LabTwin, provider of an AI-powered digital lab assistant, recently announced that a new open API will enhance their offering by providing deeper integration and streamlined communication. These upgrades aim to reduce data fragmentation that is caused by information being spread across different tools and platforms.
With scientists employing myriad tools and platforms in their research workflows, data fragmentation can become a serious problem. Information processed on one device often stays siloed, requiring time-intensive aggregation of data sets. Not only is this process time-intensive, but it is also error-prone, leading to poorly utilized data. LabTwin hopes that this new API will provide researchers with the tools necessary to better engage with this information. Jonas Kulessa, Head of Engineering at LabTwin, stated that:
“LabTwin’s open API is a big step towards creating the integrated lab of the future. Digital labs will have an effortless flow of information using tools like LabTwin’s digital assistant, which gives scientists easy access to information no matter where they are working.”
Along with the benefits of connecting scientists with data sources both inside and outside of the lab, LabTwin also understands the inherent risk that must be mitigated when exposing potentially sensitive/proprietary information. The company has made a concerted effort to ensure that researchers can trust that the data they collect is not vulnerable to the kind of leaks that have plagued so many tech companies. LabTwin outlined for ProgrammableWeb various security measures taken in this pursuit:
- User authentication is required for using all API endpoints (We can therefore scan for malicious behavior on a user level and take action if necessary.)
- All communication to the API is encrypted and we are enforcing strong encryption standards (This makes sure that badly configured browsers cannot initiate unsecure connections)
- We are running regular penetration tests on all REST API endpoints (the most recent ran 2 weeks ago)
- All tests are happening on staging environments with no user data involved. Access to production data is strictly limited to required personal and access is logged.
- We operate a 3-tier system architecture that encases PII and user content (like the users notes) in the most inner layer with the highest restrictions and strips away critical information before transferring to the outer layers (like the CRM)
In addition to upgraded security and deeper integration, LabTwin also announced that its voice assistant will now be able to talk back to users. This will allow the digital assistant to not only guide scientists through protocols but also provide recommendations and on-demand scientific information. Interested developers can visit the company’s Get Started page to sign up.