Axiom Cortex™ — Cognitive AI Evaluation (Science Only)
What it is: A measurement system that turns interview evidence into fair, explainable signals of fit and performance for nearshore engineering roles.
What it is not: A public API or vendor toolkit. Axiom Cortex™ runs inside the Nearshore IT Co-Pilot™ platform to support hiring and performance decisions—no external integrations.
Why this exists
US teams needed a way to extend into LATAM with accuracy, speed, and safety—without bias from accent, grammar, or style. Axiom Cortex™ judges reasoning content, not delivery, so CTOs get the best-aligned problem solvers faster.
Method at a glance
- Signals (44 total): psychometrics + NLP covering problem decomposition, constraint handling, debugging strategy, test design, collaboration cues, and code traceability.
- Core method: semantic chunking in RAG and staged/multi-step prompting with language-fairness calibration (L2-aware scoring that down-weights grammar noise, preserves idea quality).
- Guardrails: expert review of flags before roll-up; mapped to BARS (Behaviorally Anchored Rating Scales = ratings tied to observable behaviors) for clear feedback.
- Decision layer: constrained utility with reliability & fairness gates; outputs include confidence intervals and gate justifications.
Want the math? Open the full write-up:
➡︎ Scientific Foundations
Signal families (overview)
- Reasoning & decomposition • Solution/architecture • Code quality • Debugging discipline
- Data/API literacy • Concurrency & performance • Security & reliability cues
- Collaboration signals • Language-fair communication • Meta-cognition
See the complete catalog and process map: Method Map v3.0.0 →
What you get as a CTO
- Language-fair scoring that judges the thinking, not the accent.
- Explainable rubrics tied to observable behaviors (BARS).
- Speed & accountability: Time-to-Offer ≈ 9 days; day-one readiness (devices, access, first ticket); quarterly diagnostics with promotion signals L1–L4.
Publications & Research
- SSRN: Redesigning Human Capacity in Nearshore IT Staff Augmentation (5165433) — DOI 10.2139/ssrn.5165433
- SSRN Working Paper: abstract_id=5253470
- SSRN Working Paper: abstract_id=5188490
- Google Scholar — TeamStation AI: https://scholar.google.com/citations?user=aNol-ycAAAAJ
More: Publications page →
Platform context (no API exposed)
Axiom Cortex™ powers the Nearshore IT Co-Pilot™—one platform to hire, equip, secure, and pay LATAM engineers under one SLA.
Authority anchors: