BERS reasons about human behavior using The BERS Codex — a fixed-name collection of peer-reviewed behavioral science frameworks — applied in consilience across ~2,200 classified behavioral signals. It doesn't train on historical data. It doesn't guess. It reasons — with full provenance, measured confidence, and the honesty to say "I don't have enough" when the evidence is thin.
Three steps. One cognitive architecture. No model training. No historical data dependency.
The Brain reaches maximally — 98 API adapters across 12 capability categories: open-source intelligence, archive resurrection, paid API verification, and direct credentialing. It reads what's there and what's missing. Absence is signal.
The BERS Codex — a fixed-name, peer-reviewed collection spanning criminology, personality science, behavioral economics, and motivational science — converges in consilience across ~2,200 classified behavioral signals. When independent sciences agree, the evidence is elevated. Five reasoning methods. Full provenance chain.
A structured behavioral read with measured confidence, explicit reasoning, and an audit-grade provenance chain. The score is applied downstream by the product lens the institution chose — The Brain never commits to a number.
The BERS Codex is the peer-reviewed behavioral science collection that powers every evaluation. Its name is fixed. Its framework count is N-agnostic — the Codex expands as the science does, without touching the reasoning pipeline. The count is not the claim. The reasoning across it is.
Consilience (E.O. Wilson, 1998) — the convergence of evidence from independent scientific traditions — is the epistemological foundation. When criminology, psychology, behavioral economics, and motivational science independently reach the same conclusion about a behavioral signal, that signal carries elevated evidential weight. The BERS Codex is built to produce consilience, not coincidence.
The BERS Codex is the substrate — not historical transaction data, not pattern matching. Science. The same science in every evaluation, every time.
No human analyst. No model that learned from what went wrong before. Autonomous reasoning from first principles, every time, against the same scientific standard.
When evidence is insufficient, The Brain says so. No fabricated confidence. No forced output. The honest answer is sometimes "not enough."
Every read has a full provenance chain. Every reasoning step is auditable. Explainability is architectural — not a post-hoc rationalization added to satisfy a regulator.
The Brain never trains on the populations it evaluates. Each evaluation is stateless. No cross-subject inference. No behavioral profile accumulates.
The Brain reasons once. Each lens applies a domain-specific formula to the same behavioral read.
Behavioral prediction for enrollment yield, retention, and degree completion — what demographic models cannot measure.
ABS — View spec →Pre-claim behavioral intelligence. Telematics measures driving; inspection reports measure the property. Neither measures the person.
BRS — View spec →Behavioral trust assessment across five career dimensions. Background checks return binary pass/fail. TVS delivers a continuous behavioral profile.
TVS — View spec →Pre-incident behavioral trust assessment for caregivers and home-service workers. Fills the gap no background check reaches.
FTS — View spec →Portable behavioral credit signal for thin-file and credit-invisible populations. Recovers creditworthy borrowers traditional models auto-decline.
BPS — View spec →Behavioral surveillance overlay for commercial real estate loan portfolios. DSCR and occupancy miss what behavioral data detects months earlier.
TQI — View spec →Per-peril behavioral loss prediction for multifamily habitational insurance. COPE scores the structure. BLES scores the behavior inside it.
BLES — View spec →Behavioral screening and continuous monitoring for multifamily tenants. Fills the gap between credit scores and actual lease outcomes.
RBS — View spec →Behavioral intelligence for marketplace seller trust. Backward-looking metrics move only after the damage is done. SII detects the trajectory first.
SII — View spec →Behavioral guest screening for individual hosts and small STR operators. Context-aware — the same guest presents different risk on a holiday weekend.
GTS — View spec →