Contemporary Cloud Solutions & Agile Development Expertise

We build production-grade AI into healthcare software. Our teams pair large language models (LLMs) and machine reasoning with a compliance, architecture, and integration discipline that regulated environments demand. We design AI applications such as automating repetitive clinical workflows to surfacing decision support at the point of care to be auditable, secure. We always build to keep a credentialed human in the loop.

AI, Agentic & Applied Intelligence

  • Agentic AI & Autonomous Workflows

    Multi-step agents can plan, call tools, and act across systems to coordinate tasks like coding, prior authorization, and data reconciliation, with human oversight at critical checkpoints.

  • Generative AI & LLMs

    We specialize in application development on foundation models (Anthropic/Claude, and others) via managed, HIPAA-eligible platforms such as AWS Bedrock and Azure OpenAI.

  • Retrieval-Augmented Generation (RAG)

    SRG development grounds the model outputs in your own clinical knowledge bases, guidelines, and documentation to ensure that answers and actions are traceable to source.

  • Prompt Engineering & Structured Output

    Structured JSON is designed for downstream review and system integration for reliable, schema-constrained outputs.

  • Machine Learning & Machine Reasoning

    We also can integrate classical ML, NLP on clinical notes, and reasoning pipelines for classification, extraction, and prediction.

  • AI Guardrails & Human-in-the-Loop

    Through workflow review, confidence thresholds, and audit trails, our work keeps licensed professionals in control of clinical and financial decisions.

  • MLOps & Model Evaluation

    Production models require continuous evaluation, versioning, monitoring, and cost management for running models.

  • Responsible & Compliant AI

    We are experts in data privacy, PHI, and bias/quality controls aligned with HIPAA and HITRUST.

Our Competencies

  • Artificial Intelligence & Machine Learning

  • Full Stack Development

  • Mobile Apps

  • Adaptive Agile Process

  • Consulting & Business Analysis

  • Data Analysis & Management

  • Devops

  • Solutions Architecture

  • Project Management

  • Systems Integration

  • Testing and Quality Assurance

  • UI/UX Design

AI Governance in Healthcare: Security, Ethical Development & Best Practices

Discussions about AI governance and ethics are heating up. But what does this mean exactly?

While global AI governance has not yet been established, the EU AI Act is being enacted this month, making it the first mandated legal framework for AI. The concept of AI governance spans across deployment and development and works towards creating an ethical framework for principles and operations to manage risk while working with AI.

Read the blog post →

Technical Experience and Proficiency:

  • Agentic coding helps us answer the right questions in the right way. Our goal is to be faster and better.

  • Agentic orchestration, tool use / function calling, RAG, fine-tuning, few-shot prompting, structured output generation, evaluation harnesses

  • Highly transparent and collaborative adaptive agile, continuous integration, continuous delivery, devops, automated deployment pipelines, automated testing, GitFlow, Github, Bitbucket, Confluence, Jira, PagerDuty, Slack, Zendesk

  • .NET Core, Angular, AWS Amplify, Django, Express, Node, React, React Native, Vue, Ruby on Rails, Laravel, CodeIgniter, Spring, LangChain, LlamaIndex, Model Context Protocol (MCP), vector databases (Pinecone, pgvector, OpenSearch), Hugging Face

  • Amazon Simple Notification Service (SNS), AWS Step Functions, Amazon Simple Queue Service (SQS), AWS Cost Explorer, AWS Budgets, AWS Cost & Usage Report, AWS EC2, Amazon Elastic Container Registry, Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), AWS Fargate, AWS Lambda, Amazon Pinpoint, Amazon Simple Email Service (SES), AWS CodeCommit, AWS X-Ray, Amazon CloudWatch, AWS CloudFormation, AWS CloudTrail, AWS Control Tower, Amazon API Gateway, Amazon CloudFront, AWS Identity and Access Management (IAM), Amazon Cognito, AWS WAF - Web Application Firewall, Amazon S3, Ansible, Capistrano, Codeship, Docker, Elasticsearch, Google App Engine, Heroku, Jenkins, Kubernetes, Puppet, Werker, Fargate, Terraform, Docker

  • Automated medical coding (CPT®, ICD-10), clinical documentation summarization, prior authorization support, patient triage assistants, clinical decision support, data extraction from unstructured notes

  • We have deep experience in FHIR and HL7 integrations, serving athenahealth, Cerner, DirectEMR, eClinicalWorks, Epic, GE Centricity, Greenway, Healthkit, NextGen, NextGen Connect Integration Engine (HL7 + API), and Validic.

  • Anthropic Claude, AWS Bedrock, Amazon SageMaker, Azure OpenAI, Google Vertex AI, open-weight models (Llama, Mistral)

  • C#, C/C++, CSS3, Clojure, Java, JavaScript, Objective-C, PHP, Python, R, Ruby, Swift

  • Amazon Web Services (AWS), Google Cloud, Microsoft Azure

  • Android, iOS, React Native, Swift

  • Amazon Aurora, Amazon RDS, Amazon DynamoDB, Cassandra, Microsoft Cosmos DB, Microsoft SQL Server, MongoDB, MySQL, PostgreSQL, Redis

  • Amazon Athena, Amazon Kinesis, AWS Glue, Azure Machine Learning, Jaspersoft, PowerBI, QuickSight, Tableau

  • Apple/Android Push Notifications Services, Five9, SendGrid, Twilio

  • Drupal, Sitecore, WordPress

Frequently Asked Questions

Contact Us

What technologies do you utilize?

- SRG's tech stack covers the full complement of software development.

- Supported languages include: Python, JavaScript, Java, C#, Swift, Ruby, PHP, and more.

- Frameworks include: React, React Native, Angular, Vue, .NET Core, Node, Django, and Laravel.

- Cloud implementation through AWS, Google Cloud, and Microsoft Azure. SRG database experience spans PostgreSQL, MongoDB, MySQL, Amazon Aurora, Microsoft SQL Server, and others.

Do you build with AI?

Yes. AI and Machine Learning is a core SRG competency. For example, SRG has built production AI applications including an automated multi-specialty CPT® medical coding platform that reduces manual intervention, lowers costs, and improves physician satisfaction.

What development methodology do you use?

SRG uses a highly transparent and collaborative adaptive agile process, incorporating continuous integration, continuous delivery, DevOps, automated deployment pipelines, and automated testing.

Rather than rigidly following a single framework, our process adapts to each client's situation, emphasizing communication efficiency and software delivery velocity.

Is SRG HIPAA-compliant?

Yes. SRG meets HIPAA compliance standards across architecture, software development, and process. Healthcare data privacy and security is a core domain area for SRG, and compliance is built into our solutions from the start.

Does SRG meet HITRUST standards?

Yes. SRG adheres to HITRUST security standards as part of meeting the highest security requirements in healthcare. Our approach to architecture, software, and process is designed to satisfy the rigorous data protection expectations of healthcare providers and payers.

What about GDPR?

SRG applies privacy-by-design and security-by-design principles throughout the software development lifecycle. This means GDPR requirements, such as data minimization, consent management, access controls, audit logging, and the right to erasure, are built into our applications from the architecture stage, not added after the fact. Our experience with HIPAA and HITRUST compliance in healthcare gives us a strong foundation for meeting GDPR's rigorous data protection standards.