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Spherical Analytics Tech Stack

Global environmental data platform with AI-powered analytics

Environmental Services Cambridge, Massachusetts 11–50 employees Founded 2018 Privately Held

Spherical Analytics operates a data platform focused on environmental intelligence, built on a polyglot backend (Java, Scala, Spring, Kubernetes) deployed across AWS, Azure, and GCP. The company is actively expanding into LLM integration and RAG systems while managing cloud-agnostic infrastructure — a pattern suggesting they're positioning for enterprise scale and multi-cloud customer bases. Hiring remains senior-heavy (4 senior, 1 principal engineer) relative to team size, indicating depth over headcount.

Tech Stack 22 technologies

Core StackJava Scala Spring Docker Kubernetes MySQL PostgreSQL AWS Terraform Helm Linux Python Go Ansible Quarkus Helidon Azure GCP Bash Git Atlantis Argo CD

What Spherical Analytics Is Building

◆Challenges

Esg reporting compliance
Expanding infrastructure needs
Complex data integration and transformation challenges

▲Active Projects

Ai integrations for immutablytm platform
Fine-tuning llms for business cases
Developing rag systems
Cloud-agnostic processes and tooling for expanding infrastructure
Provision and maintain cloud infrastructure for internal and client-facing products
Energy transition market expansion
Carbon markets solutions
Critical infrastructure esg solutions
Cloud-agnostic tooling development
Cloud infrastructure provisioning

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Engineering

4

Sales

1

Seniority

Senior

4

Principal

1

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About Spherical Analytics

Spherical Analytics builds a platform for global environmental data collection, modeling, and analytics. The product surfaces insights relevant to ESG reporting, energy transition, carbon markets, and critical infrastructure assessments. Founded in 2018 and headquartered in Cambridge, Massachusetts, the company operates with roughly 50 employees and maintains active hiring in the United States and Netherlands. Core infrastructure spans Java/Scala backend services on Kubernetes, with data storage on PostgreSQL and MySQL, deployed across major cloud providers and managed through infrastructure-as-code (Terraform, Ansible, Argo CD).

HeadquartersCambridge, Massachusetts

Company Size11–50 employees

Founded2018

Hiring MarketsUnited States, Netherlands

Frequently Asked Questions

What technology stack does Spherical Analytics use?

Java, Scala, Spring, Quarkus, Helidon, Kubernetes, Docker, PostgreSQL, MySQL, AWS, Azure, GCP, Terraform, Helm, Argo CD, and Python. Infrastructure-as-code tools (Atlantis, Ansible) support multi-cloud deployment.

What is Spherical Analytics working on?

LLM fine-tuning and RAG systems for business cases, carbon markets solutions, energy transition market expansion, ESG reporting infrastructure, and cloud-agnostic tooling to support multi-cloud customer deployments.