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AI News5 days only: Bring a partner or colleague and get 50% off a second TechCrunch Disrupt 2026 pass

5 days only: Bring a partner or colleague and get 50% off a second TechCrunch Disrupt 2026 pass

10:26 PM IST · May 4, 2026

5 days only: Bring a partner or colleague and get 50% off a second TechCrunch Disrupt 2026 pass

This is it. The BOGO offer is live. For a limited time, buy one pass toTechCrunch Disrupt 2026andget 50% off a second of the same ticket type. This is a short window to bring someone with you — and get more out of being there. Bring a colleague. A co-founder. A partner. The BOGO offer ends May 8 at 11:59 p.m. PT.After that, prices go up, and you’ll be paying more for the same access.Lock in your 50% off a second pass savings now. No one person can coverDisrupton their own. From October 13–15 in San Francisco,300+ showcasing startupsand 10,000+ founders, investors, and tech leaders come together for three days of 250+ tactical sessions, conversations, and connections that move fast — and change trajectories. When you attend with a colleague, peer, or partner, you don’t just experience more — you make better use of what you hear, who you meet, and: It’s a simple shift, but it changes the outcome.Find your ticket match. Disruptbrings together startup and VC leaders focused on what it takes to build and scale right now. You’ll find value if you’re: The value comes from connecting with people working through the same challenges and learning from those who’ve already done it. Explore theDisrupt events pageto see what’s planned. Who you bring matters — choose the right pass. The buy one, get one 50% off deal applies when youpurchase two of the same ticket typeforDisruptby May 8, making it easy to bring someone from your team. Buy one Investor pass andget a second one for 50% off — a $499 savings. Connect directly with founders, access curated networking, and spend time where deal flow happens. Bringing another investor or partner helps you compare signals and act faster. Buy one Founder pass andget a second one for 50% off — a $399 savings. Meet investors aligned with your stage, challenge your thinking, and hear what’s working from operators. Attending with a co-founder or teammate helps you divide and move quickly. If you’re ready to pitch,Startup Battlefield 200gives you a shot at VC exposure, TechCrunch coverage, and a $100,000 equity-free prize. Buy one Attendee pass andget a second one for 50% off — up to $444 savings. Built for product, engineering, growth, and go-to-market teams, this pass gives you access to stages, breakouts, and networking to optimize your roadmap to revenue systems. Buy one Non-profit pass andget a second one for 50% off — a $214 savings. Connect with builders and investors and explore how emerging tech applies to your work. Bringing a peer helpsturn what you hear into something usable. Buy one Expo+ pass andget a second one for 50% off — a $149 savings. Go behind the scenes of disruptive startups. Use the show floor to scout talent, demo emerging tech, and land your next role at a high-growth company, while covering more ground with your plus-one. The value of this limited-time discount goes far beyond saving on a secondDisruptpass. It’s about deepening relationships and making the most of the time you’ll spend in San Francisco. It’s the difference between attending and turning conversations into deals, hires, and next steps. This offer is only here for five days.Buy one pass and get a second pass for 50% offwhile you still can. Once the offer ends, the opportunity to attend together at this price does too. Buy one pass. Get 50% off the second (same ticket type). Decide who you’re bringing, andlock in your passes before May 8 at 11:59 p.m. PT.Secure your passes now forDisruptand amplify the value you get from being here.

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Publishers will be able to opt out of AI Search, thanks to new regulation

Publishers will be able to opt out of AI Search, thanks to new regulation

The U.K. has just imposed legal guardrails on Google’s AI search onslaught. On Wednesday, Googleannouncedcompliance with the U.K.’s regulatory requirements, which state that the tech giant must offer publishers a way to opt out of being aggregated into AI search. To opt out, publishers will be able to use a new toggle in Google’sSearch Console, a free service that allows website owners to manage their web presence in Google’s search results. Once opted out, the publisher’s site will not be shown in Google’s generative AI Search features, like AI Overviews, AI Mode, or AI Overviews in Discover. (Google, of course, makes a point to note in the same announcement that its AI Overviews now have over 2.5 billion monthly active users, and its AI Mode has surpassed one billion monthly users.) The tech giant says it will initially test the opt-out option with a subset of U.K. publishers before rolling it out globally. The U.K.’s Competition and Markets Authority (CMA)calls the moveto put publishers back in control of how their content is used a “world first,” and points out that it will put publishers, including news organizations, into a stronger position to negotiate content deals with Google for use of their content in AI features. The CMA had first designated Google as having “strategic market status” last October, laying the groundwork for future regulations. InJanuary, it pushed Google to give website publishers a choice as to whether their content is aggregated into AI search features or used to train stand-alone AI models. Alongside the opt-out toggle, Google will also now be required to make sure publisher content in AI features is properly attributed, using clear links. Google suggested that it’s complying with this as well, noting that it had recentlyincreasedthe number of inline links directly within its AI responses, and added website previews to encourage users to click through. Google notes that a website’s decision to opt out of generative AI search features will not be used as a ranking signal for traditional Google search. The company, however, will present new metrics in its Search Console to hopefully sway publishers who could be considering opting out, including impression metrics and other information about which of their pages appear in AI responses, and in which countries. More metrics will be added over time, Google said.

