AssessioAI combines validated psychometric assessments with performance data, interview notes, and 1:1 feedback into a unified talent profile. Its retrieval‑augmented generation engine produces explainable, context‑aware outputs—such as hiring briefs, onboarding plans, and development summaries—that integrate directly with HR systems. The platform enables corporate HR, talent acquisition, and succession planning teams to make data‑driven, defensible talent decisions.
Funding
$1.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BPFounders
Product
Problem
Organizations often rely on fragmented talent data—separate psychometric assessments, performance reviews, and interview notes—making it difficult to derive a coherent, explainable view of candidate or employee potential. This lack of integrated, context‑aware insight hampers confident decision‑making in hiring, development, and succession planning.
Solution
AssessioAI aggregates validated psychometric assessments with real‑world performance signals into a single, structured talent profile. Its WisGPT engine applies retrieval‑augmented generation to select relevant data and generate explanations that align with an organization’s leadership models and success profiles. The platform delivers decision‑ready outputs—such as hiring briefs, onboarding plans, team gap analyses, and development summaries—that can be directly embedded into HR workflows. By grounding AI analysis in scientifically validated inputs, the solution ensures that insights are both fair and defensible, supporting data‑driven talent decisions across the employee lifecycle.
Target Audience
Primary users are corporate HR teams, talent acquisition specialists, learning and development professionals, and succession planning leaders in mid‑size to large enterprises and private‑equity‑backed organizations.
Features
- Integration of validated psychometric assessments with performance reviews, 1:1 notes, and interview data into a unified talent view
- Retrieval‑augmented generation (RAG) engine that pulls context‑specific information for each decision type (hiring, onboarding, development, succession)
- Structured, explainable AI outputs mapped to established psychological models, enabling transparent rationale for recommendations
- Automated creation of actionable artifacts such as candidate briefs, onboarding roadmaps, team profiles, and development plans that plug into existing HR tools
- Context‑aware logic that adapts analysis to an organization’s leadership frameworks, success profiles, and business objectives
- Scalable architecture supporting thousands of assessments per year for enterprise‑level talent operations
- Secure, HIPAA‑compliant data handling with role‑based access controls for confidential employee information