This startup provides a data analytics platform that aggregates public regulatory and county-level oil and gas records. Their SaaS products enable oil and gas companies to search, map, mine, and perform statistical analysis on this data, helping them identify leasing, drilling, completion, and acquisition opportunities.
Funding
Funding not disclosed
Founders
Product
Problem
Oil and gas companies face challenges in efficiently accessing and analyzing fragmented public regulatory and county-level data, hindering their ability to identify lucrative opportunities. The process of searching, mapping, and mining this data is often time-consuming and requires significant manual effort.
Solution
Oseberg provides a SaaS platform that aggregates and normalizes public oil and gas data, transforming it into actionable intelligence. The platform enables users to search, map, mine, and perform statistical analysis on regulatory and county-level records. By leveraging AI and machine learning, Oseberg streamlines data extraction from unstructured documents, allowing companies to quickly identify leasing, drilling, completion, and acquisition opportunities. The platform's tools facilitate informed decision-making, improve operational efficiency, and maximize return on investment in the oil and gas sector.
Target Audience
The primary target audience includes oil and gas companies, mineral and royalty buyers, landmen, lawyers, and midstream businesses seeking to improve their decision-making and operational efficiency through enhanced data analytics.
Features
- Aggregates disparate data sets from state, federal, and county records
- Employs dStill, a data extraction platform, to unlock structured data from unstructured documents using human-assisted machine learning
- Offers full-text search capabilities to locate specific keywords or phrases within millions of documents
- Provides Atla, a business intelligence tool for mapping and visualizing regulatory, well, production, and drilling data
- Includes dataStream for integrating data directly into ESRI map environments or CRM systems via API
- Facilitates analysis of hydraulic fracturing data, including chemical, completion, and production information
- Normalizes data, standardizing operator and supplier names for efficient analysis