Empowering Regulated Industries Through CloudHub’s Scalable, Compliant, and AI-Ready Solutions!

Healthcare faces a growing need for faster and more accurate diagnostics. In many places, especially where resources are limited, patients wait too long for answers. This delay puts lives at risk. Artificial intelligence offers a path forward. It can speed up decisions and make expert-level care available in new ways. Dermatology is one area where this shift is already clear. Early action changes lives. But without the right tools, many people never get that chance.

Susant Mallick stands at the center of this change. He leads with focus and deep knowledge. At CloudHub, his work has pushed healthcare systems toward new standards. His latest step is BeautiFAI, a tool that turns any smartphone into a powerful diagnostic device. It reads skin images with high accuracy using deep learning and large datasets. This reduces delays and lowers the pressure on doctors. It also gives more people the chance to act early.

Before CloudHub, Mallick shaped compliant AI solutions at AWS. He built models that supported clinical trials and real world data studies. He led the design of DataCube and HealthQ. These platforms help healthcare teams organize and understand complex information. They support better outcomes and stronger decisions.

His journey spans work with Amazon and Cognizant. He applies this global experience to local needs. He builds tools that reach patients where they are. His goal is simple. Make smart healthcare available outside hospital walls. Use AI to close the gap between need and care.

A Technical Leader with a Healthcare Mission

Susant’s background in engineering, data modernization, and cloud systems set the stage for his healthcare breakthroughs. His early career, spanning mainframe programming, Java, C#, and machine learning, led to senior roles at Cognizant managing healthcare and life sciences projects worth over $50 million. At Amazon, he guided global professional services teams in moving clinical systems onto the cloud.

In 2022, Mallick left a lucrative position at Amazon to found CloudHub. He aimed to challenge the status quo in healthcare by building AI and cloud-driven solutions that addressed clinical, regulatory, and operational roadblocks. From the outset, healthcare wasn’t a sidebar, it was the core mission.

At CloudHub, Mallick brought together teams from Amazon, Microsoft, and other leading tech organizations. They made healthcare’s rigorous demands, the need for compliance, security, interoperability, central in design decisions. Under his leadership, CloudHub grew into a provider of specialized platforms for data engineering, AI pipelines, compliance automation, and security, all tailored specifically for health systems.

What sets Mallick apart is his clarity: healthcare innovation must address medical realities, not showcase tech novelty. That clarity informs every strategic move, from his focus on dermatology via BeautiFAI to enterprise-grade compliance tools. This is purposeful innovation: built for clinicians, patients, and healthcare executives, not technological impressiveness.

BeautiFAI: Free AI Skin Analyzer for All

Dermatology is a fitting test case for AI in healthcare: common conditions, shortage of specialists in remote areas, and opportunity for visual diagnosis. BeautiFAI, a key offering from CloudHub, operates through a smartphone interface. Users upload pictures, and a deep-learning model analyzes for hundreds of skin conditions, triaging cases by urgency.

This is not consumer gimmickry. For under-resourced clinics and primary health centers, BeautiFAI becomes a clinical assistant. It flags high-risk conditions, suspected melanoma, severe infections, and recommends referral, boosting early detection and reducing unnecessary travel and specialist visits. This translates to faster treatment, reduced patient costs, and optimized resource allocation.

On the provider side, the app offers pre-consultation screening, record documentation, and diagnostic support. Dermatologists can work at higher volume, with a consistent support tool that highlights problematic cases and tracks patient progress over time.

BeautiFAI is also available as a free web-based platform at beautifai.nl, making AI dermatology tools accessible to individuals and healthcare workers globally. This version emphasizes user education and early detection. By removing cost barriers, Mallick aims to promote equitable health access and help users take the first step in understanding potential skin issues, particularly in regions where specialist care is scarce or unaffordable.

In essence, BeautiFAI exemplifies healthcare innovation in its purest form, driven by need, powered by AI, and engineered for scale. It’s not novelty. It’s clinical function.

GenAI for Lung and Bone Disease Diagnosis

In addition to dermatology, Mallick has expanded his AI focus to radiology, introducing a GenAI-powered platform for lung and bone disease analysis through X-ray images. This solution enables accurate detection of conditions like pneumonia, fractures, and chronic bone disorders by using deep learning to interpret medical scans. 

Designed for both urban hospitals and remote clinics, the platform reduces diagnostic delays, supports triage decisions, and enhances radiologist efficiency. The tool is already accessible via CloudHub’s AI X-ray app, offering a scalable and explainable model for radiographic screening.

Smart Clinics for Aging Parents and At-Home Care

To address the growing need for accessible eldercare, Mallick has launched smart clinics equipped with remote monitoring tools, AI assessments, and telemedicine capabilities. These clinics are tailored for aging parents and individuals with limited mobility, offering diagnostics and follow-up care directly at home. 

Integrated with CloudHub’s platforms, these setups bring hospital-grade assessments to the doorstep. More information is available at drkures.com, which showcases how technology can restore comfort, continuity, and dignity to at-home healthcare.

