FlowFit Integrates DeepL

We are delighted to announce the newest integration added to the list of supported language technology solutions. Starting from today, all users will be able to use the powerful features of DeepL directly from within their FlowFit interface.

This leading language AI technology has been present in FlowFit before, but only through a TMS integrated within FlowFit. The newest product update introduces a direct integration, embedding DeepL capabilities straight into the TBMS interface making it faster, more reliable and secure.

“Following the requests of our clients coming across the board from the finance domain, through gaming and entertainment, heavy machinery or the pharma industry – we have decided to develop this integration as our commitment to continuously make their work easier and more efficient” said Jean-François Mur, Consoltec’s President and CEO.

FlowFit integrates DeepL seamlessly into its project management workflows, offering a streamlined solution for incorporating machine translation (MT). Here’s a more detailed look at how it works:

1. Virtual Coordinator Selection:

FlowFit’s virtual coordinator plays a pivotal role in optimizing workflows by automatically selecting the best translation workflow for each project. It takes into account factors such as the text type, number of words, and project complexity. Based on these criteria, the virtual coordinator can determine whether DeepL is an appropriate tool to use at certain stages of the project. This ensures that projects requiring simple translations can benefit from machine translation while more complex texts may follow a different workflow.

2. Custom Workflow Options:

With the virtual coordinator, project managers can easily define custom workflows that incorporate DeepL at the right stages. For example, straightforward content with a high word count may be pre-translated by DeepL, while specialized or sensitive content may go through human translators. This automated decision-making ensures that every project uses the most efficient resources.

3. Availability in the Client Portal:

DeepL is directly accessible within the FlowFit client portal, allowing companies to provide immediate translation options to their requesters. This means clients or external requesters can submit documents and have them translated by DeepL directly within the platform, ensuring faster turnaround times and improving the overall user experience. Companies can now better serve their clients by offering on-demand machine translation for specific needs without waiting for human intervention.

4. Integrated Translation and Post-Editing:

The DeepL integration supports the ability to pre-translate text automatically and flag it for post-editing by human translators, should the quality level require additional review. The virtual coordinator can suggest the best combination of MT and human intervention based on text type and quality expectations.

5. Efficient Resource Management:

Using the virtual coordinator and DeepL together allows for better resource allocation. By automatically selecting MT where it’s most appropriate, teams can focus human translators on more complex tasks, reducing workload and improving overall project turnaround.

6. Cost Control and Reporting:

FlowFit tracks DeepL usage and provides detailed reports, helping companies manage costs related to machine translation. This is particularly useful for organizations that want to monitor their MT expenses and ensure it aligns with project budgets.

In summary, this integration between DeepL and FlowFit not only increases productivity but also allows for a highly customized and flexible approach to translation project management. With the virtual coordinator’s intelligent workflow selection and DeepL’s availability in the client portal, companies can deliver fast and reliable translations, improving service to requesters and optimizing internal processes.

FlowFit’s integration with DeepL is available immediately for all users. For more information on this new feature or to request a demo, please visit contact us.