Seamlessly Transforming Data into Action with Facilis
Facilis enables 98% of an enterprise to leverage manufacturing data, machine Learning, and AI, fostering a data-driven culture across your organization. Everyone can effortlessly turn data into profitable action.
Facilis removes 4 out of the top 5 barriers to AI implementation
Facilis targets key challenges hindering AI adoption. These include data accessibility hurdles, handling complex and voluminous data, quantifying its value, and addressing skill gaps among staff. Additionally, it tackles issues related to inadequate technology know-how, lack of capability to leverage AI techniques & complexity of AI solution(s) integration with existing infrastructure.
Number of companies surveyed by Gartner = 698; Base: Excludes Not Sure.
Q. What are or will be the top three barriers to the implementation of Al techniques within your organization. Answers are sum of top three.
Barriers To AI Implementation per Gartner Survey
Example Without Facilis.ai
Example With Facilis.ai
Process Engineer:
My NOx emissions are higher than limits. What process parameters are driving NOx emissions in my furnace at Detroit?
What Makes Facilis Different
Criteria
- Actionable Insights
- Ease of Use
- Application Flexibility
- Setup Time
Facilis Integrated Platform
- Combines explainable ML with curated domain knowledge
- User-friendly; no prior training, supports local languages
- Highly versatile for scalable use cases, pluggable agent architecture
- 2 days to 2 weeks
Vendors of ML Models
- Partial. Provides only statistical insights
- Custom development to consume models
- Primarily for predictive anaylysis & simple classifiactions
- Requires preexisting Data Science/Engineering or MLOps capability
Vendors of Partial Insights
- Partial. Provides only statistical insights
- Specialist support required
- Pre-set for specific use cases (e .g., quality, predictive maintenance
- One -Several months
What Facilis Can Do For You
1.
Visualize
- Offers a comprehensive visual overview of data through various graphical methods.
- Spotlights patterns and trends in combustion temperatures, defect counts, and more across different plant locations.
- Empowers users to interpret and act upon visual data insights.
2.
Analyze
- Delves into data to unveil relationships and predict future trends.
- Uncovers correlations between variables like NOx production and combustion temperature.
- Equips users with the tools to forecast future defect rates and detect anomalies.
3.
Optimize
- Focuses on refining processes for maximum efficiency and minimum defects.
- Determines optimal fuel and air flow ranges for defect reduction.
- Conducts root cause analyses to pinpoint and address issues.
4.
Troubleshoot
- Guides users in safety measures and best practices for equipment maintenance.
- Presents real-time thermal imagery of plant equipment for timely interventions.
- Advises on challenges related to combustion and air pollution control.
5.
Consult
- Serves as an interactive knowledge base for domain-specific insights.
- Educates on factors influencing flame dynamics and types of flames.
- Enhances understanding of the impact of air preheating on emissions.
Industries We are Serving
- Chemical
- Food and Beverage
- Oil and Gas
- Agriculture
- Pharmaceuticals
- Pulp and Paper
- Textile Industry
- Metal Production & Processing
- Biotechnology
- Aerospace and Defense
- Minerals & Materials Processing
- Automotive
- Water & Wastewater Treatment
- Energy Industry
- Electronics Manufacturing etc
What You Can Do With Our Platform
Using real-time data analytics, Quanta could fine-tune production processes, leading to minimal waste, reduced downtime, and maximum efficiency.
By predicting when machinery and equipment are likely to fail or need maintenance, Quanta can save businesses unexpected costs and downtime.
Advanced data analytics can help in detecting and rectifying production anomalies, ensuring consistent product quality.
For process industries especially, data can be utilized to monitor and reduce energy consumption, leading to cost savings and a lower carbon footprint.
Automated data analysis can ensure that all processes adhere to safety standards and regulatory compliance, reducing risks and potential liabilities.
By centralizing & analyzing data from different parts of operation, Quanta can provide view of the entire manufacturing process, allowing for better decisionmaking.
In modern manufacturing, many machines and devices are IoT-enabled. Quanta could seamlessly integrate with these devices for real-time data collection and analytics.
Partners Powering Success With Facilis
