Latest AI News
AI-Native Startup Exaforce Secures $125 Mn to Scale Agentic Security Operations
Beyond geographic expansion, the company intends to bolster its presence in research and development by enhancing multi-model AI capabilities and aiding enterprises in operationalising agentic workflows.
View
Cisco to Cut Nearly 4,000 Jobs in Q4 Amid AI Shift
The networking company plans workforce cuts while increasing investments in AI, silicon, optics, and security.
View
Fuel Crisis Reopens India’s Most Uncomfortable Workplace Debate
Industry observers say many IT companies remain wary of returning to prolonged remote work, especially as they restructure teams and adapt to AI-led changes in business models.
View
The Traditional E-Commerce Interface is Starting to Collapse
Generative AI is changing how consumers discover products online by turning static recommendations into real-time shopping experiences.
View
Microsoft Edge Update Allows Copilot to Access Open Tabs; Journeys Mode Introduced in English
Microsoft has introduced the Copilot's agentic AI capabilities to the Edge mobile app. Now, users will be able to ask queries to Microsoft's AI agent, which will access information for them from active tabs to generate answers. The company is also rolling out the AI-backed Journeys tool for the Edge mobile app, which will organise the user's browsing history into different topics, allowing users to pick up browsing from where they left off. Microsoft recently redesigned the new tab page for the Edge desktop app. It is now bringing the same design to its mobile browser, where users will be able to directly ask questions to Copilot.
View
Anthropic Introduces Claude for Small Business With Ready-to-Run AI Workflows, Connectors
Anthropic, on Wednesday, announced a new offering for smaller enterprises. Dubbed Claude for Small Business, the new solution brings a set of new connectors and ready-to-run workflows to power artificial intelligence (AI)-powered automation within tools that small businesses use the most. With this release, the San Francisco-based AI startup is also diversifying its product and service offerings to serve different enterprise niches. The announcement comes just a week after the company launched a new business venture to provide AI services to enterprises.
View
Clio’s $500M milestone arrives just as Anthropic ups the ante
While AI is now being applied to everything from healthcare to customer support, no single use case has yet been nearly as popular or lucrative as code writing. Jack Newton, co-founder and CEO of Clio, a Canadian law firm management software company, is convinced that legal tech is poised to be the next big winner of the LLMs era. That’s a self-interested claim — 18-year-old Clio is a legal tech company — but the numbers are hard to dismiss. Clio saw its revenue growth accelerate sharply after integrating AI into itsoffering in 2023. The company surpassed $200 million in annual recurring revenue (ARR) in mid-2024, doubled that figure by late last year, and just announced that its ARR reached $500 million. “LLMs are so excellent for coding because all the existing code in the world is a huge repository to train on,” Newton said. “The analogy to legal is really clear.” Law firms hold massive corpuses of contracts and agreements, providing a rich basis of text-based data for AI models to learn from. “Tech companies and lawyers alike are recognizing what a huge amount of upside there is for legal with LLMs,” Newton said. Clio isn’t the only legal tech company seeing a massive revenue surge driven by AI. Four-year-old Harvey, which offers LLM AI for law firms, hit ARR of $190 million by the end of 2025, co-founder and CEO Winston Weinberg sharedon LinkedIn.Harvey’s main rival, Legora, announced last month that it reached$100 million in ARRa mere 18 months after launching its platform. Althoughthe legal tech community's definition of ARR has beenunder scrutiny recently, the opportunity to apply AI to law makes clear sense,given that LLMs can automate the field’s most time-consuming tasks, such as document review and drafting. Legal tech companies aren’t the only ones recognizing how valuable AI could be for lawyers. Earlier this week, Anthropic announced asuite of newlegal-specific features, expanding Claude for Legal -- the law-focused plug-in whosedebutearlier this year sent legal tech stockstumbling. Both Harvey and Legora rely on Claude as a core model among others, which makes the dynamic an uncomfortable one: a key supplier is now also a competitor. For Newton, these are all signs of the vast potential of the legal AI market. He has reason to be optimistic. The Canadian-based Clio was valued at$5 billionwhen it raised a $500 million Series G last November. The company provides law firms with time-tracking, invoicing, and payment tools. It$1 billionacquisition of data intelligence platform vLex last year now allows lawyers to use Clio’s AI for research, as well.
