AI development company is our Think Local/Buy Local business
Would you like to feature as our Think Local/Buy Local business? (Image: Newsquest)
What do you do?
We are an AI consulting and development company.
Where are you based?
Stuart House, St John's Road, Peterborough (but we are fully virtual, so this is just a postal address).
How can people contact you?
01733 964993 https://projektrising.ai https://www.facebook.com/projektrising https://x.com/projekt_rising https://www.linkedin.com/company/17977804 https://www.youtube.com/@SkynetChroniclesPodcast https://www.tiktok.com/@projekt.rising
When did you set up the business?
In March 2017
Why did you set up the business?
For as long as I can remember I've been fascinated by technology. My dad was a computer consultant, so I got his hand me down computers and in 1991 I discovered that I could hack a computer game (Dune2) to create custom levels, it felt like magic and I was hooked on the power of computers and the ability to influence them.
I was leading the International expansion of Upwork's Enterprise offering. It was an exciting business with the strapline the "Future of Work" - more exciting still to me though was that they hadn't started to engage with the next wave of technologies that to me really do represent the future of work.
I could see the opportunity, the extraordinary potential of Agentic AI that would create unfair advantages in every corner of a company and enable clients to reimagine their growth.
That window to capitalise on the arrival of these era defining technologies was too good to miss so I persuaded Oli (who had worked with me in a variety of roles across Caterpillar and Upwork) to take a bet on building the future.
How many people do you have working for you?
Five
What do you consider to be your USP?
The expert AI partner for SMEs, harnessing state-of-the-art technologies to drive transformative growth and multiply margins through affordable, bespoke, solutions that create unfair advantages in every corner of a business. The power to re-imagine potential.
Why do you think it is important that people use local shops and businesses?
There is so much potential for good by working with local businesses, money stays local and those businesses employ local people. Strong relationships, partnerships and friendships are enhanced by regular contact.
Would you like your business to feature in our Think Local/Buy Local campaign? Contact: debbie.davies@newsquest.co.uk for details.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Forbes
17 minutes ago
- Forbes
4 Things Schools Need To Consider When Designing AI Policies
Artificial intelligence has moved from Silicon Valley boardrooms into homes and classrooms across America. A recent Pew Research Center study reveals that 26% of American teenagers now utilize AI tools for schoolwork—twice the number from two years prior. Many schools are rushing to establish AI policies. The result? Some are creating more confusion than clarity by focusing solely on preventing cheating while ignoring broader educational opportunities AI presents. The challenge shouldn't be about whether to allow AI in schools—it should be about how to design policies that strike a balance between academic integrity and practical preparation for an AI-driven future. Here are four essential considerations for effective school AI policies. 1. Address Teacher AI Use, Not Just Student Restrictions The most significant oversight in current AI policies? They focus almost exclusively on what students can't do while completely ignoring teacher usage. This creates confusion and sends mixed messages to students and families. Most policies spend paragraphs outlining student restrictions, but fail to answer basic questions about educator usage: Can teachers use AI to create lesson plans? Are educators allowed to use AI for generating quiz questions or providing initial feedback on essays? What disclosure requirements exist when teachers use AI-generated content? When schools prohibit students from using AI while allowing teachers unrestricted access, the message becomes hypocritical. Students notice when their teacher presents an AI-generated quiz while simultaneously forbidding them from using AI for research. Parents wonder why their children face strict restrictions while educators operate without clear guidelines. If students are required to disclose AI usage in assignments, teachers should identify when they've used AI for lesson materials. This consistency builds trust and models responsible AI integration. 