A decade of excellence
AWS Consulting Partner for regulated industries
Modus Create is an AWS Advanced Consulting Partner with four AWS Competencies, helping regulated enterprises modernize on AWS.
Modus Create earns AWS Security Competency
The Security Competency marks Modus Create's fourth AWS Competency, joining its designations in Life Sciences, Generative AI, and the Migration Acceleration Program. It recognizes Modus Create's technical expertise in designing security-first cloud architectures for enterprises modernizing in financial services, life sciences, and other highly regulated industries.
Our AWS competencies and certifications
AWS Black Belt Pilot Containers
AWS Life Sciences Services Competency
AWS Amazon API Gateway Delivery
AWS Generative AI Services Competency
AWS Migration and Modernization Competency
AWS CloudFormation Delivery
AWS Advanced Tier Services
AWS Security Services Competency
Featured solutions
How we help enterprises on AWS
Explore our popular AWS services and offerings for life sciences, finance, and other high integrity industries.
Modernize your infrastructure for AI-ready, compliant operations on AWS.
BENEFITS
- Migrate legacy systems
- Enable AI insights
- Ensure compliance
Assess your AI maturity and build a clear roadmap for AWS ML adoption.
BENEFITS
- Evaluate data quality
- Align with regulations
- Plan tooling strategy
Safeguard sensitive healthcare data with AWS-native, automated security and compliance workflows.
BENEFITS
- Monitor continuously
- Automate audits
- Meet regulations
Reduce manual FDA reporting with AI-powered document workflows on AWS.
BENEFITS
- Auto-generate reports
- Extract key data
- Ensure compliance
Launch an AWS-native pipeline to accelerate RWE analysis and safety insights.
BENEFITS
- Ingest RWE data
- Run AI models
- Visualize metrics
Standardize security and compliance across portfolio companies with an automated DevSecOps pipeline.
BENEFITS
- Automate governance
- Streamline compliance
- Accelerate integration
Webinar
Accelerating clinical trials with AI
In this webcast with IDC, we break down how to speed up trials, cut costs, and get better outcomes with AI and GenAI.
Industry spotlight
AWS case studies across regulated industries
As leading pharma and life sciences companies pivot to preventive care, our experts help them build a secure digital infrastructure with AWS solutions.
Clinical trials are complex and outdated tools slow down approvals. Manual cross-referencing of protocols with historical data and regulations create delays and compliance issues. We helped a leading clinical research organization develop an Al-powered solution to automate protocol analysis and improve efficiency.
OUR WORK INCLUDED
- Al-driven protocol analysis on AWS
- NLP model training with SageMaker
- Real-time insights via AWS lnferentia
- Scalable processing with EC2 UltraClusters
BENEFITS
- Migrate while keeping production stable
- Reconnect your SCM system back into DevOps pipelines
- Smarter workflows with GitHub Actions
- Optimize licensing costs
Legacy infrastructure slowed genetic research, making large-scale analysis difficult for a large Pharma company. Our experts created a secure, scalable AWS powered
platform for Al-driven research, reducing genomic data processing times from weeks to minutes.
OUR WORK INCLUDED
- Secure data lakes with AWS
- High-speed queries via Redshift
- Automated workflows using Glue
- Al-driven research with SageMaker
BENEFITS
- Reduced data processing time
- Improved research efficiency
- Lower operational costs
- Al-ready platform for precision medicine
A global pharma leader aimed to simplify
healthcare access with a D2C app.
Collaborating across product design,
engineering, and telehealth integration, we
built a responsive web app that allows users
to schedule same-day appointments and
order medical services.
OUR WORK INCLUDED
- Scalable AWS-powered D2C platform
- Real-time scheduling via DynamoDB
- Automated workflows using Lambda
- HIPAA-compliant security with AWS Shield
BENEFITS
- 480,000+ visits handled in a week
- Instant appointment scheduling across 200+ locations
- Reduced administrative burden
- Scalable foundation for Al-driven healthcare
Millions struggle to quit smoking due to lack of support. Our engineers helped a pharma company develop an engaging, cloud native app with real-time tracking, behavioral support, and seamless healthcare integration.
OUR WORK INCLUDED
- Scalable AWS-powered mobile platform
- Real-time tracking with AppSync
- Secure authentication via Cognito
- Serverless architecture using Lambda
BENEFITS
- 20,000+ downloads in months
- High user recommendation rate
- Increased retention via gamification
- HIPAA-compliant health platform
A leading EHR provider faced inefficiencies due to legacy systems. To improve operational efficiency, enhance data accessibility, and ensure HIPAA compliance, we developed a responsive and scalable digital health platform.
OUR WORK INCLUDED
- Amazon ECS deployment
- Secure data storage with RDS
- Performance optimization with Amazon ElastiCache
- Security enhancements using AWS WAF
BENEFITS
- 40% faster patient onboarding
- 60% increase in mobile data access
- 30% improvement in data access
- Stronger security and HIPAA compliance
A pharma company needed an Al-powered mobile app to provide personalized support to people living with cancer. Our engineers developed an AWS-powered loT platform, enabling real-time health monitoring and
predictive analytics.
OUR WORK INCLUDED
- Secure loT connectivity via AWS
- ML-driven insights using SageMaker
- HIPAA-compliant data storage in RDS
- Real-time monitoring with CloudWatch
BENEFITS
- Improved patient engagement
- Enhanced real-time patient insights
- Reduced hospital visits with remote care
- Scalable, Al-powered oncology platform
Our partners
Get access to the most advanced enterprise partners
Our technology partners include companies that are defining the course of enterprise AI adoption.
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Frequently Asked Questions
What is an AWS Advanced Consulting Partner?
An AWS Advanced Consulting Partner is a company validated by AWS for its ability to design, deploy, and manage solutions on AWS for third-party clients. This tier requires a proven volume of projects, technical certifications, and validated customer references. Modus Create holds this status and extends it with four specialized AWS Competencies.
What AWS Competencies does Modus Create hold?
Modus Create holds four AWS Competencies: Security, Life Sciences, Generative AI, and the Migration Acceleration Program (MAP). Each one reflects technical validation by AWS in a specific domain, based on architecture reviews and production customer references.
Does Modus Create support HIPAA-compliant AWS architectures?
Yes. Modus Create designs HIPAA-compliant AWS architectures for healthcare and life sciences organizations, using services such as AWS Shield, AWS WAF, and encryption of data at rest and in transit. Compliance is built into engineering workflows rather than handled at the end of a project.
Which industries does Modus Create serve on AWS?
Modus Create works on AWS primarily in regulated industries: life sciences, healthcare, and financial services. These environments share strong requirements for security, compliance, and traceability, which our AWS architectures address natively. Our AWS Life Sciences, Security, and Migration Acceleration Program Competencies validate this sector expertise.
What is the AWS Migration Acceleration Program (MAP)?
The AWS Migration Acceleration Program is a structured AWS program for migrating legacy systems to the cloud across three phases: assessment, mobilize, then migrate and modernize. Modus Create's MAP Competency validates its ability to run these migrations for enterprises in regulated environments.
How long does an AWS migration take?
The timeline depends on scope, but our engagements start with an assessment phase that produces a costed roadmap before any migration commitment. This staged approach keeps production stable throughout modernization.
Does Modus Create help prepare AWS infrastructure for AI?
Yes. Modus Create assesses an organization's AI/ML maturity and builds a roadmap for ML adoption on AWS, addressing data quality, regulatory alignment, and tooling strategy. The goal is AI-ready infrastructure in production, not just proof of concept.