The startup develops machine learning software that automates the extraction of engineering and geoscience data from unstructured document databases in multiple languages. This technology enables engineers and geoscientists to efficiently access and analyze critical information from legacy datasets, facilitating the transition to new energy and renewable resources.
Funding
$2.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Engineers and geoscientists face challenges in efficiently accessing and analyzing critical information buried within vast amounts of unstructured engineering and geoscience documents. The manual extraction of data from these documents is time-consuming and prone to errors, hindering the transition to new energy and renewable resources.
Solution
Iraya Energies offers machine learning-powered software solutions that automate the extraction of engineering and geoscience data from unstructured document databases. The company's AI-enabled, cloud-native platform transforms unstructured data from the subsurface of the earth and surface facilities into accessible, usable, and actionable insights. Iraya's solutions enable users to browse thousands of pages of reports in seconds, identify missed pay opportunities, expedite decision-making, reduce non-productive time, and enrich company knowledge. The platform supports various file formats, including .pdf, .docx, .xlsx, pptx, .las, and .segy, and incorporates machine learning techniques such as natural language processing and deep convolutional neural networks.
Target Audience
Iraya Energies primarily serves engineers and geoscientists in the energy sector, including oil and gas companies, renewable energy firms, and organizations involved in subsurface exploration and production.
Features
- **ElasticDocs:** A cloud-enabled web solution that makes unstructured data instantly accessible through cognitive search and ranking of results.
- **Data Atelier:** A digital factory composed of pipelines orchestration, data tracking, and monitoring services, providing an intelligent engine that runs internal processes and machine learning algorithms in production.
- **Knowledge Graph:** Correlates related well events from one document to another, establishing an information highway within the document corpus.
- **Heat Map:** Quantifies extracted information in map view according to data density and generates instantaneous maps.
- **Image Classification:** Auto classification, pattern recognition, clustering, and search of text within images.
- **Data Factory:** Data mining services including initial download, cataloging, cleanup, and quality control of data.
- **Knowledge Workflows:** Development of Application Programming Interfaces (APIs) to capture new knowledge and insights from digitized documents.
- **Evergreen Series:** Multi-client datasets such as the Bonaparte 400, providing instant access to pre-processed geoscience and engineering knowledge.