The Tech Panda takes a look at recent launches in the superfast field of Artificial Intelligence (AI).
Fintech: Bank Account Verification, Strengthening Supplier Payments and Reducing Fraud Risk
Achilles, a platform in supply chain risk and performance management, launched Bank Account Verification in partnership with DIRO, an AI-powered digital verification platform. The solution provides businesses with real-time authentication of supplier bank accounts, helping prevent misdirected payments and build trust across supply chains.
“Working with DIRO allows us to tackle one of the most pressing risks in global supply chains today,” said Mark Chamberlain, Chief Product Officer at Achilles. “By combining DIRO’s AI-powered verification with Achilles’ supply chain expertise, businesses can reduce the risk of payment fraud, strengthen trust, and keep commerce flowing efficiently.”
Features
- Safer Payments – Verify supplier bank details in real time to prevent misdirected funds.
- Faster Onboarding – Encourage suppliers to complete verification quickly, reducing delays.
- Compliance Support – Strengthen Know Your Business (KYB) and Anti-Money Laundering (AML) workflows.
- Global Reach – Access to over 44,000 banks, 9,000 utilities, and 700 government sources across 195 countries.
Software Development: Agent Builder to Accelerate AI Agent Development
Elastic (NYSE: ESTC), the Search AI Company, announced Agent Builder, a complete set of capabilities powered by Elasticsearch, that makes it easy for developers to build custom AI agents on company data, all within minutes. Agent Builder also provides an out-of-the-box conversational experience for exploring, analyzing, and optimizing any data in Elasticsearch.
”AI agents don’t just need lots of data, they need the right data and tools, with relevance, guardrails, and observability built in,” said Ken Exner, chief product officer at Elastic. “Developers already rely on Elasticsearch to find the right answer from their messy business data. Agent Builder goes further by making Elasticsearch one of the fastest platforms to build precise AI agents that use your data, where retrieval, governance, and orchestration all operate in one place, natively.”
Features
With Agent Builder, developers can:
- Immediately Chat with Company Data: Agent Builder includes a built-in, native conversational agent. Right out of the box, you can ask questions and interact with any data you have in Elasticsearch, turning your data into an active, conversational partner.
- Leverage Intelligent Built-In Tools for Relevance: Agent Builder comes with a set of built-in tools, including a powerful search capability that selects the right index, understands the structure of that data, translates natural language into optimized semantic, hybrid or structured queries, and returns only the most relevant context to the Large Language Model (LLM).
- Build Powerful Custom Tools: Define tools that give the agent new skills, harnessing the full power of Elasticsearch’s query language (ES|QL) to precisely control what data is used for context. This gives granular control over the relevance, accuracy, and security of your agent’s responses.
- Define Custom Agents: Create your own custom agent from the ground up, going beyond the built-in options. You control the agent’s entire persona with a custom system prompt, decide exactly which tools it can access, and configure its specific security profile to meet your needs.
- Integrate with MCP and A2A Safely: Connect external agents and applications via MCP and A2A, while maintaining governance through the Elasticsearch execution layer.
Search: Generative Engine Optimization Platform to help Indian businesses win in AI Search
Writesonic, a Y-Combinator–backed platform in Generative AI, launched its Generative Engine Optimization (GEO) Platform in India. Designed for enterprises, startups, and agencies, the platform helps brands identify which prompts (search queries) they are showing up for in AI search platforms like ChatGPT, monitor competitors’ AI visibility as well as provides actionable suggestions to improve AI presence to drive more leads. With platforms like ChatGPT, Gemini, Claude, and Perplexity increasingly delivering direct answers to user queries, the way customers discover brands has shifted dramatically.
Samanyou Garg, Founder & CEO, Writesonic said “If you’re not part of the AI answer, you’re not part of the deal. He pointed out that 89 percent of B2B buyers already use AI platforms for research, often shortlisting vendors without ever visiting their websites. For Indian businesses, this means the first impression and often the only impression is being made inside AI answers.”
Features
- Early adopters of Writesonic’s GEO methodology have seen leads from AI discovery jump from 2.5 percent to 11 percent within weeks.
- AI-driven visitors convert three to eight times better than traditional web traffic, and some brands improved visibility in AI answers from zero to four percent in under 20 days.
No code: AI-Powered Platform That Builds Production-Ready Applications in Under 15 Minutes
Launch, an AI-native platform that generates fully functional, production-ready applications from plain English prompts, launched after onboarding more than 2,000 early adopters across 10+ countries.
“We’re not just reducing time-to-launch we’re raising the quality bar,” said Prakash Sanker, Founder & CEO at Launch. “With Launch, speed and scale go hand in hand. Whether validating an MVP or launching a global SaaS tool, you can now do it in hours, not months.”
