⚛️📂 S-Web 6 VC AI CMS – A Much Stronger UKRI Validation Process ✨
By Nick Ray Ball
Sunday – 14:04 GMT – February 9, 2025
1. The Problem: £8.8 Billion at Stake — But How Much Is Real Innovation?
£8 billion. That’s the annual budget of UKRI. But how much of that is funding AI-generated fiction?
We tested it. We fed GP-AI Gatekeeper’s core ideas into GPT-4. The AI generated a flawless-sounding pitch. But there was one problem: it was complete nonsense.
"Integrity in patient records is paramount for effective healthcare delivery. The GP-AI Gatekeeper incorporates mechanisms to detect and flag inconsistencies or fraudulent activities within medical records. By ensuring the authenticity of patient data, healthcare providers can make informed decisions, and trust in the healthcare system is bolstered."
Sounds great, doesn’t it? But it doesn’t work.
- It assumes fraud is a technical issue—when in reality, it’s a systemic problem caused by administrative pressure on doctors.
- It assumes AI can detect medical record fraud—but fraud is self-reinforcing. All records appear consistent because they are all consistently false.
- It assumes doctors need AI to verify patient records—when in reality, AI needs to protect patients from administrators altering records to avoid lawsuits.
This is the central issue with Innovate UK’s current funding process: judges cannot tell the difference between an AI-generated pitch and a well-researched, technically viable solution that understands the problem in the first place.
2. Exposing the AI-Generated Grant Application Industry
In December 2022, after updating my LinkedIn profile to mention AI, I was approached by a company offering a grant-writing AI.
For £2,000, they promised to write a “winning” Innovate UK application.
They told me that all I needed was a company, a financial director, and a typical corporate “C-Suite.” With that, I would answer a few questions, and they’d use their AI trained to specifically win the competition — regardless of whether I had a viable idea.
If Innovate UK receives 200 applications and only funds 10, that means 190 are rejected. But what if 100 of those applications were entirely AI-generated, written by companies with no prior research development other than a few people sitting in a room making a wish list of ideas for AI to write up as a winning formula? How can Innovate UK judges tell the difference?
3. The MI6 Example: If AI Can Fool UKRI, It Can Fool Intelligence Agencies Too
This isn’t just an Innovate UK problem. Via the UKRI KTN Innovation Exchange, MI6 recently ran a competition asking for AI to ‘capture human judgment in decision-making.’ The question was so vaguely framed that any AI could generate a “perfect” answer—sounding sophisticated without offering a practical, research-backed solution.
The UK’s intelligence agency faces the same vulnerability—a competition format relying solely on written text-based applications leaves the process open to ill-conceived ideas, made to sound polished by generative AI.
Had I entered that competition, my answer would have been straightforward:
- Frame the problem correctly: Instead of asking how to capture human judgment, the real question should be: How can we combine behavioural science, game theory, data, and AI to assist security services in real-time decision-making?
- Show evidence: We began developing this approach in 2011, when we created a psychology-based CRM system designed for Facebook adoption. The system featured a seven-stage psychology test, using questions with hidden psychological significance—for instance, “What is your favourite animal?” The respondent's description of the animal would unknowingly reveal what they sought in a partner. See the original test here.
- Demonstrate scalability: The GP-AI Gatekeeper’s decision tree logic isn’t just designed for healthcare; it applies equally to MI6, HMRC, and DWP, providing structured, logic-driven decision-making in high-stakes environments.
- Highlight real-world use cases: The OKR-based behavioural science reward system—a core component of GP-AI Gatekeeper—integrates AI, game theory, and behavioural science to enhance decision-making, improve accountability, and drive measurable outcomes.
This was a missed opportunity for MI6—just as Innovate UK is missing real innovations due to the constraints of using outdated, text-based CMS forms for competition entries. Until these processes evolve to incorporate interactive, data-backed validation methods, they will remain vulnerable to AI-generated wish lists instead of genuine, research-backed technological advancements.
