The Silicon Review
Customers are tired of generic messaging. Motiva AI uses cutting-edge machine learning to automatically adapt marketing campaigns and engage the customers. It helps companies deliver the best possible campaign – every time. Motiva AI gives a marketing team superpowers. It adapts your email marketing strategy to customers automatically and deliver better engagement, at any scale. It also improves the audience engagement rates by 10-40% or more.
Founded in 2016, Motiva AI powers a new kind of customer-centric engagement for modern marketers everywhere. Motiva uses AI to create adaptive marketing automation, giving marketing teams better performing campaigns – automatically.
Motiva’s mission is to bring people together through conversation. Whether B2B or B2C communications, Motiva AI supports the creation of personalized customer experiences that lead to results. The company combines deep experience in artificial intelligence, analytics, and large scale data mining together with beautiful design to create a new class of product for marketing and customer engagement.
Motiva's custom, proprietary machine learning platform sets a new standard of performance in AI. Motiva uses cutting-edge machine learning to automatically tune marketing campaigns to audiences, finding new, engaged audience populations. By listening carefully to – and learning from – customer behavior, Motiva helps marketing teams achieve more with less, and makes the entire marketing operation more effective.
Solving Healthcare Problems
Patient engagement is vital to healthcare outcomes across the board. And patients desperately want better care and an experience that feels tailored and personal. But our experiences as patients don’t feel like this. The result? Disengaged, misinformed, and frustrated patients. Failed trials. Overworked staff. Missing patient data. And under-performing, expensive care.
There’s a better way. One that combines the human touch with scale one can only achieve through adaptive machine learning. This applies whether it’s a healthcare provider, an insurance company, or a contract research organization. Motiva AI is scaling empathy.
From driving personalized recruitment messaging for trials and preventing churn to adherence campaigns to complex, tailored behavioral health programming, Motiva AI is the next evolution in Patient Experience. PX engages patients and frees up patient-facing staff to improve health outcomes at lower cost.
The core of Motiva PX is listening to and learning from patients in order to give them the support they need. Engagement in the service of health is its goal. From recruitment campaigns to ongoing personalized behavioral programming, to tailored reminders, Motiva PX finds what works for patients and adapts the patient outreach strategy to them.
Motiva PX can take on all digital communications with patients. An organization’s messaging and other content can help PX adapt it for patients as it learns. Organizations can always retain full control. Sample use cases:
Motiva PX is more than simply an intelligent patient communications interface. It’s a new service delivery channel and data collection capability that can drive better outcomes. From implicit behavioral response data, to explicit results from surveys, to optionally connected device data, Motiva PX opens a new chapter in not only how we communicate with patients, but how we understand and adapt to their needs in a truly personal way.
Built on modern API-based cloud architecture, Motiva PX can support integrating with leading patient records and clinical trials management systems. Motiva AI goes beyond the best practices and current legal requirements to ensure that it is protecting the data all along the way – from GDPR to GxP to HIPAA / HITECH and beyond. It is also engaged with the Data Guild in developing new methods of guaranteeing data protections and personal privacy.
David Gutelius, CEO
A serial entrepreneur, Dave was Chief Social Scientist at Jive Software (JIVE) and CEO of Proximal Labs, a machine learning startup that personalized information in enterprise social networks. Prior to Proximal, and was co-founder and CTO at Social Kinetics, an AI spin-out from SRI International. Previously he was a member of SRI’s storied Artificial Intelligence Center, Product Manager for the largest machine learning project in the U.S. Government’s history (DARPA’s PAL program). He co-founded The Data Guild and is an active early stage investor and an advisor to GE Ventures, Accenture Technology Labs, and the World Economic Forum. He taught at Stanford University, and holds a PhD in Economic History from Johns Hopkins University.