An AI assessment tool is a digital assessment platform that uses artificial intelligence to support, automate, or enhance different stages of the assessment process such as test creation, response evaluation, scoring, and security.
By applying AI technologies, AI assessment tools help organizations assess skills, knowledge, and competencies more efficiently and consistently. These tools can analyze candidate responses at scale, assist with the grading of open-ended answers, automate question creation, support remote proctoring, and reduce manual workload while keeping human oversight in place.
Which stages of the assessment process can AI support?
- Question & exam generation: AI supports the creation and assembly of assessments by helping generate questions and assemble exams based on predefined rules (topic, skill, difficulty, or competency).
- Evaluation, grading and scoring: AI assists evaluators by providing scoring suggestions for open-ended responses and applying rubrics consistently.
- Feedback: AI helps generate structured, criteria-based feedback by analyzing responses against predefined rubrics.
- Security: AI supports exam integrity by detecting and flagging suspicious behaviors during test delivery, such as unusual navigation patterns or environmental risks.
1. TestInvite
TestInvite is a comprehensive AI-powered assessment platform designed to support secure and scalable evaluations across recruitment, certification, and training use cases. Rather than focusing on a single assessment stage, TestInvite applies AI across the full assessment lifecycle, from evaluation to exam security, while keeping human decision-making at the center.
AI-assisted grading for open-ended responses
TestInvite uses AI to assist reviewers in evaluating open-ended responses with greater speed and consistency. The system supports scalable analysis while ensuring that all final decisions remain under human control. In addition to scoring support, AI helps generate structured, criteria-based feedback for both candidates and reviewers. AI evaluation acts as a decision-support layer rather than an automated judge.
Key AI features:
- Supports multiple response formats: Evaluates written explanations, essays, audio recordings, video responses, and coding tasks.
- Aligns with administrator-defined criteria: Analyzes scoring rubrics, dimensions, and evaluation rules configured by the test administrator before reviewing responses.
- Provides consistent AI-assisted scoring suggestions: Generates scoring recommendations that help standardize evaluation across candidates and reviewers.
- Delivers actionable feedback for candidates and reviewers: Generates rubric-aligned feedback that helps candidates understand performance and supports reviewers with clear evaluation rationales.
- Keeps human reviewers fully in control: Allows evaluators to review, adjust, or override AI-assisted scores to ensure accuracy, fairness, and accountability.
AI-powered proctoring and exam monitoring
TestInvite uses AI to support exam supervision by continuously monitoring the test environment and highlighting potential integrity risks in real time. AI-driven proctoring is designed to assist administrators by surfacing high-risk events rather than enforcing automatic penalties. All flagged incidents remain fully reviewable, ensuring that final decisions are made by human reviewers.
Key AI features:
- Continuously monitors the exam environment: Detects behaviors such as multiple faces, unusual movement patterns, presence of prohibited objects, and abnormal activity signals during the exam session.
- Generates risk-based alerts instead of automatic actions: Flags high-risk moments for review rather than automatically penalizing candidates, helping administrators focus on the most critical cases.
- Captures structured evidence automatically: Records screenshots, timestamps, and behavioral indicators linked to potential violations throughout the exam.
- Creates reviewable evidence logs: Organizes captured data into clear, time-stamped logs that support transparent and defensible exam decisions.
- Reduces manual review workload: Eliminates the need to watch full recordings by directing reviewers to relevant moments only.
- Keeps human oversight in control: Allows administrators to review, confirm, or dismiss AI-flagged events before taking any action.
Human-in-the-loop AI design
TestInvite’s AI features are designed to assist, not replace, human judgment. All AI-generated insights, scores, and flags are fully reviewable, ensuring that final decisions are made by qualified reviewers while benefiting from AI-driven efficiency and consistency.
2. Testlify
Testlify applies artificial intelligence across assessment creation, evaluation, and exam security to support scalable skill-based testing.
Key AI features:
- AI assessment generation: The platform generates assessments by analyzing a job title, role description, or required skills provided by the administrator. AI uses this context to automatically create relevant, role-specific questions, reducing manual test design effort.
- AI evaluation and insights: AI evaluates short-answer and long-answer responses by analyzing written content across multiple scoring parameters and assigning scores accordingly. Based on candidate responses, the system also generates insights that highlight individual strengths and weaknesses.
- AI identity verification and proctoring: AI matches the candidate’s live camera feed with their submitted ID or profile image to verify identity. During the exam, AI monitors candidate behavior to flag potential integrity risks, including excessive movement, looking away from the screen, speech detection, and suspicious eye-movement patterns.
3. SHL
SHL provides AI-powered assessment solutions designed to evaluate language, coding, and candidate identity at scale.
Key AI features:
- Spoken language assessment: SVAR evaluates spoken language skills across multiple languages and automatically scores fluency, pronunciation, and active listening using AI. It relies on phoneme-level analysis to measure speech accuracy and comprehension.
