High-volume hiring, without the black box

From 2,000 applicants to five confident hires.

Run adaptive assessments, coding screens, take-home work, AI interviews, and panels in one explainable hiring operation.

Engineering Cohort 2026Live

Active candidates

1,174

7% ahead of plan
Aptitude
2,000
100%
Coding
800
74%
Hackathon
400
56%
AI interview
200
39%
Panel
80
22%
Operations brief

Coding completion is ahead of plan. Resolve four high-confidence integrity reviews before the next advancement window.

Projected

5.8 hires

Confidence

High

One structured journey

Every round shares context. Every decision keeps its evidence.

01

Aptitude

2,000800

02

Coding

800400

03

Hackathon

400200

04

AI interview

20080

05

Panel

805 hires

Built for technical signal

Adaptive aptitude, Monaco coding, sandbox-ready execution, structured take-homes, and role-specific interviews.

Explainable integrity

Browser, webcam, gaze, authorship, and code-similarity evidence with confidence scores and human review.

Operational clarity

Live funnel health, source quality, reviewer variance, fairness monitoring, and projected hiring outcomes.

Integrity support, not automated rejection.

The Code Challenge surfaces evidence, confidence, and context. Human reviewers resolve meaningful flags, candidates retain an appeal path, and the final decision stays with the hiring team.

Confidence-scored evidence timeline
Human review queue for material flags
Candidate consent and transparent policies
Auditable advancement and override history

Run the full workflow locally.

The demo includes hiring manager operations, all five candidate stages, server-only Groq fallback, and a production Postgres schema.

Open the workspace