2. Include Students in AI Policy Development Most AI policies are written by administrators who haven't used ChatGPT for homework or witnessed peer collaboration with AI tools. This top-down approach creates rules that students either ignore or circumvent entirely. When we built AI guidelines for WITY, our AI teen entrepreneurship platform at WIT - Whatever It Takes, we worked directly with students. The result? Policies that teens understand and respect because they helped create them. Students bring critical information about real-world AI use that administrators often miss. They are aware of which platforms their classmates use, how AI supports various subjects, and where current rules create confusion. When students participate in policy creation compliance increases significantly because the rules feel collaborative rather than punitive. 3. Balance AI Guardrails With Innovation Opportunities Many AI policies resemble legal warnings more than educational frameworks. Fear-based language teaches students to view AI as a threat rather than a powerful tool requiring responsible use. Effective policies reframe restrictions as learning opportunities. Instead of "AI cannot write your essays," try "AI can help you brainstorm and organize ideas, but your analysis and voice should drive the final work." Schools that blanket-ban AI usage miss opportunities to prepare students for careers where AI literacy will be essential. AI access can vary dramatically among students. While some students have premium ChatGPT subscriptions and access to the latest tools, others may rely solely on free versions or school-provided resources. Without addressing this gap, AI policies can inadvertently increase educational inequality. 4. Build AI Literacy Into Curriculum and Family Communication In an AI-driven economy, rules alone don't prepare students for a future where AI literacy is necessary. Schools must teach students to think critically about AI outputs, understand the bias in AI systems, and recognize the appropriate applications of AI across different contexts. Parents often feel excluded from AI conversations at school, creating confusion about expectations. This is why schools should explain their AI policies in plain language, provide examples of responsible use, and offer resources for parents who want to support responsible AI use at home. When families understand the educational rationale behind AI integration—including teacher usage and transparency requirements—they become partners in developing responsible use habits rather than obstacles to overcome. AI technology changes rapidly, making static policies obsolete within months. Schools should schedule annual policy reviews that include feedback from students, teachers, and parents about both student and teacher AI usage. AI Policy Assessment Checklist School leaders should evaluate their current policies against these seven criteria: Teacher Guidelines: Do policies clearly state when and how teachers can use AI? Are disclosure requirements consistent between students and educators? Student Input: Have students participated in creating these policies? Do rules reflect actual AI usage patterns among teens? Equity Access: Can all students access the same AI tools, or do policies create advantages for families with premium subscriptions? Family Communication: Can parents easily understand the policies? Are expectations clear for home use? Are there opportunities for workshops for parents? Innovation Balance: Do policies encourage responsible experimentation or only focus on restrictions? Is the school policy focusing on preparing students for the AI-driven workforce? Regular Updates: Is there a scheduled review process as AI technology evolves? Does the school welcome feedback from students, teachers and parents? Skills Development: Do policies include plans for teaching AI literacy alongside restrictions? Who is teaching this class or workshop? Moving Forward: AI Leadership The most effective approach treats students as partners, not adversaries. When teens help create the rules they'll follow, when teachers model responsible usage, and when families understand the educational reasoning behind policies, AI becomes a learning tool rather than a source of conflict. Schools that embrace this collaborative approach will produce graduates who understand how to use AI ethically and effectively—exactly the capabilities tomorrow's economy demands.
