Agent-based simulation platform for forecasting and scenario planning
Epistemix builds agent-based modeling and simulation tools for organizations operating with incomplete data. The tech stack—Python, FastAPI, Databricks, Snowflake, AWS infrastructure—supports two core products: Populus (population data platform for TAM analysis) and Polaris (scenario planning engine). Active projects reveal a shift toward AI-generated models and expanding global synthetic population coverage, while pain points highlight friction around customer scoping and accessibility of modeling workflows for non-technical users.
Epistemix develops simulation and forecasting platforms for health, CPG, and government sectors. The company operates two main products: Populus, which models population attributes and social networks to assess market size and trends, and Polaris, which runs scenario simulations to test strategies and optimize resource allocation decisions. The team is anchored by engineering and data talent, with sales and operations support. Projects focus on enriching synthetic populations with behavioral networks, automating agent-based model generation, and improving global coverage of demographic representations.
Python, FastAPI, TypeScript, NestJS on the application layer; Snowflake and Databricks for data warehousing; AWS (EKS, Lambda, RDS, DynamoDB, SQS, SNS) for compute and infrastructure; Kubernetes and Terraform for orchestration.
Yes. The company has 20 active roles with engineering (10), data (6), sales (3), and operations (1). Most positions are mid-level or senior, with hiring open in the US, Canada, and UK.
AI-generated agent-based models, enriched synthetic populations with social networks, global demographic coverage, and faster customer onboarding. Active projects also address sales acceleration and scalable system architecture for model generation.
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