Features
- Generates complete frontend and backend code
- Configures integrated databases and user authentication
- Enables payment processing through payment partners
- Provides one-click deployment with custom domains
- Seamlessly integrates with GitHub for version control
- Offers unlimited AI-powered debugging and live human support
Skilling: Groundbreaking Advanced in AI Audit (AAIA) Certification
AI literacy tops the list of the 15 fastest-growing skills professionals need to stay competitive in today’s environment, according to a new LinkedIn report. Designed to meet the needs of audit professionals who are facing an evolving tech and compliance landscape with AI at the forefront, ISACA has introduced the ISACA Advanced in AI Audit (AAIA) certification—the first advanced audit-specific artificial intelligence certification designed for experienced auditors.
“ISACA is proud to have served the global audit community for more than 55 years through our audit and assurance standards, frameworks and certifications, and we are continuing to help the community evolve and thrive with the certifications and training they need in this new era of audits involving AI,” says Shannon Donahue, ISACA Chief Content and Publishing Officer. “Through AAIA, auditors can demonstrate their expertise and trusted advisory skills in navigating AI-driven challenges while upholding the highest industry standards.”
Features
- The certification showcases IT audit professionals who can navigate the complexities of AI, demonstrating they have the skills to respond to risks, identify opportunities, and ensure compliance while safeguarding organizational integrity.
- Built on ISACA’s trusted expertise in IT audit and the rigorous standards behind renowned credentials like Certified Information Systems Auditor (CISA) from ISACA, Certified Internal Auditor (CIA) from Institute of Internal Auditors (IIA), and Certified Public Accountant (CPA) from American Institute of Certified Public Accountants (AICPA), this certification validates expertise in conducting AI-focused audits, addressing AI integration challenges, and enhancing audit processes through AI-driven insights.
- In addition to being able to audit systems that utilize AI, IT audit professionals can leverage AI tools and techniques to streamline audits, reduce manual effort, and boost operational efficiency for faster, more accurate decision-making, while maintaining the highest standards of accuracy, compliance and innovation.
- Those with an active CISA from ISACA, CIA from IIA, and CPA from AICPA are eligible to pursue the AAIA, which covers the key domains of AI governance and risk, AI operations, and AI auditing tools and techniques.
Ecommerce: India’s First AI-Integrated MCP Server for eCommerce
Shiprocket, Indian eCommerce enablement platform, launched the country’s first Model Context Protocol (MCP) Server for eCommerce Shipping. This breakthrough innovation allows AI agents to directly handle key operations—from checking shipping rates to tracking orders—using a single line of instruction.
Saahil Goel, MD & CEO of Shiprocket, said: “At Shiprocket, we’re building not just for scale, but for the future. Our MCP Server launch marks a transformative shift from manual workflows to autonomous operations powered by AI. This is how we enable millions of businesses to work smarter, respond faster, and scale effortlessly. This is more than just an integration, it’s a new interface for eCommerce. We’re enabling a world where AI doesn’t just support business decisions, it executes them.”
Features
- Faster execution – Instantly perform logistics actions, reducing manual effort and delays
- Seamless integration – Connect effortlessly with AI tools or enterprise systems
- Hands-free operations – No dashboards or human intervention needed
- Enterprise-grade security – Built on Shiprocket’s trusted, scalable infrastructure
Data Storage: New Data Storage Solutions to Accelerate IT Modernization for the Age of AI
Lenovo announced its largest storage portfolio refresh in company history, unveiling new Lenovo Data Storage Solutions that prepare enterprise IT for the age of AI with better efficiency, performance and scalability. Ushering in a new era of AI-optimized storage that propels business transformation, the complete portfolio includes storage arrays, software defined storage (SDI), and new AI and virtualization innovations to flexibly address rapidly evolving data operations. Using the solutions, businesses can easily run AI and data modernization workloads on the next generation of trusted Lenovo ThinkSystem and ThinkAgile infrastructure, unleashing data to power real-time reasoning and confidently deploying AI and data modernization workloads at scale.
“With 51% of Indian enterprises planning to ramp up AI initiatives over the next 12 months, the demand for intelligent, scalable, and ROI-driven infrastructure is surging. Lenovo’s new ThinkAgile and ThinkSystem hybrid cloud and virtualization solutions are purpose-built to meet this need, enabling independent scaling of compute and storage while reducing software licensing costs by up to 40%. Coupled with AI Starter Kits, integrated security, and liquid-cooled HCI innovation, we are helping customers modernize with confidence, accelerate time-to-insight, and maximize the return on their AI investments” – Amit Luthra, Managing Director, Lenovo ISG India.
Features
- Lenovo ThinkAgile SDI V4 Series provides full-stack, turnkey solutions that simplify IT infrastructure and accelerate computing for data-driven reasoning and faster time to value for AI LLM inferencing workloads.
- Engineered to put actionable data insights to work more quickly in business operations, the new Lenovo ThinkSystem Storage Arrays deliver up to 3x faster performance while reducing power consumption1, providing up to 97% energy savings and 99% density improvement over a Lenovo device featuring 10K HDDs for smaller data center footprints and lower TCO and when upgrading legacy infrastructure2.
