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SindyXR Thinks AI Could Help Address Healthcare’s Loneliness Crisis

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Christopher Hill, Chairperson & CEO of SindyXR, discusses loneliness, continuous care, AI-driven wellness communities, and why healthcare systems must rethink what happens between clinical appointments.

Christopher, before we talk about the technology, tell us about the moment you realised the healthcare system had a structural problem that nobody was building for. What did you see that others missed?

My “aha” moment was something I neither expected nor actively sought out.

As part of an angel investor group I participated in, I was introduced to SindyXR. Initially, I was absolutely not interested in healthcare. But during that same period, my mother was suffering from kidney failure and eventually passed away.

After her passing, my family discovered that she had been quietly leaning on friends in her age group who were dealing with similar illnesses. We were a close family, but in an effort to protect my father and siblings from her fears, she often turned to peers for emotional support between doctor visits.

What struck me was that people like my mother were doing everything the healthcare system asked of them — attending appointments, following treatments, and completing follow-ups — yet something critical was still missing.

They needed a support system to talk about loneliness, habits, fear, emotional wellbeing, and the realities of daily life between medical visits. None of that was being tracked, supported, or meaningfully understood within traditional healthcare systems.

That was the moment I understood what healthcare was missing, and ultimately why we built SindyXR’s Group Health Support System.

The WHO declared loneliness a global health epidemic in 2023. But SindyXR was already being built before that declaration. Were you solving for loneliness before it had that name?

As the WHO later acknowledged, loneliness directly affects health outcomes. After my mother passed away and I joined SindyXR, I quickly realised her situation was far from unique.

I watched people repeatedly engage with wellness apps and digital health platforms, only to abandon them within weeks. The reason was often the same: it felt like talking to a wall. There was no reciprocity, no sense of belonging, and no feeling that anyone else was walking the journey alongside them.

At SindyXR, we built for human connection from the very beginning — not as a feature, but as the core outcome.

One of the most revealing moments came through our partnerships with medical professionals such as Dr. Charles Cavo, Co-Founder and Chief Medical Officer of Pounds Transformation. Through our platform, patients were able to participate in guided peer support sessions between medical appointments, led by trusted healthcare professionals.

What surprised us most was not only how much patients benefited from speaking with one another, but how much doctors themselves learned simply by listening. Medical professionals gained deeper insight into how loneliness, stress, isolation, and emotional wellbeing directly shaped recovery and long-term outcomes in ways traditional clinical appointments rarely capture.

Most healthcare technology still focuses on appointments, diagnosis, prescriptions, and procedures. Why has the industry largely ignored what happens between those moments?

Healthcare has largely followed the money, and the money has traditionally been concentrated around clinical intervention.

The fifteen-minute appointment became the centre of the system because it was measurable, billable, and operationally structured. But the irony is that what happens between appointments often determines what happens at the next one.

The industry has spent decades studying outcomes while ignoring many of the underlying conditions that produce them.

That is the structural gap SindyXR was built to address.

Tell us about the name SindyXR, and the philosophy behind the tagline ‘Healthier Together. Wherever.’

Traditional one-to-one telehealth systems have proven limited over time. Research consistently shows that group-based, socially connected approaches often produce stronger long-term outcomes.

SindyXR represents connected community experiences delivered across multiple environments and technologies. “Healthier Together. Wherever.” reflects that philosophy directly.

Sometimes that experience happens in person. Sometimes through laptops or smartphones via telehealth. Increasingly, we are also seeing growing demand for augmented and virtual reality environments that emerged during and after the pandemic. We support those experiences as well.

The core idea is simple: healthcare should not feel isolated simply because it is delivered digitally.

You often talk about ‘relationship play’ as a design philosophy. How do you engineer human connection into a technology platform without making it feel artificial?

Relationship play means designing for reciprocity — creating environments where people both give and receive support in meaningful ways.

It is about building shared identity, shared context, and shared progress within communities.

What becomes particularly interesting in the AI era is that every interaction creates valuable experiential learning. While fully respecting HIPAA privacy and confidentiality standards, our AI systems learn how people cope, communicate, support one another, and respond emotionally during wellness interactions.

