AI startup Daydream revolutionises online fashion search

Online shopping for specific items like bridesmaid dresses can be challenging due to overwhelming choices. A new tech startup, Daydream, aims to simplify this. It uses AI to let users search for products by describing them in natural language, making the process easier and more intuitive.

For instance, a user could ask for a ‘revenge dress to wear to a party in Sicily in July,’ or ‘a summer bag to carry to work and cocktails after.’

Daydream, with staff based in New York and San Francisco, represents the latest venture in a growing trend of tech companies utilising AI to streamline and personalise online retail.

Consumer demand for such tools is evident: an Adobe Analytics survey of 5,000 US consumers revealed that 39% had used a generative AI tool for online shopping last year, with 53% planning to do so this year. Daydream faces competition from tech giants already active in this space.

Meta employs AI to facilitate seller listings and to target users with more relevant product advertisements. OpenAI has launched an AI agent capable of shopping across the web for users, and Amazon is trialling a similar feature.

Google has also introduced various AI shopping tools, including automated price tracking, a ‘circle to search’ function for identifying products in photos, and virtual try-on options for clothing.

Despite the formidable competition, Daydream’s CEO, Julie Bornstein, believes her company possesses a deeper understanding of the fashion and retail industries.

Bornstein’s extensive background includes helping build Nordstrom’s website as its vice president of e-commerce in the early 2000s and holding C-suite positions at Sephora and Stitch Fix. In 2018, she co-founded her first AI-powered shopping startup, The Yes, which was sold to Pinterest in 2022.

Bornstein asserts, ‘They don’t have the people, the mindset, the passion to do what needs to be done to make a category like fashion work for AI recommendations.’ She added, ‘Because I’ve been in this space my whole career, I know that having the catalogue with everything and being able to show the right person the right stuff makes shopping easier.’

Daydream has already secured $50 million in its initial funding round, attracting investors such as Google Ventures and model Karlie Kloss, founder of Kode With Klossy. The platform operates as a free, digital personal stylist.

Users can input their desired products using natural language, eliminating the need for complex Boolean search terms, thanks to its AI text recognition technology, or upload an inspiration photo.

Daydream then presents recommendations from over 8,000 brand partners, ranging from budget-friendly Uniqlo to luxury brand Gucci. Users can further refine their search through a chat interface, for example, by requesting more casual or less expensive alternatives.

As users interact more with the platform, it progressively tailors recommendations based on their search history, clicks, and saved items.

When customers are ready to purchase, they are redirected to the respective brand’s website to complete the transaction, with Daydream receiving a 20% commission on the sale.

Unlike many other major e-commerce players, Bornstein is deliberately avoiding ad-based rankings. She aims for products to appear on recommendation pages purely because they are a suitable match for the customer, not due to paid placements.

Bornstein stated, ‘As soon as Amazon started doing paid sponsorships, I’m like, ‘How can I find the real good product?’ She emphasised, ‘We want this to be a thing where we get paid when we show the customer the right thing.’

A recent CNN test of Daydream yielded mixed results. A search for a ‘white, fitted button-up shirt for the office with no pockets’ successfully returned a $145 cotton long-sleeve shirt from Theory that perfectly matched the description.

However, recommendations are not always flawless. A query for a ‘mother of the bride dress for a summer wedding in California’ presented several slinky slip dresses, some in white, alongside more formal styles, appearing more suitable for a bachelorette party.

Bornstein confirmed that the company continuously refined its AI models and gathered user feedback. She noted, ‘We want data on what people are doing so we can focus and learn where we do well and where we don’t.’

Part of this ongoing development involves training the AI to understand nuanced contextual cues, such as the implications of a ‘dress for a trip to Greece in August’ (suggesting hot weather) or an outfit for a ‘black-tie wedding’ (implying formality).

Daydream’s web version launched publicly last month, and it is currently in beta testing, with plans for an app release in the autumn. Bornstein envisions a future where AI extends beyond shopping, assisting with broader fashion needs like pairing new purchases with existing wardrobe items.

She concluded, ‘This was one of my earliest ideas, but I didn’t know the term (generative AI) and I didn’t know a large language model would be the unlock.’