- Writing assessment: WriteX evaluates written English responses using AI-powered NLP. It scores grammar accuracy and content quality, with a focus on structure, clarity, and depth of expression.
- Face verification and monitoring: AI detects the presence of a face during the assessment and compares facial data throughout the session to verify identity consistency. This helps ensure that the same candidate completes the test.
- Coding assessment: Automata evaluates programming ability across multiple languages. AI assesses code quality even when solutions do not compile and complements test-case results with semantic code analysis.
4. Vervoe
Vervoe focuses on AI-driven assessment creation and personalized grading, helping teams evaluate job-related skills based on real work scenarios rather than generic tests.
Key AI features:
- AI assessment generation from job descriptions: AI analyzes uploaded job descriptions to identify key skills and competencies, then generates a custom assessment structured around multiple skill groups with a mix of validated and AI-generated questions.
- Personalized AI grading: The AI grading model is trained using human-provided scores, allowing organizations to teach the system what strong and weak answers look like based on their own standards. Grading inputs are fed back into the AI, improving scoring consistency and alignment with role-specific expectations over time.
5. Learnosity
Learnosity provides AI-powered tools that support assessment authoring and grading while keeping educators and assessors in full control of evaluation decisions.
Key AI features:
- AI-assisted assessment authoring: The platform uses AI to support assessment creation by generating question content and learner feedback based on the selected question type, subject area, and prompt. The system enables authors to refine outputs by editing prompts, regenerating content, or switching to a freeform mode.
- AI grading and feedback: The platform applies AI to assist with grading and feedback while keeping final decision-making in human hands. The grading engine adapts to existing rubrics and allows evaluators to adjust parameters such as structure, topic relevance, learner level, and marking style.
6. Exam AI
ExamAI focuses on using AI to support exam creation and grading across both online and paper-based formats.
Key AI features:
- AI question generation: AI generates exam questions based on a described topic and requirements, with optional reference materials such as PDFs or images used as context. Generated exams can be reviewed, edited, and customized before publishing. The system supports multiple question types, including multiple-choice and long-answer questions.
- AI grading: AI analyzes student submissions to assign grades and generate detailed, answer-level feedback. It identifies common mistakes, learning gaps, and maintains consistent grading standards across all candidates.
- AI-powered paper exam grading: Completed exams are scanned and uploaded as PDFs, which the system processes in bulk. The AI handles different handwriting styles while preserving the familiar paper-based exam format, enabling large-scale grading without manual correction.
7. Testportal
Testportal focuses on AI-assisted question creation by turning existing content into ready-to-use assessment questions.
Key AI features:
- AI question generation: The platform generates questions using AI based on uploaded files or pasted text content. Users can also create questions by entering a specific topic, then edit, expand, or enrich the generated questions with additional content or media. This approach streamlines test creation while keeping full control over question quality and structure.
8. Prometric
Prometric’s AI-powered exam and assessment development capabilities focus on structured, standards-based content creation and quality control.
Key AI features:
- AI exam development: Generates exam content from specific materials and passages while targeting defined topics, subdomains, learning objectives, and cognitive levels. Supports adjustable creativity, provides answer rationales and references, and enables detailed exam review using metrics such as readability, word count, and grade level. Allows users to refine, clone, manage, and export items while maintaining control over access, permissions, and review workflows.
9. TestGorilla
Testgorilla uses AI to support the scoring of open-ended assessment responses, helping teams evaluate written and video answers more efficiently while maintaining human control over final decisions.
Key AI features:
- AI auto-scoring: Scores open-ended responses, including essays and video answers, using predefined scoring criteria reviewed by I-O psychologists. For custom questions, you can create your own scoring rubrics using AI, with full review and adjustment by administrators. Keeps final decision-making with reviewers while reducing manual grading effort through AI assistance.
10. Eklavya
Eklavvya focuses on AI-driven assessment creation, evaluation, and proctoring across academic, skill-based, and communication-focused exams.
Key AI features:
- AI question & question bank generation: AI generates question papers and question banks by analyzing subject, topic, difficulty level, target audience, exam goals, and question format. Supports case-based and real-world scenario questions.
- Adaptive & generative assessments: AI asks follow-up questions based on candidate responses, creating a dynamic assessment flow. After a short sequence of questions, the system generates results and feedback automatically.
- AI evaluation engine: Domain-tuned large language models evaluate descriptive answers using rubrics, model solutions, and historical scoring patterns to replicate subject-expert reasoning. AI also reads and evaluates scanned or photographed handwritten answer sheets across different handwriting styles, grading answers based on predefined marking schemes.
- Identity verification & AI proctoring: Facial recognition verifies candidate identity, while real-time audio, video, screen, and tab-switching monitoring flags suspicious behavior during the exam.
