Our software product, which has successful implementations, allows to efficiently operate the industrial plants using AI and ML technologies.
Current Status
Product implementation. We have successfull commercial product implementations in a several industrial plants.
Market
Customers, which has an industrial plants in different industries - Chemical production, oil refinery, petrochemical, oil&gas processing, fertilizers.
Problem or Opportunity
Increasing efficiency of Industrial plants:
- Increasing productivity
- Reducing losses of target products
- Reducing output of by-products
- Reducing cost per unit
- Icrease energy efficiency
Solution (product or service)
Product consist of 2 models:
- Thermodynamic model of the Customer's plant
- Statistical model of the Customer's plant, which is based on AI technologies, using historical and online data from the Customer's plant.
Combination of these 2 models allows to predict the changes in operation regime of the plant in a period of up to 1 hour in the future and allows to recommend the operator most effective way to operate the plant.
Competitors
AspenTech, Honeywell, Yokogawa
Advantages or differentiators
- Combination of two type of models
- Possibility of Integration the product's software to the Customer's existing control system or to the low-cost tablet
- Lower price of product
- High effect of product's implementation for Customers (up to $18 mln per year)
Finance
Direct sales of Chemtab to the Customers.
Our plans:
In first year - to earn $1 mln
In second year - to earn $1,5 mln
In third year - to earn $3,5 mln
In forth year - to earn $7,5 mln
In fifth year - to earn $12 mln
Money will be spent on
- Increasing of production the Chemtab
- Upgrading the version of Chemtab