Magic OS handles the entire first stage of technical evaluation autonomously. Every candidate is evaluated, scored, recorded, and fraud-verified before your team speaks to a single person.
TestCrew is a global software testing and quality consultancy. With expertise in automation, testing, performance engineering, and digital transformation, they enable organizations to build rock-solid, scalable digital products.
Global expansion exposed TestCrew's hiring flaw: subjective evaluations, inconsistent standards, and slow review cycles threatened quality at scale.
Einstellen.AI replaced guesswork with AI-powered interview intelligence engine, delivering benchmarked, data-backed hiring decisions in minutes, not hours.
“Einstellen.AI has transformed how we evaluate technical talent. We now make hiring decisions based on rigorous insights rather than subjective feedback. It has profoundly improved both speed and confidence in our hiring process.”
The agency fee shows up on your P&L. The hundreds of senior engineering hours burned on screening? The A-players who accepted competitor offers while your team “deliberated”? The bad hires who made it through subjective interviews? Those costs stay invisible. Until now.
| Cost Item | Without Magic OS | With Magic OS |
|---|---|---|
| Recruiter / agency fees (15% of salary) | ₹45,00,000 | ₹0 |
| Senior engineer time (5 hrs/week × 50 wks) | ₹24,00,000 | ₹0 |
| ATS + interview platform licenses | ₹8,00,000 | ₹0 |
| Bad hire cost (avg 2 per 100) | ₹16,00,000 | ₹0 |
| Magic OS AI interviews (1,000 × ₹249) | — | ₹2,49,000 |
| Total annual hiring cost (100 hires/year) | ₹93,00,000 | ₹2,49,000 |
On 100 hires per year with Magic OS
Your Principal Engineers burning 5 hours weekly screening unqualified candidates. At ₹8,000/hour loaded cost, that's ₹2L+ monthly per open role. Your most valuable technical capacity wasted on repetitive evaluation work.
Identical roles. Different interviewers. Completely different standards. One candidate faces deep technical assessment. Another gets surface-level chat. Subjective decisions lead to expensive mistakes: 2–3× annual salary per bad hire.
The average enterprise takes 42 days to fill a technical role. Every day it remains open, work stalls. And the best candidates with multiple offers have already accepted elsewhere by day 14.
MAGIC OS automates entire first stage hiring process.
Your team only sees pre-evaluated candidates.
Create or upload your job description. MAGIC OS analyzes it and configures a comprehensive, role-specific interview in minutes.
Upload candidate profiles against the JD. MAGIC OS assigns personalized AI interviews, scheduled automatically or on demand.
Each candidate completes their AI video interview. Unqualified candidates eliminated quickly. Strong performers assessed thoroughly.
Complete MAGIC Report delivered immediately with competency scores, full recording, transcript, fraud detection. Only qualified candidates reach your team.
Zero disruption. It slots into your existing stack within 24 hours, not a quarter-long IT project. Magic OS connects natively to the platforms your recruiters already live in. Candidates receive a Magic OS interview link at the screening stage — nothing changes for your team except the quality of who shows up in your pipeline. • Native integrations with Greenhouse, Lever, Workday, and major ATS platforms • Bi-directional sync — scores, transcripts, and MAGIC Reports flow directly into candidate records • Existing recruiter workflows stay intact; no retraining required
Enterprise-grade security isn't an add-on here — it's the foundation everything else is built on. Every piece of interview data is encrypted in transit and at rest. Access is strictly role-based: only the hiring team members you designate can view recordings or transcripts. No data is ever used to train external models. • SOC 2 Type II certified, independently audited security controls • GDPR-ready with full data subject request support • End-to-end encryption for all interview recordings and transcripts • Configurable data residency — choose where your data lives • Role-based access controls with full audit logs
Fully. Magic OS starts with intelligence, but your team has complete editorial control. The AI reads your JD and generates role-specific questions instantly. From there, you own the interview. Review, rewrite, add, or remove any question before a single candidate sees it. Build question libraries for recurring roles and enforce your own evaluation frameworks — not a generic rubric. • AI auto-generates role-specific questions directly from your JD • Full edit access — add, remove, or rewrite any question before going live • Reusable question libraries for high-volume or recurring roles • Enforce company-specific competency frameworks and scoring rubrics • Adaptive follow-up questions triggered by candidate responses
If you're hiring for it, Magic OS can evaluate it with the depth each role actually demands. Built originally for deep technical assessment, Magic OS has expanded to cover the full enterprise org chart. The AI adapts its evaluation framework to the competencies that matter for each specific position — not a one-size-fits-all questionnaire. Each evaluation is built around the competencies unique to that role. A Staff Engineer interview looks nothing like a Product Manager interview — because they shouldn't.
No procurement process. No six-month evaluation. Request a demo, see the MAGIC Report live, and deploy within a week.
Engineers Placed Through Magic OS
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