Context
Sigmoid Analytics is a high-growth data & AI firm servicing clients globally across data engineering, machine learning, and cloud analytics. With over 500 employees and surging demand, Sigmoid’s recruiting team — roughly 24 strong — processed over 2,000 candidate applications monthly. For technical and niche roles, the traditional pipeline couldn’t keep pace.
The Challenge
Even with robust hiring processes, Sigmoid struggled with:
Long timelines for technical hiring (30–45 days)
Low yield: needing many candidates per hire (1:8 ratio)
Scheduling complexity across regions
Candidate drop-out through long, opaque processes
They needed a system that could scale intelligence, not just activity, in tech hiring.
The Solution
We delivered an integrated Agentic AI setup that plugged into Sigmoid’s workflow, enhancing rather than replacing:
AI Skills Screening Agent evaluated resumes and profiles for technical fit before any human touch.
Proactive Sourcing Agent searched passive talent across LinkedIn, GitHub, and niche communities.
Scheduling Agent orchestrated interview slots across time zones, minimizing coordination lag.
Interview Agent + Psychometrics conducted structured technical + behavioral interviews, evaluated candidates on multiple axes, and produced combined scorecards for rational comparison.
With human oversight at each juncture, decision-makers received candidate profiles enriched by automated insight.
Deeper Insights
Intelligence over volume. Better screening meant fewer wasted interviews and more predictive candidates.
Balanced profiles drive confidence. Combining domain, behavioral, and psychometric insights gives hiring teams clarity.
Sensible automation wins minds. Agents must augment, not shadow human judgment.
Communication keeps candidates in the loop. Transparency reduced drop-offs and improved employer branding.
Outcomes
Head of Talent Acquisition
