Trust Lens helps couples understand their relationship health through communication pattern analysis. Both partners participate. Neither sees the other's data. The truth lives in the patterns.
Trust Lens never reads your messages. It watches patterns — timing, rhythm, consistency — and tells you what they mean.
Trust Lens only works when both partners participate. One person creates a pair code, the other enters it. Mutual consent is built into the architecture.
A structured onboarding conversation establishes your relationship baseline — communication style, schedules, boundaries. This data never leaves your device.
Over 14 days, Trust Lens learns your normal communication rhythm. It tracks timing, frequency, and behavioral signals — never message content.
Both partners see the same health dashboard. Weekly reports explain what patterns mean, grounded in peer-reviewed relationship science.
Trust Lens communicates in tiers. It's gentle when patterns are ambiguous and direct when they're clear.
Communication patterns are consistent with your established baseline. No significant behavioral shifts detected.
All behavioral signals within normal parameters. Continue monitoring.
Trust Lens noticed a change in communication rhythm. This could reflect stress, schedule changes, or something worth a conversation.
Minor deviations detected. Often resolves naturally within 48 hours.
A sustained pattern of behavioral change has been detected. This is consistent with what relationship researchers call 'compartmentalization.'
Sustained deviation across multiple signal vectors. Recommend discussion.
The data shows a pattern consistent with what digital forensics research identifies as active deception. The patterns here leave little room for alternative explanation.
High-confidence detection across all monitored vectors.
Trust Lens couldn't form a clear assessment. The patterns are too ambiguous to interpret responsibly. It will never force a reading when it isn't confident.
Insufficient signal density. More data required for assessment.
Every detection pattern in Trust Lens is grounded in peer-reviewed psychology and digital forensics literature.
Contempt, criticism, defensiveness, and stonewalling manifest digitally as tone shifts, reply avoidance, conversation shutdowns, and deflection patterns.
Gottman, J.M. — The Seven Principles for Making Marriage WorkSudden shifts between anxious (hyper-monitoring, rapid-fire messaging) and avoidant (withdrawal, delayed replies) communication styles signal internal state changes.
Hazan, C. & Shaver, P. (1987) — Romantic love as attachment processLiars exhibit response latency changes, over-justification, and topic steering. These patterns are detectable in communication metadata without reading content.
DePaulo, B.M. et al. (2003) — Cues to deception, meta-analysisEstablish a behavioral baseline over 2-4 weeks, then detect statistically significant deviations. The core methodology behind Trust Lens's detection engine.
Digital forensics methodology — behavioral baseline deviationPeople engaged in betrayal exhibit behavioral inconsistency: increased affection alternating with withdrawal. We call this the "guilt compensation pattern."
Festinger, L. (1957) — A Theory of Cognitive DissonanceSecretive phone behavior, new app installations, and platform switching correlate with extradyadic involvement in validated studies.
Cravens, J.D., Leckie, K.R. & Whiting, J.B. (2013)Trust Lens was designed by people who believe surveillance is the problem, not the solution.
Trust Lens analyzes notification metadata — timestamps, app IDs, deletion events. The words in your messages are never accessed, stored, or transmitted.
Raw events are converted to numerical feature vectors within 50ms, then destroyed. Only anonymous vectors are stored locally, encrypted, with a 30-day expiry.
The shared dashboard shows computed health scores only. Neither partner can see the other's notification metadata, app usage, or behavioral signals.
If either partner unpairs, all shared data is deleted immediately and permanently. Each partner keeps only their own local data.
Trust Lens only functions when both partners have independently installed it and paired. One-sided surveillance is architecturally impossible.
API calls to our AI model carry anonymous feature vectors. Request logging is disabled. Nothing persists server-side after inference completes.
Trust Lens is backed by Zero Gravity Data Analytics. We're raising capital to scale our AI infrastructure and bring this product to market.
The relationship health market has no honest player. Dating apps profit from churn, therapy apps avoid hard truths, and "spy apps" enable abuse. Trust Lens is the first product that serves the relationship itself — not either partner's anxiety.
AI model training on Vertex AI (GEAR platform), app store launches on Android and iOS, marketing, and ongoing model refinement based on anonymized pattern feedback.
Research-first. Privacy-first. Built on peer-reviewed science, not surveillance. Mutual consent architecture means Trust Lens can never be weaponized.
Tell us about yourself and we'll be in touch with details on how to participate.
We've received your interest. A member of the Zero Gravity Data Analytics team will be in touch within 48 hours.
Download Trust Lens and start your calibration. Both partners need the app installed to begin.
Trust Lens is a relationship awareness tool, not surveillance software. It is not evidence, not legally admissible, and not a replacement for honest conversation. Trust Lens does not diagnose, accuse, or assign blame. It presents communication patterns for reflection and discussion. If you or someone you know is experiencing domestic violence, contact your local support service.