An end-to-end platform for all your AI needs
Our diverse team has expertise in machine learning, process control, oil & gas as well as mining & metals. This combination has enabled us to come up with a state-of-the-art product for your industrial process.
End-to-end solution that fits seamlessly with your existing data infrastructure and control instrumentation.
Get insights that can't be provided by conventional rule-based algorithms.
AI — not because it sounds fancy but because it addresses your specific needs.
Models that stay true without re-training.
Plan big, start small, avoid the risk.
Your plant, your choice — we respect your preference.
You have an industrial process. We have an AI solution for your process control and planning needs.
Machine learning models coupled with advanced dashboards for scenario analysis and influencer identification.
Real-time AI assistant to help you steer clear of process upsets, improve stability, and maximize profitability.
No more alarm overload. Our product helps your operators stay safe by handling alarms.
Our AI solution can detect anomalous conditions and warn operators to proceed with caution.
Being a large chemical process plant, the client wants to know what are key factors impacting the manufacturing process.
The manufacturer has 12 raw materials and 45 processes variables to identify factors that are affecting the yield. We analysed the data, identified the influencers along with their weightage on the final yield.
NTWIST and Sherritt Technologies assessed and proved the viability of an artificial intelligence (AI) process optimization solution for HPAL autoclave operations in 2018. The AI model identified operating conditions that increased potential profit during approximately 40% of the total operating hours. In light of the findings, Sherritt Technologies and NTWIST are collaborating to provide the AI process optimization solution to external customers.
Autoclave operators have insufficient information to actively maintain optimal operation.
We used historical data to create a data-driven ‘Digital Twin’ model of the autoclave circuit which enabled us to predict process parameters based on current inputs. We then created an AI-powered optimizer/recommender which utilized the digital twin model to estimate the optimal set points and provide guidance to the operators.
Unlike human operators, our solution takes into account all available input data, and estimates the unavailable data. The AI has access to up-to-date economic data and takes into account downstream costs. Over the six-month evaluation period, the AI model identified operating conditions that increased potential profit in approximately 42% of the total operating hours; even with the limited operating data available to build and train the models. The AI was also able to identify the setpoints required to bring adverse operating conditions to within their target limits in approximately 17% of the total operating hours.
The digital twin model can also be used for personnel training and as an analytics tool.
Profit increasing recommendations: Substantial increase of operating hours.
Adverse operating conditions brought to within their target limits in more than 10% of the total operating hours.
Scenario analysis & training tool for operators, technical staff and management.
Key influencer identification to assist with troubleshooting & cross-validation of measured data to assist in error identification.