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Delta Air Lines rolls out AI for personalised airfare

Delta Air Lines is shifting the landscape of airfare by leveraging AI to personalise ticket prices. Moving beyond fixed fares, Delta aims to tailor prices closely to each traveller.

Instead of static prices, the system now analyses customer habits, booking history, and even the time of day to predict an individual’s potential willingness to pay. By the end of the current year, Delta aims to set 20% of its ticket prices using AI dynamically.

The goal represents a significant, sevenfold increase from just twelve months prior. Such a high-tech approach could result in more advantageous deals or elevated costs, depending on a passenger’s unique circumstances and shopping behaviour.

It is crucial to understand how this system operates, Delta’s motivations, and its implications for consumer finances. Traditional ticket pricing has long relied on ‘fare buckets,’ where customers are categorised based on their booking method and timing.

Delta’s new AI ticket pricing system fundamentally shifts away from these static rates. It analyses real-time information to calculate precisely what a specific customer will likely spend on a seat for any given flight.

Glen Hauenstein, Delta’s President, describes this as a complete re-engineering of pricing. He characterises AI as a ‘super analyst’ working continuously, 24/7, to identify the optimal price for every traveller, every time.

The airline has collaborated with Fetcherr, which provides the underlying technological infrastructure and supports other global airlines. Airlines do not adopt advanced, high-tech pricing systems to reduce revenue.

Delta reports that initial results from its AI-driven pricing indicate ‘amazingly favourable’ revenues. The airline believes AI will maximise profits by more accurately aligning fares with each passenger’s willingness to pay.

However, this is determined by a vast array of data inputs, ranging from individual booking history to prevailing market trends. Delta’s core strategy is straightforward: to offer a price available for a specific flight, at a particular time, to you, the individual consumer.

Consumers who have previously observed frequent fluctuations in airfare should now anticipate even greater volatility. Delta’s new system could present a different price to one person compared to another for the same seat, with the calculation performed in real-time by the AI.

Passengers might receive special offers or early discounts if the AI identifies a need to fill seats quickly. However, discerning whether one is securing a ‘fair’ deal becomes significantly more challenging. The displayed price is now a function of what the AI believes an individual will pay, rather than a universal rate applicable to all.

The shift has prompted concerns among some privacy advocates. They worry that such personalised pricing could disadvantage customers who lack the resources or time to search extensively for the most favourable deals.

Consequently, those less able to shop around may be charged the highest prices. Delta has been approached for comment, and a spokesperson stated: ‘There is no fare product Delta has ever used, is testing, or plans to use that targets customers with individualised offers based on personal information or otherwise.

Various market forces have driven the dynamic pricing model used in the global industry for decades, with new tech streamlining this process. Delta always complies with regulations around pricing and disclosures.’

Delta’s openness regarding this significant policy change has attracted considerable national attention. Other airlines are already trialling their AI fare systems, and industry experts widely anticipate that the rest of the sector will soon follow suit.

Nevertheless, privacy advocates and several lawmakers are vocalising strong objections. Critics contend that allowing AI to determine pricing behind the scenes is akin to airlines ‘hacking our brains’ to ascertain the maximum price a customer will accept, as described by Consumer Watchdog.

The legal ramifications of this approach are still unfolding. While price variation based on demand or timing is not novel, the use of AI for ultra-personalised pricing raises uncomfortable questions about potential discrimination and fairness, particularly given prior research suggesting that economically disadvantaged customers frequently receive less favourable deals.

Delta’s AI pricing system personalises every airfare, making each search and price specific to the user. Universal ticket prices are fading as AI analyses booking habits and market conditions. This technology can quickly offer special deals to fill seats or raise prices if demand is detected.

Conversely, the price can increase if the system senses a greater willingness to pay. Shopping around is now an absolute necessity. Utilising a VPN can help outsmart the system by masking location and IP address, which prevents airlines from tracking searches and adjusting prices based on geographic region.

Making quick decisions might result in savings, but procrastination could lead to a price increase. Privacy is paramount; the airline gains insights into a user’s habits with every search. A digital footprint directly influences fares. In essence, consumers now possess both increased power and greater responsibility.

