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Our
process

What we do

  • Advisory in machine learning and its relevance in the business.
  • Training to implement machine learning solutions.
  • Design of a machine learning model to solve the established problem.
  • Implementation and integration of a machine learning solution that solve the established problem.
  • Deployment and monitoring of the solution implemented.
  • Revision of the benefits obtained and implementation of a continuous improvement plan.

What we get

  • Reduce costs of the production and business processes affected.
  • Discover new opportunities of business previously hidden in the data.
  • Reduce risk associated with the implementation of machine learning solution.

01

Advisory and consulting

Team

  • Business analyst
  • Solution architect
  • Software architect
  • Technical researcher
  • Project manager

Activities

  • Business goals understanding
  • Technincal consulting
  • Research state of the art
  • Project scoping
  • Solution design

Deliverables

  • NDA
  • Use cases
  • Project plan and scope
  • PoC proposal
  • Training
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02

Data analysis and discovery

Team

  • Data miner / scientist
  • Client database admin
  • Client subject matter expert

Activities

  • Collect initial data
  • Establish data appropriateness
  • Clean, integrate and format data
  • Model prototyping

Deliverables

  • Data structure
  • Data preparation report
  • Initial baseline report
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03

Solution research

Team

  • Data miner / scientist
  • Business analyst
  • Project manager

Activities

  • Model building
  • Model evaluation
  • Model iteration
  • Establish further steps

Deliverables

  • Minimum viable product
  • Model source code
  • Model progress report
  • Model structure report
  • Suggestion for future actions
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04

Integration

Team

  • Software architect
  • Solutions specialist
  • Data miner / scientist
  • Developers
  • UX lead
  • Project manager

Activities

  • Integrate with data sources
  • Downstram integration
  • Code packaging
  • UI development
  • Testing

Deliverables

  • Integration plan
  • Flow diagram
  • Database schema
  • Source code
  • Builds
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05

Deployment

Team

  • DevOps
  • Delivery manager
  • Cloud engineer
  • Project manager

Activities

  • Provisioning (AWS, Gcloud, Az)
  • Rollout planning
  • Prepare ongoing maintenance
  • Deploy solution

Deliverables

  • Rollout execution
  • Report on deploy analysis
  • Report on future steps
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06

Maintenance and updates

Team

  • Technical support
  • Developers
  • Release manager
  • DevOps
  • Cloud engineer
  • Project manager

Activities

  • Monitor performance
  • Manage system configuration
  • Manage system capacity
  • Manage system availability
  • Manage updates
  • Manage security
  • Requirement gathering
  • Backlog priorization

Deliverables

  • Bug fixes
  • New feature scope
  • Ticket response
  • Upgrades to system
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Talk to us

Get in touch with the team to see how we can help you.






    01

    Advisory and consulting.

    Every project needs clearly defined goals and direction. This initial advisory and consulting phase helps us to determine whether or not an artificial intelligence-based software solution is right for you. We will also develop an understanding of your situation and discuss the available technological solutions available to you.

    What is involved?

    In this phase, we generally aim to assess your organization’s current situation, along with any challenges you are facing and points for improvement. We work with you to define the key criteria that our solutions must meet, and evaluate the available data.
    The core purpose of this phase is to gain an understanding of the ways that AI and machine learning can have a positive impact on your business and help to achieve your specific goals.
    To achieve these goals, we deploy a specialized team including business analysts, solution architects, software architects, data miners, data scientists, technical researchers, and a project manager.

    What will you gain?

    Armed with the relevant information, communicated in an accessible way by our experienced consultant, you will become better equipped to make your own informed decisions.
    For some clients, the advisory and consultancy phase may be helpful as a standalone service to improve comprehension of their situation and potential solutions. Alternatively, it can act as the springboard to a complete technological transformation. We always aim to build long-lasting, productive relationships with clients, and this is the first step of that journey.

    Specific deliverables

    • An NDA to protect your privacy
    • Defined use cases to illustrate the applications of our proposed solutions
    • A defined project plan and scope
    • A proposal for a Proof of Concept to demonstrate the feasibility of the project
    • Training from our expert consultants

    02

    Data analysis and discovery.

    The research and design phase is where our solution begins to come together. In this phase of the project, we will analyze key aspects of our proposed approach, then produce a thorough report of our findings and test prototypes of the software.

    What is involved?

    We will usually begin this stage of the project by building a basic prototype with no graphic interface, then collect various metrics and analyze the data to assess the feasibility of the approach. This will help us to validate whether the proposed AI technology will be able to solve the defined challenges.

