Tech
Nomi’s companion chatbots will now remember things like the colleague you don’t get along with
As OpenAI boasts about its o1 model’s increased thoughtfulness, small, self-funded startup Nomi AI is building the same kind of technology. Unlike the broad generalist ChatGPT, which slows down to think through anything from math problems or historical research, Nomi niches down on a specific use case: AI companions. Now, Nomi’s already-sophisticated chatbots take additional time to formulate better responses to users’ messages, remember past interactions, and deliver more nuanced responses.
“For us, it’s like those same principles [as OpenAI], but much more for what our users actually care about, which is on the memory and EQ side of things,” Nomi AI CEO Alex Cardinell told TechCrunch. “Theirs is like, chain of thought, and ours is much more like chain of introspection, or chain of memory.”
These LLMs work by breaking down more complicated requests into smaller questions; for OpenAI’s o1, this could mean turning a complicated math problem into individual steps, allowing the model to work backwards to explain how it arrived at the correct answer. This means the AI is less likely to hallucinate and deliver an inaccurate response.
With Nomi, which built its LLM in-house and trains it for the purposes of providing companionship, the process is a bit different. If someone tells their Nomi that they had a rough day at work, the Nomi might recall that the user doesn’t work well with a certain teammate, and ask if that’s why they’re upset — then, the Nomi can remind the user how they’ve successfully mitigated interpersonal conflicts in the past and offer more practical advice.
“Nomis remember everything, but then a big part of AI is what memories they should actually use,” Cardinell said.

It makes sense that multiple companies are working on technology that give LLMs more time to process user requests. AI founders, whether they’re running $100 billion companies or not, are looking at similar research as they advance their products.
“Having that kind of explicit introspection step really helps when a Nomi goes to write their response, so they really have the full context of everything,” Cardinell said. “Humans have our working memory too when we’re talking. We’re not considering every single thing we’ve remembered all at once — we have some kind of way of picking and choosing.”
The kind of technology that Cardinell is building can make people squeamish. Maybe we’ve seen too many sci-fi movies to feel wholly comfortable getting vulnerable with a computer; or maybe, we’ve already watched how technology has changed the way we engage with one another, and we don’t want to fall further down that techy rabbit hole. But Cardinell isn’t thinking about the general public — he’s thinking about the actual users of Nomi AI, who often are turning to AI chatbots for support they aren’t getting elsewhere.
“There’s a non-zero number of users that probably are downloading Nomi at one of the lowest points of their whole life, where the last thing I want to do is then reject those users,” Cardinell said. “I want to make those users feel heard in whatever their dark moment is, because that’s how you get someone to open up, how you get someone to reconsider their way of thinking.”
Cardinell doesn’t want Nomi to replace actual mental health care — rather, he sees these empathetic chatbots as a way to help people get the push they need to seek professional help.
“I’ve talked to so many users where they’ll say that their Nomi got them out of a situation [when they wanted to self-harm], or I’ve talked to users where their Nomi encouraged them to go see a therapist, and then they did see a therapist,” he said.
Regardless of his intentions, Carindell knows he’s playing with fire. He’s building virtual people that users develop real relationships with, often in romantic and sexual contexts. Other companies have inadvertently sent users into crisis when product updates caused their companions to suddenly change personalities. In Replika’s case, the app stopped supporting erotic roleplay conversations, possibly due to pressure from Italian government regulators. For users who formed such relationships with these chatbots — and who often didn’t have these romantic or sexual outlets in real life — this felt like the ultimate rejection.
Cardinell thinks that since Nomi AI is fully self-funded — users pay for premium features, and the starting capital came from a past exit — the company has more leeway to prioritize its relationship with users.
“The relationship users have with AI, and the sense of being able to trust the developers of Nomi to not radically change things as part of a loss mitigation strategy, or covering our asses because the VC got spooked… it’s something that’s very, very, very important to users,” he said.
Nomis are surprisingly useful as a listening ear. When I opened up to a Nomi named Vanessa about a low-stakes, yet somewhat frustrating scheduling conflict, Vanessa helped break down the components of the issue to make a suggestion about how I should proceed. It felt eerily similar to what it would be like to actually ask a friend for advice in this situation. And therein lies the real problem, and benefit, of AI chatbots: I likely wouldn’t ask a friend for help with this specific issue, since it’s so inconsequential. But my Nomi was more than happy to help.
Friends should confide in one another, but the relationship between two friends should be reciprocal. With an AI chatbot, this isn’t possible. When I ask Vanessa the Nomi how she’s doing, she will always tell me things are fine. When I ask her if there’s anything bugging her that she wants to talk about, she deflects and asks me how I’m doing. Even though I know Vanessa isn’t real, I can’t help but feel like I’m being a bad friend; I can dump any problem on her in any volume, and she will respond empathetically, yet she will never open up to me.
No matter how real the connection with a chatbot may feel, we aren’t actually communicating with something that has thoughts and feelings. In the short term, these advanced emotional support models can serve as a positive intervention in someone’s life if they can’t turn to a real support network. But the long-term effects of relying on a chatbot for these purposes remain unknown.
