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Sphere Tech Stack

AI-native consulting firm building ML models and data pipelines for enterprise clients

IT Services and IT Consulting North Miami Beach, FL 201–500 employees Founded 2005 Privately Held

Sphere operates as a consulting practice spanning strategy, data, and custom software development. The tech stack reveals a sharp pivot toward AI: heavy adoption of LLMs (OpenAI, Claude, Llama, Gemini), retrieval frameworks (LlamaIndex, Langchain), and ML infrastructure (Databricks, TensorFlow, PyTorch). However, hiring has decelerated to 3 roles in the past 30 days—a mismatch with an ambitious AI product roadmap (ML dashboards, model optimization, advanced inference). The pain-point list is heavily sales-centric (lead gen, pipeline, upsell), suggesting internal friction between technical delivery capacity and revenue growth targets.

Tech Stack 56 technologies

What Sphere Is Building

Challenges

  • Generating qualified leads
  • Implementing netsuite for clients
  • Process mapping for clients
  • Driving sales pipeline
  • Generating net new revenue
  • Identifying upsell opportunities
  • Improving lead quality
  • Optimizing marketing tech stack
  • Aligning lead scoring with sales
  • Efficiency reliability performance across large-scale industrial systems

Active Projects

  • Ml model performance dashboards
  • Full-funnel marketing campaigns
  • Website optimization
  • Account-based marketing programs
  • Lead generation pipeline
  • Report and dashboard development
  • Process mapping sessions
  • Netsuite implementation
  • Design experimentation optimization of advanced machine learning models
  • Performance optimization of model training inference

Hiring Activity

Decelerating15 roles · 3 in 30d

Department

Engineering
5
Data
3
Sales
3
Marketing
2
Research
1

Seniority

Senior
9
Mid
5
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About Sphere

Sphere is a 201–500-person technology consulting firm headquartered in North Miami Beach, Florida. The company provides strategy, data analytics, custom software development, and staff augmentation across Python, .NET, Ruby on Rails, Java, and Golang. Recent project work centers on ML model dashboards, NETsuite implementations, marketing automation, and process mapping for mid-market clients. The tech stack—anchored by AWS, Azure, GCP, PostgreSQL, and increasingly LLM-based tools—indicates an internal focus on embedding AI into client deliverables and internal operations.

HeadquartersNorth Miami Beach, FL
Company Size201–500 employees
Founded2005
Hiring MarketsUnited States

Frequently Asked Questions

What AI and ML tools does Sphere use?

Sphere uses OpenAI, Claude, Gemini, Llama, LlamaIndex, Langchain, Hugging Face, TensorFlow, PyTorch, and Keras. Databricks is the primary data platform for model training and inference.

What is Sphere's tech stack?

Python, TypeScript, React, Kotlin, PostgreSQL, MySQL, .NET, Ruby on Rails, Java, Golang, AWS, Azure, GCP, Salesforce, HubSpot, NetSuite, and WordPress. GitHub Copilot is active for development.

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