Being astute, flexible, and constantly comparing before purchasing is vital. Delta’s transition to AI-driven ticket pricing significantly shifts how consumers purchase flight tickets.

While offering potential for enhanced flexibility and efficiency, it simultaneously raises substantial questions concerning fairness, privacy, and transparency.

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AI chatbot captures veteran workers’ knowledge to support UK care teams

Peterborough City Council has turned the knowledge of veteran therapy practitioner Geraldine Jinks into an AI chatbot to support adult social care workers.

After 35 years of experience, colleagues frequently approached Jinks seeking advice, leading to time pressures despite her willingness to help.

In response, the council developed a digital assistant called Hey Geraldine, built on the My AskAI platform, which mimics her direct and friendly communication style to provide instant support to staff.

Developed in 2023, the chatbot offers practical answers to everyday care-related questions, such as how to support patients with memory issues or discharge planning. Jinks collaborated with the tech team to train the AI, writing all the responses herself to ensure consistency and clarity.

Thanks to its natural tone and humanlike advice, some colleagues even mistook the chatbot for the honest Geraldine.

The council hopes Hey Geraldine will reduce hospital discharge delays and improve patient access to assistive technology. Councillor Shabina Qayyum, who also works as a GP, said the tool empowers staff to help patients regain independence instead of facing unnecessary delays.

The chatbot is seen as preserving valuable institutional knowledge while improving frontline efficiency.

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Google seeks balance between user satisfaction and ecosystem health

At the Search Central Live Deep Dive 2025 event, Google’s Gary Illyes acknowledged that they are still calibrating how to weigh user needs, especially around AI-powered features, and the health of the broader web publishing community.

The company gathers internal survey data and tracks the adoption of external AI tools to assess satisfaction and guide product decisions.

While Google aims to enrich user experience with AI Overviews, critics warn these features may shrink organic traffic for publishers, as users often consume information without visiting source sites.

Illyes reaffirmed that Google does not intend disruption but is navigating a trade-off between serving users efficiently and maintaining a healthy content ecosystem.

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Z.ai unveils cheaper, advanced AI model GLM-4.5

Chinese AI startup Z.ai, formerly Zhipu, is increasing pressure on global competitors with its latest model, GLM-4.5. The company has adopted an aggressive open-source strategy to attract developers. Anyone can download and use the model without licensing fees or platform restrictions.

GLM-4.5 is designed with agentic AI, breaking tasks into smaller components for improved performance. By approaching problems step by step, the model delivers more accurate and efficient outcomes. Z.ai aims to stand out through both technical sophistication and affordability.

CEO Zhang Peng says the model runs on only eight Nvidia H20 chips, while DeepSeek’s model needs sixteen. Nvidia developed the H20 to comply with US export controls aimed at China. Reducing chip demand significantly lowers the model’s operational footprint.

Zhang said the company has enough computing power and is not seeking further hardware now. Z.ai plans to charge 11 cents per million input tokens, undercutting DeepSeek R1’s 14 cents. Output tokens will cost 28 cents per million, compared to DeepSeek’s 2.19 dollars.

Such pricing could reshape large language model deployment expectations, especially in resource-limited environments. High costs have long been a barrier to broader AI adoption. Z.ai appears to be positioning itself as a more accessible alternative.

Founded in 2019, Z.ai has raised more than 1.5 billion dollars from investors including Alibaba, Tencent, and Qiming Venture Partners. It has grown quickly from a research-focused lab to one of China’s most prominent AI contenders. A public listing in Greater China is reportedly being prepared.

OpenAI recently named Zhipu among the Chinese firms it considers strategically significant in global AI development. US authorities responded by restricting American companies from working with Z.ai. The startup has nonetheless continued to expand its model lineup and partnerships.

Chinese firms increasingly invest in open-source models, often with domestic hardware compatibility in mind. Moonshot, another Alibaba-backed company, released the Kimi K2 model. Kimi K2 has received praise for its performance in coding and mathematical tasks.

