About DiCorner
DiCorner exists to close the cognitive gap in modern analytics. We help growth teams understand why users behave the way they do, not just what they clicked.
The Problem We're Solving
Traditional analytics tools tell you that "User viewed pricing 4x" but can't explain why. Was it comparison paralysis? Trust erosion? Decision fatigue? Without understanding the cognitive state, interventions are guesswork.
Our Approach
Deterministic Intelligence
We use a hybrid system of hard-coded rules + interpretable ML (logistic regression, GBDT) to ensure every score is reproducible and audit-ready.
Cognitive-First Scoring
Instead of measuring clicks and pageviews, we model the psychological states behind behavior: Decision Fatigue, Trust Health, Drop-Off Intent, Engagement Readiness, and Conversion Likelihood.
Governance-Ready NBA
Every recommendation includes confidence bounds, psychological justification, expected impact with effort estimates, and human-in-the-loop override capability.
Our Technology
Golden Session Replay Methodology
Unlike traditional analytics that wait 30-90 days for cohort maturity, we use golden session replays with programmatic cognitive science labeling for insights in days.
Crowd-Network Integration
Our global network of 2M+ cognitive science researchers and behavioral experts provides human-in-the-loop validation, ensuring predictions match real-world cognition.
Compliance-First Architecture
LLM never scores or decides (narration only). No protected attributes used in modeling. Complete audit trail. Circuit breakers auto-revert to rules if ML drifts >20%.
Our Results
Global clients across Fintech, SaaS, E-commerce
Behavioral insights captured and validated
Average churn reduction across pilot programs
Increase in trial-to-paid conversion
Predictive alignment (model accuracy validated by experts)
Platform uptime
Our Team
DiCorner was founded by behavioral data scientists and ML engineers frustrated with the "correlation vs. causation" gap in traditional analytics.
Tracy Mutoni
Cofounder & CEO. Product, ML Engineering
Our Values
Transparency over Mystery
We believe in explainable AI. Every score, every recommendation, every model decision is auditable.
Speed to Value
We help clients prove ROI during trial periods, not after long implementation cycles.
Human + Machine
We augment human judgment with ML, never replace it. Our cognitive science community validates every model output.
Compliance as Default
We build for regulated industries first. Privacy, security, and auditability are non-negotiable.
Contact Us
Email: emily@dicornerusa.com
Supported Regions: 80+ countries globally