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These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked

These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked

Customer support and service are among the hottest sectors in voice AI right now. But building a product that sounds human and responds without noticeable delay turns out to be much harder in some markets than others — and most of the major players weren’t built with Africa and the Middle East in mind. AethexAI, a startup founded last year to close that gap, has raised $3 million in pre-seed funding led by 4DX Ventures, with participation from Enza Capital, Dorm Room Fund, Mojo Ventures, and Stanford GSB 26 Fund. Individual investors include Stanford faculty, telecom executives, and AI researchers from Anthropic. Rather than using existing orchestration tools likeVapiandLiveKit, the company built its own small model and orchestration layer from scratch to handle the localized dialects of English, French, and Arabic spoken across its target markets — a decision driven, as we’ll get to, by the particular demands of operating in the region. The company is also launching its platform for enterprises to try out its tech and sign up for its services, along with APIs and SDKs for developers to experiment with its models. The startup was founded by Mariama Diallo and Ayooluwa Odemuyiwa. CEO Diallo worked at Goldman Sachs and later joined YC-backed ModelML as a product and growth hire. CTO Odemuyiwa graduated from Caltech, worked at Meta, and enrolled at Stanford Business School before co-founding the company. The pair wanted to build something for emerging markets and started looking for opportunities. Businesses around the world are racing to adopt AI tools to automate parts of their operations. But that doesn’t always work out. In Egypt, a call center automated a significant share of its calls, but rolled the system back because of poor results, the founders found. Several support centers in Africa told them that finding and hiring engineers to automate calls at the right cost was a persistent headache. “The latency and jitter that we saw on automated calls in this region were outrageous. If we had become orchestrators, we might have had to use large models that were hosted outside the region, resulting in higher latency. We realized that in order for this to work, we have to use very small models and cut latency at every step,” Odemuyiwa told TechCrunch about the decision to build the company’s own models and orchestration layer. AI labs that deploy their latest models usually spend millions training them and acquiring data. AethexAI found a solution for both. Rather than chasing the largest possible models, it decided that small models are enough to tackle the latency problem while maintaining accuracy and developed its own Kora series, with parameters ranging from 300 million to 1.7 billion. That’s a fraction of the size of the LLMs, which is precisely the point. To train these models, the startup used anonymized recordings from a call center partner. It also shipped hard drives to radio stations across Africa to collect more audio data. To keep costs down, it built a contributor network of university students to annotate data and pronounce local names. As a result, the startup says, it’s now handling more than 17,000 calls per day. On the business side, the company is taking care to walk clients who are new to voice AI through the process, offering onsite demos and workshops to help them identify the best use cases for automation. “We always tell customers that we cannot be everything for everybody right now. We’re small. When we start talking to a company, we ask them to pick one use case that is the most important to them to start [with],” Diallo said. The startup is open to working across all industries, but at the moment, a big part of its use cases involves calls for debt collection, customer activation, or KYC — Know Your Customer verification, the standard identity-checking process used by banks and telecoms. The company is hiring forward-deployed engineers on a contract basis to serve local markets and building channel partnerships with telecoms providers to handle telephony for voice AI calls. Plug-and-play solutions, it says, simply won’t work here. Walter Baddoo, co-founder and managing partner of 4DX Ventures, argues that the Africa and Middle East market is fundamentally different from the markets most voice AI companies were built to serve. “Enterprises in Africa and the Middle East process roughly three times the call volume of their Western counterparts, as voice is still the dominant channel for customer interaction,” he said. “Incumbent systems were built for Western markets characterized by high-end GPU infrastructure, standard English and European speech environments, and enterprise workflows common in the U.S. and Europe. That creates real gaps when enterprises need systems that handle dialects, code-switching, and informal speech patterns, and that work within their existing telephony infrastructure and their actual price points.” Put another way, while companies like ElevenLabs, Deepgram, Sierra, and Cognigy are expanding globally at a fast pace, the markets they were built for and the markets they are entering aren’t always the same thing. Startups like AethexAI are betting that the gaps — models specialized in local dialects, on-the-ground partnerships, infrastructure built for the region — represent a market opening that the giants have neither the incentive nor the architecture to close.

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