Tencent has joined the race with its HunyuanWorld-1.0 model, which is built to generate immersive 3D environments. The HunyuanWorld-1.0 can accelerate game development, virtual reality design, and simulation work. Cutting-edge features are being paired with highly efficient architectures.

Alibaba also introduced its Qwen3-Coder model to assist in code generation and debugging. Such AI tools are seeing increasing use in software engineering and education. Chinese developers are positioning themselves to compete with Western offerings such as OpenAI’s Codex and Anthropic’s Claude.

The momentum within China’s AI sector is accelerating despite geopolitical and trade restrictions. A clear shift is underway from imitation to innovation, with local startups advancing independent research. Many models are trained on China-specific datasets to optimise relevance and performance.

Z.ai’s strategy combines cost reduction, efficient chip use, and broad availability. The company can build community trust and encourage ecosystem growth by open-sourcing its tools. At the same time, pricing undercuts major rivals and could disrupt the market.

Global AI development is increasingly decentralised, with Chinese firms no longer just playing catch-up. Large-scale funding and state support are helping to close gaps in hardware and training infrastructure. Z.ai is one of several firms pushing toward greater technological autonomy.

Open-source AI development is also helping Chinese companies win favour with developers outside their borders. Many international teams are experimenting with Chinese models to diversify risk and reduce reliance on US tech. Z.ai’s GLM-4.5 is among the models gaining traction globally.

By offering a powerful, lightweight, and affordable model, Z.ai is setting a new benchmark in the industry. The combination of technical refinement and strategic pricing draws attention from investors and users. A new era of AI competition is emerging.

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Robot artist Ai-Da explores human self-perception

The world’s first ultra-realistic robot artist, Ai-Da, has been prompting profound questions about human-robot interactions, according to her creator.

Designed in Oxford by Aidan Meller, a modern and contemporary art specialist, and built in the UK by Engineered Arts, Ai-Da is a humanoid robot specifically engineered for artistic creation. She recently unveiled a portrait of King Charles III, adding to her notable portfolio.

Aidan Meller, Ai-Da’s creator, stated that working with the robot has evoked ‘lots of questions about our relationship with ourselves.’ He highlighted how Ai-Da’s artwork ‘drills into some of our time’s biggest concerns and thoughts.’

Ai-Da uses cameras in her eyes to capture images, which are then processed by AI algorithms and converted into real-time coordinates for her robotic arm, enabling her to paint and draw.

Mr Meller explained, ‘You can meet her, talk to her using her language model, and she can then paint and draw you from sight.’

He also observed that people’s preconceptions about robots are often outdated: ‘It’s not until you look a robot in the eye and they say your name that the reality of this new sci-fi world that we are now in takes hold.’

Ai-Da’s contributions to the art world continue to grow. She had produced and showcased her work at the AI for Good Global Summit 2024 in Geneva, Switzerland, an event under the auspices of the UN. That same year, her triptych of Enigma code-breaker Alan Turing sold for over £1 million at auction.

Her focus this year shifted to King Charles III, chosen because, as Mr Meller noted, ‘With extraordinary strides that are taking place in technology and again, always questioning our relationship to the environment, we felt that King Charles was an excellent subject.’

Buckingham Palace authorised the display of Ai-Da’s portrait of the King, despite the robot not meeting him. Ai-Da, connected to the internet, uses extensive data to inform her choice of subjects, with Mr Meller revealing, ‘Uncannily, and rather nerve-rackingly, we just ask her.’

The conversations generated inform the artwork. Ai-Da also painted a portrait of King Charles’s mother, Queen Elizabeth II, in 2023. Mr Meller shared that the most significant realisation from six years of working with Ai-Da was ‘not so much about how human she is but actually how robotic we are.’

He concluded, ‘We hope Ai-Da’s artwork can be a provocation for that discussion.’

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Viasat launches global IoT satellite service

Viasat has unveiled a new global connectivity service designed to improve satellite-powered internet of things (IoT) communication, even in remote environments. The new offering, IoT Nano, supports industries like agriculture, mining, transport with reliable, low-data and low-power two-way messaging.

The service builds on Orbcomm’s upgraded OGx platform, delivering faster message speeds, greater data capacity and improved energy efficiency. It maintains compatibility with older systems while allowing for advanced use cases through larger messages and reduced power needs.

