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Smart Data Solutions operates an AI-native automation platform built on Python, Java, LangChain, and RAG—processing billions of healthcare transactions annually across claims, prior authorization, and document workflows. The tech stack reveals a modern document-intelligence focus (OCR/OMR pipelines, pharma document analysis models), paired with Microsoft enterprise tools (Dynamics 365, Power Automate, Copilot Studio) for operational scale. Hiring is tilted toward engineering and interns, with active scaling in capture pipelines and LLM integration, though internal pain points around HRIS data accuracy and finance scalability suggest operational friction as the platform grows.
Tech Stack 28 technologies
Core StackPython Java LangChain RAG MySQL Docker Kubernetes Spring Dynamics 365 Salesforce C# C++ Power Apps Power Automate Power BI Qwen Tomcat REST Git Excel Word Windows Microsoft Office SQL Copilot Studio SharePoint Dataverse
What Smart Data Solutions Is Building
◆Challenges
- Scalability and internal operating efficiency
- Automation and machine learning capabilities
- Compliance with regulatory requirements
- Maintaining accurate hris data
- Compliance with labor laws
- Continuous improvement in recruitment
- Reducing manual effort in finance operations
- Improving scalability of finance operations
- Avoiding customer impact
- High-volume environment
▲Active Projects
- Pharma document analysis models
- Ocr/omr pipelines for structured extraction
- Llm integration with langchain
- Development and maintenance of new and existing clients
- Capture pipelines
- Employee engagement programs
- Monthly dashboard in hris
- Employee engagement initiatives
- Automation initiatives
- Reporting process enhancement
Hiring Activity
20 roles · 5 in 30d
Department
Seniority
Company intelligence
