How We Engineer
$10M+ in recovered revenue. 97% workflow reduction. A 20-year nuclear platform modernized without downtime. These aren’t promises — they’re production results from a senior team that averages 15–20 years of experience.
Our architects orchestrate. AI accelerates the execution. You get software built with judgment, not guesswork.
Talk to an Architect
PDPM Revenue Recovered
Workflow Reduction (Apex)
Products Shipped Since 2007
Combined Years on Our Team
Every engagement follows our method: Discover → Experiment → Engineer → Optimize
For teams that need to validate a new product before committing to a full platform build, our MVP development services provide a structured path from discovery to launch.
The Lab. 170+ Combined Years.
Experienced builders who’ve worked in both startups and enterprise. They shipped NeverAlone across 7 states, modernized INPO’s 20-year nuclear platform, and recovered $10M+ in PDPM revenue for CommuniCare. At DS, senior means 15–20 years — not two. This is not our first rodeo.
Josh Brown
Director of Engineering & Chief Architect
21 years. MS Computer Science. Solution architecture, C4 modeling. Led INPO, Mailchimp, McKesson, CommuniCare, ToolsGroup, and Fortna engagements.
Jerry Deng
Principal AI Engineer
19 years. Google Cloud Architect certified. AI/ML, deep learning, NLP, OCR. Turns complex AI concepts into production MVPs and proofs of concept.
Greg Z.
Data Architect & CMS Guidelines SME
39 years. BS/MS MIT (EE+CS), MBA. 9 years in healthcare. Neural networks, NLP, data science. The most experienced engineer on the team.
Kelley Rose
Senior Developer & Engineering Manager
With DS since 2015. Leads onshore and nearshore teams. 20+ client engagements including Mailchimp, Duke Health, NAPA, INPO, HD Supply, and Fortna.
Adam Kimbrel
Senior Developer
18 years. Led the NeverAlone development team. Full stack. Pragmatic problem-solver — finds straightforward solutions to complex requirements.
Jason Rasberry
Solutions Architect & DevOps Engineer
20 years. Infrastructure, security, HIPAA and PCI compliance. Designs and implements cloud architecture across AWS, GCP, and hybrid environments.
Shawn Ng
Software Engineer
10+ years. ML, NLP, computational phenotyping. Builds intelligent systems across the full stack. Advocate for clean architecture and continuous delivery.
Michelle Kim
Developer III
12 years, 10+ at Digital Scientists — the longest-serving member of DS. Frontend specialist. Recognized for conscientious approach and exceptional delivery.
Benjamin Kimbrel
Developer III
14 years. Full stack development with expertise in UX and web design. Integrates functionality and aesthetics for exceptional digital experiences.
AI Is in Every Phase of How We Build
AI doesn’t replace our engineers — it makes a senior team faster. The architect leads. The AI assists. The difference between us and a junior team using AI as a crutch is the judgment behind every decision.
AI maps what exists
Legacy code analysis, dependency mapping, architecture documentation recovery. AI reads your codebase faster than any human — our architects interpret what it finds.
AI accelerates prototyping
Rapid code generation for proofs of concept. AI scaffolds the experiment — our team designs what to test and interprets whether it worked.
AI augments the build
Code generation, test automation, PR review, documentation. AI handles the repetitive work. Our engineers handle architecture, business logic, integration design, and security.
AI monitors production
Anomaly detection, performance analysis, usage pattern identification. AI surfaces what needs attention — our team decides what to do about it.
This is what separates an AI-accelerated senior team from a junior team using AI as a crutch. The output looks the same for the first two weeks. By month six, the difference is architectural debt you can’t see until it stops you.
We wrote a three-part series on this gap. It’s the clearest articulation of how we think about AI in engineering.
Why AI-Generated Architecture Slows Down Startups
Confident isn’t the same as right for your stage.
The Real Cost of AI-Generated Architecture
18 months of individually reasonable decisions, collectively damaging.
25 AI Architecture Risks Every Founder Should Know
Five categories, 25 risks — organized by when they hit.
Engineering for Regulated Environments
A significant share of our engineering work happens under compliance constraints. HIPAA, CMS validation, PHI handling, and audit trails aren’t add-ons — they’re architecture decisions our team makes from day one.
Our engineers have production experience with PointClickCare and Gehrimed on platforms we operate. Epic is integrated in an R&D environment. For Cerner, MatrixCare, Elation, and other major EHR platforms we integrate via HL7 FHIR APIs, ADT feeds, and custom data exchange. We’ve built systems that process real patient data under real regulatory oversight — not sandbox environments that haven’t seen production.
Greg Z. (39 years, MIT) specializes in CMS guidelines and clinical data architecture. Jason Rasberry (20 years) leads infrastructure and security with HIPAA and PCI compliance expertise. This isn’t a team reading the HIPAA spec for the first time.
Compliance & Security
HIPAA Security Rule, Privacy Rule, Breach Notification. PCI compliance. Encryption at rest and in transit. Role-based access controls. Full audit logging.
EHR Integration
PointClickCare, Epic, Elation, MatrixCare. HL7, FHIR, bidirectional data exchange. Production integrations that survive version changes.
DevOps for Healthcare
HIPAA-compliant CI/CD pipelines. Infrastructure as code with Terraform. Automated security scanning. Zero-downtime deployments for mission-critical systems.
Data Architecture
PHI handling, data minimization, audit trails. CMS quality measure validation. Large-scale clinical data processing with governance built in.
Engineering Capabilities
We build software that lasts — production systems that evolve with your business, not against it. Our engineers average 15-20 years of experience and bring architectural judgment to every decision, not just technical skill.