Executives at Viasat and Orbcomm believe IoT Nano opens up new opportunities by combining wider satellite coverage with smarter, more frequent data delivery. The service is part of Viasat’s broader effort to expand its scalable and energy-efficient satellite IoT portfolio.

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Meta forms AI powerhouse by appointing Shengjia Zhao as chief scientist

Meta has appointed former OpenAI researcher Shengjia Zhao as Chief Scientist of its newly formed AI division, Meta Superintelligence Labs (MSL).

Zhao, known for his pivotal role in developing ChatGPT, GPT-4, and OpenAI’s first reasoning model, o1, will lead MSL’s research agenda under Alexandr Wang, the former CEO of Scale AI.

Mark Zuckerberg confirmed Zhao’s appointment, saying he had been leading scientific efforts from the start and co-founded the lab.

Meta has aggressively recruited top AI talent to build out MSL, including senior researchers from OpenAI, DeepMind, Apple, Anthropic, and its FAIR lab. Zhao’s presence helps balance the leadership team, as Wang lacks a formal research background.

Meta has reportedly offered massive compensation packages to lure experts, with Zuckerberg even contacting candidates personally and hosting them at his Lake Tahoe estate. MSL will focus on frontier AI, especially reasoning models, in which Meta currently trails competitors.

By 2026, MSL will gain access to Meta’s massive 1-gigawatt Prometheus cloud cluster in Ohio, designed to power large-scale AI training.

The investment and Meta’s parallel FAIR lab, led by Yann LeCun, signal the company’s multi-pronged strategy to catch up with OpenAI and Google in advanced AI research.

The collaboration dynamics between MSL, FAIR, and Meta’s generative AI unit remain unclear, but the company now boasts one of the strongest AI research teams in the industry.

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UN urges global rules for AI to prevent inequality

According to Doreen Bogdan-Martin, head of the UN’s International Telecommunications Union, the world must urgently adopt a unified approach to AI regulation.

She warned that fragmented national strategies could deepen global inequalities and risk leaving billions excluded from the AI revolution.

Bogdan-Martin stressed that only a global framework can ensure AI benefits all of humanity instead of worsening digital divides.

With 85% of countries lacking national AI strategies and 2.6 billion people still offline, she argued that a coordinated effort is essential to bridge access gaps and prevent AI from becoming a tool that advances inequality rather than opportunity.

ITU chief highlighted the growing divide between regulatory models — from the EU’s strict governance and China’s centralised control to the US’s new deregulatory push under Donald Trump.

She avoided direct criticism of the US strategy but called for dialogue between all regions instead of fragmented policymaking.

Despite the rapid advances of AI in sectors like healthcare, agriculture and education, Bogdan-Martin warned that progress must be inclusive. She also urged more substantial efforts to bring women into AI and tech leadership, pointing to the continued gender imbalance in the sector.

As the first woman to lead ITU, she said her role was not just about achievement but setting a precedent for future generations.

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New AI startup enables context across thousands of hours of video

Samsung Next has invested in Memories.ai, a startup specialising in long-duration video analysis capable of processing up to 10 million hours of footage.

The tool uses AI to transform massive video archives into searchable, structured datasets, even across multiple videos spanning hours or days.

The solution employs a layered pipeline: it filters noise, compresses critical segments, indexes content for natural-language queries, segments into meaningful units, and aggregates those insights into digestible reports. This structure enables users to search and analyse complex visual datasets seamlessly.

Memories.ai’s co-founders, Dr Shawn Shen and Enmin (Ben) Zhou, bring backgrounds from Meta’s Reality Labs and machine learning engineering.

The company raised $8 million in seed funding, surpassing its $4 million goal, led by Susa Ventures, including Samsung Next, Fusion Fund, Crane Ventures, Seedcamp, and Creator Ventures.

Samsung is banking on Memories.ai’s edge computing strengths, particularly to enable privacy-conscious applications such as home security analytics without cloud dependency. Its startup focus includes security firms and marketers needing scalable tools to sift through extensive video content.

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