ACHNET is an AI Agent-driven professional development and hiring platform designed to help organizations
reduce hiring time, improve decision accuracy, and ensure fair candidate evaluations at scale. At the heart
of the platform is iJupiter©, our proprietary AI Agent that enables businesses
to automate interviews,
assessments, and candidate ranking—while staying aligned with global compliance and ethical AI standards.
Below are detailed descriptions of ACHNET's core solution modules.
Automated, Scalable Interviewing with Structured Scoring
ACHNETʼs AI Video Interview feature allows businesses to conduct structured,
unbiased interviews asynchronously, helping recruiters save time and improve consistency across
large candidate pools.
Key Capabilities
- Simultaneous, Automated Interviewing
Invite multiple candidates to complete interviews asynchronously,
eliminating the need for manual coordination or scheduling.
- AI-Generated, Industry-Specific Interviews
Questions are dynamically created from job descriptions and aligned to
required competencies—customized for any industry or role, from entry-level to executive.
- Support for Coding Interviews
For
technical positions, iJupiter© enables candidates to complete structured coding
questions within the AI interview interface, supporting evaluation of logic, syntax, and
problem-solving ability.
- Post-Interview Analysis and Reports
Once interviews are completed, hiring teams receive structured evaluation
reports with scoring breakdowns, behavioral insights, and integrity signals to support
decision-making.
Use Cases:
- High-volume candidate Interviews
- Remote hiring with reduced manual effort
- Consistent evaluation criteria across locations and teams
Targeted Skill Evaluations Aligned to Industry and Role
ACHNETʼs AI-driven assessments are automatically generated from job descriptions
to evaluate candidates on role-relevant functional and technical skills. Whether you're hiring in
IT, finance, healthcare, sales, or any other domain, iJupiter© creates
assessments that reflect the specific demands of the role and industry
Key Capabilities
- AI-Generated, Job-Specific Assessments
Assessments are created in seconds based on the job description, with
question sets tailored to the competencies required for success in a specific role and
industry.
- Support for Multiple Question Types
Includes multiple-choice questions (MCQs), scenario-based evaluations, and
role-specific exercises across technical and non-technical functions.
- AI-Based Proctoring and Anomaly Detection
iJupiter© monitors candidate interaction
patterns to detect anomalies such as using other AI models, supporting test integrity
without affecting scores.
- 360° Reports for Recruiters
Each
completed assessment generates a structured performance report detailing scores, accuracy,
time taken, and behavioral flags—helping hiring teams quickly identify top
candidates.
Use Cases:
- Screening technical, analytical, and domain-specific roles
- Replacing one-size-fits-all assessments with custom evaluations
- Streamlining the evaluation process for large candidate batches
Contextual Resume-to-JD Matching Using AI
ACHNETʼs ARS(AI-enhanced ATS) enables hiring teams to prioritize candidates using
smart match scoring based on JD-to resume alignment.
Key Features:
- NLP-based contextual matching, not keyword scanning
- Real-time ranking of candidates based on skill and role fit
- Refreshable scoring when resumes or JDs are updated
- Visual ranking dashboards for recruiters
Use Cases:
- Fast identification of high-fit applicants
- Augmenting human screening in high-volume recruitment
- Enhancing visibility into candidate-job alignment
Create Complete, Structured JDs in Seconds
ACHNET allows hiring teams to generate professional job descriptions quickly
using minimal input.
Key Features:
- Enter prompts like job title, company name, industry, and key
skills
- Auto-generate full job descriptions aligned to the role
- Regenerate or manually customize job descriptions
- Export-ready format for posting on job boards or career pages
Use Cases:
- Rapid JD creation for fast-growing teams
- Standardizing job descriptions across departments
- Improving clarity in candidate expectations
- Instant job post creation
Insightful Reporting with Full Business Control
ACHNET supports structured candidate performance summaries that can be shared at
the employerʼs discretion.
Key Features:
- Competency-level feedback from AI Interviews and Assessments
- Configurable report access: recruiters-only or shared with
candidates
- Aligned to company communication policies
Use Cases:
- Enhancing candidate experience post-evaluation
- Providing feedback transparency during internships or graduate
hiring
Proactive Anomaly Flagging for Secure Evaluation
ACHNET includes integrated behavioral signal analysis to ensure test-taking
integrity without compromising candidate scores.
Key Features:
- Flags unusual test behavior such as excessive pauses or navigation
patterns
- Fraud indicators are flagged for human review only (not scored)
- Built-in within assessments and AI video interviews
- Detecting and flagging the use of other AI models to answer
questions
Use Cases:
- Securing bulk or remote assessments
- Supporting identity integrity during asynchronous evaluations
- Enhancing confidence in test results without adding friction
Built for Easy Enterprise Connectivity
ACHNET is designed for compatibility with major enterprise systems and
tools
Current and Planned Integration Capabilities:
- ATS integration (invite and track candidate progress)
- SSO via SAML 2.0
- Calendar API support for scheduling
- REST API access for selected enterprise features
Built for Easy Enterprise Connectivity
ACHNET is designed for compatibility with major enterprise systems and
tools
Current and Planned Integration Capabilities:
- Support: Email-based support is
available for businesses and candidates at support@achnet.com.
- Data Retention: Default retention period
is one year unless otherwise configured or legally required.
- Compliance: Aligned with GDPR, CCPA,
EEOC guidelines, and APA principles related to personnel selection fairness and data
ethics.