What exactly is Dissect?
Dissect is a behavioral intelligence platform that builds a 90-day baseline per relationship across five environments — Social, Office, Global, Civic, and Date. It reads intent, detects contradiction, and tracks behavioral drift over time. Not what was said. What it reveals.
Who is this for?
Anyone who communicates — which is everyone. You interact with people every day: colleagues, partners, friends, clients, family. Most of what drives those interactions — intent, pattern, direction — is invisible without a system built to track it. Dissect makes the invisible legible across every relationship, every environment, continuously.
How is this different from ChatGPT or other AI tools?
General AI tools now remember you — but as one general profile, not a separate baseline for each relationship and each context, and they don't track how someone is drifting from their own norm. Dissect builds a longitudinal behavioral fingerprint per relationship per user, calibrated to context, and measures drift against the right baseline — so it compounds with every session and gets more precise the longer you use it. That structure is the difference.
How is this different from Hume AI or Crystal Knows?
Hume analyzes real-time emotion in the moment with no memory and no longitudinal tracking. Crystal Knows reads a LinkedIn profile before any interaction has occurred. Neither builds a behavioral baseline. Neither detects drift over time. Neither predicts. Dissect does all three — across relationships you are actively living, not profiles you are preparing to meet.
What are the five environments?
Social. Office. Global. Civic. Date. Each uses the same behavioral analysis engine with context-calibrated baselines — because how someone behaves in a negotiation is not the same as how they behave in a relationship, and the signals that matter change accordingly.
What is the ABCD Framework?
Affect, Behavior, Cognition, Direction. The proprietary four-dimensional model that structures every analysis. It is the interpretive architecture behind Dissect's outputs — not surface pattern matching, but a methodology built from decades of applied behavioral analysis across public leadership, technology, business, and high-stakes human environments.
The 90-day baseline is the moat — but do users get value before then?
Yes. The baseline is the long-term asset, but the product delivers value on day one. Every session surfaces immediate pattern reads, contradiction detection, and intent analysis on current inputs. Users get real-time intelligence while the longitudinal baseline builds in the background. The 90-day clock compounds the value — it does not delay it.
Why won't Hume or Crystal Knows just add longitudinal tracking as a feature?
Hume is a real-time emotion API. Their architecture is signal detection in the moment — adding longitudinal memory requires rebuilding their data model, not adding a feature. Crystal Knows is pre-interaction profiling from public data — they have no mechanism for capturing behavioral drift because they never interact with live relationship data. This is not a feature gap. It is a foundational structural difference.
Is my data private?
Your behavioral data is never sold, never shared with advertisers, and never used to train models outside your own profile. Raw files are processed and immediately deleted. All data is encrypted at rest and in transit. You control export and deletion at any time.
When will iOS be available?
Dissect is in active pre-seed fundraising. iOS launch is Phase 1, months 1–6 post-close. Join the waitlist to be notified first.
I'm an investor. How do I learn more?
The deck, technical architecture, and financial model are available to qualified investors under NDA. Use the Investor Access button at the top of this page. You will hear from Kianga directly.
