We do training better

Working with professional trainers worldwide to deliver top level training at the best prices on the market.

Training Solutions

Webinars, in-house training and seminars

  Learn More

International Network of Trainers

International pharma solutions

  Learn More

Training topics portfolio

Take a look at our training topics

  Learn More

Any training, anywhere

Any pharma training solution, delivered globally by the best trainers in the industry

About Us

Astra Nova Ltd is a UK-based training company dedicated to providing training solutions within the Pharmaceutical and Clinical Research industries. Our goal is to establish the biggest international network of trainers, which would allow companies worldwide access to an infinite number of topics to train their staff in. The diversity of topics we cover and our reach internationally makes us a convenient partner for all types of organisations worldwide.

Training Solutions

Our customer’s comfort is our top priority. This is why we offer maximum flexibility with all of our training solutions. Through our international network of trainers, we can organize training on any pharma topic, anywhere in the world: we are able to provide them as in-house training solutions, webinars, or even organize seminars. Please take a look at the“Training Solutions” section for a full outline of our services.

Custom Solutions

We appreciate the fact that every customer is unique and deserves an individual approach. In addition to the off-the-shelf solutions we offer, we can tailor any training topic to our customers’ specific needs. We can prepare a tailor-made training solution on any pharma topic and deliver it anywhere around the world as in-house solution, webinar or seminar.


Internet technologies of today have made distant learning a great alternative to conventional training solutions. All of the training topics in our portfolio can be delivered as webinars. Audio and video connection with the trainer and access to training materials online ensure maximum results at minimum cost.