Digital Petroleum

What Digital Petroleum does

Digital Petroleum is an AIOT (Artificial Intelligence of Things) company that applies artificial intelligence to digitize and decarbonize industrial processes across three verticals: Oil & Gas, Manufacturing, and Water utilities. The company's stated value proposition is enabling industrial operators to simultaneously digitize operations and reduce emissions without requiring expensive high-computing infrastructure, anchored on a proprietary "hybrid architecture" that combines artificial intelligence with natural intelligence in its AI Copilot.

The product suite is built around four integrated offerings: Deep Predict, the core AI-powered predictive analytics engine that processes time-series sensor data from industrial equipment to predict energy consumption, emissions, equipment failures, and production optimization; Command Center, a centralized monitoring and remote-control platform for managing multiple industrial facilities; Digitalization Design, a transformation consulting and implementation service covering SCADA integration, real-time controls, and distributed analytics; and Decarbonization & Energy Management, which uses the company's "Digital Petroleum Equation" (10% efficiency increase yields 4% emissions reduction) to optimize for sustainability targets. AI capability types disclosed include predictive analytics, process automation, optimization, and anomaly detection, with documented use cases for one-week plant digitization in water and manufacturing.

Commercially, Digital Petroleum pursues enterprise field sales targeting large industrial operators, with Aramco as a named customer and explicit alignment to Saudi Arabia's Vision 2030 industrial transformation agenda. The company operates from offices in Dhahran (Saudi Arabia), Doha (Qatar), and Houston (USA), serving markets including Saudi Arabia, Qatar, Tunisia, and Libya. Revenue mechanics appear to be subscription/recurring enterprise contracts for ongoing platform access and monitoring services, though pricing is not publicly disclosed. The company received strategic investment from Qatar Insurance Group in February 2025 to support regional expansion, and has won four industry awards in 2024, including the SPE Decarbonization Award.

Name

Digital Petroleum

Legal name

Digital Petroleum

Website

https://digitalpetroleum.com

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

11–50 employees

Short description

Digital Petroleum is an AIOT company that digitizes and decarbonizes industrial processes in Oil & Gas, Manufacturing, and Water through its Deep Predict, Command Center, and Decarbonization platforms, serving enterprise clients including Aramco across MENA and the US.

Ownership category

akta.pro rank

Product category

Industrial AI Software / Industrial Decarbonization Software

NAICS

Software Publishers (5132)

SIC

Oil & Gas Field Services, Nec (1389)

akta.pro primary industry

EMS Digitalization (Software Selection, Configuration & Workflow Automation) (EUAHAIAL)

Keywords

• Industrial decarbonization software
• AIOT industrial platform
• Predictive maintenance solutions
• Energy emissions optimization
• Digital oilfield solutions

Headquarters

HQ city

Al Khobar

HQ country

Saudi Arabia

HQ region

Middle East

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure

Revenue model

1. AIOT Platform Subscription: Digital Petroleum appears to offer its AIOT solutions through recurring subscription arrangements, given the enterprise-focused sales motion and long-term operational monitoring services (Command Center, ongoing Deep Predict platform access). The nature of industrial decarbonization projects suggests multi-year engagement contracts with monitoring and optimization services.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

Core offering

Digital Petroleum sells an AIOT (Artificial Intelligence of Things) software platform that digitizes and decarbonizes industrial processes across Oil & Gas, Water, and Manufacturing. The offering comprises four products — Deep Predict (AI predictive analytics), Command Center (centralized remote monitoring and control), Digitalization Design (digital transformation consulting and integration), and Decarbonization & Energy Management (sustainability optimization). It is delivered through enterprise subscription-style engagements with direct sales to industrial operators.

Product overview

Digital Petroleum offers a unified AIOT (Artificial Intelligence of Things) platform with four core products: Deep Predict (AI-powered predictive analytics engine), Command Center (centralized monitoring and control), Digitalization Design (digital transformation consulting), and Decarbonization & Energy Management (sustainability optimization). The Deep Predict platform serves as the core AI engine that can be applied across multiple industries (Oil & Gas, Water, Manufacturing) to digitize and decarbonize industrial processes. The company leverages a hybrid AI architecture combining artificial and natural intelligence to deliver predictive maintenance, energy optimization, and emissions reduction without requiring high computing infrastructure costs.

Differentiator

Problem solved

Functional benefit

Brands

• Deep Predict: AI-powered platform for predicting and optimizing energy, carbon emissions, production, water usage, and predictive maintenance in industrial processes.

Products and services

• Deep Predict AI-powered predictive analytics platform that digitizes and decarbonizes industrial processes by predicting energy/emissions, production optimization, water footprint reduction, and equipment failures. Processes time-series sensor data from industrial equipment without requiring high computing or infrastructure costs.
• Command Center Industrial command center design and implementation solution that enables remote monitoring, control, and optimization of overall operations from a centralized digital hub. Supports scaling from a single digital plant to multiple facilities.
• Digitalization Design Digital transformation consulting and implementation service providing predictive analytics, deep learning models, and data analytics methods to optimize production, improve efficiency, enhance safety, and achieve environmental compliance.
• Decarbonization & Energy Management Sustainability solution that optimizes industrial processes to meet emissions reduction targets using the Digital Petroleum Equation (10% increase in efficiency = 4% reduction in emissions). Increases reliability to prevent unplanned shutdowns and reduce flaring.

Quantifiable outcome

• 40% energy/emissions reduction in industrial processes
• +7 more outcomes

Named customers2 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature5 records

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Augury: AI-driven predictive maintenance and process optimization platform for manufacturing and industrial operators. Comparable in combining sensor data, AI, and operational sustainability outcomes.
• C3.ai: Enterprise AI software company offering pre-built AI applications for industrial sectors including oil & gas, manufacturing, and utilities. Directly comparable as a vertical AI platform targeting similar decarbonization, predictive maintenance, and process optimization use cases.
• SparkCognition: Industrial AI company deploying machine learning for asset performance, predictive maintenance, and energy optimization across oil & gas, manufacturing, and utilities. Closely matches Digital Petroleum's AIOT positioning and target verticals.
• Uptake: Industrial AI and IoT analytics platform serving manufacturing, energy, and heavy industry with predictive analytics and asset performance solutions. Highly comparable offering and target customer profile.
• Canvass AI: Industrial AI platform focused on process optimization, energy management, and emissions reduction for heavy industry. Closely aligned with Digital Petroleum's Deep Predict product and decarbonization value proposition.
• Braincube: Industrial AI and analytics SaaS provider for manufacturing operations, focused on OEE improvement, production optimization, and digital factory transformation. Direct overlap on manufacturing vertical.

Broad incumbents

• Honeywell Forge: Enterprise performance management software from Honeywell serving oil & gas, chemicals, and manufacturing with digital twin, asset performance, and sustainability modules. Larger incumbent with overlapping capabilities but broader portfolio scope.
• Siemens MindSphere / Xcelerator: Siemens' industrial IoT and digital industries platform serving manufacturing, energy, and process industries with predictive analytics and digital twin capabilities. Established incumbent competing for the same enterprise digitization wallet.
• AVEVA: Industrial software provider for engineering, operations, and digital transformation in process and infrastructure industries including oil & gas and water. Incumbent competitor with broader suite but less AI-native positioning.
• ABB Ability: ABB's industrial IoT and AI platform for energy, process, and manufacturing customers. Large incumbent with overlapping industrial AI capabilities, often competing for similar enterprise deployments.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/digitalpetroleum

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds2 records

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Digital Petroleum