+1 (510) 502-5950 greg@ipvive.com

Learn IRIE©

The Ipvive Relational Intelligence Engine
Understanding Complexity in an Uncertain Future

“Experience has shown repeatedly that a mathematical theory with a rich internal structure generally turns out to have significant implications for the understanding of the real world, often in ways no one could have envisioned before the theory was developed.”

– William Thurston

IRIE© is finely tuned to resonate with complex adaptive systems

IRIE© leverages the local precision of low-dimensional hyperbolic geometry rather than inheriting the global bias of high-dimensional Euclidean geometry

IRIE© learns like a Superhuman

IRIE© features a revolutionary interlocking “slow cycle” and “fast cycle” architecture that sees order in chaos from different perspectives. The slow cycle “verifies” while the fast cycle “discovers”. 

Ultra-Personalized Nudge

IRIE© uses hyperbolic lenses to interpret the world from a manifold of personalized perspectives. It more accurately quantifies biases (the distances between an objective event and its subjective interpretation from a given lens) at every level of interaction as well as identifying the specific differences between individual biases.

IRIE© then augments each optimal point with a personalized nudge to transform current state-to-goal.

 

Hyperbolic Lensing

IRIE© uses hyperbolic lenses to interpret the world from a manifold of personalized perspectives.

Bias Quantification

IRIE© accurately quantifies biases at every level of interaction as well as identifying the specific differences between individual biases.

Graph Sparsification

IRIE identifies local neighborhoods of the global knowledge graph in order to personalize decisions toward a shared, optimized goal.

Super Sensing

Even the best of us can’t notice everything. The superhuman perception of IRIE© detects subtle changes in bio-physiological signals hidden in sensor data. IRIE© interprets both light and dark signals from multiple sensors in diverse modalities to understand objectively what triggers the thinking and feeling of individuals in the complex adaptive world around them.

 

Signal from Noise

IRIE© leverages the superhuman perception and extra tools of hyperbolic geometry to provide a shared objective judgement for which the genuine signal is at least partially reproducible, not just local random noise that is different from one perception of the signal to the next.

Dark Signal Interpretation

IRIE© interprets both light and dark signals from multiple sensors in diverse modalities.

User-Specific Autocorrection

IRIE© improves the accuracy of user perception in the presence of noisy signals.

Hyperbolic lens machine learning

Super Judgement

A valid yet adaptive global perspective is most reliably constructed from a comprehensive network of active local views, just as a global manifold is coherently constructed from its local charts. The increased accuracy and dynamic adaptability of individual views uniquely derived through this sort of locally constructed global reasoning are principal benefits of IRIE©.

Local-to-Global Reasoning

IRIE© constructs a valid yet adaptive global perspective from a comprehensive network of active local views, just as a global manifold is coherently constructed from its local charts.

Tuned Complex Adaptive System Resonance

IRIE© is finely tuned to resonate with complex adaptive systems (by leveraging the local precision of low-dimensional hyperbolic geometry rather than inheriting the global bias of high-dimensional Euclidean geometry).

Multiple Loop Learning

IRIE© facilitates both feedback and feedforward learning under multiple iterations to synchronize emergent order from chaos.

Hyperbolic lens machine learning

Super Verification

A valid yet adaptive global perspective is most reliably constructed from a comprehensive network of active local views, just as a global manifold is coherently constructed from its local charts. The increased accuracy and dynamic adaptability of individual views uniquely derived through this sort of locally constructed global reasoning are principal benefits of IRIE©.

Complex Adaptive Path towards Goal

IRIE© constructs a valid yet adaptive global perspective from a comprehensive network of active local views, just as a global manifold is coherently constructed from its local charts. Different people have different perspectives; the most efficient path isn’t the best fit relational intelligence commonly.

Tuned Relational Intelligence over the Set of Perspectives

IRIE© is finely tuned to resonate with complex adaptive systems by leveraging the local precision of low-dimensional hyperbolic geometry rather than inheriting the global bias of high-dimensional Euclidean geometry.

Multiple Loop Verification

IRIE© facilitates both feedback and feedforward learning under multiple iterations to synchronize emergent order from chaos.

Hyperbolic lens machine learning

Guided Learning

IRIE© verifies like a Superhuman. It continuously verifies what is locally constructed with respect to an adaptive global perspective. Where and when a signal that is divergent from a common pattern triggers a novel pattern from either

1) Tops-Down | Divergent Ideas & Innovations; and/or

2) Bottoms-Up | Divergent (and often dark signal) Phenomena
relative to the universe, IRIE© engages the right kind of perspective to co-create capital.

Evidenced Based | Dark Signal Interpretation

IRIE© interprets both light and dark signals from multiple sensors in diverse modalities.

Tops-Down | Divergent Ideas & Innovations

IRIE© is finely tuned to resonate with complex adaptive systems by leveraging the local precision of low-dimensional hyperbolic geometry rather than inheriting the global bias of high-dimensional Euclidean geometry.

Bottoms-Up | Divergent Phenomenon

IRIE© facilitates both feedback and feedforward learning under multiple iterations to synchronize emergent order from chaos.

IRIE© Partners and Alliances

ITOKI Global

Together with our deep tech partners, we create solutions towards building multiscale architecture of complex, open-ended problems.