Introducing
The vision of Globus.ai is to improve quality of life by empowering people to reach their full potential. I remember a time when my son was three years old and we visited a hardware store. He was wandering around looking at things and I was paying at the cash register. There was an automatic lawn mower demoed and when I turned around my son was on the floor with his hand outstretched towards the mower. The mower turned and drove over this hand and cut three of his fingers almost off. He was rushed to the hospital for emergency surgery. Luckily, he made a full recovery and can now move his fingers. This was possible because one of the best plastic surgeons in the country was on duty that day to operate on my son. This really stuck with me. At the time we needed it, the best person for the job was there to care for my son. I wanted to use my experience with technology and AI to make sure the right person is in the right place when needed.Me and my co-founders recognized that there was a great potential to improve the deployment process in healthcare staffing agencies. With AI it is possible to remove all the manual steps and automatically assign candidates to the right assignment.
My previous positions provided me with technical and managerial and leadership experience. I love challenges and the transition to the CEO role delivered on this. But I learn something new every day and meet so many interesting people so it is definitely worth it.Can you tell us more about the technology behind Globus.ai?The technology behind Globus.ai is very exciting. We read all incoming assignments automatically using natural language processing. This turns unstructured text into structured data we can feed to the AI. With our Scandinavian AI, we match candidates with assignments in a unique way. Understanding the skills, experience, availability, interests and aspirations of candidates, enables us to provide them with the most suitable assignments. With continuous learning, the system keeps getting better with increased usage. Deployment process automation means that staffing agencies can work faster and place more candidates.What role does AI play in your technology?Globus.ai is an AI-first company. This means that all software components have been developed with the mindset of generating training data to improve the AI. Traditional software companies have a body, AI first companies also have brains.
The data comes from both understanding the customers, candidates, and assignments. With smart algorithms, we process a huge amount of data in order to present the best candidates instantly. This way staffing agencies always get the best candidates for each assignment.How does your company help avoid hiring bias?We ensure equality by matching candidates with unbiased selection criteria. We are continuously monitoring our AI to ensure fair and equal treatment of candidates.
The interface between software development and data science is a big challenge. Not many people have the necessary competence. Ensuring that data is captured in the right way to train AI algorithms needs the right architecture. In the same way, getting machine learning models in production is also a big challenge.
Globus.ai empowers candidates in healthcare staffing agencies with work that aligns with their skills, experience, and interests. It enables staffing agencies to do the deployment of candidates automatically, so staffing coordinators do what they are best at, i.e. talking to consultants, giving personal follow-ups, or engaging with customers. Globus.ai streamlines the deployment process and for the consultants this means more personalized opportunities and assignments.
A great example that immediately springs to mind is the case of the leading healthcare staffing agency in the Nordics – Dedicare. A life-long partner of Globus.ai, we began working together when Dedicate wanted to improve the efficiency of placing healthcare workers across Sweden and Norway.Using Globus.ai, candidates’ experiences and qualifications are automatically validated and the Dedicare team is recommended pre-selected candidates based on these competencies. This drastically cuts the time taken to manually find suitable candidates for a role with up to 90%. Dedicare can respond quickly to incoming orders and utilize their candidate database better which has shown to increase revenues by as much as 30-40%.
Globus.ai is a critical supplier to healthcare staffing agencies, so it was extremely important that our system kept working during the crisis. We make sure the healthcare staff is delivered as fast as possible where it is needed to save lives.
We are always going to need unique human skills, like critical thinking, empathy, and strategic decision-making skills. 72% of business decision-makers expect to see AI used to enable humans to concentrate on more meaningful work. So, instead of replacing human intelligence, AI complements it. For instance, when looking for candidates, an agency can quickly find matches with the use of AI and then have candidates checked by humans. Similarly, predictive analytics can assess the risks around each candidate and predict future skills shortfalls. Allowing organizations to avoid high-risk candidates and proactively resource skills gaps before they impact the day-to-day. With AI, organizations can boost productivity and provide more creative, strategic work for human employees. They will have more time to spend on value-added tasks and growing the business, with AI doing much of the manual, time-consuming, and mundane work.
Credit: Yuliya Sychikova from Data Root Labs.
Yes. Globus.ai can be integrated with existing solutions to ensure the flow of data between all systems. Our implementation team will support you in identifying the best approach.
All required information related to payment and invoicing is posted to you ATS system in the right format for quick auto processing. Information related to trust/customer/department/project, assignment and salary information, including dates and working hours, is registered to your ATS system in the right format for further processing.
Yes. To ensure that all job orders from your customers are seamlessly funnelled into Globus.ai and prepared to be fulfilled.
Yes. We capture orders and job requirements from the largest portals in the Nordics. For other countries, please contact us for a free exploration session, our technical representatives are here to help.
Yes, we capture all relevant information about the assignment(s) from emails and email attachments (spreadsheet, documents, PDFs, and weblinks), and automatically match relevant candidates from your database.
Yes, we are fully GDPR compliant. Protecting your data and keeping it safe is our priority. For more information, please refer to the security measures in our Data Protection and Privacy notice.
Addressing GPT and Data Privacy Concerns
Scope of GDPR with GPT: GDPR primarily governs GPT when personal data is processed.
Our use cases
1. AI-based Email Extraction: limited to extracting information from emails and signatures.
2. Email Enhancement: generalized email drafting for candidates, doesn't involve personal data. Hence, GDPR concerns are minimal here.
Data Safeguards
Private GPT Instance: We utilize a private GPT instance via Microsoft Azure. This ensures:
- Your data is not available to other customers or OpenAI and are not used to improve OpenAI models or Azure OpenAI models - please see MS dedicated webpage.
- Data storage exclusively within our Azure environment - the Azure OpenAI Service is fully controlled by Microsoft; Microsoft hosts the OpenAI models in Microsoft’s Azure environment and the Service does NOT interact with any services operated by OpenAI (e.g. ChatGPT, or the OpenAI API).
A distinct advantage over US services that might use OpenAI indirectly, as we can opt out from storing prompts and completions, ensuring enhanced data privacy.
Signature Data Trimming
We actively remove personal data from email signatures. While not foolproof, it's rare for personal data to be present in the main email content.
Future Considerations
We're exploring the deployment of a self-hosted model (like LLama 2) in a cloud. This guarantees that only we can access and manipulate user-generated prompts and parsed emails, further enhancing data privacy.
