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Tomorrow at 8 a.m. PT, it all begins — 10,000+ founders, investors, and tech operators will gather at San Francisco’s Moscone West forTechCrunch Disrupt 2026for three days of ideas, connections, and startups shaping what comes next. If you’ve been waiting to decide, the wait is over — this is your last 24 hours to secure ticket savings of up to $100. Register now to save on your pass, plus bring your co-founder, investor, colleague, or peer at 50% off a second pass of the same ticket type. Bringing a group of four or more? Unlock additional savings with community passes. If you’ve been laid off, you can still join us with a last-minuteExpo+ Pass for just $75. Come to the Expo Hall to discover 300+ exhibiting emerging startups, meet founders, see new products, and make connections across the startup ecosystem. The Expo Hall is where all 10,000+ leaders converge. Come for the200+ sessionsacross six stages, interactive roundtables, and Q&A breakouts to hear from250+ tech leaderswho’ve made waves in the ecosystem, dig into the issues shaping the industry, and watch 20 Startup Battlefield finalists compete live on the Disrupt Stage for the $100,000 prize. Or make the most of both and build your own Disrupt agenda across the three days. That’s what sets Disrupt apart: Founders looking for investors. Investors looking for promising startups. Department heads searching for solutions. Tech leaders seeking fresh ideas. However you choose to experience Disrupt, you’ll be surrounded by people building, funding, buying, and shaping what comes next. And with AI-powered matchmaking in the event app, it’s easier than ever to make meaningful connections that spark new opportunities. TechCrunch Disrupt 2026starts tomorrow, October 13, at 8 a.m. PT, and runs through October 15 at Moscone West.Save up to $100 on your pass, plus get a second pass at 50% off! Bringing a group of four or more? Unlock even more savings. Recently laid off? Join Disrupt with a$75 Expo+ Pass. Don’t pay more at the door for the same event.Get your Disrupt 2026 pass now.
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Nearly two decades ago, a young college student wrote his final thesis about software capable of generating design documents for school buildings. Al Dram was studying architecture — following in the footsteps of his parents and grandfather — but it was technology that really intrigued him. There was just one problem: The technology his idea required didn’t exist yet. “Then ChatGPT came along,” said Dram, recalling when OpenAI released the generative AI chatbot that uses large language models (LLMs) in November 2022. His old idea suddenly seemed a lot more possible. Within six months, he launched the concept of Blueprints AI, a startup that uses AI to produce code-compliant and permit-ready architectural construction blueprints in minutes from a 2D sketch or PDF. Blueprints AI, which Dram officially incorporated in 2025 in Santa Monica with co-founder Coco Cao, was selected for the2026 Startup Battlefield 200, a cohort of promising early-stage startups that have earned a spot to exhibit at this year’sTechCrunch Disrupt, taking place this week from October 13 to 15 in San Francisco. During that 20-year lead-up to Blueprints AI, Dram earned his bachelor’s and master’s degrees in architecture from the University of Tehran and completed two years of Ph.D. coursework on digital design at the European Graduate School in Switzerland. He moved to the United States and opened an architecture firm in 2018 called Drams Architects. Then, after obtaining a general contractor’s license, he added a construction business in 2021. Dram should have been satisfied. He wasn’t. “I was saying, okay, maybe I can build new projects that change people’s life in that area, but it wouldn’t be a big impact,” he said. “What makes me very excited about technology is the impact, the hours saved, the energy saved of people doing the same thing over and over and over.” Blueprints AI will unveil a more capable second-generation version of its software at Disrupt. Dram and Cao say it will make a big impact because it takes over the repetitive drafting work that fills most of an architect’s day. “It will make better spaces for people because now architects have the time to design,” said Dram. He said architects spend about 80% of their time on drafting and only 20% on design. “I want to flip that to be 20-80.” Dram and Cao met at an AI conference several years ago and combined their skills to build the company. Cao, a data scientist from Hong Kong, handles sales and go-to-market strategy as chief commercial officer. The pair trained their models using eight years of approved drawing sets from Dram’s design and construction firm, which is still in business. Its first-generation software produces architectural construction documents and costs between $3,200 to $8,500 a month, depending on the plan. Custom pricing for enterprises is also available. The startup’s second-generation software will deliver a considerable upgrade. Customers can start with a description or sketch of a project and create blueprints for every aspect of a building at once, including architecture, structural, mechanical, electrical, plumbing, and interior design. Version 2 allows users to design and make changes to the project, an upgrade over the first iteration. Importantly, one design change updates the entire project and is checked against local building codes. Early customers are already using the second version, and Dram said it will become publicly available this week. The startup is already working on a third version of its software that will add in structural analysis and electrical panel design. The technology doesn’t replace licensed architects, according to the co-founders. Licensed professionals still review the documents and affix their seal before submitting them for permits. The judgment stays human, they say. Blueprints AI is targeting two groups with its new software. Professional architecture, engineering, and design firms make up one group, while developers and real estate owners make up another. The startup offers its software as a subscription and may add a one-time flat-fee option for those who just want it for a single project. To learn more about Blueprints, catch hundreds of other startups, and learn from headliners like RJ Scaringe of Rivian and Amjad Masad of Replit,join us at Disrupt,kicking off Tuesday in downtown San Francisco.

