Connect with us

Business & Technology

Poindexter Labs raises GBP £2 million seed funding

Published

on


Poindexter Labs has raised GBP £2 million in a seed round led by Episode 1, with backing from Evertrue Capital and Octopus Ventures’ First Cheque Fund.

The London-based AI data company said the oversubscribed financing also included angel investors and some of its own contributors, including mathematicians and scientists who use the platform and invested personal funds in the business.

The fund-raising comes as Poindexter signs its first direct contract with a major frontier AI lab, moving from intermediary work to operating as a named supplier. The company reached USD $1.6 million in revenue in its first six months before taking external investment.

Founded by Jocelyn D’Arcy, Poindexter produces training data for advanced AI models that require expert reasoning rather than simple labelling tasks. Many existing data platforms were built for image tagging and text categorisation, not step-by-step work in fields such as mathematics, science, law and engineering, it says.

That distinction has become more important as AI developers seek datasets that can teach models to reason through complex problems. Poindexter argues that much of the training data used across the sector is either inaccurate or discarded because review systems reward rejection rather than improvement.

The company has built its model around a network of Olympiad medallists, PhDs and professors from institutions including Oxbridge, the Ivy League and MIT. Contributors are admitted through live subject-knowledge interviews and work within a collaborative peer-review process that Poindexter says has been refined across millions of tasks.

That process delivers more than 95% of contracted data and achieves a 99.5% acceptance rate on completed work, according to the company. It contrasts that with an industry average of 5% to 60%.

Poindexter has also developed a software platform, now in beta, that supports its own data-production service and is intended for licensing to government departments and companies building AI systems internally. The platform is designed to let internal specialists work with the same collaborative tools used by its external contributor network.

Data bottleneck

Poindexter is entering a market shaped by rising demand for specialised datasets as developers push beyond general-purpose language models towards systems expected to show stronger reasoning. Next-generation models from groups such as OpenAI, DeepMind and Anthropic rely on worked solutions and expert judgement, increasing pressure on suppliers that can source and review material with a high level of technical accuracy.

Its argument is that this part of the AI supply chain has remained underdeveloped. Rather than treating data work as a mass task completed in isolation, Poindexter says it has borrowed methods from academic research, with contributors reviewing each other’s work and improving submissions rather than discarding them.

D’Arcy founded the company after working in education and academic administration, including roles as a maths teacher and Chief of Staff at the National Mathematics and Science College. Her academic background includes degrees from MIT, Cambridge and Oxford.

In comments accompanying the announcement, D’Arcy set out the company’s view of the market problem.

“The workflow that has defined the industry since its inception was designed for a factory, not for knowledge creation. As a result, a huge chunk of training data is discarded not because it is wrong, but because adversarial review processes actively incentivise discarding tasks rather than improving them. This is a workflow problem, and we built Poindexter the way academics build knowledge: collaboratively, transparently, with peer review at every step. We have an accepted ACL paper, a growing research pipeline, and a commitment to building the kind of high-quality sovereign datasets the UK’s AI future depends on. Our proof point is our revenue. If we weren’t 5x more efficient than the platforms we replaced, we simply wouldn’t exist,” said Jocelyn D’Arcy, Founder and CEO, Poindexter Labs.

Episode 1 said the company had already shown both technical and commercial progress before the seed round. Its backing adds to a small but growing group of UK funds supporting infrastructure businesses linked to AI development rather than model makers themselves.

“Poindexter has done something rare – built a business that is both technically differentiated and commercially validated from day one. The traction speaks for itself. We backed them because the problem is real, the solution is working, and Jocelyn is unlike any founder we have ever met,” said Adam Shuaib, General Partner, Episode 1.



Source link

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Business & Technology

Professor says tokenised deposits won’t transform banking

Published

on


A Loughborough University study has challenged claims that tokenised bank deposits will transform banking, arguing that many of the supposed benefits can already be delivered through existing systems.

The paper examines tokenised deposits, which represent money held in a bank account as a digital token, and questions whether they amount to a significant innovation for mainstream banking. Supporters say the model could improve the speed and automation of payments. The study argues that these outcomes do not depend on tokenisation.

Professor Alistair Milne of Loughborough Business School wrote the policy note for SUERF, a group that brings together central bankers, regulators, academics and finance professionals. He argues that banks already use computer systems and databases that can be programmed to handle many of the same tasks now being presented as new.

Debate over digital money has gathered pace as banks, policymakers and financial technology groups explore alternatives to traditional account-based systems. Tokenised deposits have emerged as one of several concepts under discussion, alongside stablecoins and central bank digital currencies. Advocates say they could help create faster payments, available at all hours and easier to link to automated instructions.

