Automate Industrial Expertise with Generative AI
AI-Powered No-Code Platform. For Industry 4.0
The world's largest enterprises use DeepIQ.
BHP is very impressed with the geological outcome that was based on the best analytics available.
Stephen Busuttil
Manager Data, BHP
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
DeepIQ’s new generative AI features will revolutionize offset well analysis and greatly improve accuracy, while reducing time taken by at least 95%
Antony Martin
Directional Drilling SME
Extract
Extract data from all your sources
- Drag and drop connectors to standard industrial time-series , geospatial and semi-structured sources including support for different network topologies
- Support for both real-time and batch ingestion of high-volume and high-velocity industrial data
- Sink support for all popular cloud platforms including AWS, Azure and GCP
Engineer
Engineer your data like never before
- Industry leading engineering support for time-series, geospatial and semi-structured data, including ETL / ETL workloads to power your enterprise data lake
- AI-powered automated contextualization to reconcile siloed data sources and construct comprehensive enterprise knowledge graphs
- Unprecedented scalability with parallel computation and streaming support
Explore
Explore your data with Generative AI
Generative AI powered data ops empowering subject matter experts leverage domain-rich natural language for multi-modal data engineering and exploration
Highly accurate results without model hallucination based on complete data and result lineage
Generative AI models trained on domain knowledge graphs to produce contextualized insights
Run on Multi-cloud or Hybrid Environments
DeepIQ is easy to deploy and use.
Lightweight
Uncompromised Data Ownership
Secure
Generative AI Results that you can trust.
No hallucinations. Complete data confidentiality. Highly cost-effective.
Security & Compliance
SOC 2 Type 2 Compliance
Our SOC 2 compliance demonstrates our commitment to managing your data with the utmost care. SOC 2 is an auditing procedure that ensures service providers securely manage data to protect the privacy and interests of their clients. This compliance covers the following principles:
- Security: Our systems are protected against unauthorized access.
- Availability: Our systems are available for operation and use as committed.
- Processing Integrity: Our systems process data accurately, completely, and timely.
- Confidentiality: Your sensitive information is safeguarded.
- Privacy: We protect personal information as per our privacy notice.
ISO/IEC 27001:2002 Certification
DeepIQ also holds the ISO/IEC 27001:2002 certification, a globally recognized standard for information security management. This certification underscores our dedication to maintaining a robust Information Security Management System (ISMS) that includes:
- Risk Management: Identifying, assessing, and mitigating risks to information security.
- Policy Development: Establishing comprehensive security policies and procedures.
- Asset Management: Protecting all forms of data assets within our organization.
- Access Control: Ensuring only authorized personnel have access to specific data.
- Incident Management: Effective response and management of security incidents.