View
Who decides what AI tells you? Campbell Brown, once Meta’s news chief, has thoughts
Campbell Brown has spent her career chasing accurate information, first as a renowned TV journalist, then as Facebook’s first, and only, dedicated news chief. Now, watching AI reshape how people consume information, she sees history threatening to repeat itself. This time, she’s not waiting for someone else to fix it. Her company,Forum AI— which she discussed recently with TechCrunch’s Tim Fernholz at a StrictlyVC evening in San Francisco — evaluates how foundation models perform on what she calls “high-stakes topics” — geopolitics, mental health, finance, hiring — subjects where “there are no clear yes-or-no answers, where it’s murky and nuanced and complex.” The idea is to find the world’s foremost experts, have them architect benchmarks, then train AI judges to evaluate models at scale. For Forum AI’s geopolitics work, Brown has recruited Niall Ferguson, Fareed Zakaria, former Secretary of State Tony Blinken, former House Speaker Kevin McCarthy, and Anne Neuberger, who led cybersecurity in the Obama administration. The goal is to get AI judges to roughly 90% consensus with those human experts, a threshold she says Forum AI has been able to reach. Brown traces the origin of Forum AI, founded 17 months ago in New York, to specific moment. “I was at Meta when ChatGPT was first released publicly,” she recalled, “and I remember really shortly after realizing this is going to be the funnel through which all information flows. And it’s not very good.” The implications for her own children made the moment feel almost existential. “My kids are going to be really dumb if we don’t figure out how to fix this,” she recalled thinking. What frustrated her most was that accuracy didn’t seem to be anyone’s priority. Foundation model companies, she said, are “extremely focused on coding and math,” whereas news and information are harder. But harder, she argued, doesn’t mean optional. Indeed, when Forum AI began evaluating the leading models, the findings weren’t exactly encouraging. She cited Gemini pulling from Chinese Communist Party websites “for stories that have nothing to do with China,” and noted a left-leaning political bias across nearly all models. Subtler failures abound too, she said, including missing context, missing perspectives, straw-manning arguments without acknowledgment. “There’s a long way to go,” she said. “But I also think that there are some very easy fixes that would vastly improve the outcomes.” Brown spent years at Facebook watching what happens when a platform optimizes for the wrong thing. “We failed at a lot of the things we tried,” she told Fernholz. The fact-checking program she built no longer exists. The lesson, even if social media has turned a blind eye to it, is that optimizing for engagement has been lousy for society and left many less informed. Her hope is that AI can break that cycle. "Right now it could go either way," she said; companies could give users what they want, or they could "give people what's real and what's honest and what's truthful." She acknowledged the idealistic version of that — AI optimizing for truth — might sound naive. But she thinks enterprise may be the unlikely ally here. Businesses using AI for credit decisions, lending, insurance, and hiring care about liability, and "they're going to want you to optimize for getting it right." That enterprise demand is also what Forum AI is betting its business on, though turning compliance interest into consistent revenue remains a challenge, particularly given that much of the current market is still satisfied with checkbox audits and standardized benchmarks that Brown considers inadequate. The compliance landscape, she said, is "a joke." When New York City passed the first hiring bias law requiring AI audits, the state comptroller found more than half had violations that went undetected. Real evaluation, she said, requires domain expertise to work through not just known scenarios but edge cases that "can get you into trouble that people don't think about." And that work takes time. "Smart generalists aren't going to cut it." Brown — whose company last fall raised$3 millionled by Lerer Hippeau — is uniquely positioned to describe the disconnect between the AI industry's self-image and the reality for most users. "You hear from the leaders of the big tech companies, 'This technology is going to change the world,' 'it's going to put you out of work,' 'it's going to cure cancer,'" she said. "But then to a normal person who's just using a chatbot to ask basic questions, they're still getting a lot of slop and wrong answers." Trust in AI sits at extraordinarily low levels, and she thinks that skepticism is, in many cases, justified. "The conversation is sort of happening in Silicon Valley around one thing, and a totally different conversation is happening among consumers."
View
DoT Signs ₹2,432 Crore BharatNet Deal to Connect Rural Andhra Pradesh
Under the BharatNet rollout, the state will upgrade existing fibre infrastructure, connect newly created Gram Panchayats and extend internet access to nearly 4,000 villages on demand.
View
Anthropic Mythos Is Forcing Big Tech To Rethink Cybersecurity
As AI becomes more capable of identifying vulnerabilities and analysing attacks, companies are beginning to use it for defence as well.
View
Why This VC Firm Signed a $6 Million Cheque to Replace Chinese Silicon
The IAN Group's recent $6 million investment in BigEndian reflects hopes of reducing reliance on foreign electronic hardware.
View
Notion just turned its workspace into a hub for AI agents
Productivity software makerNotionis stepping into the agentic era. In a live-streamedproduct announcementon Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database. By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases. In February, Notion first launched itsCustom Agents— AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says. However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. “It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.” Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. You don't even have to write the code. The company points out that your preferred AI coding agent can do it for you. The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases -- and keep the data current. Zhao noted that this means that Notion's users can now "use your Notion database as a sheer canvas to power both your workflows and your agents." Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP -- short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services -- isn't enough. Another addition allows Notion's users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion's own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. There's an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they've built specifically for their company's needs. Developers and agents interact with Notion's new Developer Platform via theNotion CLI, a command-line tool for developers, available on the company's Business and Enterprise Plans. The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure. It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms. "Any data, any tool, any agent -- that's the big picture for the Notion Developer Platform," Zhao said.
View