Case Study
How Better Software Automated Oil & Gas Data Pipelines
Engineering work on an oil and gas information platform, including data pipelines, document processing and search.
Type
AI-Powered Smart Assistant Platform
Platform
Web
Industry
Oil & Gas, Energy Technology
The Challenge
Speed vs. stability.
Oil & Gas organizations generate massive volumes of unstructured data, PDFs, logs, financial statements, field reports, and much of it remains buried, unused, or slow to retrieve. This creates operational drag and delays critical analysis. Common industry challenges include:
Decision delays when insights must be manually extracted
Knowledge silos that limit collaboration and visibility
Time-consuming processes for basic document and data analysis
The client wanted to eliminate these barriers by building strong automation foundations that would power a smart assistant capable of answering complex questions instantly.
Our Approach
The Solution
Better Software partnered with the client through a Team Augmentation model, embedding product engineers to design and build scalable data pipelines, intelligent extraction workflows, and a high-performance backend architecture capable of supporting real-time conversational analytics.
01
Airflow pipeline development
to extract text from unstructured documents and seamlessly upload results into Elasticsearch
02
Automated document processing
for uploaded and emailed files, removing manual steps from data ingestion
03
Enhanced query capabilities
through optimized Elasticsearch mappings enabling financial comparisons and trend analysis
04
Intelligent user experience
features including question suggestions and typeahead prompts to accelerate discovery
Takeaways
Lessons for other founders
01
Automation is essential for scale, manual processes create decision-making bottlenecks.
02
Intelligent question suggestions dramatically improve user engagement and insight discovery.
03
Foundational backend architecture directly impacts user experience and long-term performance.
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