4. The Real Cost of Medical Record Fraud & The Lucy Letby Case
While Innovate UK struggles with AI-generated grant fraud, the NHS is drowning in another kind of fraud: Medical Record Fraud.
I am a victim of medical record fraud.
- I have recorded and analyzed over 100 hours of NHS interactions.
- The fraud is not hypothetical. It is systematic.
Take the Lucy Letby case, where she was accused of murdering seven infants and is now in jail, serving 15 life sentences. If hospital negligence played any role in these deaths, the evidence would never have been recorded in the first place.
- Doctors and nurses are systematically trained never to write anything in medical records that could indicate negligence.
- No evidence of wrongdoing exists—because it was never documented.
- Medical records are designed to protect hospitals from lawsuits, not to ensure patient safety.
The problem isn’t just that there’s no record to investigate—it’s that this very practice may have caused the deaths in the first place.
When critical medical failures aren’t recorded, the next doctor or nurse in the chain is left completely unaware of the previous issue. They won’t correct the mistake because they don’t even know it happened. This creates a chain reaction of preventable errors, where patients suffer not just from initial negligence, but from a system that ensures those mistakes remain hidden.
Drawing Parallels with The Good Nurse
One cannot help but draw disturbing parallels between the crime Lucy Letby is accused of and the events depicted in the Netflix film The Good Nurse. The film, based on a true story, follows the case of Charles Cullen, a male nurse who admitted to killing over 40 patients across nine different hospitals in the United States. In reality, some investigators estimate the number of victims could be closer to 400—making him one of the most prolific serial killers in medical history.
But here’s the real scandal: it wasn’t just Cullen who was guilty.
Cullen’s crimes were enabled by hospital administrators, who repeatedly covered up evidence of his wrongdoing and simply allowed him to move to another hospital rather than reporting him.
In his confession, Cullen himself asked, "Why didn’t you stop me sooner?" The answer was simple: money. Each hospital feared lawsuits and reputational damage more than they feared losing more patients.
Now, before dismissing this as a uniquely American problem—consider this: so is the NHS.
Most people wrongly believe the NHS is a single, unified public service. It is not. The NHS is, in reality, a cartel of over 1,000 private healthcare entities, each vying for government funding while doing everything possible to avoid lawsuits and scandals.
And just like in the U.S., protecting institutional reputation comes before patient safety.
In both cases—whether in The Good Nurse or the NHS—the real killers weren’t just the individuals committing the acts, but the administrators who enabled them.
Lucy Letby may or may not have committed the crimes she was accused of—but what is undeniable is that if hospital negligence played a role in these deaths, there would be no record of it.
Just like in The Good Nurse, where hospitals let a killer walk free rather than face legal scrutiny, NHS administrators ensure that medical negligence is never written down in the first place—making real accountability impossible.
This is not just a flaw in the system—it is the system.
5. The Government’s Multipurpose CMS: The DWP Oxymoron
At some point, somebody convinced the UK government to pay for a deeply flawed, archaic CMS—and then mandated its use across every government department.
This isn’t just a poor IT decision—it’s a textbook example of how government inefficiency actively harms people, sometimes in ways that worsen suffering for the most vulnerable.
Michael Lewis, in The Premonition, describes how the CDC’s failure in handling COVID-19 wasn’t just incompetence—it was the result of disconnected government departments operating in silos, failing to share solutions even when one had exactly what another needed.
The UK government’s multipurpose CMS is a perfect, modern-day example of this.
Let’s compare two very different groups of people using the same, broken system:
- Innovate UK applicants—entrepreneurs, researchers, and companies, mostly healthy, sitting comfortably in their offices, writing proposals.
- Department for Work and Pensions (DWP) claimants—people who are injured, disabled, in pain, struggling to access benefits they desperately need.
Both groups use the same CMS—but here’s the catch: Innovate UK spent a few hundred pounds paying a programmer to fix a basic issue with special characters.
