echoloc
Get started
echoloc/ Companies/ IMR Soft LLC

IMR Soft LLC Tech Stack

IT services and healthcare staffing with cloud-native data and AI capabilities

Information Technology & Services Princeton, New Jersey 201–500 employees Founded 2017 Privately Held
imrsoft.com LinkedIn

IMR Soft operates a U.S.–India hybrid delivery model serving IT services and healthcare staffing across 200+ employees. The tech stack reveals a data-forward, cloud-native operation: Databricks, Snowflake, and Apache Spark anchor a modern analytics layer, while Kubernetes, Docker, and GitLab supply containerized deployment. Active hiring skews heavily toward senior engineering and data roles, and the project mix—RAG implementation, regulatory reporting pipelines, ML inference for ad-serving, and cloud migration—signals they are pushing beyond prototype-stage AI into production systems while modernizing legacy ETL workloads.

Tech Stack 137 technologies

Core StackDatabricks Snowflake Scala Apache Spark Apache Airflow Unity Catalog Java SAP Python Kubernetes Docker AWS Terraform Ansible Jenkins GitLab Istio Prometheus Grafana Go Azure Artifactory Gradle Azure Entra ID Azure Data Lake Storage ScalaTest Concordion Spring Boot GCP Argo CD+103 more
AdoptingRAG

What IMR Soft LLC Is Building

◆Challenges

  • Migrating legacy etl to cloud
  • Ensuring regulatory report parity
  • Stalling ai initiatives between prototype and production
  • Technical bottlenecks
  • Architectural bottlenecks
  • Low-latency real-time inference
  • Scalable ml solutions
  • Growing direct client business

▲Active Projects

  • Rag implementation
  • Regulatory reporting pipelines
  • Automated parity checks
  • Modernizing on-prem pipelines to cloud
  • Reusable ai frameworks and reference architectures
  • Document processing pipelines
  • Llm-powered ad copy generation
  • Real-time inference for ad-serving
  • Scalable ml pipeline for targeting

Hiring Activity

Accelerating9 roles · 9 in 30d

Department

Engineering
5
Data
2
HR
1
Sales
1

Seniority

Senior
7
Mid
2
Company intelligence

Find more companies like IMR Soft LLC by tech stack, pain points and active projects

Get started free

About IMR Soft LLC

IMR Soft is an IT services and healthcare solutions company headquartered in Princeton, New Jersey, with delivery and staffing operations centered in India. The company serves clients in healthcare, finance, retail, manufacturing, and technology sectors, offering cloud infrastructure, data engineering, cybersecurity, ERP implementation, and staffing support for hospitals and corporate health programs. Built around a hybrid U.S.–India model, IMR Soft positions itself to combine U.S. client relationships with cost-effective Indian delivery. The project portfolio spans cloud migration, regulatory reporting automation, machine learning pipelines for targeting and ad-serving, and document processing—domains where they encounter constraints in production ML scaling and ETL modernization.

HeadquartersPrinceton, New Jersey
Company Size201–500 employees
Founded2017
Hiring MarketsUnited States, India

Frequently Asked Questions

What is IMR Soft's tech stack?

Core tools include Databricks, Snowflake, Apache Spark, and Scala for data engineering; Azure, AWS, and GCP for cloud infrastructure; Kubernetes and Docker for containerization; and Jenkins, GitLab, and Argo CD for CI/CD. Python, Java, and Spring Boot support application development.

What is IMR Soft working on?

Projects include RAG implementation, regulatory reporting pipelines, cloud migration of on-premises workloads, ML pipelines for ad-targeting and real-time inference, and LLM-powered document processing—indicating a focus on production-grade AI and analytics modernization.

Similar Companies in Information Technology & Services

Other companies in the same industry, closest in size

I
Integral Federal, Inc.
Information Technology & Services
C
CPG
Information Technology & Services

How this profile is built

IMR Soft LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.