AI-powered data operations platform for commodity trading and risk management
NorthGravity builds an AI-driven data platform for commodity traders and analysts, with a tech stack anchored in Python, scikit-learn, XGBoost, and multi-model LLM support (OpenAI, Anthropic, Gemini, LLaMA, Mistral). The hiring mix is heavily sales-skewed (4 of 8 active roles), paired with accelerating velocity and geographic expansion into Singapore and Poland—signaling a go-to-market push into APAC and Europe. Active projects target LLM integration into trading workflows and hedge-fund market penetration, while acknowledged pain points around onboarding and platform adoption suggest they're working through maturation friction as they scale.
NorthGravity operates a data operations platform tailored for commodity trading, risk management, and forecasting workflows. Founded in 2017 and based in Chicago, the company serves commodity traders, analysts, and risk managers who need to process complex market data at scale. The platform combines AI and automation to handle data pipeline orchestration, trend forecasting, and trading optimization. The team spans four offices: Chicago, Austin, London, and Krakow, with 51–200 employees. Recent project focus includes expanding sales presence in Houston and Singapore, modernizing the core platform architecture, and embedding LLM-powered tools into client trading workflows.
Python, scikit-learn, XGBoost, TensorFlow, PyTorch, multiple LLM providers (OpenAI, Anthropic, Gemini, LLaMA, Mistral), AWS, GCP, Kubernetes, Docker, Angular, Temporal, and Spring Framework.
Chicago, Illinois. Additional offices in Austin, London, and Krakow; hiring expansion underway in Singapore.
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