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What is Optima?

A cutting-edge digital oilfield analytics platform driven by IoT technology is transforming operational efficiency and resource management. Optima leverages machine learning analytics to reshape how businesses in the oil and gas industry manage their operations and assets. By focusing on transparency, real-time reporting, and scalability, the platform utilizes enriched data to boost productivity and achieve significant cost savings. This adaptable solution can be deployed in both cloud and on-premise environments, allowing for seamless integration with current workflows. Through the integration of IoT, blockchain, and AI features within an intuitive microservices architecture, it delivers a customized and easily accessible strategy for data-enhanced decision-making across the energy sector. Our data analytics rule engine connects workflows, teams, and high-frequency data, providing deeper insights while also offering easy import/export functionalities and a robust document archive for quick access. This state-of-the-art platform not only equips organizations to make well-informed decisions but also fosters collaboration among various departments within the industry, ultimately driving innovation and growth. By facilitating enhanced communication and shared insights, it paves the way for a more connected and efficient energy landscape.

What is PakEnergy DocVue?

PakEnergy DocVue brings automation to every stage of document management. Files from emails, shared drives, and scanners are automatically captured and processed, reducing delays and minimizing errors. This means less time spent on manual tasks and more focus on critical operations. Approval workflows are organized for clarity, with every step tracked in a detailed audit trail. Once documents are processed, they become actionable—invoice details and line items are moved directly into Pak Accounting, eliminating repetitive data entry while allowing for adjustments when needed. PakEnergy DocVue also ensures reliable protection for critical information. The cloud-based system is designed for secure access and long-term integrity, with ongoing enhancements that maintain compliance and strengthen defenses against emerging risks.

Media

Media

Integrations Supported

PakEnergy

Integrations Supported

PakEnergy

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kellton

Company Location

India

Company Website

www.kellton.com/products/optima

Company Facts

Organization Name

PakEnergy

Date Founded

1986

Company Location

United States

Company Website

pakenergy.com/docs

Categories and Features

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

Categories and Features

Document Management

Access Controls
Archiving & Retention
Collaboration Tools
Compliance Tracking
Document Archiving
Document Assembly
Document Capture
Document Conversion
Document Delivery
Document Indexing
Document Retention
Electronic Signature
Email Management
File Recovery
File Type Conversion
Forms Management
Full Text Search
Offline Access
Optical Character Recognition
Print Management
Version Control

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

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