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Tackle the burdens of patient care, internal operations, and research with custom data and AI healthcare solutions

Build tailored enterprise solutions for healthcare companies with specialized Xenoss data engineering and machine learning expertise

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Leaders trusting our AI solutions:

15+

years helping enterprises

50+

market-ready solutions delivered

40%

of cost savings with component-based development

Proud members and partners of

Xenoss collaborates with leading industry organizations and standards bodies to advance AI and Data Engineering development

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Master key concepts and terminology in AI and Data Engineering

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Healthcare industry pain points we eliminate

Healthcare teams grapple with inefficiencies, data fragmentation, fraud, and personalization

Healthcare
data integration

Patient data integration

Fragmented records delay or hinder timely and accurate care decisions.

fraud detection

Fraud detection

Financial losses stem from billing fraud, overprescriptions, and duplicate claims.

Treatment personalization

Treatment personalization

Developing therapies tailored to individual patients is often time-intensive.

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Operational bottlenecks

Challenges in scheduling, patient flow, and resource allocation slow overall efficiency.

Drug development

Drug development

Overstocking and understocking stem from inadequate inventory management tools.

clinical trials

Clinical trial optimization 

Recruitment and management of participants in clinical trials often lack streamlined approaches.

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Compliance

Managing patient data while adhering to HIPAA and other regulations remains a critical challenge.

resource allocation

Resource allocation 

Healthcare systems face strain in allocating resources effectively during emergencies.

How Xenoss helps address these challenges

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Automated data integration 

Combine electronic health records, lab results, and imaging data into a unified system.

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Real-time data processing

Develop tools to ingest and analyze real-time data from patients and medical devices.

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Billing and insurance fraud detection 

Identify and flag unusual billing patterns and insurance claims using AI.

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Anomaly detection

Leverage machine learning and statistical tools to uncover irregularities in records and transactions.

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AI-driven genomic data analysis

Utilize patient genomics, medical history, and health metrics to deliver personalized care.

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Time-series analysis

Analyze healthcare data over time to predict trends and patterns.

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Queue management and AI scheduling

Use predictive analytics to manage resources and resolve scheduling conflicts efficiently.

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Simulation modeling

Create AI-driven simulations to simulate healthcare system operations and outcomes.

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AI-driven molecular modeling

Analyze biological data and simulate drug interactions to speed up drug discovery.

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High-performance computing

Apply high-performance computing to process complex healthcare datasets.

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AI for clinical trial management

Identify trial candidates by analyzing large-scale health records.

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Data matching

Synchronize and verify patient records for consistent treatment and trial management.

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HIPAA-compliant AI tools

Develop HIPAA-compliant AI solutions to protect sensitive patient data.

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Federated learning

Train AI without sharing or exposing patient information.

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Predict resource needs

Predict ICU bed and ventilator needs during crises using machine learning.

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Advanced analytics

Extract actionable insights from datasets to improve decision-making.

Build innovative healthtech enterprise-level engineering and AI solutions 

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Why choose Xenoss AI and data engineers

data engineering

Enterprise-grade real-time data solutions for Healthcare

Develop high-performance systems to process vast volumes of real-time healthcare data, including patient metrics, clinical interactions, and IoT streams from medical devices.

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Proven expertise in high-load development

Ensure seamless performance during peak usage, such as high patient volume during health crises, large-scale vaccine rollouts, or resource-intensive processes like telehealth and real-time imaging.

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Enterprise multi-cloud Strategy for Healthcare

Design scalable, cost-effective multi-cloud solutions optimized for secure data processing, low latency, and reliable workload distribution.

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Best-in-class engineering for mission-critical healthcare systems

Bring experienced engineers specializing in enterprise-grade, high-availability infrastructures for healthcare. Develop robust systems for electronic health records (EHR), critical care monitoring, and enterprise-wide data management.

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Pre-built accelerators for accelerated delivery timelines

Reduce time-to-market for enterprise healthcare innovations with pre-built frameworks for advanced analytics, automation tools, and secure data pipelines.

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Technology-agnostic Integration for Healthcare

Select the platforms and tools that best align with your enterprise ecosystem. Ensure seamless integration with existing healthcare technologies, including EHR systems, medical imaging platforms, and administrative solutions.

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Scalable AI models for enterprise

Develop AI models capable of scaling for enterprise healthcare needs, enabling real-time predictive diagnostics, clinical decision support, workflow optimization, and personalized patient care across the organization.

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Granular AI expertise

Access AI capabilities designed for enterprise healthcare challenges, including predictive analytics for population health management, computer vision for radiology and diagnostic imaging, or conversational AI for enterprise-scale patient engagement.

Xenoss engineers build end-to-end HealthTech solutions

Patient care platforms

  • Virtual health assistants
  • Telemedicine platforms
  • Chronic disease management systems
  • Remote patient monitoring (RPM) systems
  • Patient engagement platforms

Diagnostic and clinical platforms

  • AI-powered diagnostic tools
  • Symptom checkers
  • Precision medicine platforms
  • Clinical decision support systems (CDSS)

Health data and analytics

  • Health data integration platforms
  • Predictive analytics for healthcare
  • Health insights dashboards

How we operate

Transform your enterprise with AI and data engineering—faster efficiency gains and cost savings in just weeks

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Challenge briefing

2 hours
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Tech assessment

2-3 days
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Proof of concept

8-12 weeks
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AI and Data Engineering services in production

3-4 months
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Evolve your project and expand the range of partners and clients with custom AI solutions for Healthcare

Xenoss developers have the skillset and domain knowledge to help various businesses change and adapt to market trends and user expectations.

stars

Xenoss team helped us build a well-balanced tech organization and deliver the MVP within a very short timeline. I particularly appreciate their ability to hire extreme fast and to generate great product ideas and improvements.

Oli Marlow Thomas

Oli Marlow Thomas,

CEO and founder, AdLib

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What’s your challenge? We are here to help.

    Explore more ways to accelerate the growth and impact of your project through AI technology

    There is a lot more we can build together.

    AI capabilities

    Machine Learning and automation

    • ML & MLOps
    • ML system TCO optimization
    • Model & algorithm development and integration
    • RPA (Robotic Process Automation)