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Artificial Intelligence
Build and deploy intelligent systems using machine learning, generative AI, computer vision, NLP and AI agents.
Xelarvis
Artificial Intelligence · Data Science · IT Consulting
XELARVIS combines Artificial Intelligence, Data Science and IT Consulting to help organizations turn complex data and technology challenges into measurable business outcomes.
Industries we serve
AI
Artificial Intelligence
Data
Data Science
IT
IT Consulting
Health
Healthcare Specialty
Business problems
01
Disconnected data makes decision-making slow.
73%of signals trapped in silos
02
Organizations struggle to move AI from experimentation into production.
9×demo → production gap
03
Legacy systems limit scalability, security and innovation.
0distinctive craft left
What XELARVIS does
01
Build and deploy intelligent systems using machine learning, generative AI, computer vision, NLP and AI agents.
02
Turn complex data into predictions, insights and decisions through advanced analytics, machine learning and business intelligence.
03
Modernize technology ecosystems through architecture, cloud, software engineering, automation and digital transformation.
04
Design scalable data architectures, lakes, warehouses, pipelines, and MLOps infrastructure on the cloud.
05
Specialized clinical SAS, CDISC standards, and analytics for regulated life sciences and care delivery.
Capabilities
Capabilities are how we work. Solutions are the business problems we solve across AI, data, consulting, and healthcare specialty programs.
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Solutions
Nine solution areas package our capabilities into business-ready programs — from enterprise AI and automation to data platforms and clinical intelligence.
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Technology
Hover the orbit. Each node is a capability we put into production for enterprise and industry teams.
Full technology map →CREDIBILITY
Engineering metrics that matter
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Delivery framework stages
Enterprise buyers look for clarity, evidence, expertise and governance—a credible path from problem to solution to measurable outcome.
Explore our work→Challenge
Fragmented clinical and operational data made routine reporting slow and hard to trust.
Our solution
Unified analytics pipelines and governed dashboards that shortened reporting cycles and improved data consistency.
Business impact
Faster
Reporting cycles
Governed
Data access
Clearer
Operational views
Technology
PythonAzureAIPower BICDISCChallenge
Equipment telemetry and maintenance logs sat in silos, limiting early fault detection.
Our solution
Predictive analytics models and operator-facing views that support proactive maintenance planning.
Business impact
Earlier
Fault signals
Shared
Ops visibility
Repeatable
Model refresh
Technology
Next.jsNode.jsKubernetesAWSDockerChallenge
Trial datasets and programming deliverables needed clearer standards alignment for analysis handoff.
Our solution
CDISC-aligned programming patterns and reviewable analytics packages for study teams.
Business impact
Aligned
CDISC patterns
Reviewable
Deliverables
Steady
Handoff cadence
Technology
SASPythonCDISCSparkAzureXELARVIS Delivery Framework
01
Understand the business problem, stakeholders, and success criteria.
Stakeholders · Constraints · Success criteria
02
Define the AI, data and technology roadmap aligned to outcomes.
Roadmap · Priorities · Readiness
03
Architect scalable solutions, data flows, and governance.
Architecture · Governance · Delivery plan
04
Develop models, platforms, and applications with quality built in.
Models · Platforms · Applications
05
Ship to production with monitoring and operational readiness.
Production · Monitoring · Documentation
06
Measure outcomes, refine performance, and expand what works.
Outcomes · Performance · Expansion
Regional health network
Xelarvis brought clinical rigor and modern AI craft into the same delivery — rare, and exactly what we needed.
Challenge
Fragmented clinical systems
Solution
AI-powered analytics platform
Faster
Clinical workflows
Governed
Analytics delivery
Production
Ready systems
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Leading fintech
They treat platforms like products. Operators adopted the system because it felt inevitable, not imposed.
Challenge
Legacy monolith velocity
Solution
Cloud-native platform rebuild
Faster
Release cycles
Less
Manual work
Stable
Platform uptime
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Biotech partner
From discovery to production monitoring, every stage felt owned. Our submission timelines moved from hope to habit.
Challenge
Slow submission analytics
Solution
CDISC-aligned data science stack
Clearer
Ops efficiency
Faster
Analysis cycles
Governed
Data standards
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Global enterprise
Demo-ready AI became production-ready systems. Evaluation, governance, and delivery finally lived in one practice.
Challenge
Demos stalled in production
Solution
Grounded LLM delivery system
Faster
Time to value
Evaluated
AI behaviour
Lower
Delivery risk
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Next chapter
Talk with XELARVIS about AI, data science, IT consulting, data platforms or healthcare specialty programs.
Explore
Capabilities are how we work. Solutions are what we solve. Industries are where we apply them.