Overview
Aidetic is a cutting-edge AI-focused IT services company in Bengaluru. When a major client awarded them a high-stakes AI project, they faced every services company's nightmare: finding 10 specialized data engineers and data scientists within 30 days, while their entire technical team was locked into existing client commitments. Their challenge? Deliver project-ready talent with very limited bandwidth for technical screening, strict 30-day joining requirements, and client-facing candidates who'd pass customer interviews on the first try.
The Challenge
- Impossible Timeline: New project required 10 data engineers and scientists within 30 days
- Limited Technical Bandwidth: All senior engineers tied up in ongoing client projects, minimal availability for first-round screening
- Immediate Availability: Only candidates who could join within 30 days were viable
"We had 30 days to staff an entire team, but our technical leads were completely booked with existing clients. We couldn't afford to take a lot of their bandwidth just for interviews."
How Fabric fit into Aidetic's Hiring Process
- Step 1: Aidetic posts urgent requirements with specific technical and availability criteria
- Step 2: Fabric's AI screens for technical competency AND 30-day joining availability
- Step 3: AI conducts first-round technical assessments, saving senior engineers from initial screening
- Step 4: Only qualified candidates proceed to final rounds with Aidetic's technical leads and client interviews
Fabric in Action - Staffing a Data Team in 30 Days
- Traditional approach would require 20+ technical interviews per position from busy senior engineers
- With Fabric, only pre-screened candidates reached senior engineers, AI handled all first-round technical screening
- All candidates were pre-screened for immediate availability and client-facing readiness

The Results
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