Yahoo
42 minutes ago
- Yahoo
Iress Limited (ASX:IRE) Looks Interesting, And It's About To Pay A Dividend
Explore Iress's Fair Values from the Community and select yours Readers hoping to buy Iress Limited (ASX:IRE) for its dividend will need to make their move shortly, as the stock is about to trade ex-dividend. The ex-dividend date is usually set to be two business days before the record date, which is the cut-off date on which you must be present on the company's books as a shareholder in order to receive the dividend. The ex-dividend date is of consequence because whenever a stock is bought or sold, the trade can take two business days or more to settle. This means that investors who purchase Iress' shares on or after the 22nd of August will not receive the dividend, which will be paid on the 22nd of September. The company's upcoming dividend is AU$0.11 a share, following on from the last 12 months, when the company distributed a total of AU$0.22 per share to shareholders. Based on the last year's worth of payments, Iress has a trailing yield of 2.4% on the current stock price of AU$9.03. If you buy this business for its dividend, you should have an idea of whether Iress's dividend is reliable and sustainable. So we need to investigate whether Iress can afford its dividend, and if the dividend could grow. AI is about to change healthcare. These 20 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10bn in marketcap - there is still time to get in early. If a company pays out more in dividends than it earned, then the dividend might become unsustainable - hardly an ideal situation. That's why it's good to see Iress paying out a modest 44% of its earnings. Yet cash flows are even more important than profits for assessing a dividend, so we need to see if the company generated enough cash to pay its distribution. Thankfully its dividend payments took up just 36% of the free cash flow it generated, which is a comfortable payout ratio. It's encouraging to see that the dividend is covered by both profit and cash flow. This generally suggests the dividend is sustainable, as long as earnings don't drop precipitously. View our latest analysis for Iress Click here to see the company's payout ratio, plus analyst estimates of its future dividends. Have Earnings And Dividends Been Growing? Companies with consistently growing earnings per share generally make the best dividend stocks, as they usually find it easier to grow dividends per share. Investors love dividends, so if earnings fall and the dividend is reduced, expect a stock to be sold off heavily at the same time. With that in mind, we're encouraged by the steady growth at Iress, with earnings per share up 4.8% on average over the last five years. Recent growth has not been impressive. However, companies that see their growth slow can often choose to pay out a greater percentage of earnings to shareholders, which could see the dividend continue to rise. The main way most investors will assess a company's dividend prospects is by checking the historical rate of dividend growth. Iress's dividend payments per share have declined at 6.1% per year on average over the past 10 years, which is uninspiring. It's unusual to see earnings per share increasing at the same time as dividends per share have been in decline. We'd hope it's because the company is reinvesting heavily in its business, but it could also suggest business is lumpy. The Bottom Line Should investors buy Iress for the upcoming dividend? Earnings per share have been growing moderately, and Iress is paying out less than half its earnings and cash flow as dividends, which is an attractive combination as it suggests the company is investing in growth. It might be nice to see earnings growing faster, but Iress is being conservative with its dividend payouts and could still perform reasonably over the long run. Overall we think this is an attractive combination and worthy of further research. While it's tempting to invest in Iress for the dividends alone, you should always be mindful of the risks involved. Every company has risks, and we've spotted 1 warning sign for Iress you should know about. A common investing mistake is buying the first interesting stock you see. Here you can find a full list of high-yield dividend stocks. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
an hour ago
- Yahoo
Prediction: This Unstoppable Stock Will Be a Founding Member of the $6 Trillion Club by 2027
Key Points Nvidia is the flag bearer for generative AI, which is still in the early innings. The chipmaker furnishes the graphics processing units (GPUs) that supply the computational horsepower that underpins AI. While Nvidia has grown at a blistering pace over the past few years, it likely has further to run, and it's still attractively priced. 