Enterprise AI and analytics services for CPG, retail, manufacturing, and pharma
Polestar Analytics is a 600+ person AI and analytics services firm building industry-specific intelligence platforms using LLMs, multimodal AI, and autonomous agents. The tech stack reveals a services-first architecture: Anaplan, Informatica, MuleSoft, and Boomi for enterprise data integration; Databricks, Azure, and Oracle EPM for data platforms; Tableau and Qlik for analytics surfaces; and OpenAI, Gemini, and Claude for AI. Active projects span financial-planning automation (Anaplan), cloud analytics (Azure, MSBI), and event-driven microservices, while hiring velocity is accelerating across data and engineering roles—signaling growth in delivery capacity and AI-native product development.
Polestar Analytics delivers end-to-end AI and analytics transformation for mid-market and enterprise clients across CPG, retail, manufacturing, and pharmaceutical sectors. The service portfolio spans foundational data engineering (warehousing, architecture, SQL optimization), enterprise planning platforms (Anaplan, OneStream, Oracle EPM, Workday), and generative AI systems (autonomous agents, LLM-powered insights). With offices in Dallas, Dover, and India, the firm operates a delivery-led model: most hires are senior practitioners (19 of 23 active roles), and current project work includes Anaplan implementations, cloud data migrations (Azure, MSBI), and emerging generative AI backend systems. The company has been recognized by Everest Group, Gartner, and ISG for AI services leadership.
Polestar's stack centers on enterprise data (Informatica, MuleSoft, Boomi), cloud platforms (Azure, Databricks), planning tools (Anaplan, OneStream, Oracle EPM), analytics (Tableau, Qlik), and generative AI (OpenAI, Gemini, Claude). Development uses Node.js, TypeScript, Docker, and Kafka-adjacent messaging (RabbitMQ).
Current projects include Anaplan financial-planning implementations, Azure and MSBI data analytics, Tableau and Qlik deployments, MySQL optimization, and generative AI-driven backend system development. New work centers on microservices architecture and event-driven processing.
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