# Why Mira

Source: https://docs.mira.day/en/docs/meet-mira/why-mira

> Keyword search matched words; semantic search matched meaning. Neither is the same as finding the right candidate. This is the problem Mira was built to solve.



Recruiting comes down to two things: volume and judgment. There are more places to look than ever, and the person who actually fits is rarely the one with the tidiest profile. Mira was built for exactly that gap.

Matching was never the same as finding [#matching-was-never-the-same-as-finding]

* **Keyword search matches words.** Boolean strings find the profiles that happen to use your terms, and miss the strong candidate who described the same work differently, or never updated their title.
* **Semantic search matches meaning.** It returns people who read as similar on paper, but "similar" is not the same as "right for this role."

Both moved search forward. Neither answers the question a recruiter actually asks: who is the right person for this job, and why?

Mira reasons its way to the right candidate [#mira-reasons-its-way-to-the-right-candidate]

Instead of matching strings or look-alikes, Mira reasons across the signals the way a seasoned recruiter would: career trajectory, the work behind a title, company context, public work. Mira weighs each candidate against your must-haves and dealbreakers, surfaces the non-obvious (like the strong engineer who never updated their job title), and brings back the people who actually fit, with the reason behind every match. The reasoning-based retrieval behind Mira's sourcing, MRE, ranks first overall on BRIGHT, a public benchmark for reasoning retrieval, as of July 2026. See [How Mira Matches Candidates](/en/docs/match-quality-and-trust/understanding-ai-matching).

You stay the one who decides [#you-stay-the-one-who-decides]

Mira is agent-first, and it scales into a team when a search is hard: Mira and the team members it brings in take on the heavy lifting of searching across multiple sources, cross-checking and evaluating the signals, and ranking by evidence. Then Mira pauses at the decisions that are yours. You set the goal and make the calls; you don't manage each step. And Mira doesn't start from a blank page: top-agency recruiting playbooks come built in as [Skills](/en/docs/tools-and-teamwork/skills).

What changes for you [#what-changes-for-you]

* **From boolean strings to plain language.** Describe a role the way you would brief a colleague; Mira does the rest.
* **From sifting to deciding.** Mira reads the volume so your time goes to judgment, not scrolling.
* **From good-looking résumés to candidate pools you can trust.** Every candidate comes with the evidence, so the pool you put forward holds up with a hiring manager.

New here? Start with [What is Mira](/en/docs/meet-mira/what-is-mira), then [How Mira Works](/en/docs/meet-mira/how-mira-works).
