Our AI Solutions

We provide services in three main areas:

Our AI Solutions Hero Image

Human Resources

AI consulting services in the HR area.

In today’s fast moving world, AI and machine learning are impacting many areas of our lives, that help us to find information or navigate our environment. We at Cosmos Thrace innovate quick and powerful customized best practice AI solutions specializing in Human Resource and Manufacturing industry.

AI in HR industry is transforming different areas of recruitment by automating and optimizing the recruitment workflow for a better workforce and focus on strategic work. We provide customized solution for virtually every part of your recruitment funnel.

AI solutions can help recruiters in making efficient and unbiased decisions and making the process quicker. Recruiters can reap the benefits of AI by employing ML and problem solving to help find the best candidate(s) for a position.

Mel Gee Kee, <br> Strategy Director CHRO (Chief of Staff) & Global HR4HR Director, Unilever

One of the tricks is how you bring it all together for a good employee experience because each AI solution addresses a specific problem.

Mel Gee Kee,
Strategy Director CHRO (Chief of Staff) & Global HR4HR Director, Unilever

Here are some of the popular AI scenarios in HR and we believe we will see lot more in the future:

Human Resources

AI can help formulate clear, descriptive job descriptions to improve the quality of your applicant. AI can automate tedious manual tasks so that you can focus on the strategic goals. An optimized recruitment process is beneficial to bring the right applicants on board. Artificial Intelligence collect data and display it in such a way that it is insightful to you. Although infusing your recruitment process with AI comes with additional costs, it creates a more effective hiring funnel as a result and thus will definitely have a positive impact on long-term RO.

Here are some considerations:

  • Augmented writing
  • Searching for passive candidates
  • Selection and assessment
  • Look where you fit as a candidate
  • AI driven employee historical data
  • Model talent pipeline
  • Predict high-performing recruits
  • Filter and track candidates
  • Source best-fit candidates through resume analysis
  • Support applicant interactions through chatbots

Here are some of the challenges:

  • Large number of received CVs
  • Different format of the CVs
  • Unconscious bias (gender, ethnicity, name spelling, university) when screening CVs
  • Identify/Create a success profile for a position in an organisation
  • People’s privacy
  • Guarantee honesty and equality


Manufacturing robotic arm

70% of companies are sure that IoT implementation can reduce costs and improve products.


Manufacturers are relying more and more on embedded intelligence (using AI, internet of things and blockchain applications) to automate processes and speed up execution times by up to 25 percent. AI-powered machines are performing better than just the machine as business trend is constantly changing. Businesses are mass-producing products that are not only personalized but also fulfilling the demand of customizing nearly instantly and quality stays of the utmost importance. Production is becoming more localised and people involved in manufacturing will have different roles.

AI - designers or engineers enter their ultimate design goal into generative design software, complete with cost constraints, preferred materials and methods. The software then takes the original idea and explores different solutions to make it a reality on the spot. As manufacturers move from B2B to B2B2C, manufacturing as a service is having a significant impact on R&D, innovation, and prototyping.

AI can detect and avoid issues that may cause delays. The industrial unit can increase the production quality and rip the benefits from raw stuff, and manufactured components. It enables the managers to better allocate the resources, improve worker skilfulness and make the working environment safe.

Intelligent manufacturing is a constantly evolving concept, which can be summarized into three basic paradigms: digital manufacturing (1st generation intelligent manufacturing), digital-networked manufacturing (2nd generation), and new-generation intelligent manufacturing (Zhou et al., 2018).

IoT can immensely help in areas as Product development, supply chain management, Predictive Repairing, Remote Production Control, Asset tracking, Logistics management & Digital Twins:


  • IoT Sensor generated data

    Sensors enabling vibration, sonic, and ultrasonic analysis

  • Quality 4.0

    It involves the use of AI algorithms to notify manufacturing teams of emerging production faults that are likely to cause product quality issues.

  • Analytics & monitoring tools help clean and analyse that data
  • Scheduling tools coordinate teams in the field guiding them to carry out maintenance activities
Man walking uphill

Our solutions can be easily scaled up or down, in line with your organization’s specific requirements and future needs. We build solutions that work the way your work.

We at Cosmos Thrace believe in continues improvement, reusing components/integrations and follow the industry best practice configuration to improve your business services/processes to increase efficiency, and reduce costs.