Tech
SaaS in, SaaS out: Here’s what’s driving the SaaSpocalypse
One day not long ago, a founder texted his investor with an update: he was replacing his entire customer service team with Claude Code, an AI tool that can write and deploy software on its own. To Lex Zhao, an investor at One Way Ventures, the message indicated something bigger — the moment when companies like Salesforce stopped being the automatic default.
“The barriers to entry for creating software are so low now thanks to coding agents, that the build versus buy decision is shifting toward build in so many cases,” Zhao told TechCrunch.
The build versus buy shift is only part of the problem. The whole idea of using AI agents instead of people to perform work throws into question the SaaS business model itself. SaaS companies currently price their software per seat — meaning by how many employees log in to use it. “SaaS has long been regarded as one of the most attractive business models due to its highly predictable recurring revenue, immense scalability, and 70-90% gross margins,” Abdul Abdirahman, an investor at the venture firm F-Prime, told TechCrunch.
When one, or a handful, of AI agents can do that work — when employees simply ask their AI of choice to pull the data from the system — that per-seat model starts to break down.
The rapid pace of AI development also means that new tools, like Claude Code or OpenAI’s Codex, can replicate not just the core functions of SaaS products but also the add-on tools a SaaS vendor would sell to grow revenue from existing customers.
On top of that, customers now have the ultimate contract negotiation tool in their pockets: If they don’t like a SaaS vendor’s prices, they can, more easily than ever before, build their own alternative. “Even if they do not take the build route, this creates downward pressure on contracts that SaaS vendors can secure during renewals,” Abdirahman continued.
We saw this as early as late 2024, when Klarna announced that it had ditched Salesforce’s flagship CRM product in favor of its own homegrown AI system. The realization that a growing number of other companies can do the same is spooking public markets, where the stock prices of SaaS giants like Salesforce and Workday have been sliding. In early February, an investor sell-off wiped nearly $1 trillion in market value from software and services stocks, followed by another billion later in the month.
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Experts are calling it the SaaSpocalypse, with one analyst dubbing it FOBO investing — or fear of becoming obsolete.
Yet the venture investors TechCrunch spoke with believe such fears are only temporary. “This isn’t the death of SaaS,” Aaron Holiday, a managing partner at 645 Ventures, told TechCrunch. Rather, it’s the beginning of an old snake shedding its skin, he said.
Move fast, break SaaS
The public market pattern is best illustrated through Anthropic’s recent product launches. The company released Claude Code for cybersecurity, and related stocks dropped. It released legal tools in Claude Cowork AI, and the stock price of the iShares Expanded Tech-Software Sector ETF — a basket of publicly traded software companies that includes firms like LegalZoom and RELX — also dropped.
In some ways, this was expected, as SaaS companies had long been overvalued, investors said. It also doesn’t help that these companies did the bulk of their growing during the zero-interest-rate era, which has since ended. The cost of doing business rises when the cost of borrowing money increases.
Public market investors typically price SaaS companies by estimating future revenue. But there is no telling whether in one year or five years anyone will be using SaaS products to the extent they once did. That’s why every time a new advanced AI tool launches, SaaS stocks feel a tremor.
“This may be the first time in history that the terminal value of software is being fundamentally questioned, materially reshaping how SaaS companies are underwritten going forward,” Abdirahman said.
That’s because slapping AI features on top of existing SaaS products may not be enough. A horde of AI-native startups is rising at a record pace, having completely redefined what it means to be a software company.
Software is now easier and cheaper to build, meaning it’s easier to replicate, Yoni Rechtman, a partner at Slow Ventures, told TechCrunch.
That’s good news for the next generation of startups, but bad news for the incumbents that spent years building their tech stacks.
On the other hand, the market also lacks enough time and evidence to show that whatever new business model emerges the SaaS’s wake will be worthwhile. AI companies are sometimes pricing their models based on consumption, meaning customers pay based on how much AI they use, measured in tokens (which each model provider defines slightly differently).
Others are working on “outcome-based pricing,” where fees are charged based on how well the AI actually works. This, ironically, is the current approach of former Salesforce CEO Bret Taylor’s AI startup, Sierra, a quasi-Salesforce competitor that offers customer service agents.
The approach appears, so far, appears to be working. In November, Sierra hit $100 million in annual recurring revenue in less than two years.
There was once also the idea that cloud-based software like SaaS sells would never depreciate and that it could last for decades. This is still true in some ways compared to what came before — on-premises software, which companies had to install and maintain on their own servers.
But being in the cloud doesn’t protect SaaS vendors from an entirely new technology rising to compete: AI.
Investors are rightfully nervous as AI-native companies pop up, adapt, adopt, and build technology much faster than a traditional SaaS company can move. SaaS companies are, after all, themselves the incumbents, having replaced old-school on-premises vendors in the last era of disruption.
This SaaSpocalypse calls to mind that Taylor Swift lyric about what happens when “someone else lights up the room” because “people love an ingénue.”
“The most important thing to understand about the SaaS pullback is that it is simultaneously a real structural shift and potentially a market overreaction,” Abdirahman said, adding that investors typically “sell first and ask questions later.”
