Deterministic ATS Matching Engine
Eliminate non-deterministic LLM hallucinations and naive keyword filtering. TalVivo's hybrid engine extracts structured candidate facts and evaluates qualifications against reproducible mathematical rubrics.
From Unstructured PDF to Verified Score
Factual Disaggregation
Extracts raw tenure dates, company domains, engineering titles, code repositories, and specific project accomplishments into typed JSON schemas.
Skill Taxonomy Mapping
Maps synonymous technologies (e.g. 'Postgres' = 'PostgreSQL', 'Golang' = 'Go') to a standardized global engineering knowledge graph.
Deterministic Scoring
Calculates required vs preferred skill weights, tenure thresholds, and domain multipliers using deterministic formulas that produce identical results every run.
Why deterministic scoring beats raw LLM prompts.
Zero Temperature Variance
Raw LLM prompts can score the same resume 65/100 in the morning and 85/100 in the afternoon. TalVivo guarantees consistent scores.
Inspectable Citations
Every awarded point traces back to an exact sentence or verified tenure line in the candidate's original resume document.
Objective Evaluation Integrity
Replaces black-box guessing with inspectable citations and mathematical rubric weightings for every scored skill.
Frequently Asked Questions
Bring mathematical consistency to your candidate screening.
Try TalVivo's deterministic ATS engine on your next requisition.