia, and English. A user simply asks a question. Udai listens, works out the answer, and replies in the same language, with natural speech, matching lip movements and expressive hand gestures.

What sets Udai apart is how it is built. AI avatars rely on expensive, specialised graphics hardware to bring a face to life. Udai takes a simpler route. The character is created from pre-filmed footage, and its lip movements are matched to its speech in real time using lightweight processing that runs in a web browser.

The result is a smooth experience at 24 frames per second on ordinary servers, at a fraction of the usual cost per user. For a programme that serves hundreds of millions of people, that efficiency is what turns a nationwide rollout from an ambition into a practical plan.

“Our focus with Udai was to make Aadhaar-related information easier to access through natural conversation. Combining multilingual voice interaction with official reference content allowed our team to build an experience that is practical, approachable, and useful to users,” said Yogesh Agarwal, Founder and CEO, Daffodil Software.

Answers drawn only from official sources

The assistant uses official UIDAI material as its reference knowledge base: frequently asked questions, provisions of the Aadhaar Act, and government policy documents on Aadhaar services. It covers the topics users ask about most:

Enrolment and registrationAddress and demographic updatesFees, required documents and eligibilityeKYC and Virtual IDLinking Aadhaar with bank accounts, PAN and mobile numbersmAadhaar servicesGrievance redressal

Users don’t need to phrase their questions in any particular way. Udai understands everyday language, whether a question is spoken in English, Hindi, or asked in a mix of both, and finds the most relevant official information to answer it.

Built to be accurate, respectful, and secure

When a public service speaks directly to users, trust matters as much as convenience. Udai is protected by three layers of safeguards.

Accuracy first. Udai answers only from its verified knowledge base. Responses are grounded in a curated knowledge base of official UIDAI material. If a question falls outside Aadhaar, it guides the user back rather than offering an answer it cannot stand behind.

Respectful conversations. A screening layer catches abusive or offensive language in English, Hindi, and Hinglish before it reaches the assistant. Screening is designed to identify abusive language while supporting legitimate queries

Protection against misuse. Udai cannot be talked into abandoning its role, pretending to be someone else, revealing its internal setup, or answering beyond its approved scope. These checks work almost instantly, so users experience no delay.

What comes next?

Udai is planned to roll out in two phases.

In the first phase, the mascot will be placed in Aadhaar Centres. Visitors will be able to check information and understand processes on their own, such as which documents they need for an address change. This frees centre staff to focus on their core work instead of answering the same questions again and again.

In the second phase, Udai will come to the Aadhaar website and mobile app, taking the place of the current text-based chatbot, which was also built by Daffodil.

About Daffodil Software

Daffodil Software is a software engineering and AI solutions company serving businesses across industries. Its services span software consulting, product engineering, UI/UX design, AI/ML development, quality assurance, cloud and DevOps, and maintenance. The company serves sectors including healthcare, fintech, banking, technology, and digital commerce. Its client portfolio includes organizations such as the Reserve Bank of India, Mount Sinai Hospital, Maruti, Samsung, Pramerica Insurance, and Dangote Group. Daffodil Software has also been featured in industry research and recognition by Gartner, Everest Group, Zinnov, and Frost & Sullivan. For more information, visit https://www.daffodilsw.com

Media contact

Kunwar Pal Singh
media-relations@daffodilsw.com

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