Roam AI provides an AI‑driven platform that continuously analyzes well‑level data to optimize electric submersible pump (ESP) operation and chemical treatment cycles for upstream oil and gas operators. The solution offers semi‑autonomous and fully autonomous control modes, real‑time dashboards, and secure cloud‑native data pipelines that reduce equipment failures, extend pump life, and lower chemical costs.
Funding
$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Oil and gas operators rely on legacy artificial lift systems and manual decision processes, leading to suboptimal production, frequent equipment failures, and high chemical usage costs. Limited real-time data integration and fragmented analytics hinder proactive management of well performance.
Solution
ROAM‑AI offers an AI‑driven platform that continuously analyzes well‑level data to optimize electric submersible pump (ESP) operation and chemical treatment cycles. The system provides semi‑autonomous and fully autonomous control modes that adjust tubing pressure and chemical dosing in real time, reducing gas breakout events and extending pump life. Integrated cloud‑native data pipelines consolidate streaming and batch data from existing field assets into a single, secure data lake, enabling real‑time dashboards, visualizations, and AI‑generated insights. Operators receive actionable recommendations and automated adjustments while retaining oversight, turning raw sensor data into concrete operational decisions. The platform also supports private, on‑premise AI models for secure internal analytics and integrates with standard BI tools for reporting.
Target Audience
Primary customers are upstream oil and gas operators and production engineering teams seeking to improve artificial lift efficiency, reduce downtime, and lower chemical expenses.
Features
- AI‑powered ESP optimization that balances output, minimizes gas breakout, and can operate in semi‑autonomous or fully autonomous modes
- Real‑time chemical tank automation that continuously tunes inhibitor and H₂S treatment dosing to cut chemical costs
- Cloud‑native data platform with serverless AWS architecture for seamless migration, data warehousing, and enterprise‑grade security
- Private AI model deployment for secure, on‑premise fine‑tuning and internal use cases such as document search and report generation
- Smart surveillance integration using computer vision and generative AI to detect safety hazards and generate narrative incident reports
- Interactive dashboards and BI integration (Tableau, Power BI) delivering real‑time monitoring, alerts, and customizable visualizations