Recruiting automation software
Loam automates the repetitive work around candidate review, sourcing, and pipeline updates while keeping evidence visible and every hiring decision with your team.
Built core workflow systems at two seed-stage companies. Strong evidence of product ownership and working through ambiguity.
The workflow
Loam reduces the manual steps that consume a small hiring team's time while preserving the context needed for good judgment.
Turn varied files into consistent profiles with work history, education, links, skills, and a concise candidate brief.
Describe the evidence that matters for a role and use consistent AI-assisted signals to prioritize review.
Describe the people you want to meet and search for relevant prospects without constructing brittle query syntax.
Query the pipeline, add notes, and move candidates from Loam chat or an MCP-compatible assistant.
Loam summarizes the information a reviewer would otherwise extract manually. The underlying resume and application remain available, so the brief accelerates judgment instead of replacing it.
Generic scoring models flatten the context that makes early hires important. Loam lets the team define specific signals in plain language and review how each candidate matches them.
Loam exposes hiring workflows through chat and MCP, so approved AI tools can answer pipeline questions and perform scoped actions without copying candidate context between systems.
Who it is for
The biggest gains come when a founder or small hiring team has real volume but no dedicated person to maintain the process.
Questions
Loam can structure resumes, produce candidate briefs, evaluate user-defined signals, support natural-language sourcing, answer pipeline questions, and carry out scoped workflow updates. Interviews and hiring decisions remain human responsibilities.
Not always. An ATS stores and organizes the hiring process; recruiting automation reduces repetitive work within that process. Loam combines both, so automation operates on the same candidate record the team reviews.
Loam presents summaries and signals as decision support, keeps source information accessible, and requires people to make hiring decisions. Teams should review AI outputs rather than treating them as final judgments.
Yes. Loam provides an MCP server for compatible tools, including Claude and Cursor, with scoped access to authorized recruiting workflows.
Start with the next role
Set up Loam, publish one job, and give the team a shared place to make the next decision.
Start for free