Meanwhile, DWP has left its version completely unfixed.
- Why was the CMS ever built without handling basic special characters (like £, “, and –) in the first place?
- Why did Innovate UK get the fix but not the DWP?
- Why are injured, disabled, or financially struggling people forced to battle a system that constantly crashes, rejects uploads, and breaks down?
We have over 10 hours of video documentation showing how this broken CMS makes life hell for claimants.
- Bug reports were submitted—no response.
- Complaints were raised—no action taken.
- The system is so bad it raises the question: Is this deliberate? If claimants can’t use the system, they can’t claim benefits.
So why does Innovate UK think its CMS is anything special? It’s just a slightly less broken version of the same government-wide failure. The real scandal isn’t just that the CMS is outdated and dysfunctional—it’s that the government refuses to apply simple fixes across all departments, even when they already exist.
This is why we need a system designed for the modern age—not just to fix grant applications, but to ensure that technology serves the people who need it most.
And that brings us to S-Web 6 VC AI CMS—a solution built to replace the outdated mess Innovate UK and the rest of the government rely on.
(The following bullet points have a few errors, for example when it says one has to rely on handmade graphics when actually you can’t even rely on those.)
6. 🚀S-Web 6 VC AI CMS – A Much Stronger UKRI Validation Process
❌The Critical Failures of the Current UKRI/Innovate UK CMS 🆘
The current CMS system is archaic, restrictive, and incapable of serving modern innovation needs. Instead of enabling transparency, collaboration, and validation, it forces all applications into a rigid, form-based structure that stifles creativity and accountability.
Here’s what it cannot do:
Lack of Dynamic Content & Validation Features
- Only allows text-based entries, with images restricted to PDF attachments—limiting the ability to convey complex ideas effectively.
- No video integration—applicants cannot demonstrate prototypes, showcase presentations, or explain ideas visually.
- No ability to add links that provide further context, research papers, technical documentation, or external validation sources.
- Cannot generate interactive graphics to visually explain data, concepts, or market validation.
- No AI-powered validation process—there’s no way for an AI system to pre-score applications, detect weak research, or flag AI-generated nonsense.
Lack of Collaboration, Research Integration & AI-Powered Networking
- No collaboration systems built in—applicants cannot work across teams, collaborate with other researchers, or build upon existing submissions.
- No networking features—it fails to connect applicants, researchers, and potential partners within the UKRI ecosystem.
- No ability to cross-reference or integrate research—a Swapping Menus Function could allow different teams to pull validated data from other applicants who are willing to share their research, creating a collaborative innovation framework.
- Not integrated with CRM (Customer Relationship Management) or OKR (Objectives & Key Results) systems—making it useless for tracking long-term project milestones or evaluating performance.
No Public or Private Showcasing of Innovation
- Does not create online web portals—completed applications vanish into a static database, rather than being turned into permanent, living project profiles that could attract future investors, partners, or policymakers.
- No ability to generate private, password-protected investor presentations—applicants cannot professionally showcase their work to VCs, angel investors, or government bodies post-application.
- No mechanism for Innovate UK to extract the best results and showcase them on public descriptions, UKRI reports, or external platforms.
Technologically Outdated & Not Future-Proof
- Not a voice-command system—users must type manually, rather than being able to dictate applications and navigate the CMS hands-free.
- Not integrated with generative AI—it cannot assist applicants in improving their applications with intelligent AI recommendations, structured formatting, or grammar and clarity enhancements.
- Cannot generate images, diagrams, or AI-powered visual content—leaving applicants to rely on static, manually-created graphics.
- Cannot generate videos, voice-overs, or AI-powered demos—meaning applications lack engaging, media-driven explanations.
- Cannot create an app!—despite UKRI funding cutting-edge digital solutions, its own CMS lacks the ability to support app-based projects or integrations.
Fails to Enable High-Impact AI-Driven Competitions
- No way to create AI-driven competitions that foster economic breakthroughs, where each entrant plays a role in a larger collaborative framework.
