ASTRA X / TALENT INTELLIGENCE
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EXECUTIVE OVERVIEW
Discover Talent. Enable Real Impact.
AI-driven intelligence to connect people, skills and opportunities for a stronger, more equitable future.
Active Candidates
100,001
verified Verified Dataset
Open Opportunities
24
Active Hiring Requisitions
Match Success Rate
88%
Deterministic + LLM Hybrid
Unique Skills Mapped
8,420
Standardized TaxonomySkill Demand vs. Talent Supply
Core competencies required in requisitions versus market candidate availability.
Demand
Supply
Python & MLOps Architecture
Gap: 23%
DEMAND
88%
SUPPLY
65%
FastAPI & Distributed Microservices
Balanced (-4%)
DEMAND
76%
SUPPLY
72%
PyTorch & Deep Learning Systems
High Scarcity (-34%)
DEMAND
82%
SUPPLY
48%
Cloud (AWS/GCP) & Docker/K8s
Healthy (-2%)
DEMAND
70%
SUPPLY
68%
SOURCE: REAL-TIME CANDIDATE DATASET & REQUISITIONS
Full Skill Gap Analysis →
Talent Experience Bands
100k Cohort
Early Career (0–3 Years)
34,120 candidates (34%)
Mid Professional (3–7 Years)
42,880 candidates (43%)
Senior Specialist (7–12 Years)
16,500 candidates (16%)
Staff / Principal (12+ Years)
6,501 candidates (7%)
Active Job Requisitions
Requisitions matched against candidate profiles via the 6-factor deterministic engine.
| Job Role & Department | Priority | Top Match | Core Skill Signals | Actions |
|---|---|---|---|---|
| sync Loading active requisitions from PostgreSQL... | ||||