Oseberg is an oil & gas information and data analytics company that offers a new approach to rapidly convert public regulatory and county-level data into actionable intelligence. The company aggregates difficult to access state, federal, and county records and delivers them to its users through a suite of B2B SaaS products that enable users to search, map, mine, and perform statistical analysis on clean data. Most recently, it offers normalized, standardized, and high-quality frac data to enable analytics on relationships between frac components, chemical purpose, production and cost.

Recurring yearly subscription SaaS model.

Significant data differentiation from the incumbents in terms of extracted regulatory filing and leasing content, leading to the earliest signals of pending industry activity ahead of the drill bit (e.g. first mover on pooling and spacing data in OK where the company originally started).

Sol: web-based search and alerting tool that uses machine learning to support an intuitive system for competitive intelligence.

Atla: land, well, and regulatory data access, mapping, and visualization tool

Datastream: RESTful API and flat files to connect with BI applications

oseFrac: transforms inconsistent frac data into standardized and normalized database

Activity Intelligence: earliest signs of new drilling & recompletion activity for E&Ps, service companies, etc. looking to monitor competition, track drilling, and predict new business opportunities.

Open Acreage: quickly and reliably rule out acreage that is already held by production (‘HBP’) or likely locked up due to recent leasing activity.

A&D Due Diligence: Selling companies collect relevant information to support a prospective buyer’s analysis of data involved in the divestiture of oil and gas assets (leases, terms of the leases, the production data, regulatory obligations)

Searchable & Analyzable Frac Data: access a complete, quality-graded, and normalized frac fluid additive database allowing you to focus on the analysis required to gain insight into the relationships between frac components, production and cost instead of spending time and money cleaning up bad data.