Engineer and Explore your data like never before

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Generative AI powered self-service {Data+AI} Ops

Built for data experts and SMEs alike

Cloud native app with simple footprint and elastic scalability

State of the art time series and geospatial data engineering libraries

Fortune 500 clients across industry verticals

What Our Customers Say

“DeepIQ has powerful capabilities for processing sophisticated 3D geospatial data using Fuzzy inference networks and deep learning models. DeepIQ’s distributed computational framework allowed us to execute sophisticated prediction workflows on large 3D geospatial volumes in a matter of minutes”

— Antoine Caté PhD, PGeo, Senior Consultant (Structural Geology)

“DeepIQ was just what we needed to successfully meet the scope and schedule requirements of our integration.”

- Jimmy Holmes, Director Data Management & BI

“To date, Schlumberger has utilized DeepIQ to build multiple O&G data transformation pipelines. We have found DeepIQ to be a powerful IT-OT tool that simplifies the development process, saving time and facilitating closer collaboration with non-technical personnel.”

- Benoit Foubert, VP technology Digital Operations Solutions at Schlumberger


Leverage simplified connectors to your industrial data sources

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Use dedicated algorithms to process time series and geospatial data

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Achieve IT-OT convergence with a collaborative app for your technology and operations teams

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Combine data engineering and AI model optimization in single step

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DeepIQ Architecture

DeepIQ is a Kubernetes orchestrated app that uses your cloud’s elastic capabilities to scale to your data needs


Harness Generative AI for seamless data workflows

DataStudio is integrated with Generative AI models to automate DataOPs.

This feature is a game-changer for a wide range of subject matter experts such as O&G production and drilling engineers, plant operation managers, quality engineers, and energy and utilities specialists.

With this cutting-edge capability, our customers can expect significant time savings and reduced skill requirements for data exploration and engineering.

Check out this video for a look at a Oil and Gas Production use case.


Run on Multi-cloud or Hybrid Environments

Autoscale your workflows using your favorite cloud or on-premise platform.