AI-native hiring software

Review every resume.
Shortlist with evidence.

Organic Hire reads every applicant against the role, surfaces the strongest signals and concerns, and gives your team a shortlist it can actually defend.

A complete ATS is included. AI recommends; people decide.

See the whole field before you choose the shortlist.

AI screening

Every applicant, reviewed against the same role.

Backend Engineer / Candidate review24 applicants
Candidate 024

Strong backend fit with clear production evidence.

92Role fit
Evaluation summary

Meets the core API, cloud, and database requirements. Ownership is well supported; leadership scope is worth clarifying in interview.

Strong signals

Production APIs

AWS ownership

PostgreSQL at scale

Look closer

Team leadership scope

On-call ownership

AI recommends. Your team decides.
Native ATS included

Keep the shortlist where the hiring happens.

Publish the job, collect applications, review candidates, and move the hiring process forward in the same workspace.

Backend EngineerHiring pipeline
Applied 24Review 8Interview 3Offer 1
C
Candidate 024Moved to Review by Maya
92 fit
Team note

Strong API ownership. Ask about leadership scope in the first interview.

Today, 10:42

Application reviewed and moved from Applied to Review.

Publish with your brand

Create the role and launch a branded job page with your own company identity.

Collect every application

Use a custom application form or upload existing candidates in bulk.

Review together

Assign owners, leave stage-aware notes, and keep decisions visible.

Move with context

Advance, disqualify, or hire without losing the candidate history.

Deep research

Shortlisted someone? Go beyond the resume.

Run a focused investigation only when your team wants it. Each report uses one deep research credit and returns sources, evidence, and role relevance.

1 report = 1 credit
GitHub projects

Understand what they built.

Inspect candidate-provided repositories and translate the implementation into hiring evidence your team can use.

Report includes
  • Architecture and implementation summary
  • Evidence mapped to your job criteria
  • Questions worth taking into interview
Sources: repositories, commits, documentation1 credit
Research papers

Verify the claim and relevance.

Locate the paper, verify the candidate's connection, and explain what the work means for the role.

Report includes
  • Publication and authorship verification
  • Plain-language contribution summary
  • Role relevance and follow-up questions
Sources: publishers, indexes, cited materials1 credit
How it works

One clear path from role to shortlist.

Consistent review, visible evidence, and a human decision at the end.

01

Define what good looks like

Add required, preferred, and nice-to-have criteria to the role.

02

Review every resume consistently

Collect applications or upload PDF and DOCX resumes in bulk.

03

See the evidence

Compare strengths, concerns, and requirement-level reasoning instead of a black-box score.

04

Make the final call

Add team context and move candidates forward only when your team decides.

Built for responsible hiring

Hiring data handled with care.

Clear safeguards around the information and decisions that matter most.

No training on your data

Your resumes and hiring records are not used to train models.

Encrypted and scoped

Protected storage with organization and role-based access.

Traceable history

Notes, stage changes, and administrative actions remain visible.

Human decisions

AI recommends, but your team controls every hiring outcome.

Common questions

Before the first upload.

Does Organic Hire automatically reject candidates?

No. Organic Hire recommends, ranks, and explains. A person on your team makes every stage movement, rejection, and hiring decision.

Can we use it as our main ATS?

Yes. Jobs, applications, pipeline stages, candidate profiles, notes, ownership, and hiring history are included in the same workspace.

Can we upload resumes in bulk?

Yes. The screening pipeline is designed for bulk resume intake, including PDF and DOCX files, with per-item processing status.

Can the team understand why someone ranked highly?

Yes. Every result includes evidence, strengths, lookout points, and a requirement-level breakdown rather than only a number.

What are deep research credits used for?

Use them on shortlisted candidates to investigate supplied GitHub projects or verify claimed research papers against the role. A research run only starts when your team requests it.

Organic Hire

Give every resume a fair review. Give your team a clearer shortlist.

Start hiring now

One workspace. AI-assisted review. Human decisions.