AI for Industrial Processing

Industry Challenges

Our Solutions

High Energy Cost

Managing costs in energy-intensive production.

Carbon Reduction Pressure

Firms are required to cut carbon emissions drastically by 2030.

Operational Efficiency

Operational automation is outdate and not adapted to new business’s strategies.

Process Standardization

Inconsistency in processes and quality control due to diverse range of operator’s experiences.

High Energy Cost

Utilize operational data analytics to optimize energy-intensive processes and dynamically adjust parameters.

Carbon Reduction Pressure

Tools to track the carbon emissions. Process optimization needs to be adjusted due to changing economic factors.

Operational Efficiency

Leverage data to pinpoint inefficiencies and automate operation following flexible strategies.

Process Standardization

Leverage your data to gain insights and predict the plant’s needs, improving decision-making and outcomes.

Industry Challenges

High Energy Cost

Challenge: Managing costs in energy-intensive production.

Need: Utilize operational data analytics to optimize energy-intensive processes and dynamically adjust parameters.

Carbon Reduction Pressure

Challenge: Firms are required to cut carbon emissions drastically by 2030.
Need: Tools to track the carbon emissions. Process optimization needs to be adjusted due to changing economic factors.

Operational Efficiency

Challenge: Operational automation is outdate and not adapted to new business’s strategies.
Need: Leverage data to pinpoint inefficiencies and automate operation following flexible strategies.

Process Standardization

Challenge: Inconsistency in processes and quality control due to diverse range of operator’s experiences.
Need: Standardization and automation of operational strategies, in an agile way.

Koidra Solutions

Koidra endeavors to work side-by-side with clients, providing tailored solutions to tackle industry challenges.
Datapilot

We offer a comprehensive solution for ORC systems throughout the greenhouse facility.

Autopilot Grow

The high volume of data organized into a user dashboard for visualization fosters the operation of greenhouses.

Autopilot 360

Comprehensive solutions with top-down and bottom-up approaches are allocated to conduct risk assessment and exposure mapping.

Energy Optimization
Datapilot for Energy Industry

DataPilot

Comprehensive operational advanced analytics

DataPilot streamlines operational data and visualizes them in intuitive dashboards. It offers a holistic view of real-time facility’s condition and performance.

DataPilot empowers you to plan predictive maintenance, adjust energy consumption and emission, and ensure the safety and performance of your machines.

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Autopilot for Energy Industry

KoPilot

Condition-based controls in production

Built on top of DataPilot, KoPilot’s control functions are as user-friendly as Excel formulas, allowing operators to experiment and iteratively discover their machines’ optimal performance levels.

This drives continuous improvement, enhances productivity, and steers towards a fully autonomous system.

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Success Stories

Koidra’s Intelligent Automation for Improved Efficiency at Ayo Biomass

Koidra partnered with Vietnam-based Ayo Biomass to boost its drying and production capacities. Facing diverse feedstock moisture levels and particle sizes, Koidra offered plug-and-play, low-code solutions to dissect data and automize Ayo Biomass’s new drying line.
Benefits

Enhanced machinery performance

Comprehensive automation solutions

Optimized resource usage

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Case Studies

Discover the impact of our versatile automation solutions, successfully deployed in diverse scenarios.

Koidra’s Intelligent Automation exceeds leading Canadian greenhouse’s production by more than 20%

               

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Boosting net profit to 27.8%, Koidra won the Autonomous Greenhouse Challenge, again

                  

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Discover How Koidra Can Help Your Business

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our solutions help optimize your ROI

News

FAQs

How does Koidra's operator-driven KoPilot work?
  1. Operator Involvement: It allows operators, who are often the most knowledgeable about the process flow, to take an active role in automation.
  2. Knowledge Preservation: The platform’s transparent, version-controlled automation becomes a company’s intellectual property.
  3. Standardization of Operations: Koidra aims to standardize operations across different shifts and opinions, moving away from ad-hoc experiences to a more unified approach.
What are the competitive advantages of Koidra?
  1. Public Track Records: Koidra has a unique claim of enhancing yield and profit, validated by third parties.
  2. Experience Combination: Koidra combines software technology with manufacturing operations expertise, a rare combination among competitors.
  3. Commercial Partnerships: Koidra has partnerships with large farms and top research institutions.
  4. Integration and Security: Their systems offer seamless integration with existing control systems and enhanced security features.
What are the challenges and advancements in IoT?
  1. IoT Potential and Challenges: The economic value of IoT is significant but capturing it is challenging. The value captured in 2020 was at the lower end of the 2015 projections, and future estimates have been adjusted due to changing conditions.
  2. Changes in IoT: There have been significant shifts in IoT adoption, impacts, and external factors like GDP growth and oil prices since 2015.
  3. Factors Influencing IoT Growth: Key factors affecting IoT market growth include technological advancements and changes in business and economic landscapes.
How does Koidra approach IoT and automation?
  1. Koidra’s Expertise: Koidra possesses expertise in data analysis, energy modeling, and programming, while customers contribute their operational experience.
  2. Koidra’s Products: Datapilot and KoPilot are Koidra’s software products, offering solutions like remote monitoring and analysis using OPC protocol.
  3. Automation and Customization: Koidra emphasizes the need for tailored solutions for each factory due to unique factors like process flow and materials. They propose automation plans and iterative improvements using their platform.
What is the concept of preventive maintenance in Koidra’s context?
  1. Traditional vs. Modern Maintenance: Traditionally, maintenance was scheduled or based on manual planning. Koidra introduces data-driven preventive maintenance, allowing for more efficient and timely maintenance actions.
  2. Maintenance Notification Service: Koidra suggests a proactive maintenance notification service, which could be a new offering for service departments of hardware makers, shifting from selling replacements to providing maintenance services.
What improvements does Koidra offer in automation and maintenance?
  1. Automation Logic: Koidra’s approach moves away from traditional ladder logic, offering transparent, accessible, and easily adaptable automation logic.
  2. Maintenance Planning: Koidra advocates for a shift from manual, schedule-based maintenance to a more efficient, data-driven approach.
  3. Cost Savings: The adoption of Koidra’s methods can lead to reduced labor costs and more efficient maintenance planning for end users.