- No ability for entrants to interact, learn from each other, suggest improvements, or refine their applications based on real-time feedback.
- No direct integration with UKRI’s website or app, meaning UKRI and Innovate UK exist in isolated silos, missing opportunities to create a unified innovation ecosystem.
How S-Web 6 VC AI CMS Fixes This
The problem with Innovate UK’s current CMS is that it forces innovation into text-based boxes, preventing applicants from showcasing their ideas effectively. The solution? S-Web 6 VC AI CMS, which is designed to solve every major problem in the current system.
Applicants Build Websites Instead of Static Forms
Instead of being limited to rigid text-based forms, applicants can create dynamic, interactive presentations that:
- Allow multimedia integration, real-time validation, and structured presentations
- Imagine submitting a fully realized software tool like Nudge CRM AI. Instead of forcing applicants to describe it in text, they can create a dedicated page, complete with screenshots, videos, and technical demonstrations.
- Make applications much easier for judges to evaluate
- A picture paints a thousand words, a technical drawing even more.
- Right now, Innovate UK only allows images as PDF attachments, which means judges must dig through PDFs instead of seeing images in context.
- Before, only the best English writers won grants. Now, with generative AI, it’s about who can phrase things the best with ChatGPT—not who actually has the best idea.
- Where a picture paints a thousand words, a video paints a million
- Look at our 13-minute GP-AI Gatekeeper video .
- In just a quarter of the time it would take to read a 10-page application, you can fully understand the concept.
- This video took two weeks to produce in Descript.
- For dyslexic applicants, text-based applications are an unnecessary barrier. (I personally had this issue in technical college photography, where my work was chosen by the college as the best, yet I failed the course because 50% of the mark relied on an English review of one’s own work.)
🚀S-Web: A 23 Year Pedigree in CMS Design📂
Innovate UK’s current CMS isn’t just outdated—it’s decades behind what we were doing in 2002.
The Proven Track Record of S-Web
S-Web 1 (2002): CapeVillas.com CMS
- Designed to allow every office member to upload and modify property listings in real-time.
- Included photograph and virtual tour uploads—functionality that Innovate UK’s CMS still lacks today.
- Live Example: CapeVillas.com — specifically Classic Website Version.
S-Web 1.2 (2006): Affiliate Property Management System
- Evolved into a fully integrated booking system with villa owner access, real-time property reviews, and advanced search functions.
S-Web 2 (2010): Website Duplication for Affiliate Resellers
- Introduced full project and website duplication for affiliate resellers, allowing them to launch fully stocked websites without manually uploading products.
- Unfortunately, due to poor bug reporting between users and developers, this system was eventually scrapped—a lesson that shaped later iterations.
S-Web 3 (2013): Rebuild with CMS Logic
- Redesigned from the ground up, allowing access to old databases while integrating AI-based scoring systems.
- Introduced CMS logic, assigning point-based scores to product features.
- Example: Seven types of swimming pools were categorized from Dip Pool (20 points) to Spectacular-Length Pool (200 points). The AI could auto-generate property ratings based on multiple factors, mimicking a real-life expert evaluation.
S-Web 4 (2016): The Birth of Nudge CRM AI
- CRM integrations — introducing the ‘My Favourites, My Website’ feature
- The Psychology of Group Decision-Making
- Whether it’s a corporate boardroom or a group of families choosing a villa, decision-making is often chaotic.
- If one person in that group has a far superior presentation tool, they influence the entire group—and that’s exactly what we built.
- In under 15 seconds, a user could turn their favourites list into a dedicated web page—complete with comments, sharing features, and group feedback functionality.
- The result? A fully interactive tool that guided the entire group into making decisions using one system.
- This was the beginning of Nudge CRM AI.
- Other Key Advances
- Automated API connections to suppliers—allowing for real-time pricing and inventory updates.