Over time, this creates contextual understanding that traditional healthcare systems rarely capture. It allows medical professionals to better understand behavioural and emotional patterns surrounding recovery, chronic illness, and long-term care across different demographics and conditions.

That kind of human-centred insight is incredibly difficult for isolated healthcare systems or standalone AI tools to generate independently.

If you could say one thing directly to healthcare leaders, digital health investors, and policymakers about what must change in continuous care, what would it be?

If you want to reduce hospitalizations, extend healthy years, and lower long-term pressure on healthcare systems, then you have to invest in what happens every day—not just at the edge of crisis.

The populations requiring continuous care most urgently—the aging, chronically ill, mentally vulnerable, and those recovering from trauma or loss—are often also the most socially isolated.

That is not a coincidence. In many cases, it is the mechanism through which conditions worsen.

Today, the technology finally exists to support continuous, community-driven care at scale, across geographies, and at a fraction of the cost of downstream intervention.

The real question is whether healthcare systems are ready to rethink what care actually means beyond the clinical environment itself.

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UNGOVERNED AI AGENTS AND SOPHISTICATED DEEPFAKES POSE CRITICAL THREATS FOR THE UAE & SAUDI ARABIA ORGANISATIONS, NEW KNOWBE4 RESEARCH WARNS

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KnowBe4, the global leader in digital workforce security, securing both AI agents and humans, today announced the launch of its new research report, “From Agentic Risk to Human Wins: Building a Culture of Security in the Era of Agentic AI.” The findings expose a dangerous reality for modern organisations in the United Arab Emirates and Saudi Arabia: autonomous AI tools are expanding the corporate attack surface faster than security teams can implement guardrails.

With agentic AI now widely embedded in day-to-day work, 84% of cybersecurity leaders in the UAE & Saudi Arabia report that AI agents are already taking actions within organisational workflows. However, a lack of governance is leaving organisations exposed; the report shows that around 1 in every 4 organisations (24%) report their use of AI is unapproved or ungoverned. This unmanaged “Shadow AI” effectively operates as an invisible layer of shadow employees handling sensitive organisational data without oversight.

Key Findings from the Report:

  • 88% of employees in the UAE & Saudi Arabia say that deepfake voice and video content is now so realistic it is impossible to know what to trust and 52% openly admit they could be tricked by a deepfake scam at work.
  • More than half (54%) of cybersecurity leaders in the UAE & Saudi Arabia report that mistakes during everyday work have had the greatest impact on their organisation’s cybersecurity in the past 12 months. Compounding this, 44% of employees acknowledge that time pressures and workplace distractions actively drive them to make critical security mistakes, even when they know the safe protocol.
  • 36% of cybersecurity leaders in the UAE & Saudi Arabia identify AI-enabled attacks as a key driver of future human-related cybersecurity risks.
  • 41% of employees reported that they commonly source their own agentic AI tools where options are unavailable or restrictive, leaving organisations vulnerable to cyberattacks. Concurrently, 52% of cybersecurity leaders report that the use of unsanctioned software and AI apps has actively impacted their security posture over the past 12 months.
  • Although 76% of security leaders feel “very well prepared” to handle unexpected or emerging AI-driven threats over the next year, 84% of them confirmed that improvements are still needed to ensure AI tools and agents operate within organization’s security policies and approved risk limits.

The report shows that organisations making progress are those who prioritise cybersecurity as a culture over a mere function, seamlessly incorporating secure behaviours into daily work. These organisations are creating environments where employees feel safe reporting mistakes, with 82% of employees agreeing.

“Cybersecurity has entered a volatile phase where organisations are trying to secure a hybrid human and AI workforce that’s changing more quickly than security leaders can keep up,” said Dr. Martin Kraemer, CISO Advisor at KnowBe4. “Attackers are moving at machine speed, using attacks such as deepfakes to target employees and prompt injections to hijack AI agents. Leaving almost a quarter of your corporate AI usage ungoverned is a massive open invitation to threat actors.”

The “From Agentic Risk to Human Wins: Building a Culture of Security in the Era of Agentic AI” report concludes that achieving “Wins” requires organisations to design systems that guide behaviour, build supportive cultures, and shift from tracking failures to reinforcing positive actions, and extending a security-first mindset across both AI agents and humans.

