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Oil & Gas

Minimum Viable Product (MVP) Development For Startups

Challenge
Initially small and medium Oil Companies have an issue with frequent Well failures. Large amount of unstructured historical data could not be utilised efficiently and decisions regarding repair plan took way too much time. Idea was to decrease mean time between failures dramatically (reduce operating costs) by maximizing value of information available, minimize Non-Productive Time (NPT). To launch and scale this Startup in shortest possible time we needed to build a strong Team, process Customer Development, provide Technical solution as MVP and scalable Cloud Apps.
Approach
In 2 weeks we set up Scrum Team including Product owner, Scrum master, Developers. Simultaneously we made Customer Development steps to define the right business model. It was necessary to choose proper technology stack. From one hand it should enable fast MVP release with possibility of easy pivots, from the other hand support future scalability and new features production. We chose ASP.NET Core, Angular 6 (Clarity/Bootstrap, Plotly), PostgreSql, Amazon Web Services, Gitlab CI.
Solution
We've built Cloud App which 100% fits to Market with reliable Architecture, nice intuitive UI/UX. The core functionality was designed to ensure stable performance during scale-up stages. We explore implementing Machine learning algorithms for predictive analytics and dynamic data processing.
Technologies
  • ASP.NET Core
  • Angular (Clarity/Bootstrap, Plotly)
  • PostgreSql
  • AWS
  • Docker
  • Amazon Elastic Container Services
  • Gitlab CI

Minimum Viable Product (MVP) Development For Startups

Challenge
Initially small and medium Oil Companies have an issue with frequent Well failures. Large amount of unstructured historical data could not be utilised efficiently and decisions regarding repair plan took way too much time. Idea was to decrease mean time between failures dramatically (reduce operating costs) by maximizing value of information available, minimize Non-Productive Time (NPT). To launch and scale this Startup in shortest possible time we needed to build a strong Team, process Customer Development, provide Technical solution as MVP and scalable Cloud Apps.
Approach
In 2 weeks we set up Scrum Team including Product owner, Scrum master, Developers. Simultaneously we made Customer Development steps to define the right business model. It was necessary to choose proper technology stack. From one hand it should enable fast MVP release with possibility of easy pivots, from the other hand support future scalability and new features production. We chose ASP.NET Core, Angular 6 (Clarity/Bootstrap, Plotly), PostgreSql, Amazon Web Services, Gitlab CI.
Solution
We've built Cloud App which 100% fits to Market with reliable Architecture, nice intuitive UI/UX. The core functionality was designed to ensure stable performance during scale-up stages. We explore implementing Machine learning algorithms for predictive analytics and dynamic data processing.
Technologies
  • ASP.NET Core
  • Angular (Clarity/Bootstrap, Plotly)
  • PostgreSql
  • AWS
  • Docker
  • Amazon Elastic Container Services
  • Gitlab CI

Minimum Viable Product (MVP) Development For Startups

Challenge
Initially small and medium Oil Companies have an issue with frequent Well failures. Large amount of unstructured historical data could not be utilised efficiently and decisions regarding repair plan took way too much time. Idea was to decrease mean time between failures dramatically (reduce operating costs) by maximizing value of information available, minimize Non-Productive Time (NPT). To launch and scale this Startup in shortest possible time we needed to build a strong Team, process Customer Development, provide Technical solution as MVP and scalable Cloud Apps.
Approach
In 2 weeks we set up Scrum Team including Product owner, Scrum master, Developers. Simultaneously we made Customer Development steps to define the right business model. It was necessary to choose proper technology stack. From one hand it should enable fast MVP release with possibility of easy pivots, from the other hand support future scalability and new features production. We chose ASP.NET Core, Angular 6 (Clarity/Bootstrap, Plotly), PostgreSql, Amazon Web Services, Gitlab CI.
Solution
We've built Cloud App which 100% fits to Market with reliable Architecture, nice intuitive UI/UX. The core functionality was designed to ensure stable performance during scale-up stages. We explore implementing Machine learning algorithms for predictive analytics and dynamic data processing.
Technologies
  • ASP.NET Core
  • Angular (Clarity/Bootstrap, Plotly)
  • PostgreSql
  • AWS
  • Docker
  • Amazon Elastic Container Services
  • Gitlab CI

Let's discuss your Case!
Let's discuss your Case!
Let's discuss your Case!