Having used the platform, this reviewer appreciates how it combines AI and innovation to enhance research efficiency. They would like to see improvements in user experience for newcomers, including clearer onboarding and better navigation.
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What I like best about Lila Sciences is how much it simplifies the research and analysis stage of technical projects. I work with Python and have built projects such as real time object recognition and data analysis workflows, so I appreciate having a tool that can help me explore a research question and work through information before moving into implementation. The AI is particularly useful for narrowing down relevant information and exploring different directions without having to manually organize everything from scratch. I also find the workflow fairly easy to follow, and the performance is good for the type of research tasks I use it for. From an ROI perspective, the biggest benefit is the time saved during the early research stages. I would also like to see broader integrations with technical tools and existing workflows as the platform develops. Review collected by and hosted on G2.com.
The main thing I would improve is the learning curve around some of the more advanced capabilities. I am comfortable working with Python, data analysis, and AI projects, but it can still take some time to understand the best way to use the platform for a particular research task. I would also like to see more integrations with technical tools and existing workflows, especially for users who move between research and implementation. More practical examples, clearer onboarding, and better guidance around advanced features would make it easier to get consistent value from the platform. Review collected by and hosted on G2.com.
What I like best about Lila Sciences is they are using AI in very unique way for scientific research. I like how it can help make experiments more faster and reduce the time for finding new solutions. It is also interesting how AI and laboratory work is combined together. Review collected by and hosted on G2.com.
One thing I dislike about Lila Sciences is that some features can be little difficult to understand in the beginning. Also, the technology is still developing, so sometimes the process may take more time than expected. Review collected by and hosted on G2.com.
The best part is that if you are looking for any drug targeted molecule, it will be an easy platform and results from various experiments are actually supported by the back end system and hypothesis. It also offers to some extent the customer collaborative and oriented discovery engagements. Review collected by and hosted on G2.com.
What I have seen is it is still unable to validate the scale-up gaps, data security and export control diligence. Review collected by and hosted on G2.com.
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