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How Better Software Built Automated Data Pipelines for an Oil & Gas Smart Assistant

Item: Bettr
Rating: 5
Author: Client

A robust, scalable data infrastructure foundation for an AI-powered smart assistant, engineered to automate data extraction, streamline analysis, and deliver real-time insights from day one.

Type

AI-Powered Smart Assistant Platform

Type

AI-Powered Smart Assistant Platform

Type

AI-Powered Smart Assistant Platform

Platform

Web

Platform

Web

Platform

Web

Industry

Oil & Gas / Energy Technology

Industry

Oil & Gas / Energy Technology

Industry

Oil & Gas / Energy Technology

Nesh

The client is a Texas-based energy technology startup building a device-independent smart assistant for upstream Oil & Gas. The browser-based platform connects to unlimited internal and public data sources, unlocks insights from unstructured documents, and enables natural conversations with data. Designed to break down knowledge silos, the assistant helps teams make faster, more confident decisions by organizing collective intelligence and making it accessible across the organization.

KEY RESULTS

Beyond the immediate metrics, this engineering foundation transformed how energy companies interact with data and unlocked long-term scalability.

Drastically

reduced response times through optimized Airflow pipeline architecture

Drastically

reduced response times through optimized Airflow pipeline architecture

Drastically

reduced response times through optimized Airflow pipeline architecture

Faster

insights via intelligent question suggestions and typeahead assistance

Faster

insights via intelligent question suggestions and typeahead assistance

Faster

insights via intelligent question suggestions and typeahead assistance

Zero

manual bottlenecks after fully automated document extraction workflows

Zero

manual bottlenecks after fully automated document extraction workflows

Zero

manual bottlenecks after fully automated document extraction workflows

Higher

backend performance through service-based architecture redesign

Higher

backend performance through service-based architecture redesign

Higher

backend performance through service-based architecture redesign

THE Challenge

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

Expensive rewrites that delay growth by months

The client wanted to eliminate these barriers by building strong automation foundations that would power a smart assistant capable of answering complex questions instantly.

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

OUR APPROACH

Airflow pipeline

development to extract text from unstructured documents and seamlessly upload results into Elasticsearch

Airflow pipeline

development to extract text from unstructured documents and seamlessly upload results into Elasticsearch

Airflow pipeline

development to extract text from unstructured documents and seamlessly upload results into Elasticsearch

Automated document

processing for uploaded and emailed files, removing manual steps from data ingestion

Automated document

processing for uploaded and emailed files, removing manual steps from data ingestion

Automated document

processing for uploaded and emailed files, removing manual steps from data ingestion

Enhanced query

capabilities through optimized Elasticsearch mappings enabling financial comparisons and trend analysis

Enhanced query

capabilities through optimized Elasticsearch mappings enabling financial comparisons and trend analysis

Enhanced query

capabilities through optimized Elasticsearch mappings enabling financial comparisons and trend analysis

Intelligent user

TECHNOLGY USED

The Impact

This engineering investment directly resolved the client’s most pressing issues, improving speed, automation, and user experience across every workflow.

Before

Challenges

Manual data extraction slowing operations

Slow and limited query responses

Static financial analysis workflows

Basic user interactions

After

Software

Automated Airflow pipelines enabling end-to-end ingestion

Real-time conversational insights

Dynamic quarterly and yearly comparisons

Typeahead suggestions and smart prompts

LESSONS FOR OTHERS FOUNDERS

Automation is essential for scale, manual processes create decision-making bottlenecks.

Intelligent question suggestions dramatically improve user engagement and insight discovery.

Foundational backend architecture directly impacts user experience and long-term performance.

Better Software helped the client build an automation-ready data platform that transformed how energy companies access and interact with their most valuable resource, their data. With the right engineering foundations, organizations don’t have to choose between speed and sophistication.