The Villa Secrets Secret
S-Web 5 (2019) – The Ultimate Affiliate & Reseller System
The Experience Africa Experiment
- By adding the Experience Africa menu to Cape Villas, the site earned a $10,000 referral—proving the potential of a multi-networked website ecosystem.
- This led us back to S-Web 2’s original vision—allowing complete website duplication for affiliates.
A Fully Integrated Affiliate Network
- Instead of forcing resellers to upload hundreds of products manually, we built a system where they could instantly generate an entire website, customized with:
- Their own branding
- Their own contact details
- Automatic price updates and real-time inventory syncing
- The idea? Hundreds of thousands of interconnected sites, each run by different businesses, with the ability to seamlessly swap and sell each other’s products.
📂
🚀S-Web 5.1 Websites (2020) – The Birth of the Fastest CMS🏃♀️📂🏃♀️
The Simplest Way to Build a Website – No Developers Required
- Row-based structure (instead of complex widgets) allowed anyone to build a fully functional homepage in under a minute.
- Example: The homepage of Lux Guides was built in 51 seconds. (See it in action: S-Web CMS Demo.)
The Future Vision: AI-Powered Website Creation by Voice Command
- Seeing how easily websites could be made, we realized: why not build a system that lets users create an entire site using only voice commands?
- This idea was set for S-Web 6—but the foundation was built in S-Web 5.2.
S-Web 5.2 (2021) – A CMS for High-Level Presentations
A CMS Designed for High-Level Presentations
- Redesigned for non-travel applications—with a special focus on creating investor-ready pitch websites for:
- VCs
- Government agencies
- Grant applications
- Includes secure encryption for private competition entries.
- Public Example: Nick Ray Ball’s Personal Site (Note: mobile CMS navigation isn’t enabled in this demo.)
- Encrypted Demo:
- S-Web 6
- Username: Innovate UK
- Password: UK1
S-Web 5.2 (2025) – The Real Example of How Applications Should Be Presented
🔜 Coming in March 2025, SiennaAI.net will showcase how a modern grant application should look. Instead of text-based forms, it will be a fully immersive, interactive presentation of GP-AI Gatekeeper, designed to give judges a deeper understanding in a fraction of the time.
This will be built on S-Web 5.2, which, while already light-years ahead of Innovate UK’s CMS, is only a stepping stone to what comes next: S-Web 6. S-Web 6 will not just be a better CMS—it will redefine the future of website and app creation.
Why We Must Build S-Web 6
S-Web 5 has been built on an older version of PHP, which means that while it remains highly functional, it cannot be scaled into the future without a complete rebuild.
We’ve known this for a while, and over time, we have been designing S-Web 6—not just as an upgrade, but as an entirely new foundation built on the latest technologies.
This is not just about improving what we already have. It’s about creating a brand-new system from the ground up, leveraging AI, cloud computing, and modern development frameworks to do everything we always wanted to do, but were previously held back by the technological limitations of the past.
🚀S-Web 6: The Next Evolution in AI-Powered CMS⚛️📂
While everything discussed above demonstrates the power of S-Web 5.2, it’s crucial to recognize that this is only the foundation. S-Web 6 is not just a CMS upgrade—it is a global disruptor in website and app creation, set to challenge WordPress and redefine digital infrastructure.
The design for S-Web 6 began at the end of 2022 and continues to evolve. Unlike previous versions, which were built on legacy PHP systems, S-Web 6 will be cloud-native, leveraging platforms like Microsoft Azure to deliver unprecedented speed, efficiency, and AI integration.
The Next Generation of CMS: AI-Entangled, Automated, and Dynamic
The future of search won’t be dictated solely by external engines. PageRank and backlinks will still matter, but we’re already seeing a shift — especially with models like Google Gemini — where what the AI knows, and where it sources its answers from, is becoming more important than traditional ranking. People are no longer just asking search engines; they’re asking AI directly.
