Uncover Hidden Insights with The Power of Structured Data
dStill is an advanced data extraction platform that unlocks structured data from unstructured documents, providing businesses with high-quality data rapidly. With the power of human-assisted machine learning, it enables the capture of structured data from various document types, processes natural language and tabular data, creates searchable documents, and delivers data in any desired format. By combining technology with human expertise, dStill empowers businesses to extract valuable insights from large volumes of unstructured data, revolutionizing how they leverage information.
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ML models with +90% F-score to predict and expedite data extraction
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Disparate images spanning decades
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annual reduction in CAPEX for data processing
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Increase efficiency by capturing more content per document and improve overall quality
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Speed improvement in title abstract production
Landmen
Don't let image-based data hold you back. dStill unlocks the power of courthouse and proprietary records, transforming them into actionable insights for understanding liabilities and seizing opportunities.
Geologists
“If I have seen further than others, it is by standing upon the shoulders of giants.” Every great exploration idea is a derivative of an imprint from our past. That imprint is in a 1952 spacing order. Mud log. Exhibit. dStill structures unstructured data and surfaces valuable insights “hidden in plain sight.”
Mineral Buyers
Hey, Unit Declarations containing names, addresses, and ownership decimals - let’s structure them at scale.
Brokers
Document classification and “related documents” are at the heart of creating run sheets and title opinions. Lease provisions are integral to HBP analysis and pughed out acreage analyses. Put the robots to work for you to get the details out of the documents.
Analysts
There’s no place for you here. Joking. Not joking.
Engineers
AFEs are a proxy to LOE and IRR. AFEs are not standardized within companies, let alone across companies. AFEs and documents like them can be structured at scale to give you information that you may not have in your OBO or wells files.
Our online cloud-based data extraction platform, dStill, empowers you with:
Structured Data Extraction
Capture structured data from various unstructured document types, including TIFF, JPG, and PDF.
Document Processing
Process natural language documents, such as contracts, and tabular data, like forms and tables.
Searchable Magic
Create "Google-like" searchable documents for easy access and analysis.
Data Integration Mastery
Deliver data in any desired format or integrate it into your existing applications to support thorough analysis.
Revolutionary Unstructured Data Extraction
dStill is a game-changer in the field of structured data extraction. Born out of our determination to overcome skepticism, we have developed a scalable solution to unlock valuable insights from unstructured PDF and TIFF files. By aggregating data from diverse sources, our robust infrastructure automates the processing and extraction of structured data, empowering businesses with unparalleled intelligence.
Combining the power of artificial intelligence with human expertise, we have overcome challenges and achieved exceptional scalability and cost-effectiveness. With millions invested in the platform, dStill transforms vast amounts of public image data into structured formats, enabling businesses to harness the true potential of their data. Experience the revolution of data extraction with dStill by Oseberg.
How It Works
Source Data
• Source data is ingested into dStill
Image Processing
• Image preparation (rotation correction, size resampling, etc.) to ensure OCR quality.• OCR extracts text from a document image and inserts it into a new searchable PDF document version of the original
Data Extraction
• Document classification • Supervised ML Models (select domains) • Technology-assisted data extraction
Data Export
• Save to database • Exportable to Excel format for easy viewing • Data can be delivered in any format or integrated directly into applications