Notion has launched a new developer platform that lets teams connect AI agents with external data sources and custom code directly inside their workspace. The move deepens Notion’s push toward “agentic productivity,” where AI does more than answer questions—running workflows tied to the tools and information teams already use.
US AI finance platform Numero has acquired Chennai startup Royu in a cash-and-stock deal described as a double digit million acquisition, despite Royu being under a year old. Royu’s founders will take senior roles as Numero expands into an “agentic AI worker layer” for CFO offices, aiming to deploy AI across finance functions like bookkeeping, order-to-cash, and month-end closing.
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Ixigo has rolled out a fully AI-native app built to help travelers discover trips, make decisions, and book using natural voice interactions. The upgraded experience centers on an AI travel assistant called TARA, which delivers hyper-personalized recommendations and can handle complex travel queries, aiming to simplify planning end to end.
Silicon Road Ventures has teamed up with former Bank of America India MD Ajay Mahajan to launch a Rs 150-crore alternative investment fund. The vehicle will back early-stage startups building agentic AI solutions for B2B commerce tech, with a focus on supply chain and fintech use cases.
Bengaluru startup SwishX, backed by $2.2 million seed funding, has launched what it calls the world’s first agentic AI platform built for pharma and medtech companies. The system targets faster sales, marketing and distribution outcomes, including AI evaluation of thousands of tenders, analysis of 500+ page documents, and proposal drafting in minutes—aiming to cut decision and execution delays by up to 30%.
Cisco leaders say the barrier to agentic AI production isn’t models or compute, but identity governance. With hospitals and factories letting non-human “agents” access sensitive systems, enterprises often can’t inventory, scope, or revoke those identities fast enough. The result: a trust gap and expanding blast radius, solved through secure delegation, cross-domain telemetry, and network-enforced microsegmentation.
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Alibaba is preparing to integrate its Qwen AI into Taobao, turning product discovery into a conversational experience. Users could chat with the AI to recommend items, compare options, and handle key steps to complete purchases. The company’s push signals how quickly China’s e-commerce players are embedding agentic AI into everyday shopping journeys.
Google is internally testing “Remy,” an always-on AI agent aimed at becoming a proactive 24/7 personal assistant. Unlike standard chatbots, it can monitor information, learn user preferences, and carry out complex tasks independently. The trial is reportedly limited to Google employees, with a possible debut at Google I O 2026—an early sign of “agentic” AI going mainstream.
IBM has partnered with Yotta Data Services to roll out an agentic AI platform designed for Indian government bodies and businesses. The system will run on Yotta’s Shakti Cloud, focusing on secure and compliant AI adoption. The deal also brings IBM’s sovereign core to Yotta’s cloud infrastructure, aiming to strengthen data control as organizations deploy autonomous AI.
IBM and Yotta announced a partnership to deliver an agentic AI platform for enterprises and government in India. The solution will run IBM watsonx Orchestrate on Yotta’s Shakti Cloud and integrate IBM Sovereign Core for “sovereign” operations. It targets regulated rollout by providing continuous compliance monitoring, audit-ready evidence, and governed AI execution across business workflows.
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Adobe says firms are getting agentic AI ready the right way by repairing workflows before rolling out AI tools. In India, Adobe describes its teams as a major engine of innovation, driving nearly one third of global innovation including Firefly AI. The company expects AI-fueled adoption across fashion, jewelry and travel as younger users expand online transactions.
Anthropic has agreed to spend $200 billion with Google Cloud over five years, securing custom TPU capacity and tying itself to one of the biggest AI infrastructure contracts on record. The deal represents more than 40% of Google Cloud’s disclosed revenue backlog, lifts Alphabet shares, and signals the growing shift toward agentic AI systems that need massive compute to scale.
Meta is reportedly building a personalized “agentic” AI assistant for users, powered by its new Muse Spark AI model. The company is also working on an internal AI agent called Hatch. Separately, Meta plans to integrate a shopping tool into Instagram, with a launch targeted before the fourth quarter of this year.
SAP plans to acquire Dremio to strengthen its Business Data Cloud and accelerate agentic AI. The deal is expected to close in Q3 2026, subject to regulatory approval. SAP will embed an Apache Iceberg native lakehouse to unify SAP and non-SAP data for real-time, governed analytics—reducing fragmentation and integration friction. Financial terms were not disclosed.
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Pinecone says the classic RAG-to-vector pipeline fails for agentic AI, where tasks require reassembling context across sources and sessions. The company’s Nexus shifts reasoning to a compilation stage, creating persistent, task-specific knowledge artifacts, plus KnowQL for declarative agent queries. An internal benchmark claims a 98% token reduction, aiming at deterministic grounding and governance-ready outputs.
Salesforce says enterprise AI is failing because workflows weren’t designed for agents—so tasks break, handoffs fail, and costs rise. Its new Agentforce Operations adds a workflow execution “control plane” that turns uploaded processes into explicit, deterministic tasks for specialized agents. The shift also demands clearer governance, ownership, and goal accountability to keep automation reliable.
VB Pulse data for Q1 2026 shows enterprises stopped adding new retrieval layers and instead rebuilt what they already had. Hybrid retrieval intent tripled to 33.3%, while 22% report having no production RAG. Evaluation budgets slid as retrieval optimization surged, driven by reliability and access-control needs that break older “vector only” designs at agentic scale.
India’s IT slowdown, amplified by AI-driven automation and weaker outsourcing demand, is starting to spill into real estate, mortgages, and employment in tech-heavy cities. As companies including Infosys and HCL Technologies curb hiring, banks are rethinking underwriting standards. Rising job risk could translate into tougher loan approvals and altered demand in property markets.
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ReBid has launched an agentic, AI-powered tool designed to help brands benchmark competitor advertising. It analyzes ads across platforms like Meta and Google, automating competitor tracking so marketers can compare messaging, spot creative patterns, and iterate faster. The result is quicker, smarter creative decisions aimed at helping brands stand out in a crowded digital market.
Mistral AI has released Workflows in public preview, positioning it as the missing infrastructure layer that turns enterprise AI from pilots into reliable business operations. Built on Temporal for durable execution, it keeps sensitive data in customer environments, adds deep observability with OpenTelemetry, and is already in production processing millions of executions daily.
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