AI-powered interviews, assessments, and proctoring that understand more than answers โ what candidates say, how they say it, and whether the assessment stayed intact.
Trusted by teams building better hiring experiences
From natural conversation to structured technical checks โ run the assessment format each role actually needs.
The AI conducts a natural, conversational interview โ dynamically choosing follow-up questions based on the candidate's previous answers, the role requirements, and demonstrated skill level.
Structured knowledge checks, domain-specific technical questions, and skill assessments โ presented in a fast, elegant interface built for focus.
Realistic workplace scenarios โ like a production incident or a conflicting stakeholder request โ that surface decision-making, prioritization, and problem-solving under pressure.
Demonstration of how Skillytal's evaluation engine reads a live response in real time.
Simulated demonstration โ not a live model response
Skillytal evaluates an assessment across multiple dimensions at once, then combines them into a single, explainable intelligence graph.
Depth of domain understanding
Structured reasoning under constraints
Clarity and structure of a response
How conclusions are reached
Delivery signals during a response
How closely an answer fits the question
Patterns observed across the session
Environment and identity signals
Where the product architecture supports it, Skillytal runs AI-assisted proctoring directly on the candidate's device โ producing signals for review, not unsupported accusations.
Detects when more than one person appears in frame
Flags smartphones, tablets, and other displays
Identifies potentially relevant reference material
Monitors whether the candidate stays visible
Skillytal does not claim to catch every possible integrity risk. These are AI-powered signals designed to identify potential concerns for human review โ not automated verdicts.
Skillytal can analyze whether visible mouth movement is reasonably synchronized with detected speech and audio characteristics, to help identify potential audio/video inconsistencies.
This is a probabilistic signal, not a certainty โ synchronization scores are one input among many, never a standalone verdict.
Communication and behavioral signals โ not lie detection. Skillytal never claims to determine emotion, deception, or truthfulness from voice alone.
A sophisticated computer-vision layer identifies people and objects in frame โ using realistic, fictionalized demonstration imagery, never real candidate footage on this page.
Skillytal never claims to catch every AI overlay. Instead, it combines multiple independent signals into a single, reviewable risk indicator.
Weighs every signal together โ no single input determines the outcome.
The candidate begins their assessment session.
AI or structured questions are presented in sequence.
Responses are captured โ spoken, written, or selected.
Speech characteristics are analyzed as they happen.
Camera-based signals are processed at the edge.
Interaction patterns are observed across the session.
Raw scoring is computed per question and dimension.
Signals are combined into a coherent evaluation.
A structured, reviewable report is generated for the hiring team.
Sarah demonstrated strong system-design fundamentals and communicated trade-offs clearly under time pressure. Reasoning was consistent across follow-up questions, and no integrity signals were flagged during the session.
Send a personalized assessment link
Identity and device checks complete
Conversational or structured format
Relevant audio, vision, behavior signals
Every answer scored across dimensions
A structured candidate report is built
Recruiters review and move faster
Skillytal turns hours of manual review into a structured, repeatable evaluation process โ without pretending the work happens by magic.
Fewer hours spent reading raw transcripts
Every candidate scored on the same rubric
Reports built for a hiring decision, not a data dump
Potential concerns surfaced early, not after the offer
Compare candidates side by side, in minutes
The same rigor for every open role
We don't claim certifications we haven't earned. Here's how the architecture actually works.
Proctoring signals are computed on-device where the architecture supports it, keeping raw video closer to the candidate.
Each assessment link is scoped and time-bound, reducing the surface area for misuse.
Enable only the assessment formats and proctoring checks a role actually needs.
Assessment data is scoped to the organizations and roles that need it.
Every automated signal is designed to be reviewed by a human, not to auto-decide.
Built to scale across teams, roles, and hiring volumes without re-architecting.
A simulated demonstration โ pick an answer and watch the evaluation flow run.
Give every candidate a smarter assessment experience โ and every hiring team deeper candidate intelligence.