We picked Kula as the interview-intelligence option for teams that want the capability built into their ATS rather than bolted on: a native AI notetaker, auto-filled scorecards, and cross-interview analysis living inside the candidate profile.
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PROS
- Native AI notetaker records, summarizes, and auto-fills scorecards inside the candidate profile, no separate tool to integrate.
- Transcripts and notes live in the ATS, so you can compare a candidate across every interviewer in one place.
- Customizable scorecards with structured, AI-assisted feedback to reduce bias in evaluations.
- Bundled into a full ATS with flat headcount-based pricing, removing per-seat interview-intelligence fees.
- AI scoring stack-ranks applicants against your criteria and shows the reasoning behind each score.
CONS
- Less depth on interviewer coaching and analytics than dedicated tools like Metaview or BrightHire.
- Customization for reports, candidate templates, and filtering options still feels somewhat limited for users, but it’s something the team is continuously addressing.
- As a newer platform, it has occasional bugs and minor performance issues.

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Most tools in this guide plug interview intelligence into your ATS. Kula comes at it from the opposite direction: it is a full applicant tracking system with a native AI notetaker, a distinction worth understanding before you shortlist it here. Founded in 2021 by an early Stripe and Uber recruiter, it started as a sourcing tool and relaunched 18 months ago as an all-in-one AI-native ATS.
On the interview layer, Kula sits firmly at the AI-assisted end of the spectrum. The notetaker joins each live interview, transcribes it, writes a summary, and auto-fills a customizable scorecard inside the candidate profile, so the conversation stays human while the admin disappears. Because transcripts live in the ATS rather than a separate tool, you can query across every interviewer a candidate met and compare notes in one place. The team at health benefits platform Plum told Kula their hiring managers were "fascinated" by it. As one analyst framed it to us, Kula has essentially brought a BrightHire-style product into the ATS itself.
For teams already wanting a new ATS, that is the appeal: no second tool to sync or pay for. The tradeoff is focus. A dedicated platform like Metaview or BrightHire goes deeper on interviewer coaching and analytics, and Kula's reporting is a common user complaint. It is also a young product with occasional bugs. If you want interview intelligence without adopting a new ATS, a standalone tool fits better; if you want both in one system, Kula makes a strong case.


Kula

Kula

BrightHire

BrightHire

Metaview

Metaview

Humanly

Humanly

Braintrust

Braintrust
Kula serves 220+ companies, including DeepScribe, Healthie, Plum, Dapper Labs, Vidyard, and CleverTap.
Kula uses all-inclusive, headcount-based annual pricing with every feature included and no per-seat fees or usage credits. Unlike per-seat interview intelligence tools, you do not pay separately for the notetaker. Custom pricing applies above ~100 employees, and a free trial is available after a demo.
Kula is best for SMB and mid-market teams that want AI-assisted interview intelligence as part of a full ATS, rather than buying and integrating a standalone tool.
Kula launched in 2021 as a sourcing and outreach automation tool and, 18 months ago, relaunched as a full AI-native ATS. The interview intelligence layer, including the AI notetaker, auto-filled scorecards, and interview summaries, arrived as part of that shift, alongside AI scoring, conversational analytics, built-in scheduling, and a Kula API and MCP for AI agents.
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