Mobile
Leveraging React Native and Swift for stable, high-performance applications across platforms, from concept to app store deployment.
Web Development & SPAs
Crafting Single Page Applications that rival desktop apps in fluidity and user experience with a mobile-first design philosophy.
AI & Machine Learning
Embedding complex ML models and AI features into web and mobile platforms using TensorFlow, PyTorch, and cutting-edge NLP.
Cloud and DevOps
Practical expertise with AWS, Azure, and GCP. Proficient in Infrastructure as Code, CI/CD processes, and seamless scaling.
IoT
Creating interconnected, smart solutions with reliable sensor integration and secure data communication for industry-specific needs.
Engineering Disciplines
Engineering is more than coding. Every engagement is led by senior U.S.-based architects who balance technical decisions with your business objectives. AI accelerates the build; our team ensures the architecture is right.
Custom Software Development
We excel in custom software development across various programming languages and frameworks, emphasizing clean, maintainable code for scalable, adaptable solutions.
Solution Architecture
Robust project communication and clarity through visual architectural mapping and thorough documentation, fostering unified understanding across all team members.
Security and Compliance
Adept in cybersecurity and data privacy, prioritizing HIPAA compliance and the protection of sensitive information with secure coding practices.
Data Management & Analytics
Harnessing BigQuery, Spanner, Meltano ETLs alongside PowerBI, Tableau, and custom BI implementations to transform big data into actionable insights.
Versatile Development Engagements
A flexible approach to development engagements, skillfully tackling technical challenges and adjusting to a variety of project needs.
Expert Coding Practices
Integrating industry best practices with high-quality coding, efficient version control, automated testing, and Agile project management.
Custom Software Development
With an average of 15-20 years of experience per engineer, our team brings depth across languages and frameworks. We write clean, maintainable code — guided by our motto, “leave it better than you found it.”
Expertise in a Variety of Technologies
Our team’s extensive experience spans a vast array of programming languages and frameworks. This breadth of knowledge is crucial in selecting the most appropriate technologies for each project, ensuring optimal performance, scalability, and integration capabilities.
Emphasis on Clean, Maintainable Code
We adhere to the best practices in coding standards, ensuring codebases are not just functional but also easily understandable and modifiable. This philosophy is instrumental in reducing technical debt and facilitating easier updates.
Technologies
Solution Architecture
At the heart of our methodology is the belief that robust project communication is key to success. We employ the C4 model as our primary tool for architectural diagramming, creating a shared visual lexicon that transcends the usual barriers in complex projects.
Unified Visual Framework with the C4 Model
This model plays a crucial role in fostering a common visual language among team members. By visually representing the architecture, we ensure every team member has a unified understanding of the project, mitigating misunderstandings and aligning everyone towards a common goal.
Removing the Guesswork
Designing customized collections of reusable design components and patterns to efficiently design and scale your product while maintaining consistency.
How we do it
Data Management & Analytics
Our team adeptly handles big data, utilizing data analytics and business intelligence to inform strategic decision-making.
Experts in business intelligence
We employ data analytics and business intelligence as crucial tools, transforming large amounts of data into meaningful insights. Rather than relying on gut feelings or market trends, our approach is grounded in the data itself—discerning patterns, identifying opportunities, and anticipating challenges.
How we do it
Engagement Models
Definition and architecture onshore. Build and delivery nearshore. Our engineers lead with judgment and collaborate as partners, not contractors.
Innovation / R&D
Dedicated to innovation, our R&D initiatives focus on solving complex problems through unique, research-backed solutions. We consistently aim to expand the boundaries of technology.
Project Takeovers
We are adept at integrating with current code frameworks, identifying areas for enhancement, and implementing updates without major disruptions—including careful planning, thorough code reviews, and effective coordination with previous development teams.
Technical Support and Maintenance
We implement CI/CD practices, automated and manual testing, and automated alerts to ensure every update is thoroughly vetted for quality and performance.
Flexible Nearshore Scaling
Our model allows us to scale quickly and efficiently with nearshore assets, offering the agility your project needs to adapt and thrive in a fast-paced landscape.
Leadership & Teamwork
Our engineers cultivate an environment of open communication and effective collaboration, essential for success. Integration is a core value reflected in our cohesive work environment.
Expert Coding Practices
Our software development approach is built on a foundation of industry best practices, focused on delivering reliable and high-quality software.
Building and Sustaining Code Quality
Our culture
Two Different Problems. Same Senior Team.
MDS Optimization — CommuniCare
AI-powered MDS assessment engine integrated with PointClickCare. Real-time quality measure tracking, pre-submission CMS validation, and diagnosis capture — built after 40+ hours shadowing MDS coordinators. $10M+ in annualized PDPM revenue recovered.
View Case Study →
TinySpark — New Product Build
Mobile-first marketing platform built on React and Node.js. Integrations with Mailchimp, Klaviyo, and Shopify. Transforms passive social followers into known, reachable customers with real-time engagement tracking and conversion analytics.
View Case Study →
We Choose the Right Tool for the Problem
We’re not a React shop or a Python shop. We choose the stack that fits the problem, the team, and the constraints.
AWS
Azure
GCP
Docker
Kubernetes
GitHub Actions
Terraform
OpenAI
Anthropic
HuggingFace
Python
TensorFlow
React / React Native
Node.js
iOS / Swift
Android / Kotlin
.NET
Ruby / Rails
Angular
Flutter
PostgreSQL
BigQuery
Snowflake
Elasticsearch
PowerBI
Tableau