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

Leaders trusting our AI solutions:

10+

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

Healthcare industry pain points we eliminate

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

Patient data integration

Fragmented records delay or hinder timely and accurate care decisions.

Fraud detection

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

Treatment personalization

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

Operational bottlenecks

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

Drug development

Overstocking and understocking stem from inadequate inventory management tools.

Clinical trial optimization

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

Compliance

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

Resource allocation

Healthcare systems face strain in allocating resources effectively during emergencies.

How Xenoss helps address these challenges

Automated data integration

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

Real-time data processing

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

Billing and insurance fraud detection

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

AI-driven genomic data analysis

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

AI-driven molecular modeling

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

Queue management and AI scheduling

Use predictive analytics to manage resources and resolve scheduling conflicts efficiently

High-performance computing

Apply high-performance computing to process complex healthcare datasets

AI for clinical trial management

Identify trial candidates by analyzing large-scale health records

HIPAA-compliant AI tools

Build HIPAA-compliant AI solutions to protect sensitive patient data

AI health assistants for patient care

Use AI health assistants to enhance patient care and support personalized treatment

Integration of EHR systems for streamlined medical data sharing

Enable seamless and secure medical data sharing by building scalable EHR workflows

Telemedicine and remote monitoring solutions

Offer virtual appointments and continuous care with telemedicine solutions

Time series analysis

Analyze healthcare data over time to discover trends and patterns

Federated learning

Train AI without sharing or exposing patient information.

Simulation models

Create AI-driven simulations to improve the management of operations and outcomes

Data matching

Synchronize and verify patient records for consistent treatment and trial management

Why choose Xenoss AI and data engineers

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

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

Enterprise multi-cloud strategy for Healthcare

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

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

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

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

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

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 to start

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

Challenge briefing

2 hours

Tech assessment

2-3 days

Discovery phase

1 week

Proof of concept

8-12 weeks

MVP in production

2-3 months

Featured projects

Implementing a proprietary SDK with a lightweight tracker for a new generation mediation platform

AdTech

Implementing a proprietary SDK with a lightweight tracker for a new generation mediation platform

Learn More

Developing a gaming advertising platform with 1.4B monthly video impressions

Solution development | High load

Developing a gaming advertising platform with 1.4B monthly video impressions

Learn More

Building Performance-Oriented Mobile DSP with Innovative User Behavior Prediction Mechanism

Solution development | AI & ML

Building Performance-Oriented Mobile DSP with Innovative User Behavior Prediction Mechanism

Learn More

Fast rollout of AI-powered creative management platform used by Nestlé, Adidas & Uber

Solution development | AI & ML

Fast rollout of AI-powered creative management platform used by Nestlé, Adidas & Uber

Learn More

Building a video-on-demand platform with 1.1M monthly users for a leading content distributor in Europe

Solution development | High load

Building a video-on-demand platform with 1.1M monthly users for a leading content distributor in Europe

Learn More

Reducing infrastructure costs by 20 times for a programmatic ad marketplace with 1B audience reach

Solution development | High load

Reducing infrastructure costs by 20 times for a programmatic ad marketplace with 1B audience reach

Learn More

Multifunctional Customer Data Platform (CDP)

AdTech | High load

Multifunctional Customer Data Platform (CDP)

Learn More

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.

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,

CEO and founder, AdLib

Get a free consultation

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AI capabilities

Predictive modeling
Computer vision
Conversational AI
Generative AI
AI consulting

Data Engineering

Data fabric
Data platforms
Data pipelines
Data infrastructure
Data migration
Data mining and preparation
Infrastructure cost optimization
Data stack integration
Real-time data solutions
Data analytics solutions
Data visualization & reporting solutions
Enterprise application modernization services
Data strategy
Data engineering consulting
Business intelligence

Machine Learning and automation

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