    We will then produce a thorough report on the technologies that have been tested, the results of the analysis, the expected costs and timeframes, and an outline of the next steps.

    The personnel involved in this phase requires expertise in data mining, data science, and database administration, in addition to client subject matter experts.

    What will you gain?

    The data analysis & discovery phase enables you to remain completely engaged with the design process. Our open and pragmatic process helps you to make well-informed decisions about the level of ongoing investment you wish to commit.

    Specific deliverables

    • Analytical report and insights into the future of the project
    • Step-by-step updates and correspondence
    • Prototype software and testing

    03

    Solution research

    Creating an artificial intelligence or machine learning solution is a complex process. A crucial part of the journey is research and testing, so in this phase our team will build and test a more advanced prototype for further assessment.

    What is involved?

    Following the data analysis phase and initial testing, we will provide a minimal functional prototype by applying what we’ve learned from the feasibility test. This prototype will be given full computational resources and will produce a far more accurate picture of the effectiveness of the completed product. However, it will not be entirely integrated into the organizational workflow, will lack a complete graphical interface, and will not be integrated with every aspect of your computer system.

    The minimal functional prototype is a way of establishing a basic idea of the costs and resources involved in the final product and acts as a highly reliable indicator of how well our solution will solve your defined business challenges. Beyond this, it helps us to refine the process, discover any areas that may have been overlooked in the planning phase, and deliver tangible results to you on a continuing basis.

    What will you gain?

    The solution research phase provides an accurate preliminary picture of the solution’s functionality and an overall better understanding of what you can expect from the final product.

    Specific deliverables

    • A minimal functional prototype
    • Testing of the prototype
    • Solution design
    • Detailed project plan and scope

    04

    Integration

    The implementation and integration phase is where we fine-tune the product to prepare for deployment. To do this, we use the lessons we have learned from the previous prototypes and data analysis, along with client feedback, to create the final software product.

    What is involved?

    Prior to this phase, our prototypes will have been tested in a limited setting, without complete integration to your data systems. This stage will involve comprehensive integration with your existing software and data sources to give the solution proper functionality. In addition, our software architects and designers will create an efficient user interface to enable simple operation and navigation of the software.

    Once the product has been built, we will undertake more rounds of thorough testing to identify and correct any bugs, then finalize the software ready for deployment.

    To complete this phase, we are able to provide a team comprised of software architects, solutions specialists, data scientists, developers, and UX/UI specialists, as required. We will also assign a project manager to coordinate every member of our team assigned to your project.

    What will you gain?

    At the end of this stage, you will have a finalized software product, tested and ready to deploy on a large scale.

    Specific deliverables

    • A finalized software solution including source code
    • Comprehensive user testing
    • Total integration with your existing software and data systems

    05

    Deployment

    Once the final product has been completed, tested, and integrated into existing systems, we can fully deploy it for use. We’ll be there every step of the way to ensure smooth deployment and to guarantee that you get total functionality right away.

    What is involved?

    Our team, including a dedicated delivery manager, will oversee the deployment process. We want you to get optimal results from your new AI solution as quickly as possible, so we do everything we can to enable full functionality immediately. We can also provide comprehensive training for your workforce on how to operate the product.

    We will begin with detailed deployment planning to prepare for a seamless rollout, and follow up deployment with a plan for ongoing maintenance.

    What will you gain?

    This stage of development will result in your organization having ownership and use of an optimally functional AI solution.

    Specific deliverables

    • Fully deployed custom-built software solution
    • A deployment analysis report
    • Planning for the next steps

    06

    Maintenance and updates

    Our service does not end at deployment. Situations change, and you need to be sure that your artificial intelligence or machine learning software will continue to perform at the highest standards.

    What is involved?

    Post-deployment, we will monitor the software carefully, assessing key areas such as performance, security, system availability, and more. We can remain available on an ongoing basis to continue monitoring and react to any issues or requests accordingly.

    Beyond the initial deployment and monitoring phase, we will be available to build, deploy, and monitor updates to the software. In the longer term, we can renew and install new features upon request. This all-encompassing service ensures that your software solution will remain relevant, secure, and functional for as long as you need it.

    What will you gain?

    Our team will monitor your new software, identifying and correcting any bugs as well as responding to any queries. Beyond this, we will provide ongoing monitoring and renewal to keep everything working at peak performance.

    Specific deliverables

    • Ongoing monitoring and maintenance
    • Regular renewals to keep the software secure and up to date