Cloud platform for oil & gas reserves, forecasting, and asset evaluation
ComboCurve builds a cloud-based analytics platform for oil and gas operators, with a tech stack spanning React/TypeScript frontend, Python/NumPy backend, and multi-database architecture (PostgreSQL, MongoDB, BigQuery, Snowflake). The project list reveals active investment in time-series data pipelines and asynchronous microservices for optimization—infrastructure moves that suggest the company is scaling toward real-time forecasting at higher data volumes. Engineering-heavy hiring (5 of 6 open roles) at mid and senior levels indicates product-driven growth rather than sales expansion.
ComboCurve is a cloud-based software platform for the energy sector, focused on reserves management, production forecasting, and acquisition-and-divestiture evaluation. The product consolidates asset evaluation, type curves, reserves workflows, and scheduling into a single integrated environment used by operators, engineers, and financial teams. The company operates from Houston, Texas, with a private ownership structure since founding in 2017. Core capabilities span oil and gas analytics, well performance optimization, field development planning, and completion optimization, with emphasis on real-time analytics and rapid customer support.
Frontend: TypeScript, React, Material-UI. Backend: Node.js, Express, Python, FastAPI. Data: PostgreSQL, MongoDB, BigQuery, Snowflake, AWS, GCP. Visualization: D3.js. Orchestration: Docker, Docker Compose.
Scalable data pipelines for time-series data, asynchronous microservices for optimization predictions, numerical simulations, and regression test improvements. Core pain point: production forecasting optimization and maintaining product quality during rapid releases.
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ComboCurve's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.