- New converged Lenovo ThinkAgile and ThinkSystem hybrid cloud and virtualization solutions deliver flexible and efficient independent scaling of compute and storage capabilities, reducing software licensing costs up to 40 percent, maximizing business value3.
- New Lenovo ThinkAgile HX Series GPT-in-a-Box solutions featuring Lenovo Neptune™ Liquid Cooling leverage the industry’s first liquid cooled HCI appliance to deliver turnkey AI inferencing that takes AI from concept to success across distributed applications, from edge to cloud, yielding up to 25% energy savings over previous generation to increase ROI and achieve data-driven breakthroughs4.
- New AI Starter Kits for Lenovo Hybrid AI Platform deliver a validated, flexible, and easy on-ramp for enterprise inferencing and retrieval-augmented (RAG) workflows.
Data Center: One of the World’s Largest Sovereign AI Data Centers Leveraging Vertiv Infrastructure, NVIDIA Accelerated Computing and Omniverse
Vertiv (NYSE: VRT), a global provider of critical digital infrastructure, tied up with NVIDIA and renowned AI platform iGenius to deploy Colosseum, one of the world’s largest NVIDIA DGX AI supercomputers with NVIDIA Grace Blackwell Superchips. Set to deploy in 2025 in Italy, Colosseum will redefine the digital landscape through a first-of-its-kind sovereign AI data center for regulated workloads.
“Harnessing the power of NVIDIA’s cutting-edge accelerated computing and Vertiv’s innovative infrastructure expertise, Colosseum stands as a testament to the transformative potential of sovereign AI,” said Uljan Sharka, CEO of iGenius. “We’re demonstrating how modular systems and software-specific infrastructure enable a new era of mission-critical AI.”
Features
- Supports rollout of enterprise-grade deployment of sovereign AI compute
- Embodies a fusion of exceptional computational power, energy efficiency, and data sovereignty while balancing stringent data security requirements.
- Real-time orchestration across power, cooling, and compute
- Digital twin synchronization for closed-loop optimization
- AI-ready capabilities that support autonomous decision-making
Fintech: AI-Powered Debt Management Platform
Poonawalla Fincorp Limited (PFL), a Cyrus Poonawalla Group promoted NBFC, focused on consumer and MSME lending, announced the implementation of advanced AI-powered debt management platform to transform its debt management processes, redefining the collections journey in the lending sector. This aims to enhance efficiency across processes, strategic designs, and governance framework.
Arvind Kapil, Managing Director & CEO of Poonawalla Fincorp, said, “Our adoption of AI in debt management is not just about automation—it’s about smarter, data-driven decisions that improve outcomes. By combining predictive insights with governance controls, we are redefining collection strategies to be more effective, adaptive, and responsive to customer engagement.”
Features
- Central to this transformation is an advanced engine that autonomously analyzes data from customer interactions, including digital communications, tele-calling, and field operations.
- It offers a multi-layered, multi-channel intervention mechanism that enhances efficiency, reducing 4-5 days of manual effort typically needed for managing collection communications.
- The platform will enable PFL to leverage 100 plus micro-strategies that are aligned with customer profiles, preferred communication channels, and optimal engagement timings.
- Implementation of a human less, automated channel allocation process has reduced the time from 3-4 days to under 3 hours, enabling faster customer engagement post-delinquency, across tele-calling and field channels.
- Usage of the platform is augmented with predictive models driven by AI and machine learning, empowering the team with smarter decision-making capabilities. It delivers 2-3X sharper risk assessment compared to the traditional models.
- The company is also using GenAI-enabled automated call audit mechanism to monitor collection agents’ interactions, ensuring compliance with governance standards and enhancing accountability.
AI Research: AryaXAI AI Alignment Labs in Paris & Mumbai to Drive Frontier Research on AI Interpretability & AI Alignment
AryaXAI, the research and development group within Arya.ai, an Aurionpro Company, launched ‘The AryaXAI AI Alignment Lab’ in Paris and Mumbai to accelerate research in the verticals of AI Explainability and Alignment. This initiative aims to bring together the finest global talent and research institutions to address key challenges in artificial intelligence.
“AI Interpretability and Alignment are some of the most complex challenges in scaling AI for mission-critical use cases. Solving these means improved visibility inside the models and scalable model alignment techniques, be it for managing the risk, faster/better fine-tuning, model pruning, or new ways of combining model behaviors. We at AryaXAI have been working on these areas,” says Vinay Kumar, CEO of Arya.ai.
Features
- The labs will help expedite AI research efforts by developing scalable frameworks for explainability, alignment, and risk management.
- This ensures AI models operate with precision, uphold transparency, and introduce ground breaking methodologies to train and align models, setting new benchmarks for responsible AI.