This means the future of visibility will be determined by two things: what AIs are trained on, and the live databases or web environments they can access. In this future, AI built directly into websites becomes the key to discoverability. That’s why S-Web 6 is integrating AI directly into the core of the CMS — or more precisely, the CMS Mothership 🛰️🛸🛰️ — turning every app and website into a living ecosystem that dynamically evolves based on user interaction.
Unlike traditional CMS platforms like WordPress, where AI is an add-on, here the AI becomes an embedded operating system — tied to microservices, APIs, and dynamic data feedback loops.
This architecture is designed to work hand-in-hand with large language model AIs to evolve content, handle interaction, and optimize websites in real time based on user engagement.
While ambitious, the 2024 vision specified that the optimum system would build different versions of ⚛️Sienna AI — and the broader 10 Technologies roadmap — across multiple cloud platforms: Azure, Google Cloud, Amazon, Meta, and Apple. In the future, these five major ecosystems will all operate their own large language models, each recommending and retrieving content from the systems they know best. By embedding ⚛️Sienna AI directly into those systems, and connecting each site to its host model’s ecosystem, discoverability is deeply entangled with architecture.
If an AI helps generate your content, it’s far more likely to know what your content says. That alone may push it to prioritise your site in relevant responses. Combine that with real-time updates — triggered by user comments, reviews, or activity — and websites and apps created with S-Web Mothership 🛰️🛸🛰️ technology will be alive with AI-authored refinements, rewriting pages and giving them the authority of news sites.
Take UKRI as an example: if each competition entry had its own webpage with a comment section, the AI could evaluate those comments, summarise insights, and co-author ongoing updates. Some feedback may be discarded — but others might directly improve the project or sharpen its goals. This isn’t just comment moderation — it’s AI-enhanced peer review and continuous improvement, at scale.
And of course, in terms of Stronger UKRI Validation, this kind of living, breathing grant application can be fully assessed by AI — not only pre-evaluating entries, but also tracking the progress of every project in real time.
Meanwhile, the Swapping Menus Function provides a second layer: intelligent recommendation and affiliate monetisation. Originally designed to let users talk to Sienna AI and add products or services directly to their site, it created passive income — as demonstrated when Cape Villas earned $10,000 from an Experience Africa booking. This model could easily extend to UKRI competition entries, turning pages into revenue generators and collaboration hubs. One innovator’s tools could seamlessly support another’s project — enabling decentralised innovation networks that are greater than the sum of their parts.
Beyond a CMS: A Disruptive Economic AI
S-Web 6 isn’t just a revolution in travel, it’s an economic AI. Our work has evolved from early concepts into a macroeconomic AI framework, entangled with projects that date back over a decade:
The Unexpected Evolution: From RSI to AI-Driven Software Engineering
In 2024, due to repetitive strain injury and systemic failures within the NHS, I could no longer use a keyboard. This forced a shift to vocalizing development plans, ultimately leading to a deep exploration of modern software engineering.
🔗 S-Web 6 VC🚀 'Sienna' AI CMS 🌀 for David Farley – Author of Modern Software Engineering (Listen on Spotify)
But when Spotify retired its CMS, I lost the ability to edit episodes in segments. This pushed me toward a new presentation style, one that focused not just on individual features, but on telling the full story of what would become Sienna AI and the UK Butterfly project—a true macroeconomic AI discipline with 14 years of history embedded within it.
🎙️ Sienna AI UK Butterfly 2024 (Listen on Spreaker)
S-Web 6: A Call for Collaboration & Funding
We are not just showcasing S-Web 5.1 in March—we are building S-Web 6 to redefine how websites, applications, and economic AI function in the future. To do this, we are seeking collaboration, funding, and partners who see the potential of an AI-powered CMS that surpasses anything in existence today.
This is what Innovate UK, UKRI, and the entire UK government funding system must embrace. The future of innovation cannot be built on a form-based CMS—it must be dynamic, AI-powered, and globally scalable.
