Fluidsdata and dataVediK Announce Partnership to Streamline OSDU Ingestion and Unite Fluids and Log

Fluidsdata and dataVediK today announced a strategic partnership that brings together Fluidsdata's domain-driven AI for fluids characterization and dataVediK's DataMoKsha™ platform to deliver two immediate outcomes for energy operators: seamless loading of fluids characterization data to the OSDU™ Data Platform using dataVediK's Universal Loader No-Code/Low-Code Data Ingestion Tool, and integrated analysis of fluids and log data to unlock deeper reservoir insights.

The collaboration is designed to give clients of both companies a simple path to move their data from Fluidsdata and dataVediK into OSDU, reducing friction, accelerating time to value, and enabling consistent governance. By making ingestion straightforward and standards based, the partnership lays a foundation for secure interoperability and scalable analytics across the subsurface lifecycle.

This joint effort also addresses a long-standing workflow gap. Operators acquire open hole logs during exploration or appraisal, and fluids samples are often collected immediately after logging. Yet the fluids laboratory report may not arrive for months, and different teams usually own each task. As a result, logs and fluids are rarely integrated end to end. Fluidsdata and dataVediK intend to remove these silos so that engineers can combine signals and context in one place and obtain clearer, faster decisions. The companies will further explore integration of their unique AI capabilities to advance fluids and log understanding.

Within the partnership, dataVediK will contribute its DataMoKsha™ Platform with logVediK™—a comprehensive geoscience analytics workflow that includes automated well logs digitization, LAS loading, logs processing, synthetic logs generation, real-time formation tops prediction, and lithology prediction. Together, these capabilities will augment geological insight with predictive modeling to enhance geosteering and reservoir understanding, while the Universal Loader simplifies data ingestion to OSDU.

Fluidsdata brings Fluids Intelligence, which turns decades of fluids characterization into an asset with domain-driven AI models that delivers measurement-quality predictions from existing fluids characterization data. Operators can reduce sampling and analysis costs as well as get the missing fluids characterization data while also benefiting from secure data management, advanced visualization, dashboards, exploration tools, and an Agentic AI that acts as a digital fluids expert. With new downhole fluids analysis expertise, Fluidsdata seeks to ingest optical and pressure data from formation testers, performs QA/QC, and provides explainable recommendations for faster fluid typing, contamination assessment, and real-time planning and execution of sampling programs.

"Integrating fluids and logs has been a missing link for many teams," said Afzal Memon, Technical Director of Fluidsdata. "By pairing end-to-end Fluids Intelligence software with dataVediK's Universal Loader and logVediK™, we give clients a practical path to get their data into OSDU and a powerful way to analyze it together. The result is faster insight, less rework, and a step change in decision quality for reservoir engineers. In effect, we're delivering what we believe is the industry's first truly unified treatment of fluids and log information at scales, so operators can act on one integrated, standards-ready dataset rather than stitching workflows after the fact which seldom happens."

"We built DataMoKsha™ to make complex subsurface data useful, trustworthy, and actionable," said Sunil Garg, CEO of dataVediK. "Our collaboration with Fluidsdata will brings the industry what we believe is the first integrated approach to fluids and logs data at scale. It combines standards-based ingestion with advanced analytics, so operators can unify workflows, improve subsurface understanding, and accelerate sustainable performance. Additionally, our Universal Loader gives operators a low-code path to land their fluids datasets in OSDU quickly and consistently, ensuring they can operationalize that data across the enterprise."

About Fluidsdata

Fluidsdata turns decades of fluid characterization data into an asset with domain-driven AI and Fluids Intelligence. Instead of re-sampling and re-analyzing fluids, operators get measurement-quality predictions from the data they already have, cutting future fluids sampling and analysis costs as well as providing missing fluids characterization data for the existing dataset. Fluidsdata also provides secure data management, advanced visualization, dashboards, and exploration tools, plus an Agentic AI that acts as a digital fluid expert to support decisions from reservoir to wellsite to surface. With new downhole fluids analysis expertise, the platform seeks to ingest optical and pressure data from formation testers, applies rigorous QA/QC and physics-backed interpretation, and delivers explainable recommendations for faster fluid typing, contamination assessment, and planning and execution of sampling programs in real time.

Media contact: Please connect with us through the Contact Us page on: Fluidsdata.com.

About dataVediK

dataVediK is an innovative AI/ML company headquartered in Houston, dedicated to advancing sustainable living through cutting-edge, data-driven innovation. dataVediK has developed DataMoKsha™, an integrated, end-user-centric, hyper-converged data and analytics platform which addresses complex optimization challenges in the energy industry. By combining energy domain expertise with advanced machine learning and intelligent automation, dataVediK empowers organizations to turbo-charge digital transformation initiatives, achieve operational excellence and accelerate their sustainability goals.