DeepIQ

Overview

DeepIQ is an Industrial DataOps and AI company based in Houston, Texas. It specializes in enhancing operations for the energy and heavy asset industries through intelligent data integration and contextualization. The company provides solutions that help enterprises convert complex operational technology (OT) and information technology (IT) data into actionable insights across various environments, including upstream, midstream, and downstream operations.

The platform is a secure, lightweight Software-as-a-Service (SaaS) solution optimized for the Databricks Lakehouse ecosystem. It features drag-and-drop connectors for various data sources, supports real-time and batch ingestion, and offers advanced capabilities for ETL/ELT workloads. Generative AI enables subject matter experts to explore multi-modal data through natural language queries, and the CoPilot tool enhances workflows in well planning, refinery optimization, and ESG reporting. The platform is designed for easy deployment in multi-cloud or hybrid settings while ensuring data security and ownership.

Basic Information

Industry	information technology & services
Founded	2016
Revenue	5.2M
Headquarters	1880 Dairy Ashford Rd, Suite 208A, Houston, Texas 77079, United States

Contact Details

Key Focus Areas & Initiatives

Strategic consulting
Big data software services
Advanced analytics
One stop solution
Data infrastructure & analytics
Real-time data processing
ML model training and deployment
Fuzzy inference networks
Generative AI for industrial reasoning
Industrial data pipelines
Siloed data reconciliation
Enterprise AI solutions
Multimodal data lakes
SOC 2 Type 2
Statistics and quality metrics
Oil & gas
Time-series data processing
AI for industrial digital twin
ISO/IEC 27001
Disparate data source reconciliation
Distributed computation
Data cleansing and smoothing
Multimodal data lake construction
Scalable data workflows
AI for predictive asset management
Data extraction and ingestion
Enterprise data engineering
Operational data analytics
Data exploration
AI for geospatial pattern detection
Secure data transfer
Natural language data exploration
AI-powered digital twins
Industrial manufacturing
Secure private link
AI for geoscience data analysis
Automated schema inference
Cloud native SaaS
End-to-end automation
Predictive workflows on large volumes
Data unification and master data management
Multi-cloud support
Knowledge graphs
Geospatial data analytics
Data security and privacy
Geospatial data volume processing
Data ingestion platform
Data security and compliance
Industrial expertise digitization
Data visualization tools
AI-driven data operations
Data mastering and reconciliation
Geospatial data processing
Laser-fast geospatial joins
Industrial IoT integration
Data lineage tracking
AI-driven sustainability analytics
Edge data connectivity
No-code data platform
Automated data engineering
Geospatial analytics
Structured learning algorithms
Entity reconciliation
AI for environmental compliance
Hyperparameter search
Compliance standards
Sustainable industrial operations
Cloud-native architecture
Hyperparameter tuning
Industrial data exploration
AI for complex geospatial modeling
Industrial automation
Power & utilities
Geospatial high-quality datasets
Automated data schema mapping
Change data capture
High-velocity data support
Cost-effective AI solutions
Geospatial data transformation
Predictive maintenance
Data quality assurance
Cloud platform integration
Predictive analytics for drilling
Generative AI
Data governance
Industrial data workflows
Self-running power plants automation
Multivariate pattern search
Batch data ingestion
Geospatial containment and overlap analysis
Model lifecycle management
Data unification
AI for operational safety
AI-powered data engineering
Multi-cloud deployment
AI for industrial process control
Edge computing
Data exploration with AI
AI for energy efficiency
Industrial data management
Pattern matching algorithms
Data lineage and audit
Parallel processing
Machine learning pipelines
Cloud and on-premise deployment
Data visualization and monitoring
Industrial process automation
Data security standards
Data lineage and audit trail
Spatial interpolation techniques
datastudio platform
Industrial data lineage
Data pipeline orchestration
Industrial data integration
Enterprise data lake
Large-scale data processing
Fault-tolerant data transfer
Data lake building
3D geospatial prediction workflows
Data science for industry
B2B
Services
Computer systems design and related services
Operational efficiency
Process optimization
Digital transformation
Information technology
Management consulting
Information technology & services
Oil & energy
Mechanical or industrial engineering

Technologies Used

AI
Alteryx
Amazon SES
Apache
Bootstrap Framework
Databricks
Google Font API
Google Tag Manager
Mobile Friendly
Nginx
Outlook
Webflow
WordPress.org
YouTube
reCAPTCHA

DeepIQ | Company Profile