Make your hiring as rigorous as your research.

We design and run hiring systems for research organizations and deep tech startups.

01 / The problem

The tragedy of context.

Hiring well requires context and judgment — an understanding of what "good" looks like in your domain. But that understanding lives in the heads of people with high opportunity costs.

Technical experts
Don't scale.
Their time is exactly the resource you're trying to free up. More of it isn't the answer.
Recruiters
Hit and miss.
Lower context than your team, plus inconsistent judgment — different recruiters reach different conclusions on the same candidate.
AI tools
Lack judgment.
Even given your full context, they apply rules consistently but can't recognize when a rule shouldn't apply. The unconventional candidates that need a human eye slip past.

We design the handoffs that turn these three components into a reliable system — each strength reaching where the others can't.

02 / Our approach

The engagement.

  1. 1

    Extract

    Learn what good looks like through structured conversations with your team.

  2. 2

    Encode

    Translate that into an explicit, reviewable framework — archetypes, criteria, rubrics your team can read and react to.

  3. 3

    Calibrate

    Our calibration tool measures inter-rater reliability and iteratively improves our calibration to match your team's judgment.

  4. 4

    Operate

    Operate the pipeline at scale, making improvements iteratively based on feedback from your team.

  5. 5

    Tighten

    Track outcomes each cohort. Refine criteria based on what actually predicted strong hires. The system gets sharper, not stale.

Clients

Anthropic
METR
iCapital
Solid

Contact

For inquiries: vaishnav@cloutcareers.com