The difficult problem
Interview evaluation was expensive, inconsistent and difficult to audit across roles and evaluators.
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AI interview system
TalentOS
A structured interview system that conducts role-specific interviews and produces evidence-calibrated hiring reports.
PlatformAutonomousResearch
Built around the hard part
The constraint shaped the intelligence.
The intelligence built
Resume parsing, rubric-bound question generation, live transcription and evidence scoring converge into a reviewable scorecard.
How the system works.
The model is one layer. The value comes from connecting inputs, intelligence and production action as one accountable system.
Media and streaming
Acquire and structure the operating signal.
Transcription and segmentation
Transform it through the model, rules and control layer.
Evaluation and reports
Deliver a decision, artifact or action into production.
Where it runs
Browser-based interview room with a real-time evaluation backend.
What it changes
Structured evidence replaces subjective notes without removing the human hiring decision.
Production stack
Next.jsWebRTCWhisperFastAPIPostgreSQLVector DB
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