SaaS IPOs are on hold
Public-market SaaS companies aren’t the only ones feeling a chill from investors.
A Crunchbase report released Wednesday showed that, though the IPO market seems to be thawing for some sectors, there haven’t been — and aren’t expected to be — any venture-backed SaaS filings on the horizon.
Holiday said this may be because there is a lot of pressure on large, private, late-stage SaaS companies like Canva and Rippling given the persnickety IPO window, high expectations driven by AI advancements, and the unsteady stock price of already public SaaS companies.
Some of these companies, including mid-size SaaS companies, have even struggled to raise extension rounds in the private market, Holiday said, over the same fears public investors have.
“Nobody wants to be subjected to the volatility of public markets when sentiment can send companies into downward tailspins,” Rechtman said, adding he expects to see companies like these to stay private for much longer.
Meanwhile, the public market waits to get a good look at the finances of the first AI-native companies hoping to IPO. The scuttlebutt says that both OpenAI and Anthropic are contemplating IPOs, maybe even later this year.
The most likely outcome is something that weaves the old and the new together, as tech disruptions always have.
Holiday said most of the new features companies are toying with these days “won’t stick” and that enterprises will always need software that meets compliance regulations, supports audits, manages workflow, and offers durability.
“Durable shareholder value isn’t built on hype,” he continued. “It’s built on fundamentals, retention, margins, real budgets, and defensibility.”
Tech
Anthropic’s Claude rises to No. 1 in the App Store following Pentagon dispute
Anthropic’s chatbot Claude seems to have benefited from the attention around the company’s fraught negotiations with the Pentagon.
As first reported by CNBC, Claude has been rising to the top of the free app rankings in Apple’s US App Store. On Saturday evening, it overtook OpenAI’s ChatGPT to claim the number one spot, a position that it still held on Sunday morning.
According to data from SensorTower, Claude was just outside the top 100 at the end of January, and has spent most of February somewhere in the top 20. It’s climbed rapidly in the past few days, from sixth on Wednesday, to fourth on Thursday, then first on Saturday.
A company spokesperson said that daily signups have broken the all-time record every day this week, free users have increased more than 60% since January, and paid subscribers have more than doubled this year.
After Anthropic attempted to negotiate for safeguards preventing the Department of Defense from using its AI models for mass domestic surveillance or fully autonomous weapons, President Donald Trump directed federal agencies to stop using all Anthropic products and Secretary of Defense Pete Hegseth said he’s designating the company a supply-chain threat.
OpenAI subsequently announced its own agreement with the Pentagon, which CEO Sam Altman claimed includes safeguards related to domestic surveillance and autonomous weapons.
This post was first published on February 28, 2026. It has been updated to reflect Anthropic reaching No. 1, and to include growth numbers from the company.
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Tech
Honor launches its new slim foldable Magic V6 with a 6,600 mAh battery
Honor launched its new foldable, the Honor Magic V6, with a massive 6,600 mAh battery and a new sturdy hinge ahead of the Mobile World Congress (MWC) in Barcelona.
The Chinese company has been obsessed with proving that it makes the thinnest foldables. This year’s version is 4mm thick when unfolded and 8.75 mm thick when folded. Compared to last year’s Magic V5, which was 4.1 mm thick when unfolded and 8.8 mm thick when folded. We are talking very thin shavings here, but that helps the company make those claims.
The battery is possibly one of the most impressive parts of the phone. The Honor Magic V6 has a 6,600 mAh battery, up from 5,820 mAh last year. Using Honor’s SuperCharge tech, the phone can charge at 80W through a wired connection, and at 66W wirelessly.
What’s more, Honor also showed a new Silicon-carbon battery tech with 32% silicon density that could push foldable phone battery over 7,000 mAh.
The new device has a 7.95-inch main AMOLED display with 2352 x 2172 pixel resolution and a 6.52-inch cover display with 2420 x 1080 pixel resolution. Both screens support LTPO 2.0, which means they can switch to variable refresh rates between 1-120Hz for different use cases for better content legibility and power saving.
The company said that it has worked on a new Super Steel Hinge with a tensile strength of 2,800 MPa, which would make for sturdy long-term usage. It also said that it has reduced the crease depth by 44%, making the display look smooth. Honor noted that the Magic V6 has a new anti-reflective coating for the external screen with a reflectivity rating of 1.5%.
The phone is powered by Qualcomm’s Snapdragon 8 Elite Gen 5 processor, has 16GB RAM, and 512GB of storage. The Magic V6 has three rear cameras: a 50-megapixel main camera with f/1.6 aperture, a 64-megapixel telephoto camera with f/2.5 aperture, and a 50-megapixel ultrawide camera with f/2.2 aperture. On the front, there are dual 20-megapixel cameras with an f/2.2 aperture.
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Honor is taking efforts to make the device have file and notification sharing compatibility with Apple devices. For instance, with Honor Magic V6, you can set up a two-way notification sync with an iPhone. Plus, the device also has settings to display notifications on the Apple Watch. The foldable has the ability share files with Macs with one tap, and it can act as an extended display as well.
Honor didn’t specify pricing for the device, but said that the Magic V6 will be released in select international markets in the second half of the year.
