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Advanced CV Search | Find the Perfect Candidate with Faxoc
Decoding Intent: Beyond Keyword Matching
Traditional search engines rely on rigid keyword detection—if a resume misses a specific word, the candidate is lost. Faxoc’s AI Semantic Search operates differently. Built on advanced vector embeddings and Large Language Model Read More
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Benefits
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Bias-Free Intelligent Sourcing
Pure Meritocratic Discovery Body: By focusing on semantic skills, project outcomes, and career velocity rather than gender, name, or location, our AI......
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Match Organizational DNA
Entity-Aware Cultural Matching Body: Skills are only half the equation. Our engine recognizes "Entity Weight"—distinguishing between candidates who thrive in chaotic startups......
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Automated Contextual Shortlisting
Instant "Best-Fit" Ranking Body: Don't review 500 results; review the top 10. Our infrastructure calculates a Contextual Fit Score in real-time, ranking......
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Surface Hidden Talent
Vector-Based Talent Discovery Body: Traditional search misses talent without "exact" keywords. Our vector embeddings find semantically related skills (e.g., finding "Scalability" when......
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Zero False Positives
Beyond Keywords: Intent Recognition Body: Stop wasting time on candidates who lack the actual skill. Our Semantic Engine distinguishes "Java" from "JavaScript......
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10X Speed with Voice Command
Natural Language Interaction Body: Forget complex Boolean strings like (AND/OR/NOT). Just speak: "Find me a Senior React Developer from Fintech." Our voice-native......
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Natural Language Interface: Just Ask
We have eliminated the complexity of constructing Boolean queries. Faxoc features a Voice-Native Natural Language Interface that allows recruiters to interact with our 15-million-strong database as if they were speaking to a colleague. You can simply command, "Find me a Senior Backend Engineer who has experience in Fintech and can handle high-volume transactions." Our NLP (Natural Language Processing) layer instantly deconstructs the request, identifies the core requirements, and executes a complex query across millions of data points. This reduces the time spent on query formulation to zero, democratizing advanced search capabilities for every member of your hiring team.
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Entity-Aware Intelligence: Matching Corporate DNA
A candidate who thrives in a chaotic Series A startup is often different from one who excels at a legacy enterprise like IBM. Faxoc’s engine possesses deep Entity Awareness. It recognizes specific company names, industry verticals, and educational institutions as distinct semantic entities with their own "cultural weight." When you search, our infrastructure doesn't just match skills; it evaluates the environmental fit. It understands the difference between "shipping code fast" and "enterprise compliance," automatically filtering for candidates whose professional DNA aligns with the maturity stage, operational speed, and domain specificities of your organization.
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Precision Ranking via Contextual Fit Scores
The result of a Faxoc search is not a random list of applicants; it is a prioritized hierarchy of relevance. For every query, our engine performs real-time inference to generate a Contextual Fit Score for each candidate. This score is calculated by weighing thousands of variables—from skill adjacency to career trajectory velocity. We mathematically predict the likelihood of success for that specific role. This allows your team to ignore the noise of "technically qualified but poor fit" candidates and focus immediately on the top 1% of matches, transforming a list of thousands into a shortlist of ten.