Funding
Funding not disclosed
Founders
Product
Problem
Hiring processes often rely on opaque AI models that evaluate candidates based on isolated attributes, leading to biased outcomes and limited trust from recruiters and applicants.
Solution
Available Ai offers the CASI platform, an HR technology that applies symbolic ontological reasoning and a logic‑based theorem quantifier to assess candidate profiles. Instead of simple attribute matching, CASI quantifies relationship types between candidates and hiring professionals, producing match recommendations that can be directly explained. The Symbolic Ontological Reasoning Imputation (SORI) layer enhances model transparency, allowing users to query the system for the rationale behind each suggestion. By presenting clear, human‑readable explanations, CASI supports ethical decision‑making and fosters confidence in AI‑assisted hiring.
Target Audience
Primary customers are corporate recruiting teams, HR technology providers, and talent acquisition consultants seeking explainable AI tools for candidate selection.
Features
- Theorem Quantifier (TheoQ) engine that evaluates symbolic relationships rather than isolated data points
- Symbolic Ontological Reasoning Imputation (SORI) for real‑time, interpretable explanations of match scores
- Direct answer interface enabling users to ask natural‑language questions about candidate matches
- Relationship‑type matching that captures nuanced professional connections and cultural fit
- Transparent audit trail that logs reasoning steps for compliance and bias monitoring