Milne’s paper takes a narrower view of what is actually new. It argues that blockchain, the record-keeping technology often associated with cryptocurrencies such as Bitcoin, is not necessary for most of the practical gains linked to tokenised deposits. In his assessment, conventional bank infrastructure can already support much of the same functionality without converting deposits into tokens.

“Much of the current discussion suggests tokenised deposits will transform banking. My research indicates that the technology itself is not the key issue. Most of the promised advantages can already be achieved using conventional banking systems. In many cases, tokenised deposits are better understood as a new way of packaging existing capabilities rather than a fundamentally new form of money,” said Professor Alistair Milne, Loughborough Business School, Loughborough University.

The study does not dismiss tokenised deposits entirely. Instead, it identifies a limited set of circumstances in which they may offer a clearer advantage, particularly within the operations of large international banks serving corporate clients across several markets.

Cross-border use

One of the stronger use cases, the paper argues, arises when a global company moves money between countries and currencies within the same banking group. In that situation, payments can be automated more easily because the transfer remains within one bank’s internal systems rather than moving through several institutions.

That distinction matters because payments between different banks still require interbank settlement. This brings a series of established constraints, including regulation, security checks and the management of financial risk between institutions.

The paper argues that tokenising a deposit does not remove those underlying frictions. Even if the customer-facing representation of money changes, banks must still complete the same core settlement and compliance steps when funds move across institutional boundaries.

Wider debate

The findings add to a broader policy discussion over whether new forms of digital money represent genuine structural change or simply a redesign of existing financial processes. Banks and regulators have been assessing how far distributed ledger systems can improve payments, settlement and record-keeping, especially in wholesale and cross-border markets.

Milne’s intervention is likely to resonate with those who question whether the financial sector is overstating the novelty of token-based systems. The paper suggests the real barriers to better payments are not always technological, but often lie in the legal, regulatory and risk frameworks that govern transactions between separate institutions.

The paper also highlights a divide in the digital money debate. Some proposed systems promise gains by changing the form of money itself, while others seek improvements through better integration of existing infrastructure. Milne’s argument places tokenised deposits closer to the second category.

For banks, that could shape investment decisions. If the same results can be achieved through upgrades to current databases and payment systems, the commercial case for shifting to tokenised deposits may be weaker than some advocates suggest, especially in domestic banking where established systems are already deeply embedded.

At the same time, the paper leaves room for more targeted adoption where specific operational benefits can be shown. Large multinational banks handling internal cross-border flows may still find token-based structures useful in defined cases, even if the model falls short of a broader banking revolution.

The study’s central conclusion is that the hardest parts of modern payments do not disappear simply because deposits are represented differently in software. As Milne argues, the most important constraints often emerge when money must move between institutions rather than within them.

Those frictions remain central to banking, regardless of whether a deposit is recorded in a conventional account ledger or represented as a token. The paper argues that turning deposits into digital tokens does little to remove these underlying challenges.



Source link

Continue Reading

Business & Technology

UK restaurant chain bids final farewell in emotional goodbye

Published

on


The closures, including branches in Oxfordshire, are part of the parent company Whitbread’s major restructuring plan, and will see all 106 sites shut permanently.

It was announced in April that the company would shut its remaining Beefeater and Brewers Fayre sites as part of a strategy overhaul, placing around 3,800 jobs at risk.

READ MORE: More than 100 restaurants to shut across the UK

There are Beefeaters in Cowley and Kidlington.

Now the chain has reached out to its loyal customers.

Dishes are served at Beefeater (Image: Jamie Lau)

In an email being distributed to previous diners and members of its loyalty schemes, Beefeater shared a message of gratitude, with two prominent words: ‘thank you’.

It said: “A message from your local Beefeater: We want to say a huge thank you for your custom at our Beefeater restaurants.”

It added: “As you may have seen, we have recently announced changes to our business, which is resulting in the closure of our Branded Restaurants.

“This means that on Thursday, September 10, 2026, your local Beefeater and all other UK Beefeaters will close.”

Inside Beefeater (Image: Christie Owen & Davies)

In the letter, the company also said it would close the loyalty scheme on August 31.

The restructure is part of Whitbread’s new five-year strategy, which aims to reduce costs by £250m.

The chain first launched in 1974.

The former Ock Mill Beefeater restaurant in Abingdon (Image: Andy Ffrench)

Several customers said they were “sad” to see the chain shutting sites, although they also felt the brand had gone downhill in more recent years.

One person wrote: “Until I went to university the only restaurant I’d ever been to was a Beefeater. We’d go for various family birthdays. I absolutely loved it.

“A steak or a mixed grill, which I never got at home, followed by a Knickerbocker Glory. Fantastic times. I went back a couple of years ago.

“The place looked run down. I feel sad about this, but I guess the fact I hadn’t been to one for 30 years is part of the problem.”

The Ock Mill Beefeater restaurant, linked to the former Premier Inn in Marcham Road, Abingdon, closed in 2023, and the site was bought by the Unicorn School, which is currently renovating the building for classrooms.

Dominic Paul, Whitbread’s chief executive, said earlier: “We always challenge ourselves to improve and, in light of significant cost increases in the form of business rates and national insurance, as well as the implied market discount to our inherent value, we’ve looked hard at the options open to us to maximise value creation over the medium and long-term.

“This has been a rigorous process, and we’ve approached all options with an open mind.

“Our new five-year plan builds on our strengths and drives a significant acceleration of our strategy.”





Source link

Continue Reading

Business & Technology

Sapia.ai launches Tia to tap hiring data for teams

Published

on



JOSEPH GABRIEL LAGONSIN

News Editor

Sapia.ai has launched Tia, an AI assistant for hiring teams. It is aimed at organisations that want to use existing candidate interview data to inform recruitment decisions.

Tia allows recruiters and hiring managers to ask questions in everyday language and receive answers based on previous AI interviews conducted through the Sapia.ai platform. The responses draw on structured interview evidence rather than CVs and include the reasoning behind each recommendation, while the final hiring decision remains with a person.

The launch comes as hiring activity in the UK remains subdued. Data cited by Sapia.ai from Reuters and Indeed showed job postings had fallen 11% since the start of the year and were 32% below their pre-pandemic level, even as demand for AI skills continued to rise.

Against that backdrop, recruitment technology suppliers are placing greater emphasis on tools designed to help employers do more with the information they already collect. Sapia.ai is positioning Tia as a way to reuse interview data that often goes untouched once a vacancy has been filled.

Businesses spend heavily on attracting, interviewing and assessing candidates, but much of the knowledge generated during that process is then left in separate systems or archived reports, according to Sapia.ai. Tia is designed to surface those records so hiring teams can revisit previous applicants, compare shortlisted candidates or prepare interview guides without manually searching through documents.

Examples include identifying candidates already in a talent pool, assessing which previous applicants showed leadership potential, comparing two finalists and creating onboarding plans based on information already captured. The assistant works only with an organisation’s own hiring data held within the Sapia.ai platform.

That approach reflects a wider debate over the use of AI in recruitment. Employers and software providers are under pressure to show that automated recommendations can be understood and challenged, particularly when they affect employment outcomes. Sapia.ai said each answer provided by Tia is based on structured interview evidence and accompanied by transparent reasoning.

Barb Hyman, Chief Executive Officer and Founder of Sapia.ai, said the product is intended to help businesses make better use of information they already have.

“Tia is about helping businesses make better use of information they already have,” Hyman said.

“Companies spend millions every year attracting and assessing talent, but once a role is filled, much of that knowledge sits unused. We wanted to change that.”

Hyman said the system is designed to make historical hiring data more accessible when a new vacancy opens.

“Tia turns years of hiring data into something organisations can actually use. Instead of starting from scratch every time a new role opens, recruiters can instantly rediscover great candidates they’ve already met, compare applicants using real evidence and make decisions with greater confidence.

“We believe AI shouldn’t replace human judgement but actually make it better. Tia gives hiring teams the information they need, when they need it, while keeping people firmly in control of the final decision.”

Beyond recruitment

Sapia.ai said Tia could also be used for internal workforce analysis. In addition to helping fill jobs, the assistant is intended to help employers identify internal talent, highlight leadership potential and spot skills gaps using behavioural data gathered during recruitment.

This suggests the company sees the product extending beyond candidate selection into broader workforce planning. For employers facing lower hiring volumes and pressure on recruitment budgets, the ability to draw more value from existing candidate and employee data may prove attractive, particularly if it reduces duplicated search and assessment work.

At the same time, the claims are likely to be tested against ongoing scrutiny of AI tools used in human resources. Questions around bias, explainability and accountability remain central in the market, and vendors are increasingly expected to show that automated systems support rather than replace human decision-making.

Sapia.ai has made that distinction central to Tia’s launch, arguing that the assistant should be used to organise and interpret evidence already held by employers rather than make decisions on their behalf. The tool is now available as part of its platform.



Source link

Continue Reading

Trending