Our purpose is to combine the science of behavioral psychology and the power of advanced machine learning to drive actions and change behavior for the betterment of all people.
We use a broad array of data and advanced reinforcement machine learning to identify the behavioral engagement attributes of individuals within large sets of the client’s customer base. Lirio defines a behavior change objective for an individual contact, engages them in actions and habits to achieve that objective, and then measures success by the achievement of the predefined objective.
The Lirio system learns and improves engagement by collecting and processing specific behavioral science engagement data through proprietary machine learning, creating a continuous learning environment about each customer and their journey toward client objectives.
We believe the right message to the right person at the right time can change the world.
Our team includes top minds in behavioral science, machine learning, data science, software development, healthcare, energy, product, and beyond.
Lirio starts with a belief that when great people set out to do great work, the opportunities are endless. The following core values are in practice every day throughout the organization:
Cutting through the noise and mediocrity of the world, we hold ourselves accountable to always do the right thing.
Our success depends on the teamwork of our employees. Despite ups and downs, we win together.
We don’t settle for the status quo. We approach things differently and ask questions that lead to innovation and improvement.
We are young, hungry, and agile. As change happens, we adapt without lamenting “what ifs” and bygones. Creative, out-of-the-box thinking is encouraged and rewarded.
Play is an important part of our culture, but political games, entitlement, and division of the team are just not us. We respect diversity in thought, debate, and dialogue.
We deliver excellence by never stopping short, always actively responding to our clients’ needs, and never letting up until the job is done.