Core Infrastructure
Teams replacing first-round technical interviews
Monthly Billing
$199 / month
Annual option (save ~20%): $1,788 / year
- Included
- 12 interviews per month
- Additional
- $15 per interview
Structured Pricing
Choose the deployment depth that matches your hiring infrastructure stage.
Teams replacing first-round technical interviews
Monthly Billing
$199 / month
Annual option (save ~20%): $1,788 / year
Organizations building structured engineering hiring intelligence
Monthly Billing
$499 / month
Annual option (save ~20%): $4,788 / year
Custom deployment for advanced hiring workflows, integrations, and compliance requirements.
Pricing
Custom
Contracted around volume, integrations, and compliance scope.
Scope
Custom interview volume with API and ATS integrations.
Support
Dedicated support with security and compliance guidance.
Human-in-the-Loop Support
APADCode provides structured evaluation and decision support while final hiring decisions remain fully under human control, ensuring regulatory alignment, transparency, and responsible AI usage.
AI Live Coding Interview
Fully structured first-round technical interview conducted by AI, guiding candidates through clarification, approach discussion, coding, and wrap-up without requiring engineer involvement.
Adaptive Follow-Ups
Real-time probing of candidate reasoning including trade-offs, complexity analysis, optimization opportunities, and edge-case discussion based on live responses.
Built-in Coding Workspace
Browser-based coding workspace with structured interaction logging, revision tracking, and seamless execution flow requiring no installation.
Full Interview Replay
Complete transcript, timestamped interaction history, and code evolution timeline enabling hiring teams to review reasoning progression and implementation decisions.
Reasoning Breakdown
Post-interview evaluation explaining how the candidate approached the problem, including strategy timing, complexity awareness, and iteration behavior.
Core Cognitive Signals
Extraction of measurable reasoning behaviors such as strategy identification latency, naive solution rejection timing, clarification depth, hint reliance, probe alignment, and revision patterns.
Cheating Safeguards
Detection of suspicious timing patterns, external AI-style responses, structured inconsistencies, and behavioral anomalies suggesting potential misuse of external assistance.
Expanded Cognitive Signals
Deeper behavioral modeling including alternative strategy evaluation, disruption recovery patterns, cognitive stability tracking, and advanced signal extraction.
Composite Feature Scoring
Evaluation score derived from structured measurable reasoning signals rather than summary-based grading, designed for higher consistency and long-term predictive improvement.
Advanced Anomaly Detection
High-confidence AI misuse detection using cross-signal inconsistency modeling and longitudinal deviation analysis.
Company Benchmarking
Internal percentile ranking and candidate distribution insights based on accumulated interview data within the organization.
Role Calibration Controls
Ability to adjust evaluation emphasis based on role type and company-specific hiring standards.
Bias Monitoring Summary
Transparent evaluation logic with structured reasoning factors supporting compliance-sensitive hiring environments.
Priority Support
Priority response routing and support coordination for production hiring operations.
Smart answers to common questions
APADCode can start as a pilot for a single role (e.g., backend) and expand once the team is comfortable with the workflow and evaluation outputs.
APADCode is built to replace technical pre-screening / first-round coding interviews, so teams can evaluate candidates without scheduling human screeners.
Coding tests mainly measure outputs (correctness/time). APADCode runs a live, interactive interview flow and evaluates how candidates think and communicate while coding, not just the final submission.
Every candidate follows the same structured interview framework. Evaluation is presented with transparent evidence (what was observed and why it mattered), reducing variability compared to purely human-led screens.
They’re measurable signals extracted from interview interaction—examples include strategy identification, constraint handling, complexity reasoning, and iteration patterns—so evaluation is grounded in observable behavior.
Engine 1 runs the live interview (stages, probing, timing). Engine 2 converts the interaction into structured signals and produces decision-ready evaluation outputs.
No. APADCode is designed as decision support. Hiring teams review the results and decide next steps.
Because it’s an interactive session, the system can probe reasoning and follow up in real time. That makes “answer-only” strategies harder than in static assessments.