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AI NewsIndian Engineers are Jack of All Trades, But FDE Roles Demand Master of AI

Indian Engineers are Jack of All Trades, But FDE Roles Demand Master of AI

6:41 PM IST · September 25, 2026

Indian Engineers are Jack of All Trades, But FDE Roles Demand Master of AI

Beyond deploying AI, a Forward Deployed Engineer needs to understand the industry's business processes and how work actually happens inside a specific company.

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Anthropic Adds Smart Reports, Employee Surveys and Shared Budgets to Claude Enterprise

Anthropic Adds Smart Reports, Employee Surveys and Shared Budgets to Claude Enterprise

Anthropic has rolled out new features for Claude Enterprise as businesses look for ways to get more out of AI tools while keeping costs in check. The update gives administrators a better picture of how employees use Claude, what they think of it and where it could be more useful. It also changes how teams manage their usage budgets, making it easier to share spending allowances instead of relying entirely on individual limits. All three features are now available to Enterprise customers.

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Amazon updates Alexa to help you manage shopping lists and subscriptions and update delivery instructions

Amazon updates Alexa to help you manage shopping lists and subscriptions and update delivery instructions

Ahead of the holiday season, Amazon has added more than 100 new shopping-related capabilities to Alexa, including managing subscriptions and lists, updating delivery instructions, solving payment issues, and answering questions about Prime subscriptions. The update allows you to use Alexa to create lists, register them, see what’s on them, and add or edit items. You can also manage subscriptions with the AI bot — for example, you could ask it to change deliveries for an item to every three months instead of every month — and edit delivery instructions, such as change an address or add drop-off details. Users also can now ask Alexa about their Prime or Audible subscriptions, and ask it questions about billing or payment issues. Amazon has launched various AI-centric shopping features this year, includinga shopping assistantand a way to notify users aboutnew products and offers. The company said that since the start of the year, the number of people using agentic features has grown 8x, and over the last 12 months, over 400 million consumers have used Alexa for shopping.

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Wabi, the AI agent that builds mini apps, now valued at $1.25B after latest round

Wabi, the AI agent that builds mini apps, now valued at $1.25B after latest round

The race to build the winning AI assistant is on, and investors are spreading out their bets. On Thursday, another AI app,Wabi, now describing itself as a “personal agent,”saidit has raised $55 million at a $1.25 billion valuation. Founded by Eugenia Kuyda, who previously founded the AI companion startup Replika, Wabi originally focused on allowing anyoneto build apps using prompts. Last month, however, the startupannounceda pivot of sorts to become an AI messenger. The idea now is that the new Wabi — or Wabi 2.0, as it was called — could build the interfaces you need to get things done as part of its role as your personal AI agent. The company suggests Wabi could be used to build mini apps for things like meal planning, tracking local restaurants, planning date nights, creating fitness plans, designing specialized trivia games, and more. The additional funding indicates that Wabi’s investors agree that its new agentic angle has some potential, especially given the market around AI agents is hot right now, with viral AI agent Instinct pulling in another billionat a $10 billion valuationin September. Even Tolan, which makes a cute, Muppet-like AI companion to help people navigate life,just raised $30 million. “Eugenia has a unique sense for where AI is headed and a track record of great taste in building it,” said Alex Lim, general partner at IVP, which led the new round, in a statement. “She has a clear vision for how people will interact with AI, one that goes far beyond the text box or command line. Wabi is the expression of that vision, and we’re thrilled to support her.” Other participants in the round included Andreessen Horowitz (a16z), Forerunner, Amazon Alexa Fund, and angel investors like Shopify CEO Tobi Lütke, Salesforce CEO Marc Benioff, former Yahoo! head Marissa Mayer, former Twitter CEO Dick Costolo, and one half of The Chainsmokers, Alex Pall.

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Ex-Palantir execs launch Dream with $17M from a16z to build AI world models for construction

Ex-Palantir execs launch Dream with $17M from a16z to build AI world models for construction

Andy Elder and Arjun Mathur were Stanford roommates who both studied computer science before spending a decade at Palantir. Elder led product design for a team of 800 people building software for U.S. defense and intelligence agencies, while Mathur served as a senior vice president in the company’s commercial practice. When the friends decided to build a startup early last year, there was no question they would do it together. Despite having no direct background in architecture, Elder and Mathur were troubled by a growing problem: Fewer buildings are constructed in the U.S. today than afew decades ago, as development costs have surged. “We’ve gone from dial-up internet to superintelligent AI, but our ability to build the physical world around us has actually decreased,” Mathur told TechCrunch. Believing AI can boost productivity across the architecture, engineering, and construction (AEC) industry, they set out to buildDream, a startup developing built world models that automate building design and engineering. Dream has emerged from stealth with $17 million in seed funding led by Andreessen Horowitz, alongside other backers, including SV Angel, XYZ, and Zigg Capital. The startup aims to replace cumbersome, outdated AEC tools like Autodesk’s AutoCAD and Revit. If you sit next to an architect or a structural engineer, you’ll notice that they are still “drawing” every piece of their designs part by part on legacy software, Mathur said. “AI really plays no role in that equation.” While a standard LLM like ChatGPT can generate an image of a building, the result won’t be structurally sound. Dream, by contrast, is grounded in real physics and construction standards. Just as LLMs learn from text, Dream’s world model is trained on more than 100 million square feet of building data gathered from permit archives across the United States. “Our model actually understands what’s within those walls. What materials are used, what the beams are made of, and how much weight they can support,” Elder said. The startup calls its approach “structural cognition” because its model generates structurally precise designs that account for internal building elements like plumbing and HVAC. Dream has already begun selling its product to AEC professionals and developers, who use the model to conceptualize building designs and estimate overall costs, according to the founders. The platform is already deployed across 10 active projects in Texas and California. While Dream isn’t the only company attempting to update AEC software with AI — other startups working on this includeMotif,Snaptrude, andArcol— Elder and Mathur claim that they are the only ones that developed a world model that instantly designs whole buildings. Kimberly Tan, a partner at Andreessen Horowitz, said that while the firm first invested in Dream over a year ago, when the startup model was just an idea, she has been extremely impressed with their progress. “I have not seen anybody take the technical approach,” she said. “They’re doing everything based on their own models.”

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Indian Engineers are Jack of All Trades, But FDE Roles Demand Master of AI