Job brief to JD
Stratum starts with a role brief and turns it into a structured job description, scorecard, required skills, screening criteria, and interview plan.
Plan a BuildAI recruitment product
Stratum is BearingNorthAI's end-to-end recruitment product. It helps customers create the JD, source talent, shortlist with AI, run conversational qualification rounds, conduct video interviews, and receive detailed hiring reports with AI recommendations.
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Recruitment breaks down when job requirements are vague, sourcing is fragmented, screening is inconsistent, and hiring teams do not have enough structured evidence. Stratum solves this by turning hiring into an AI-native workflow.
The product lets a customer move from a job description to a hiring-ready shortlist inside one connected system. AI handles the repetitive intelligence work: creating role structure, finding candidate patterns, matching profiles semantically, running initial qualification conversations, and preparing decision reports.
Workflow graphic
The graphic below shows the full hiring path Stratum supports today. Later, product screenshots can be added into this section without changing the page structure.
Stratum starts with a role brief and turns it into a structured job description, scorecard, required skills, screening criteria, and interview plan.
The system supports talent sourcing across multiple channels, then organizes profiles into a searchable candidate workspace.
AI shortlists candidates using semantic search, matching intent, experience, skills, and role context beyond simple keyword filtering.
Customers describe the qualification round in natural language. Stratum converts that into criteria, questions, and scoring logic.
Candidates answer qualification questions through conversational AI over a voice call or chat, with multilingual support.
Stratum can conduct a video interview or video call and capture structured insights from the interaction.
Recruiters receive detailed insights, candidate summaries, evaluation signals, AI recommendations, and next-step guidance.
The customer gets a complete end-to-end view from JD to recommended shortlist, ready for final human decision making.
Qualification intelligence
A hiring manager can describe what good looks like in natural language: experience, skills, must-have answers, language needs, deal-breakers, and role-specific signals. Stratum turns that into an AI qualification round.
Voice: Candidates can complete the first round over a telephonic conversational AI call.
Chat: Candidates can answer screening questions in a chat-based flow.
Multilingual: The experience supports multiple languages for broader candidate accessibility.
Reports: Stratum gives the customer insights, recommendations, transcripts, and structured evaluation notes.
Features
Pricing
Pricing will later expand into three plans. For now, Stratum starts with clear hiring-based pricing so customers can begin with one hiring workflow or one role.
For customers who want to use Stratum on a hiring outcome basis.
For customers who want Stratum to support the full role workflow.