10 stocks we like better than Nvidia › Artificial intelligence (AI) has stolen the limelight over the past few years, and there's plenty of evidence to suggest this is just the beginning. Developers continue to create new applications for the technology, which is being leveraged to produce original content, streamline business processes, and enhance productivity. Despite making headlines for more than two years, it's still early days for the adoption of AI, and the evidence suggests spending continues to ramp up. In fact, the four horsemen of technology -- namely Microsoft, Alphabet, Amazon, and Meta Platforms -- are poised to collectively spend more than $400 billion for the capital expenditures required to support their AI ambitions this year, and these outlays show no signs of slowing. With data center spending at the top of the shopping list, Nvidia (NASDAQ: NVDA) is positioned to reap the rewards of much of that spending. The company pioneered the graphics processing units (GPUs) that perform the mathematical calculations required to enable AI, and I predict it will parlay the unrelenting demand for those chips into charter membership in the $6 trillion club. A GPU primer Nvidia pioneered the first GPU back in 1999 to render lifelike images in video games. The groundbreaking development that made that possible was parallel processing, which breaks up massive computing jobs into smaller, more manageable chunks. This enabled the simultaneous processing of a multitude of mathematical computations, making Nvidia's chips a game-changer. This was just the beginning of the journey for the humble GPU, which proved adept at enabling or accelerating other applications, including those in the cloud or data centers, where the majority of AI processing takes place. Nvidia has become the gold standard for data center GPUs, controlling an eye-watering 92% of the market, according to business intelligence firm IoT Analytics. The feverish demand for these specialty chips has driven Nvidia's financial results and its stock price into the stratosphere. Show me the money In its fiscal 2026 first quarter (ended April 27), Nvidia generated record revenue of $44 billion, which surged 69% year over year and 12% sequentially. This fueled adjusted earnings per share (EPS) that jumped 27% to $0.76. The headliner was the data center business, which includes processors used for cloud computing, data centers, and AI. Revenue for the segment surged 73% to $39 billion, driven by relentless demand for AI. This could be just the beginning. Big Four accounting firm PricewaterhouseCoopers (PwC) estimates the AI market could be worth $15.7 trillion by 2030, with Nvidia being a major beneficiary by supplying the cutting-edge chips that underpin the technology. The path to $6 trillion Nvidia currently boasts the world's highest market cap for a publicly traded company, at roughly $4.44 trillion (as of this writing). This means its stock price would need to rise 35% to drive its value to $6 trillion. According to Wall Street, Nvidia is poised to generate revenue of more than $201 billion in fiscal 2026 (which began in January), giving it a forward price-to-sales (P/S) ratio of roughly 22. Assuming its P/S remains constant, Nvidia would need to increase its revenue to roughly $272 billion annually to support a $6 trillion market cap. Wall Street forecasts estimate that Nvidia will grow its revenue by 53% this year and 25% next year. If the company can attain those benchmarks, it could reach a $6 trillion market cap as early as 2027. But don't take my word for it. Loop Capital analyst Ananda Baruah has just issued a Street-high price target of $250 on Nvidia stock, suggesting it could reach a market cap of $6.1 trillion over the next 12 to 18 months. The analyst cited supply chain checks and concluded that hyperscale adoption of generative AI and AI factories could generate spending of $2 trillion by 2028, with Nvidia as a major beneficiary. Given the widespread adoption of AI, I believe Baruah's call is prescient. It's important to remember that these gains won't come in a straight line. A review of Nvidia's charts reveals that the stock price has fallen 25% or more from its peak on at least five separate occasions, and in one case, it plunged 66%. On the other hand, it would be difficult to overstate the company's success. Despite the aforementioned volatility, over the past decade, Nvidia's revenue has grown by 3,735%, while its net income has surged 13,911%. Furthermore, the company's relentless innovation and improving financial performance have fueled a blistering increase in its stock price, which has soared 30,870%. Nvidia is currently selling for 31 times next year's earnings, which is certainly a premium. However, given its impressive track record, consistent execution, and the significant opportunity represented by AI, I'd argue it's a small price to pay for such a high-quality company. Do the experts think Nvidia is a buy right now? The Motley Fool's expert analyst team, drawing on years of investing experience and deep analysis of thousands of stocks, leverages our proprietary Moneyball AI investing database to uncover top opportunities. They've just revealed their to buy now — did Nvidia make the list? When our Stock Advisor analyst team has a stock recommendation, it can pay to listen. After all, Stock Advisor's total average return is up 1,070% vs. just 184% for the S&P — that is beating the market by 885.55%!* Imagine if you were a Stock Advisor member when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $668,155!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,106,071!* The 10 stocks that made the cut could produce monster returns in the coming years. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 13, 2025 Danny Vena has positions in Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy. Prediction: This Unstoppable Stock Will Be a Founding Member of the $6 Trillion Club by 2027 was originally published by The Motley Fool
