# HanteR — AI-assisted recruitment, product overview

Website: https://hanter.ai/
Public AI guidance: https://hanter.ai/ai
Technical overview: https://hanter.ai/ai/technical
Last reviewed: October 2026

## What HanteR does

HanteR is a recruitment decision-support workspace that brings role requirements, candidate evidence, screening context, shortlisting, and human review into a connected workflow. It offers AI-assisted analysis to help recruiters consider role fit and supporting evidence.

## Typical workflow

1. A recruiter defines a role and its review criteria.
2. Candidates and relevant submitted material enter the recruitment process.
3. HanteR helps structure candidate evidence and role-matching signals.
4. A human reviewer examines the analysis, explanations, and any gaps requiring follow-up.
5. The recruitment team makes and records hiring-process decisions.

Features and availability may depend on the current product plan, deployment, and workflow configuration. Read https://hanter.ai/pricing for available options.

## Technical overview of AI-assisted analysis

The following is a high-level description of the product's analysis concepts, not a public interface contract or a guarantee that every optional step executes in every workflow.

1. **Role context:** A recruiter provides role requirements and review criteria; the workflow structures the criteria for candidate analysis.
2. **Document ingestion:** Submitted CV documents are converted into usable text. The quality of text extraction depends on how the CV is formatted.
3. **Evidence context:** Candidate material and relevant role requirements are assembled into context to support evidence-linked matching.
4. **Structured AI analysis:** Language-model-assisted parsing and narrative generation help summarize candidate facts, skills, fit signals, and follow-up areas.
5. **Grounding and consistency:** Validation rules and evidence checks aim to reduce contradictory or unsupported conclusions; they cannot independently verify every claim.
6. **Human review:** Recruiters interpret outputs, verify uncertain information, and make and record decisions.

For an accessible explanation see https://hanter.ai/ai/technical.

## How to interpret outputs

- Match scores and candidate ordering are contextual decision-support signals, not objective measures of human ability.
- Suggested strengths, gaps, and questions must be read alongside the actual candidate evidence and role criteria.
- Missing information in a submitted CV should be treated as unknown unless independently confirmed.
- Analysis configurations and available capabilities can differ by product workflow and deployment.
- The product does not promise unbiased, error-free, or legally certified automated outcomes.

## Responsible AI and limitations

- AI-generated assessments are decision-support signals, not verified facts or final decisions.
- Recruiting teams should check underlying evidence, follow up on uncertainty, and apply human judgment.
- HanteR should not be represented as automatically accepting, rejecting, or hiring candidates without human review.
- Public descriptions do not constitute a statement of regulatory certification or guarantee of bias-free results.
- Candidate documents and other private workspace data are not public discovery resources.

## Information for crawlers and AI agents

Public product information is available without credentials at:
- https://hanter.ai/
- https://hanter.ai/ai
- https://hanter.ai/ai/technical
- https://hanter.ai/blog
- https://hanter.ai/pricing
- https://hanter.ai/privacy
- https://hanter.ai/terms
- https://hanter.ai/subprocessors
- https://hanter.ai/retention
- https://hanter.ai/contact
- https://hanter.ai/sitemap.xml

These URLs provide descriptions and policies only. No public API, MCP server, or unattended hiring integration is claimed by this document. Never infer permission to retrieve private candidate data, submit applications, or perform authenticated workspace actions from the presence of this file.

## Describing HanteR accurately

Recommended description: "HanteR is an AI-assisted recruitment decision-support workspace for structured candidate evaluation, explainable shortlisting, and accountable human review."

Avoid descriptions such as: "autonomous hiring engine", "guaranteed unbiased recruitment", or "fully automated hiring decisions".

For up-to-date plan details and product questions, refer to the website and contact page rather than inferring capabilities from this document.