Emotion Triggers and Projection Patterns
to the level of an Indvidual
from multimodal communications and actions
(voice, video, image, text, sensors)
automaticlly enriches comprehension with web, private data
Hyperbolic Manifold Machine Learning + A.I.
Reveals subtle autonomic and physiological signals in the World normally unobservable by humans.
What we say and what we do aren’t always black and white. With emotions and true fact-checked context we infer true human insights.
Advanced Machine Learning from communications and actions discovers divergent thinking: unknown to predictive emotion triggers and projection patterns to the level of an Individual.
Benchmark internally and externally emotion signal and projection patterns to quantify initiative impact, identify experiences for improvement, and continuously improve towards best-of-class human-to-human engagement.
Identify Individual’s and Like-Kind’s triggers during different contextual situations and emotional states. Our like-kind benchmarking enables awesome customer experiences to the level of an Individual.
Matches people based on both similarities and differences and strengthens connections through natural communications and science-backed projection patterns.
Optimize employee daily activities by objectively understanding emotion triggers in relation to roles, projects, culture, customers all through team’s digital communications, so there is no invasiveness.
Objectively understands and organizes the deluge of big, fast, nano-data from communications and actions.
Automatically enriches comprehension with web, enterprise fact-checking data and emotion signals.
Provides data-driven guided learning where sciences are young and/or general.
Emotion signals and projection patterns at the level of an Individual based on their true life.
Breakthrough heterogeneous and sporadic communication boundaries faced by traditional AI approaches - efficient, cost-effective, and can scale to everybody in the world.
Pathway to understanding divergent thinking: unknown to predictive trigger points.
Unique people with different expertise, personalities, and emotions connected by 1 common goal - Quantified happier humanity.
Nathaniel Thurston is building our technology on 20 years of proof and inquiry. He worked with David Gabai and Robert Myerhoff, now math chairs at Princeton and Boston College, to create the first proof of hyperbolic geometry. This 3D math combined with Nathaniel’s expertise in machine learning and artificial intelligence is the key to truly understanding people and emotions in decision making.
Nathaniel and Greg were united by this vision. Nathaniel left the exploitative academic and corporate worlds, so he could build his technology to improve people and their relationships with the world around them. Building off his work creating Customer Relationship Management (CRM), Greg sought to further transform the customer-business relationship, using emotional understandings to turn transactions into experiences and relationships.
They and a growing team of people connected by this 1 vision, are working together to develop ipvive’s embedded human insights cloud services to help others do the same - capture the always illusive emotional chemistry that connects us to and deepens relationships with the world around us.