Progeni Atlas was founded with a singular conviction: engineering ability should be practiced and evaluated on real problem solving, logical clarity, and systems reasoning—not high-stress trick questions or scheduling bottlenecks.
< 500ms
Real-Time Voice Turn Latency
Monaco
Integrated Code Sandbox
100%
Evidence-Linked Rubric Scoring
WebRTC
Zero Install In-Browser Experience
Traditional technical interviews often create high friction for candidates and engineers alike. Candidates face scheduling anxiety and inconsistent questioning, while engineers spend dozens of hours repeating identical preliminary screens.
Progeni Atlas provides candidates with an autonomous, patient, two-way conversational partner that adapts questions in real time. Whether probing distributed systems tradeoffs or debugging live Python code, our platform listens, evaluates, and compiles detailed rubric reports you can learn from.
Context-aware question synthesis
Context Ingestion
Resume + Target Role competencies extracted into structured evaluation rubrics.
Two-Way Audio/Video Dialog
Real-time candidate vocal answers trigger intelligent follow-ups on system trade-offs.
Evidence-Linked Feedback
Granular scoring backed by automated unit test results and audio transcript evidence.
We anchor our evaluation models to demonstrated problem solving and code correctness, eliminating human bias.
Candidate scoring relies strictly on semantic code accuracy, logical problem solving, and architecture reasoning. Personal demographics are never evaluated.
Client-side MediaPipe vision monitors display focus and face detection locally during the session without storing unnecessary biometric profiles.
Candidates receive comprehensive feedback reports highlighting specific areas of strength and concrete code optimizations to accelerate career growth.
Our platform architecture combines real-time streaming AI, in-browser compilation, and mathematical grading rubrics.
Sub-500ms Turn Processing
Built on WebRTC and streaming speech recognition for natural, low-latency technical discussions without awkward conversational lag.
In-Browser Execution
Monaco-powered development environment supporting Python, C++, Java, and TypeScript with automated edge-case test validation.
Unbiased Evaluation
Grading is anchored to demonstrable code execution, algorithmic complexity, and structured communication rubrics.
Transient Processing
Session audio and code inputs are processed with standard SSL encryption, giving candidates full transparency over their feedback.
Take a simulated interview drill right now, test your live coding skills, and get instant detailed feedback.