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Sphere is a consulting firm built around Python, TypeScript, and cloud platforms (AWS, Azure, GCP), now heavily invested in ML infrastructure—Databricks, LlamaIndex, Langchain, TensorFlow, PyTorch, and Hugging Face dominate the stack. Active projects span MLOps pipelines, model monitoring, and real-time AI solutions, while pain points reveal internal friction around standardizing modular AI infrastructure and compute optimization. The hiring mix (majority senior engineers, alongside sales and data specialists) reflects a shift toward productized AI services rather than pure staff augmentation.
Tech Stack 60 technologies
Core StackKotlin TypeScript React PostgreSQL MySQL AWS HubSpot Databricks Langchain OpenAI Hugging Face Python TensorFlow PyTorch WordPress LinkedIn Ads Google Ads Google Analytics Salesforce Canva Figma SageMaker Gemini Azure GCP LlamaIndex Llama Keras Ahrefs SEMrush+30 more
What Sphere Is Building
◆Challenges
- Standardizing modular ai infrastructure
- Balancing standardization and configurability
- Generating qualified leads
- Driving sales pipeline
- Generating net new revenue
- Identifying upsell opportunities
- Scalable ai infrastructure
- Optimizing compute resources
- Monitoring model performance
- Optimizing salesforce ecosystem
▲Active Projects
- Lead generation pipeline
- Full-funnel marketing campaigns
- Account-based marketing programs
- Website optimization
- Distributed training pipelines
- Mlops pipelines
- Model performance monitoring
- Joint go-to-market initiatives with aws or google cloud partners
- Co-selling motions and complex enterprise deals
- Real-time ai solutions based on physiological signals
Hiring Activity
15 roles · 6 in 30d
Department
Seniority
Company intelligence
