AI Launches: Marketing, software development, data storage, BFSI & Web3 + AI

The Tech Panda takes a look at recent launches in the superfast field of Artificial Intelligence (AI).

Marketing: Enabling Marketers to Surface Deep Campaign Insights in Real-Time & Increase Ad Performance 

Integral Ad Science (Nasdaq: IAS) announced IAS Agent, a new AI-powered assistant that helps customers activate campaigns faster, uncover deeper insights instantly, and optimize performance at scale. Powered by the industry’s most comprehensive dataset—and backed by 15+ years of proprietary IAS insights—IAS Agent is intuitive by design, empowering any marketer to deliver the trusted intelligence brands rely on to protect multi-million-dollar campaigns and accelerate performance across omnichannel investments. IAS will demonstrate IAS Agent at CES 2026, and expects to roll it out globally at no additional cost in early Q1 2026.

“IAS Agent was designed to be a marketer’s advertising compass. It guides decisions with clarity and uncovers deep, comprehensive insights that would otherwise remain hidden—turning those insights into action, in real-time, so marketers can boost performance instantly,” said Srishti Gupta, Chief Product Officer at Integral Ad Science. “And this is just the start. IAS Agent will continue to expand its agentic capabilities to improve workflow and unlock value through AI supply path insights, tagging activation, and campaign settings assistance. This ongoing innovation reflects our commitment to providing advertisers with the trusted, transparent, and actionable data they need to drive superior campaign results and stay ahead in a complex digital landscape.”

Features

• Transparent Self-Reporting: IAS Agent “shows its work,” allowing customers to understand the reasoning behind each recommendation or action enabling marketers to confidently explain decisions and understand the logic driving IAS Agent outputs
• Full Control and Visibility: Customize, override, or adopt recommendations with full visibility into the AI’s decision-making process to improve campaign set up and drive performance for IAS UI users at any level;
• Efficiency Enhancement: Receive AI-generated recommendations for brand safety and suitability settings with minimal input, scaling protection across all investments;  initial tests show an efficiency improvement of 50 percent;
• Instant Insights: Automatically spots trends and patterns across all IAS UI dashboards, surfacing what’s working and delivering campaign performance insights up to 5x faster—without manual analysis;
• Campaign Activation: Simply chat with the agent using natural language for AI-powered guidance to streamline pre-campaign setup; no technical knowledge required.

Software Development: AI-native SDLC Platform that Generates Production-grade Software Reducing Development Time by 75%

TrueReach AI, a software development company, launched Entropy – its proprietary, AI-led, human-assisted GenAI platform that is ushering in the autonomous era of software development. Moving away from the traditional and emerging AI tools, Entropy is designed to orchestrate the entire Software Development Life Cycle (SDLC) – from architecture and sprint planning to coding, testing and validation. In early deployments, Entropy has already demonstrated its transformative potential by autonomously building a full-scale production system for an enterprise operating across 65 cities, digitising sales and customer operations with zero human-written code. The software that would have typically required 120 man-weeks of engineering effort was completed in just 24 man-weeks, marking a defining moment in the evolution of how software can now be built!

Mohit Behl, co-founder, TrueReach AI, said, “We are witnessing a category-defining shift. Enterprise leaders understand AI will transform development, but current tools improve individual developer productivity by 20-45% while leaving the majority of the software development process untouched. When we demonstrate a production system built with zero human-written code, they’re not evaluating a productivity tool. They’re evaluating a strategic platform for how their organisation builds software. The conversations shift from and ‘can this help my developers code faster’ to ‘how does this change our capacity to deliver business value through software?’ And that is the crux of what we at TrueReach are aiming to build!”

Features

• AI-led Architecture and Planning: Entropy proposes solution architecture and generates detailed sprint plans. Human teams of solution architects and project managers need to only validate and approve. This process leads to 75% of man-weeks in savings otherwise spent on the planning phase.
• Autonomous code and test generation: Entropy writes full code bases, complete with test suites. And while the entire coding happens through the platform, human developer only need to oversee it. As per early deployment statistics, this leads to 90% savings in time spent on development and testing.

Data storage: Enhanced Data Storage Solutions & Services to Enable AI-Ready Infrastructure

Lenovo announced an expansive series of new data storage, virtualization solutions and data management services, designed to help customers modernize their IT and data infrastructure for powering enterprise applications and AI ready capabilities. Today’s new offerings include new Lenovo ThinkSystem and ThinkAgile data storage and virtualization solutions, announced in tandem with data management services. Designed to provide a modern foundation for enterprises and mid-size businesses achieving AI innovations, this announcement combines complementary hardware, software and services offerings to help deploy, manage, and unleash the true potential of enterprise data.

