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References, industry experience, number of employees, types of contract, prices, etc. Search for the most suitable IT service provider for your project in the following areas of expertise:

Three ways to identify the right IT service provider for your needs. Free of charge & without obligation.

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Search the +20,000 talented IT service providers in our database and work with those who fit your exact requirements.

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Based on concrete requirements for the IT service you need, you will receive a prioritised list of suitable candidates - completely free of charge.

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Find out regularly which exciting IT projects are being carried out in your industry, in your specialist area or in your field of interest.

Why Lyncronize?

With us you are always well informed. What are the current hourly rates? And how do your preferred suppliers compare to the market? Thanks to our market and price analytics, you are well prepared for the next round of negotiations. More than 50 skill areas provide you with a comprehensive overview of the market, enriched with your own data if desired. This gives you a detailed benchmarking of your IT expenditure.
With us you can publish your project anonymously in less than 5 minutes, compare offers and select the most suitable company with the help of our "Check24 overview".
You are guaranteed to get the best comparison of IT service providers that fit you exactly. And that on the basis of more than 50 data points. These include IT skills, references, industry experience, number of employees, hourly rates and much more.

Why Lyncronize is the right choice:

We have the best service provider data.

We have more than 50 data points that we make available to you. Both for IT service providers and for individuals (not only freelancers but also employees) to help you with your project. 

This includes IT skills, references, industry experience, number of employees, hourly rates and much more. Finding the right support for your projects has never been easier.

Why Lyncronize is perfect for you:

We have data on hourly rates, skills etc. for more than 50 skill areas.

What are the current hourly rates? And how do the preferred suppliers compare to the market? Be well prepared for the next round of negotiations thanks to our market and price analytics.

More than 50 skill areas provide a comprehensive market overview, if desired also enriched with own data - for a detailed benchmarking of the IT spend.

Why Lyncronize is the right choice:

You can obtain and compare offers anonymously.

In less than 5 minutes, you can anonymously publish a project to more than 20,000 IT service providers and compare or select the most suitable offers. The result: a "Check24" comparison of all suitable candidates.

Sourcing the IT market has never been easier.

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ARTIFICIAL INTELLIGENCE - RESEARCH PROJECT

The first smart assistant for assembling IT teams

Lyncronize develops a digital assistant based on Artificial Intelligence (AI) and Machine Learning to assemble IT teams based on skill predictions and past experience.

Project funding

Lyncronize GmbH receives funding from the ProFIT programme of Investitionsbank Berlin. The plan is to develop a new digital tool for putting together competence teams for tasks in the field of digitalisation. The market has so far been dominated by consultants who generate "matches" via relational keyword matches and evaluate them individually. Given the breadth of skills required and the rapidly changing world of work, this is too imprecise and so cost-intensive that the acquisition of personnel often represents an economic barrier to the implementation of a project.

A novel, digital approach is to lead to better matching results with the help of artificial intelligence. For this purpose, three different data models are to be developed and taken into account in the matching process:

A user model that takes individual characteristics and preferences into account.
A skill model that recognises and contextually links terms via an ontological database.
A market model that captures current trends and correlations, e.g. of skills to hourly rates.
This approach, which is more comprehensive than pure keyword matching, is intended to improve "matching" when finding suitable projects and candidates as well as when putting together entire teams. However, the integration of personal characteristics and preferences also requires special consideration in terms of data protection. This approach is to be accompanied by the prediction of trends in competence profiles, which can be derived from job advertisements, for example.

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