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Google Rolls Out Gemini Thinking Levels Across Platforms With 'Extended' Thinking Mode for All Users
Google has started rolling out thinking levels for multiple Gemini AI models across platforms, including the Android and iOS apps, a company executive has announced. The new modes are available to all paid and free users in select global markets, including India. The Gemini app now features up to three thinking levels, depending on the Gemini 3.5 and 3.1 series models. The list of levels also includes a new “Extended Thinking” mode, which lets Gemini take more time before providing an AI-generated answer to users. According to reports, this is expected to improve the quality of responses the Gemini app provides.
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Coralogix raises $200M on bet that someone needs to watch the AI agents
Coralogix, a Boston-headquartered software monitoring startup founded in Israel, has raised $200 million in a new funding round, betting that the rise of AI agents will drive demand for a new generation of tools to monitor, troubleshoot, and manage increasingly autonomous software systems. The Series F financing comes just 11 months after Coralogixraised $115 million in a Series E round, a pace that reflects just how quickly investor appetite for AI infrastructure companies has accelerated. The new round values the startup at $1.6 billion post-money and was led by Advent and the Canada Pension Plan Investment Board (CPPIB), with participation from Greenfield Partners and Brighton Park Capital. The company has now raised a total of $550 million to date. The investment comes as software companiesrace to adapt to the rise of AI agents, software systems that can autonomously write code, investigate problems, and complete tasks that would previously have required a human engineer. Coralogix is among a growing number of infrastructure firms betting that as AI systems move into production, demand will rise for tools that can monitor their behavior, troubleshoot failures, and provide the operational data needed to keep them running reliably. (The more autonomous software you deploy, the more you need to know when something goes wrong and why.) Founded in 2014, Coralogix helps companies monitor the health and performance of software systems by collecting and analyzing operational data such as logs, metrics, and traces — essentially a continuous record of what a software system is doing and how it’s behaving. The platform is used by more than 5,000 customers worldwide, including IBM, Tradeweb, and JFrog, to detect outages, investigate incidents, and optimize applications. The observability industry, where Coralogix competes with the likes of Datadog, New Relic, and Splunk, is being reshaped by the rise of AI. Vendors are increasingly embedding AI into monitoring and incident-response workflows as enterprises deploy more AI-powered applications and agents. The shift is already changing how customers interact with Coralogix’s platform, co-founder and CEO Ariel Assaraf (pictured above, right) said in an interview. More than half of the startup’s enterprise customers now use either its AI agent, Olly, or their own AI models through command-line and agentic interfaces to investigate incidents and query operational data, he said. “The interface layer is slowly getting eroded,” Assaraf told TechCrunch, observing that engineers are increasingly interacting with software through AI assistants and command-line tools rather than traditional dashboards. “Most of the usage is going to be around, ‘How do I connect my LLM to this? How do I operate this through my CLI?’” In plain terms, his customers are less interested in logging into a dashboard and more interested in asking an AI assistant what’s wrong. The shift has coincided with strong growth for Coralogix. The startup grew revenue by more than 60% over the past year and now counts about 30 customers spending more than $1 million annually, Assaraf said, as it expands further into the enterprise market. The company surpassed $100 million in annualized revenue more than a year ago, Assaraf added, though he declined to disclose current figures The startup employs more than 600 people globally, with about 100 based in India, home to its third-largest office after the U.S. and Israel. The India operation, Assaraf said, has evolved into a regional hub supporting customers across Asia while helping Coralogix expand into large domestic enterprises, including financial institutions. Coralogix did not raise because it needed additional runway, Assaraf said, adding that the funding would be used to accelerate investment in AI-focused products, security offerings and global expansion. “In the AI era, execution and speed matter more than any point-in-time valuation,” he said. “We wanted to accelerate, expand, and take a further step into this AI game that we believe we’re leading in our space.” Coralogix does not currently expect to raise additional capital and is working toward profitability over the next few years, Assaraf said. The company is also preparing to operate with the financial discipline of a public company, he said, though he stopped short of committing to a timeline for an initial public offering.
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Meta’s AI agent for WhatsApp Business is now available globally
For years, WhatsApp has been a communication layer for businesses of all sizes around the world. Meta is now infusing AI into that layer in a bid to turn WhatsApp into a viable piece of workflow software for small and medium businesses. The company on Wednesday said it is making its customer support AI bot, now known as Meta Business Agent, available globally within WhatsApp. The launch comes as Meta has spent nearly two years testing AI agents in WhatsApp Business for customer support in countries like India and Mexico. Meta said the AI agent can answer customer questions, recommend products, book appointments, qualify sales leads, and reroute queries to a person if needed. The company is also making the bot available within Instagram DMs. Meta said it is testing a way for the Business Agent to provide daily briefings of chats that occurred overnight, and provide insights. The company is testing this feature with select accounts on WhatsApp Business, Instagram Pro, Messenger and Meta Business Suite. The company said it’s working to add capabilities like doing market research, highlighting product features, managing users’ calendars, and connecting with tools to extract competitive insights. Meta said it’s also working to enable the Agent to surface businesses when you search for one or share contact details in chat. And, it is building a platform to let larger enterprises create custom agents that can connect to systems like Shopify, Zendesk and Shopee. Meta is planing to charge businesses for using this AI agent by including it in some tiers of its WhatsApp Business Premium subscription. The company noted that large businesses will pay for the agent based on how many tokens they use. This is critical for WhatsApp, which has relied on businesses paying for messaging and click-to-WhatsApp ads.
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Neo4j to Launch ‘Alternative to Palantir Gotham’ By Acquiring Graph Aware
The graph database company plans to combine GraphAware’s intelligence analysis software with its own graph platform to target government, defence and law-enforcement customers seeking sovereign AI deployments.
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