Doppio offers a talent search engine that combines SQL pre‑filtering with LLM‑native Retrieval‑Augmented Generation to quickly match candidates to detailed role specifications. By indexing hard constraints like education, experience, and location before applying semantic analysis, it surfaces the top 0.1% of matches from millions of professionals and explains why each candidate fits, delivering nuanced, non‑empty result sets.
Funding
Funding not disclosed
Founders
Product
Problem
Recruiters often rely on keyword-based Boolean searches that return large, noisy candidate sets and miss nuanced qualifications such as career trajectory, soft skills, and cultural fit, leading to time‑consuming manual filtering.
Solution
Doppio provides a hybrid SQL‑RAG search engine that first applies high‑performance SQL indexing to enforce hard constraints like education, years of experience, and location. The filtered pool is then processed by a large language model that interprets the “white space” in resumes, extracting soft skills, career narratives, and cultural interests. A neural re‑ranking layer refines the results to surface the top 0.1% of candidates most aligned with the recruiter’s query. For each match, Doppio supplies an explanation linking the candidate’s profile to the search criteria, enabling rapid, informed decision‑making without manual sifting.
Target Audience
Primary users are corporate recruiters, talent acquisition teams, and staffing agencies that need precise, high‑quality candidate matches at scale.
Features
- SQL pre‑filtering engine that indexes hard constraints for instant elimination of irrelevant profiles
- LLM‑native contextual inference that parses resume narratives to identify soft skills, career paths, and cultural interests
- Neural re‑ranking pass that optimizes the final list for nuanced “perfect‑fit” variables and guarantees non‑empty results
- Automatic generation of match explanations that map candidate attributes to the recruiter’s query
- Scalable architecture capable of processing millions of professional profiles in real time