Microsoft President Brad Smith is calling for urgent regulation of AI, and his argument is that consumer products like milk and washing machines have more oversight than the companies building artificial intelligence. On arecent BBC podcast, Smith called AI both a “weapon and a tool” that is putting the world’s cybersecurity at risk, and said the “moment has arrived” to institute global safety rules. Smith also said the U.K., and not the U.S. or European Union, is best placed to lead on global safety rules. Britain’s AI Security Institute, launched in 2023, receives access to major models from U.S. frontier labs before they are deployed and has quickly become a leader in AI safety testing. That role has been under threat in recent weeks, with U.S. President Donald Trump warning against “globalist” organizations, which he claims are interfering with American companies. Last month, hereportedlyasked Anthropic and OpenAI to withhold new models from British testers, but AISIconfirmed on Mondaythat it is able to access and test the latest models. Despite the president’s pushback, however, Smith argued the U.K. can regulate AI in ways that the U.S. cannot. “In Washington, D.C., people don’t look at the U.K. and they don’t look at London the way they look at Brussels,” he told the BBC. “That’s a strength.” His comments come amid rallying cries from tech leaders, includingAnthropic’s Dario Amodeiand OpenAI’s Sam Altman, to slow the pace of AI development in the wake of several incidents where AI agents went rogue. Last month, Trump hostedtech leadersof companies including OpenAI, Anthropic, Nvidia, AMD, SpaceX, Meta and Google at the White House to discuss AI safety. They signed a “morally binding” document in which they agreed to work with “independent auditors” to assess the safety and capabilities of their AI models. Smith says the document is a “good step,” but it stops short of the type of regulation that is necessary. The problem with voluntary self-regulation, he said, is that the “good companies” will comply. “It’s the companies that are not as responsible that you need to worry about,” he said. Smith outlined several AI safety rules he’d like to see put into place, like a legal obligation to alert an organization if its system was breached by rogue AI agents. He also appears to be in favor of AI labs getting the approval of outside evaluators before an AI product is released, and spoke positively about kill-switches to pause or slow down AI if humans lose control of it. “Let’s speak calmly, maybe even softly, but firmly, and start to bring people together,” Smith said. “I hope that’s the role we can play as a company. I hope that’s the role the U.K. can play as a country.”

The U.S. Air Force will buy data collected byWindBorne Systems‘ fleet of autonomous weather balloons under a new contract that could be worth nearly $50 million to the startup. WindBorne currently has about 700 weather balloons flying around the globe, collecting atmospheric sensor readings that the company sells to customers and also feeds into its own AI weather forecasting model. WindBorne, founded in 2015 and based in Redwood City, Calif., is one of the first organizations to directly feed empirical data into a deep-learning weather model. The company has worked closely with the U.S. government, particularly the National Weather Service and the U.S. Air Force and Navy, but this is the single largest contract the company has participated in. The contract is worth up to $49 million, but the Air Force pays only as it needs data. It can place orders for specific regions at specific times. So far, it has ordered $1.7 million worth, and executives expect more orders to follow. “This is largely a vehicle through which continued growth of the constellation can be supported, as well as some work on research and development to continue to improve the hardware and performance of the balloons,” WindBorne co-founder and CTO Andrey Sushko told TechCrunch. He adds that the contract, which was awarded without competitive bidding, is “a determination by the government that for this capability of collecting global data, we were the only company able to provide it in the way that met their needs for these operations.” WindBorne CEO John Deantold TechCrunchin August that the company had raised a $37 million Series B round to continue scaling its business. Earlier this summer, the companyreleasedthe latest version of its forecasting model, WeatherMesh 6, whichit saysprovides more accurate forecasts than the traditional model run by the European Centre for Medium-Range Weather Forecasts (ECMWF), which simulates the atmosphere using the laws of physics. Since the arrival of transformer model architectures and the ECMWF’s release of a massive weather dataset a few years ago, AI weather forecasting has become one of the more productive uses of deep-learning technology. Meteorologists previously relied on expensive supercomputers running detailed equations that approximate how the atmosphere behaves. Now, end-to-end learning can ingest decades of weather data and issue predictions more quickly. Models built by frontier labs and government agencies areproving more accuratethan traditional forecasts, although it is still a jagged frontier, with both types of forecasts required to enable useful understanding of the weather. Google DeepMind’slatest weather modeloffers important new capabilities, and its cyclone forecasting tools are becomingincreasingly centralto how the US government responds to hurricane season. In August WindBorne became the first organization to send an unpowered flight system — one with no engine — to collect data in theeye of a typhoon. The company maneuvers its balloons by adjusting their altitude, bleeding air, or dropping sand carried as ballast, to send the vehicles into winds that take them where they need to go. “That’s a pretty novel step, and the two ingredients for that are one, having good wind and weather models, and knowing how to navigate them; and two, having a large enough constellation that you have balloons in the right places,” Sushko said. “It’s one of the first times that a deep-learning model was used for actual operational decisions.”

