Case Studies

See how AI-powered, real-world coding assessments reduce candidate drop-off, stop interview cheating, and speed up technical hiring — across India, the US, and remote-first engineering teams.

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-46%
candidate drop-off at the assessment stage
faster to a confident shortlist
9 / 10
candidates finish the real-world test
1 score
for solution independence, every time
Case studies

Real hiring scenarios.
Measurable outcomes.

Twelve looks at how engineering teams across India, the US, and remote-first companies hire on genuine signal with AI-powered, real-world assessments. Open any one for the full story.

Applicant Funnel
Live
5,000 applicants → shortlist
Applied0
Started test0
Completed0
Shortlisted0
completion55% → 88%
High-volume engineering hiring

Cutting assessment drop-off in a 5,000-applicant funnel

Real-codebase tasks lifted test completion from 55% to 88% across a campus + lateral pipeline.

India · campus & lateralRead
Cheat Detection
Live
Hidden overlayblocked
Confident wrong answercaught
Pasted solutionflagged
Verified independentlypassed
Remote-first developer screening

Stopping invisible AI cheating without banning AI

Challenge Mode plus Deviation Score turned AI use into a measurable signal across a global remote pipeline.

US · remote-globalRead
Lean Team Hiring
Agent-assisted
FCEO4-person team
0senior engineers hired
18m
avg review
0
mis-hires
Lean startup, first technical hires

Hiring senior engineers with a 4-person team and no recruiter

An agentic assistant and prompt logs let founders judge thinking in minutes — seven senior hires, zero mis-hires.

Remote · seed-stageRead
One Consistent Bar
Calibrated
US panel
9:00 AM
India panel
7:30 PM
Same rubric · agreement
reviewer agreement0%
Enterprise platform team

One fair, consistent bar across two time zones

A shared rubric and iteration timeline raised reviewer agreement 38% across US and India panels.

US · India delivery centersRead
Audit Trail
Auditable
● Audit-ready
09:02Assessment started
09:14Prompt log captured
09:31Integrity score computed
09:45Decision recorded
09:46Signed off · compliance
Fintech engineering hiring

Audit-ready technical hiring for a regulated fintech

Reviewable integrity evidence made every hiring decision defensible to compliance and auditors.

India · regulatedRead
Gameplay Task
Running
58 FPS
Frame budget
0
Systems design
0
Memory use
0
Gaming studio engineering

Evaluating game engineers on real gameplay code

Real-world, domain-specific tasks predicted on-the-job performance far better than algorithm puzzles.

US · hybridRead
Bulk Vetting
At scale
0contractors vetted
● passed● flagged1 quality bar
Dev agency contractor vetting

Vetting hundreds of contractors without losing quality

Automated, AI-aware screening scaled to a global contractor pool while keeping a high quality bar.

Remote-globalRead
Fairness Audit
Balanced
Pass rate parity
Group A
0
Group B
0
Group C
0
Group D
0
Healthtech engineering hiring

Bias-resistant, auditable hiring for a healthtech team

Objective behavioral evidence reduced bias and produced clean fairness audits every cohort.

US · compliance-firstRead
Campus Access
Merit-based
Selections by college tier
0%
0%
0%
Tier-1Tier-2Tier-3
same bar · +44% tier-2/3 selects
Campus recruitment

Widening campus access without lowering the bar

Job-realistic assessments surfaced strong engineers from tier-2 and tier-3 colleges on merit.

India · tier-2 & tier-3Read
Judgment vs Trivia
Weighted
What we score for senior ICs
Trade-off reasoningweighted
Verifies AI outputweighted
Memorized syntaxignored
Raw typing speedignored
Developer-tools company

Hiring senior ICs for judgment, not trivia

Case-style tasks and judgment scoring identified senior engineers who make sound trade-offs.

Remote · senior ICRead
Staffing Speed
Placed
0days to staff (was 3 weeks)
Project team forming
Tech consulting

Staffing project teams in days, not weeks

Ranked, evidence-backed shortlists compressed staffing cycles across US and India delivery.

US · India deliveryRead
Peak Ramp
Scaling
Hires per week → peak
PEAK
3× velocityquality held
E-commerce engineering

Scaling an engineering team before peak season

High-throughput, AI-aware assessments let the team hire fast for peak without quality slipping.

India · peak-season scalingRead
Where teams use ApexHire

Built for the way
engineering teams hire.

/ 01

Reduce candidate drop-off

Real-codebase tasks feel relevant, so more candidates start and finish — protecting the top of your funnel.

/ 02

Stop AI interview cheating

Measure judgment with Challenge Mode and Deviation Score instead of fighting an unwinnable detection war.

/ 03

Shorten time-to-hire

Transparent prompt logs and ranked shortlists help teams reach confident yes/no calls in minutes, not weeks.

/ 04

Hire fairly at scale

One consistent, defensible bar across campus drives, lateral pipelines, and distributed panels.

/ 05

Screen for AI fluency

See how candidates actually use AI — the skill 71% of modern engineering roles now require.

/ 06

Protect lean teams

Automate sourcing and screening so a small team can hire seniors without a dedicated recruiter.

Ready when you are

Your next hire,
on real signal.

Spin up a real-codebase assessment with prompt logs and Deviation Score in minutes. Free for 14 days — no credit card.

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