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Cequence Platform 9.0 Puts an AI Security Expert in Every Team’s Hands

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Cequence Security, the leader in application, API, and agentic AI protection, today announced general availability of Cequence Platform 9.0, an AI-native release that fundamentally changes how users interact with API security tools. Platform 9.0 ships with a built-in AI Assistant, an open Model Context Protocol (MCP) server that exposes every platform capability to an organization’s agents or automation workflows, a compliance-ready risk rules library mapped to 25 global regulatory frameworks, and a re-architected API security engine built to handle the largest enterprise API estates without performance degradation.

Agentic AI is transforming how enterprises interact with their customers, and internal IT teams are adopting AI agents faster than their security tools can keep up. Unlike vendors that add a simple chatbot to their existing product, Cequence took the opposite approach; the entire platform is AI-native and open, enabling customers to use Cequence’s built-in model or one of their choosing. With Platform 9.0, any practitioner can open a conversation and start asking the questions they actually care about, without knowing the interface, navigating menus, or understanding how the product works. The platform finds the answers. Teams with sophisticated AI workflows can use their own agents to directly drive these same capabilities through the open MCP architecture, without the need for custom integration.

Ameya Talwalkar, CEO and Co-Founder at Cequence, said: “Most vendors looked at the agentic era and added a chatbot. We looked at it and rebuilt the architecture. Cequence Platform 9.0 exposes the entire Cequence platform through an open MCP architecture so any agent can operate it directly, whether through our built-in AI Assistant, or a customer’s own agent. That is what AI-native actually means: the UI becomes optional. We are building for the way the agentic enterprise already works, while making sure a human approves every change along the way.”

AI-Native Platform with a Built-In AI Assistant

Cequence Platform 9.0 ships with a built-in AI Assistant that answers plain-language questions such as “What is my biggest risk right now?” with ranked, evidence-backed findings drawn from live platform data. Unlike most security chatbots that only deliver value in the hands of experienced practitioners, the Cequence AI Assistant arrives with skills built on years of application, API, and data protection work in high-traffic enterprise environments, able to guide practitioners of all skill levels from day one.

Agent capabilities in Platform 9.0 include:

  • Drive valuable actions from simple conversations: use plain-English to easily and quickly drive results. Have the AI Assistant classify APIs, identify risks, draft rules, and create reports, all without navigating the UI.
  • Open MCP server: any MCP-capable agent, SOAR platform, or automation workflow can interact with, configure, and pull insights from the platform through an open API contract, with no custom integration, incorporating API security into broader agentic workflows
  • Human in the loop: read actions run freely; every proposed write shows the exact change and requires explicit human approval before anything happens
  • Full transparency: every answer exposes the AI Assistant’s reasoning and the underlying tool calls; when it lacks a tool for a task, it says so rather than guessing

Shreyans Mehta, CTO and Co-Founder at Cequence, said: “Most security chatbots are only as useful as the person asking the questions, which means they fall flat in the hands of anyone who is not already an expert. We built the Platform 9.0 agent differently. It runs a full agentic loop, planning which tools answer the question, calling them, and synthesizing ranked, evidence-backed recommendations while showing you exactly how it got there. When it does not have the tool to do something, it tells you instead of guessing. That governance-first design is not an afterthought. It is the same conviction behind the Cequence AI Gateway, and it is what makes this safe to put in front of any practitioner from the start.”

Compliance-Ready Risk Rules and Compliance Packages

Compliance is the most common forcing function for an API security purchase, and the most common place programs stall. Platform 9.0 ships the rules, frameworks, and reports to make customers audit-ready immediately, with no professional services and no custom rule development required.

Compliance capabilities in Platform 9.0 include:

  • 250+ pre-built risk rules: Mapped to 25 global compliance frameworks including OWASP API Security Top 10 (all versions), PCI DSS, GDPR, HIPAA, SOC 2, ISO 27001, NIST CSF, DORA, NIS2, LGPD, SAMA, MAS TRM, and additional regional frameworks across the Americas, EMEA, and APAC
  • One-click audit-ready reports: each report builds from live data, maps findings to the framework’s specific controls, scores risk by control area, and provides remediation guidance for every gap; reports can be company or partner branded
  • Observe mode: see how proposed rules perform for testing purposes without raising formal issues, allowing teams can add frameworks without a flood of unreviewed findings
  • Test panel: validates any rule against sample request and response data before activation

Re-Architected API Security Engine Built for Enterprise Scale

Agentic AI is accelerating API endpoint growth faster than any prior technology wave. Platform 9.0 includes a complete rebuild of the engine that discovers, catalogs, and scores risk across an organization’s API estate, delivering higher performance at a smaller CPU footprint.