One of the core promises of AI is that the more it knows about a person, the better it will be able to assist them with tasks and make appropriate suggestions, which, if you’ll believe the tech companies,requiresapps and devices to listen, watch or record users’ activity all the time and gather all possible context. There’s obviously privacy and data security concerns with anything that’s collecting data about you continuously. But startups are building such apps undeterred anyway, arming themselves with the belief that the market for personalized assistance is big enough to swallow such concerns. Former Plaud exec Peter Mo is buildingAmbito do something similar. The app aims to provide real-time intelligence and insights to people by listening to them all the time. The company said on Monday that it has raised $26 million across multiple funding rounds led by Luminous Ventures, which has backed companies like Meituan and Unitree Robotics, and Original Design Manufacturer (ODM) Huaqin. Ambi is also releasing apps for iPhones, Macs and Apple Watch. These apps act like meeting note-takers, but users can choose to have them listening so they can capture context all day. Meeting note-taking companies have been working to automate tasks that follow once calls are done, based on the summaries and action items they gather during the conversation, and using multitudes of connectors to software systems. Ambi wants to take this a step further by having its agent start the work during the meeting itself. The company’s promise is that its AI agent can proactively give you suggestions or surface relevant knowledge while you are in a meeting, based on your calendar, meetings, knowledge base, and web data. Users can also start a task on one device and continue it on another. “The way we interact with intelligence is limited. Often the intelligence is trapped on the screen, and if you use hardware like Plaud, you need to wait for recording to transfer to the phone, upload to the cloud, and get intelligence after processing. That’s why we are building Ambi to use AI anytime and anywhere,” the company’s co-founder and CEO, Mo, told TechCrunch. The company has ambitions to capture more information. Its upcoming desktop app will be able to look at the work that users do and store important parts in its memory to give more personalized suggestions. Apps likeLittlebirdorMinimialready do something similar. The startup is also planning to launch its own hardware device, which will have a screen, a speaker, a camera, and microphones to capture context and display information. Ambi’s launch comes amidst growing concerns around AI devices that don’t have enough indicators to suggest they are capturing data on people around the user. It is not clear if Ambi’s apps or its upcoming device will have enough indicators to alert third-parties that their conversations are being recorded if the user doesn’t disclose their use of Ambi’s tech. Somemeeting note-takershaveeven been suedbecause their tech recorded people’s conversation and data without their consent. Plus, the recent release of Apple’s Voice Intelligence feature, which transcribes speech continuously,has raised privacy concerns. Mo said that users can turn off ambient data capture on Ambi’s apps and devices at any time, and the feature is off by default. The startup said it doesn’t store any recordings of users and encrypts the data, but it didn’t specify what kind of encryption it uses. Despite these measures, the onus of declaring ambient capture is still on the users. He classified this as an industry-wide problem. “We have to inform our users that they have to tell others about ambient capture. We, as an industry, haven’t solved this problem [of disclosure]. We have tried to put the information about disclosure in every place possible, but if users try to hide the capture, we can’t just solve the problem,” he said. Ambi currently has over 50 staff across offices in San Francisco, Beijing, Shanghai and Shenzhen. The company is hiring for its go-to-market function and AI engineers for working on speech recognition models.

The funding will support acquisitions as the Bengaluru-based company expands its semiconductor engineering capabilities and global presence.
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Vertiv noted that the deployment at CapitaLand’s Mumbai facility marks India’s first direct-to-chip high-density liquid cooling installation.
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At Cypher 2026, panellists say AI is exposing which of India's 1,700+ GCCs are cost-arbitrage hubs and which truly own decisions.
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AI sovereignty is not about building everything at home, says Anuraag Saxena. It is about ensuring that geopolitical decisions cannot cut off access to compute, talent and markets.
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Claude and Claude Code will enter HCLTech's engineering workflows, while HCLSoftware plans to incorporate Claude into selected cybersecurity and enterprise products.
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The company said its streaming speech-to-text model recorded an 8.85% semantic word error rate and 18% fewer meaning-changing errors than Sarvam Saaras v4.
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DPDzero started by selling loan collections software. It soon found the bigger opportunity in running the collections process itself, combining AI, data, and human agents.
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