“With rapid shifts in virtualization and the growing demand for AI-ready data, many organizations are looking for open, modern infrastructure that can support both. Lenovo’s new storage solutions and services provide that foundation by improving performance, security, and operational simplicity,” said Sumir Bhatia, President, Asia Pacific, ISG, Lenovo. “These offerings help customers prepare their data, streamline deployment, and extract more value from their existing environments as they advance their AI strategy.”

Features

• New ThinkSystem and ThinkAgile solutions boost performance, security, and efficiency for AI and enterprise workloads
• ThinkSystem DS Series simplifies deployment and management for virtualized mission-critical environments
• ThinkAgile FX Series delivers flexible, multi-vendor HCI with strong investment protection
• Hybrid Cloud Advisory and Deployment Services help organizations unlock AI outcomes from structured and unstructured data

BFSI: A unified platform for banking intelligence

Aurionpro announced AurionAI, a domain-centric Enterprise AI platform for banking and financial services that aims to power the world’s fastest, most trustworthy, and deepest banking AI engine. Positioned to cut through AI hype with demonstrable depth and maturity, AurionAI debuted at Aurionpro’s flagship event, Enterprise AI Unleashed, on December 10, 2025.

“AurionAI emphasizes depth, trust, and production readiness over generic AI superlatives. By aligning AurionAI’s  Enterprise AI Framework, Applied AI capabilities, Banking Intelligence, and breakthrough foundational technology from our global R&D centres under a single, domain-led vision, Aurionpro aims to demonstrate that India can build a world-class deep banking AI engine that is both ambitious and credibly deliverable,” said Ashish Rai, Group CEO, Aurionpro.

Features

• At the core of AurionAI is the Enterprise AI Framework, a unified platform designed to help banks build, orchestrate, and scale AI across the enterprise.
• Application Layer for a unified interface to chat with apps, agents, and systems
• Orchestration Layer for multi-step orchestrated business processes across systems
• Model Layer combining LLMs, fine-tuned models, and predictive decision engines
• Data Layer offering 300+ connectors for core banking systems, CRMs, ERPs, and credit decisioning systems
• This architecture provides a powerful “Intelligence Weave” for banks to build and deploy intelligence safely and at scale within regulated environments. This accelerates time-to-production while maintaining control, compliance, and performance at scale.
• AurionAI integrates directly into Aurionpro’s banking platforms to deliver application-native intelligence to elevate core-banking functions.
• Integro Intelligence brings AI-powered underwriting assistance, automated credit memos, and collateral intelligence across retail, SME, and corporate lending
• iCashpro Intelligence enhances transaction banking with enriched payments, liquidity, and trade workflows for transaction banking, positioning AI agents as digital teammates for bankers and corporates
• Aurionpro’s Lexsi Labs serves as the AI engineering, R&D, and governance backbone of AurionAI, designed to transform capable models into deployable, enterprise-grade intelligence. AurionAI’s engineering platform converts capable, technically scalable models into production-ready intelligence.

Web3 + AI: New Framework for Decentralised AI Compute Network

io.net, a decentralised network for AI compute, launched the Incentive Dynamic Engine (IDE), a fundamental redesign of its tokenomics. Since its launch in June 2024, io.net’s network, with access to tens of thousands of GPUs, has supported over $20 million in compute leases, bringing low-cost and universal access to AI innovators and researchers. The new pioneering infrastructure will enable io.net to align stakeholder incentives, prioritise reliable income for hardware providers & dependable pricing for users and boost the network’s long-term health.

Gaurav Sharma, CEO of io.net, says, “We’re at a crucial juncture for AI: either continue with centralised hyperscalers underpinned by obscure, circular finance, or build decentralised, open markets for compute. DePINs in their current form are not fit for purpose. IDE is a pioneering new model, and is the foundation for the next phase of growth of io.net. GPU providers, users and investors will benefit from the first reliable and open compute network, accurately aligning incentives. Following its implementation next year, IDE will enable startups, researchers and enterprises to develop and deploy AI systems on io.net for the long term.”

Features

Driven by demand, not supply, IDE implements a dynamic control system that continuously adjusts token release and payout levels in response to real network conditions. This novel approach to DePIN tokenomics brings benefits for all involved-

• Reducing income volatility for GPU providers (spanning over 130 countries),
• Incentivising real-world utility rather than speculation through deflationary mechanisms for investors, and
• Building a more resilient decentralised AI compute network for users