API security engine improvements in Platform 9.0 include:

  • 50x increase in API endpoints supported: with sub-five-second page load times across every view regardless of endpoint count
  • Reduced compute costs: dramatic CPU footprint improvements translate directly into lower infrastructure costs, especially for on-premises deployments
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Magna AI and Saudi Xerox Establish Strategic Framework to Advance Sovereign AI Infrastructure Across Saudi Arabia

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Magna AI, Inc., the global integrated‑value‑chain sovereign AI transformation leader established through a partnership between Trend Micro and Wistron Digital Technology Holding Company (WDH), powered by NVIDIA, today announced a strategic collaboration with Saudi Xerox, official representation of Xerox Trading Company in Saudi Arabia that is redefining the workplace experience by providing solutions to improve business processes, automation, and printing technology. The initiative was formalized during the Global AI Show 2026 in Riyadh by Dr. Moataz BinAli, Chief Executive Officer of Magna AI, and Mehmet Sezer, General Manager of Saudi Xerox.

The strategic framework will enable both companies to advance AI data centres, sovereign AI Factory capabilities, secure AI platforms and large-scale AI adoption for both government-led national initiatives and enterprise customers. The collaboration is aligned with Saudi Arabia’s digital transformation agenda and Vision 2030 objectives, with a focus on enabling secure, scalable, and locally relevant AI adoption across the public and private sectors.

The collaboration comes amid rapid expansion of the Kingdom’s AI infrastructure sector. Saudi Arabia’s AI data center market is forecast to grow from USD 0.63 billion in 2025 to USD 1.74 billion by 2030, representing a compound annual growth rate of over 22%, according to Mordor Intelligence. This growth is driven by Vision 2030 digital investment, government data-sovereignty mandates, and rising demand for locally hosted AI workloads.

“Saudi Arabia is building one of the most ambitious national AI agendas in the world, and that requires infrastructure with governance and security built in, shaped around the organization’s own requirements rather than a vendor’s defaults which creates the conditions for genuine long-term control,” said Dr. Moataz BinAli, Chief Executive Officer, Magna AI. “By combining Magna’s full value-chain AI Factory capabilities with Saudi Xerox deep on-ground presence in the Kingdom, we can help government and enterprise organizations move from AI ambition to AI at scale on infrastructure they own and control. This alliance also reflects our commitment to working with local partners to build the AI capacity, resilience, and ecosystem required to support long-term national transformation.”

Under the agreement, Magna AI will drive AI Factory architecture, platform development, AI security, and governance frameworks, while Saudi Xerox will support local infrastructure integration, security operations, compliance alignment and on-ground execution across the Kingdom.

The two companies intend to collaborate across several areas, including sovereign AI Factory development for large-scale model training, fine-tuning, inference, agentic AI operations, and data pipelines; secure AI operations aligned with Saudi data-residency and cybersecurity requirements; sector-specific AI applications for government and enterprise; and AI skills development and capacity building.

“Saudi Xerox is committed to supporting the Kingdom’s digital transformation through advanced IT, cloud, managed services, and cybersecurity capabilities,” said Mehmet Sezer, General Manager, Saudi Xerox. “This joint effort brings together Magna’s AI platform and security expertise with our established services and execution capabilities in Saudi Arabia, enabling national institutions and enterprises to adopt advanced AI with confidence and in line with local regulatory requirements. Our aim is to help organizations to adopt AI in a secure, compliant, and practical way that supports measurable business and national outcomes.”

Magna AI is the Title Sponsor of the Global AI Show 2026. Throughout the two-day event, Magna AI is showcasing is its sovereign AI infrastructure and enterprise AI platforms, as well as it’s security and industry-focused solutions. Magna AI leaders are also offering perspectives to organizations across industries looking to build production-ready AI that delivers measurable business outcomes. 

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