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.
“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”? 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 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.
Magic OS integrates seamlessly with major ATS platforms including Greenhouse, Lever, Workday, and more via native integrations and API. Setup typically takes less than a day, and your existing workflows remain unchanged candidates simply receive a Magic OS interview link at the screening stage.
All interview data is encrypted in transit and at rest. We're SOC 2 Type II compliant and GDPR-ready. Interview recordings and transcripts are stored securely and only accessible to your designated hiring team members. Enterprise customers can configure data residency preferences.
Yes. Magic OS generates role-specific questions automatically from your JD, but you can review, edit, add, or replace any question before the interview goes live. You can also build question libraries for recurring roles and enforce company-specific evaluation frameworks.
Magic OS is optimized for technical roles software engineers, data scientists, DevOps, QA, and more but also supports product, design, and operations roles. The AI adapts its evaluation framework to the specific competencies required for each position.
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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