[clockwork_189]

MetricWire (https://metricwire.com/).

We are building a platform that enhances the workflow of clinical trials thus making it easier, faster and cheaper on drug companies and safer for the participants involved. We help the researchers using the data collected from the trial to adapt the future stages of the trial thus helping avoid serious adverse effects or making them known to researchers in real time if they are occurring at present.

[politegoose]

can you expand on the technical r&d involved? Sounds like a pretty normal user interface & data sharing problem.

[clockwork_189]

In a way it is. So basically our platform allows users to create studies and structure the entire workflow of a trial(in a lot of these they are multi-staged so there are multiple steps that need to be designed). Now after this done, they can follow this workflow on our platform when they are conducting their trial in house. Now for parts where a doctor/researcher is not present(like drug/medication/treatment application), we have a mobile and web app that lets users answer questions/file serious adverse events if they face any, etc.

Now here is the cool part, the above is just the surface. Our team is really passionate about data science, machine learning and artificial intelligence and its applications in real world. So we do something called adaptive clinical trials where we run analytical models on the data that comes in and can forecast when the trajectory of a trial needs to be altered. This means you can catch any serious reactions to drugs, faster.

All in all, to answer the main question, our solution helps keep the costs of clinical trials low and reduces error rate. Being able to run these trials fast and keeping the costs low, allows not only for drugs to get out to the market faster, but also helps reduce the costs of drugs(due to the reduction of costs to process).

I also only explained the application of our tech in clinical trials, but our software is so flexible that it can be applied to any industry such as Consumer Insights, Depression analysis studies, etc.

Not sure if I adequately answered your question.