What if multiple sources of assessment data could be instantly and seamlessly combined to guide our decision-making and illustrate our progress? In a meaningful way, every day, and throughout whole systems of care? P-CIS makes it possible.

Person-Centered Intelligence Solution
At Opeeka, our mission is to promote well-being for all. P-CIS tracks responses to interventions over time to identify the true impact of a program, service, practice and intervention. ​

With P-CIS, organizations can monitor their impact in real-time while ensuring fidelity to their model. P-CIS can identify where their efforts are making the most impact, on which specific groups of people. This helps organizations better hone their efforts for higher impact at reduced cost.

The goal of the software is to facilitate the use of assessment data in the decision-making process of person-centered care. P-CIS is ideal for use across systems of care including social welfare, justice systems, behavioral health and school systems

P-CIS Proves and Improves Intervention Impact:

MArk Kerr - Lead Partner The Centre for Outcomes of Care

The Solution for All Programs Wanting to Make an Impact

Allows organizations to maximize program impacts by creating efficiencies from an initial screen to post-program satisfaction surveys. ​
Behavioral Health Assessments
Measurable Benefits:
  • Tell the Story of Who is Thriving in Your Program
  • Connect People with the Most Effective Interventions
  • Match People to Most Compatible Providers
  • Progress People through Program to Meet Goals Faster​
  • Measure and Maximize Anticipated Outcomes​
  • Save Time & Costs through More Efficient Programs

Success Focused Artificial Intelligence

P-CIS employ’s Opeeka’s proprietary Success-Focused Artificial Intelligence (SF-AI) to generate population Insights, providing interpretable results designed to help care workers use their own expertise and knowledge — supplemented by their history of success — to make the best and most appropriate decisions for care. P-CIS returns examples of successful outcomes on which to base future successful decisions, filtering out institutional bias.

Traditional Artificial Intelligence (AI) bases its future predictions on past decisions, institutionalizing poor decisions and reinstating biases. In contrast, SF-AI provides users with information on all of the options which have resulted in successful outcomes for people of similar circumstances, helping care providers to make decisions which are more likely to result in success again and again. Rather than regressing to the mean, P-CIS helps providers regress to the best.

Somewhere, at some time, a person with a certain set of circumstances experienced recovery and resilience. P-CIS capitalizes on examples of success to identify how Helpers and teams can do better. Over time, SF-AI continues to support good decision after good decision, while still considering the full combination of circumstances that a person faces. By regressing an agency toward decisions for optimal well-being, P-CIS promises to help identify and reduce institutionalized bias.


OptiRithms is a smartphone app which promotes well-being by curating personal and biometric data from other smartphone apps and self assessments into a central hub where Artificial Intelligence (AI) models will identify antecedents to improvements or downturns in mood and well-being. OptiRithms learns what behaviors and habits lead to improved well-being and provide users suggestions to optimize the rhythms of their day. OptiRithms is the first software of its kind to merge data from multiple applications both in a clinical and biosensor settings to help consumers see the cumulative collection from all of their mental and physical health applications to get a full 360 degree view of how their biological responses and life experiences contribute to their overall well-being. Learn more at

OptiRithms Well-Being Mobile Application