CloudHub’s Core: Data, Compliance, and Security in Healthcare 

BeautiFAI sits on CloudHub’s broader healthcare infrastructure stack, designed for regulated environments:

• DataCube delivers compliant data lakehouse environments, reducing setup time from months to days.
  
  
• CompQ automates essential compliance workflows, validation, documentation, audit trails, helping providers reduce costs by 30–40 percent.

• SmartMG layers in predictive monitoring of systems and applications to prevent disruptions, critical for clinical continuity.

These tools recognize that innovation success in healthcare depends not just on AI, but on rigorous alignment with regulatory frameworks like HIPAA/GxP, traceable pipelines, audited data flows, and resiliency. Mallick builds with those constraints in mind.

He describes CloudHub’s approach as “making data work efficiently for our clients” and emphasizes an agile process rooted in user input. That pragmatic, user-first methodology echoes Mallick’s leadership vision: Real-world healthcare workflows drive product design, speed and accuracy follow.

Responsible AI: CH-AIR & LangFuse Frameworks 

Introducing AI responsibly in healthcare requires governance structures in equal measure with technological innovation. That’s where Mallick’s CHAIR framework comes in. It evaluates GenAI readiness across four dimensions: Awareness, Talent, Governance, and Impact.

Awareness ensures clinical stakeholders understand AI scope and limitations. Talent assesses whether teams have training and skill to manage and interpret AI models. Governance determines if processes comply with regulations and ethical standards. Impact tracks measurable clinical or operational outcomes before scaling.

CHAIR turns abstract AI talks into a structured, phased, outcome-driven roadmap. It marks Mallick’s transformation of generative AI from speculative hype to accountable strategy.

His next move, LangFuse, addresses the need for traceable AI decisions. In clinical settings, LLMs must not be black boxes. LangFuse provides observability into large-language-model deployments, logging prompts, outputs, decision records, making models auditable, safe, and improvable. Traceability becomes not optional but required for medical tool deployment.

CHAIR and LangFuse speak to Mallick’s mindset: every AI innovation needs built-in guardrails. Safety, ethics, and efficacy are foundations, not afterthoughts.

Clinical Outcomes and Industry Leadership

Mallick’s work at CloudHub is not theory, it shows measurable clinical impact. A standout case involved optimizing decentralized clinical trial protocols and medical writing via AI and ML. What used to take four to five years dropped dramatically in time to market. That reduction accelerates patient access to life-saving treatments.

BeautiFAI’s deployment increases triage speed and equitable care access in underserved regions, with documented time and resource savings. CloudHub’s DataCube, CompQ, and SmartMG are used by hospitals, trial centers, and health systems to reduce compliance effort, improve data usage, and boost uptime, all critical metrics evaluated by Mallick.

His thought leadership carries weight: he has presented at the DIA RealWorld Evidence conference, positioned CloudHub as a Salesforce GenAI partner for healthcare, and featured in media outlets like CIO Business World, CIO Look, and Time Iconic. 

Mallick’s philosophy is clear: match innovations to measurable outcomes. BeautiFAI reduces burden and improves early diagnosis. Compliance automation slashes costs. Protocol acceleration speeds trials. Traceable AI ensures trust. Each advancement meets one question: what meaningful impact does it drive?

Leadership Style Anchored in Purpose 

Susant Mallick blends agile leadership with mentorship and strategic clarity. He emphasizes rapid prototyping, daily standups, sprints, user feedback loops. He and his team integrate user stories at every step, ensuring final products align with clinical needs. That’s why BeautiFAI supports workflows; CompQ embeds in regulatory processes; and LangFuse anticipates audit requirements.

Mallick also nurtures talent, mentoring tech professionals and fostering a culture of curiosity, diversity, and resilience. He champions accountability and integrity, essential in healthcare technology, while focusing teams on measurable improvements, faster diagnosis, reduced risk, cost savings.

His leadership with purpose extends beyond his own company. He’s active in conferences, healthcare AI ecosystems, and strategic discussions, positioning himself and CloudHub not just as service providers but as industry enablers. That broader engagement accelerates trust and adoption across hospitals, biotech, and regulators.

What stands out about Susant Mallick is his insistence on healthcare specificity. His background provided skills, but he chose healthcare as his domain. His innovations, BeautiFAI, DataCube, CompQ, SmartMG, CHAIR, LangFuse, are not generic tools but healthcare infrastructure and clinical assistants, tuned to sector needs.

He understands that progress in health tech depends not on flashy demos, but on outcomes: equitable access, diagnostic confidence, reduced compliance burden, treatment speed, and traceability. His leadership approach, mentored teams, agile methods, user-focused design, accelerates adoption.

At a time when healthcare systems are under strain, Mallick builds solutions that clinicians trust and organizations can scale. In doing so, he does more than innovate, he equips health systems to evolve. That places him firmly among the most dynamic AI leaders redefining modern healthcare.