Metaview takes notes from your interviews. Lehire turns interview signal into structured, comparable, defensible hiring decisions.
Metaview is an AI notetaker for interviews. It captures and summarizes interview conversations so recruiters and hiring managers spend less time writing notes and more time engaging with candidates. Its job is to remove the friction of documentation and produce clean, searchable interview notes.
Lehire operates at the decision layer rather than the notetaking layer. As a Hiring Decision Intelligence platform, it structures interview signal into scorecards tied to role competencies, produces an evidence-based 0-100 fit score, ranks candidates side by side through the Decision Engine, and preserves hiring memory. It also runs its own AI Interviewer for consistent structured interviews.
Good notes and good decisions are related but not the same. A notetaker captures and summarizes what was said; decision intelligence evaluates it against the role and helps a committee conclude. Teams often use an AI notetaker for documentation and Lehire to evaluate, compare, and decide.
What is Notes vs decisions?
An AI notetaker like Metaview removes the work of writing notes and summarizing interviews. Lehire takes that signal and makes it structured and comparable: scorecards, 0-100 fit scoring, ranking, and hiring memory that lead to a defensible hire. Notes capture the conversation; decision intelligence concludes from it.
What Metaview does well
Metaview removes a real source of friction: writing interview notes. By capturing and summarizing conversations automatically, it lets interviewers stay present with candidates instead of typing, and it produces clean, searchable documentation afterward.
For teams that lose time and consistency to manual note-taking, an AI notetaker is a genuine productivity gain and a step toward more transparent, reviewable interviews.
Where Lehire fits
Lehire is about what happens after the notes exist. It structures interview signal into scorecards tied to the competencies a role requires, produces an evidence-based 0-100 fit score, and ranks finalists side by side via the Decision Engine.
It adds an AI Interviewer for consistent structured interviews with scored results, and hiring memory that preserves the reasoning behind decisions so standards stay consistent. The aim is to move from a clean record of the conversation to a comparable, defensible conclusion about who to hire.
Using them together
A natural pairing is to use an AI notetaker to capture and summarize interviews, then bring that signal into Lehire to evaluate, score, compare, and decide. The notetaker handles documentation; Lehire handles structured judgment.
This gives interviewers both freedom from manual notes and a rigorous, evidence-based path to the final decision, rather than leaving the conclusion to whoever reads the notes.
Structured scorecards
Turn interview notes and signal into ratings tied to role competencies for comparable evaluations.
Evidence-based fit scoring
A transparent 0-100 fit score that summarizes how each candidate matches the role bar.
Candidate ranking
Rank finalists side by side via the Decision Engine on the dimensions that matter.
AI Interviewer
Run consistent structured interviews that produce scored, comparable results.
Hiring memory
Preserve the reasoning behind decisions so standards stay consistent across roles.
Decision intelligence
Move from summarized notes to a conclusion about who to hire, backed by evidence.
Metaview removes the work of taking notes. Lehire turns the resulting signal into a structured, comparable decision.
Use cases
Turn notes into decisions
Capture interviews with a notetaker, then use Lehire to score, compare, and decide on the evidence.
Standardize evaluation
Structured scorecards and a 0-100 fit score ensure every candidate is judged against the same bar.
Free interviewers and stay rigorous
Let a notetaker handle documentation while Lehire keeps the decision structured and defensible.
Notes capture the conversation. Lehire concludes it.
Add Lehire to turn interview notes into structured, comparable hiring decisions.