A Unified Vision for UK Innovation with ⚛️Sienna AI⚛️
Right now, UKRI's innovation framework is fragmented, inefficient, and failing to realize its full potential. The £8 billion annual budget is scattered across hundreds of disconnected projects, each one treated in isolation, never truly coming together to build something greater than the sum of its parts.
But what if it did?
What if, instead of funding a collection of disjointed experiments, UKRI operated like a master architect—curating, connecting, and entangling every funded project into one singular, world-changing vision?
That’s what Sienna AI and S-Web 6 can enable.
From Individual Projects to a Unified Ecosystem
Take medical AI. A while ago, I spoke with a multi-competition-winning company specializing in AI-powered medical scanning technologies. Their work was impressive—but it was just one of many, many teams across the world working on the exact same thing.
Will their work lead to a breakthrough? Maybe. Will it be patentable? Probably not. Will it even be remembered in five years? Unlikely.
But now imagine if all of these grant-winning medical AI projects—every fragmented piece of research UKRI has ever funded—were brought together into something truly revolutionary.
Imagine a world where the technology developed in these projects isn’t just published in an academic journal and forgotten, but actively used in a national AI-powered medical system.
Take GP-AI Gatekeeper, Stage 16—a future concept where you receive the results of your medical scan before you even put your shoes back on.
Is this possible? Yes.
The scan itself happens in seconds. The data can be instantly fed into AI models built using the very same AI-powered scanning technology that UKRI has already funded. The results are returned, analyzed in real-time, and before the patient even leaves the scanner, they know what the next steps are.
This is the kind of breakthrough that changes lives.
But right now? This can’t happen.
Because UKRI doesn’t own the technology it funds.
It doesn’t see the value in bringing all these pieces together into a larger framework. It doesn’t think in ecosystems.
And that’s a mistake. A fundamental, catastrophic mistake that is keeping UK innovation from reaching its true potential.
The Problem is the System Itself
Using Sienna AI (S-Web 6) instead of a basic CMS that we outperformed in 2002, the entire UKRI funding system could be transformed.
- Instead of hundreds of disconnected competitions, you create a vision for the future and execute it.
- Instead of researchers working in isolation, every funded project is tracked, connected, and made accessible to others working in the same space.
- Instead of reinventing the wheel again and again, the UK builds upon itself, rapidly accelerating breakthroughs by collaborating, not competing.
And it’s not just about medical AI. This applies to everything.
Right now, there is no central database of funded experts.
Let’s say you need someone who specializes in programming AI APIs into OpenAI’s system.
Or you need someone who can replicate OpenAI’s technology altogether, like DeepSeek.
You’d think UKRI’s existing network would have this covered—after all, it has funded thousands of research projects.
But you’d be wrong.
Because there is no searchable network, no direct collaboration system, no way for researchers to actually connect.
Instead, it’s deliberately siloed, and one might even argue this is intentional—because it ensures that the same small groups keep winning grants again and again, with no accountability, no synergy, and no progress toward a larger goal.
The UK Needs a Real Innovation Ecosystem
Instead of all these disjointed, easily forgotten projects, with Sienna AI and the OKR system, the UK could build something extraordinary.
And this system wouldn’t just advance UK innovation—it would be commercially viable worldwide.
Because a fully integrated, AI-powered, collaboration-first innovation platform doesn’t exist anywhere else.
With Sienna AI, the UKRI budget wouldn’t just fund individual projects—it would fund the future.
This isn’t about funding better research. This is about creating the ecosystem that makes world-changing breakthroughs inevitable.
This is how the UK stops lagging behind.
This is how the UK leads.
🚀 The question isn’t whether UKRI should do this.
🔑 The question is: How long will they wait before they realize they must?
Final Thoughts
This is before we’ve even touched macroeconomic AI. This is just the beginning.
The real transformation begins when UKRI stops thinking about short-term grant cycles and starts thinking about engineering a new world.
And that’s exactly what we’re building.
Thank's for reading :)
