About Aidetic
Aidetic is an 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 specialised data engineers and data scientists within 30 days, while their entire technical team was locked into existing client commitments.
Why Aidetic brought in Fabric
Ten specialised hires, thirty days on the clock, and a senior engineering team already at full capacity on client delivery.
Impossible timeline
- Client award required 10 data engineers and scientists
- Project start date already committed in the contract
- Missing the deadline meant losing the engagement
Zero bench bandwidth
- All senior engineers booked on client delivery
- Pulling them into hiring would slow active projects
- Traditional R1 would have taken 20+ interviews per seat
Joining-date hard filter
- Standard 60-90 day notice periods disqualified most
- Filtering on availability normally takes recruiters days
- Manual screening would have missed half the viable pool
How Fabric replaced first-round screening
Fabric ran the entire top of the funnel — availability gating, technical screening, and client-facing readiness — without touching senior engineers.
Availability-gated screening
- Only candidates with 30-day joining flagged through
- Notice period verified before any technical evaluation
- Recruiters skipped manual availability checks entirely
AI first-round on every applicant
- Role-specific technical interview per candidate
- Client-facing readiness assessed in the same session
- Scored shortlist with full reasoning per candidate
Senior leads saw only finalists
- Tech leads stayed on client delivery, not in interviews
- Final-round was the first human touchpoint for each candidate
- Sprints continued uninterrupted through the hiring drive
Fabric didn't just help us hire faster. It let us start our projects on time. Our technical team stayed focused on delivery while Fabric handled the talent pipeline.
Yadvendra KshatriCEO, Aidetic
