Skill intelligence software for India
SKILWI.ai maintains a live 20,000-skill graph for every employee in an Indian mid-market organisation — built on NCO 2015, ESCO v1.2, O*NET and NSQF — and turns every skill gap into a rupee decision: hire externally, or upskill internally.
Most Indian HRMS systems track skills the way they track addresses: a free-text field, self-declared, updated once a year by accident. By the time the data is in, the work has moved on. Skill intelligence treats the skill itself as the unit of currency — not the role, designation or band — and keeps that unit current.
What is skill intelligence?
- Skill intelligence
- The capability to map, score and act on what every employee can actually do, at the unit of the individual skill.
- Why skills, not roles?
- Job titles in India are noisy. "Software Engineer" at Infosys means different work than at Razorpay. Skills are the only stable unit of currency for workforce decisions.
- The SKILWI way
- India-native skill graph (NCO 2015 + ESCO + O*NET + NSQF), AI inference from resumes and project context, continuous self-learning from manager ratings.
How SKILWI's skill intelligence works
- Build the skill graph for every employee. Four sources at once — resume, manager rating, project assignment, certification. No need to wait for self-rating.
- Anchor to a global taxonomy. Every skill resolves to its node in NCO 2015 + ESCO v1.2 + O*NET, with NSQF crosswalks for skilled-trade context. Local job-title noise ("BD Manager", "Business Development Lead") collapses to the same skill set.
- Detect gaps live against every role. When a JD changes, gaps surface in days — not at the next appraisal cycle.
- Convert each gap to a rupee path. The Decision Engine prices hire-vs-upskill for every gap using India payroll medians, across 10 industries and 50+ roles.
Skill intelligence vs traditional HRMS skill modules
| HRMS skills module | SKILWI Skill Intelligence | |
|---|---|---|
| Source of data | Self-declared, once a year | Continuous — manager ratings, projects, resumes, certifications |
| Taxonomy | Free text or company-specific list | NCO 2015 + ESCO v1.2 + O*NET + NSQF crosswalks |
| Unit of resolution | Role or band | Individual skill |
| Decision support | None | Hire-vs-upskill in rupees |
| India fit | Adapted from US | India-native from day one |
Where it fits
Skill Intelligence is SKILWI's middle tier at ₹500 per employee per month (GST extra, billed annual). It includes the full skill graph, TNA, and the Decision Engine. The lower tier (Hiring Intelligence, ₹250 PEPM) covers AI candidate matching only. The upper tier (Org Intelligence, ₹800 PEPM) adds performance, OKRs, succession and full workforce analytics.
Related capabilities that read from the same skill graph: skill gap analysis & TNA, succession planning & career pathing, performance management, and the Workforce Intelligence OS overview.
Common questions
- How is skill intelligence different from competency management?
- Competency management is usually a static framework, refreshed annually. Skill intelligence is a living graph that updates from real signals (ratings, projects, resumes) and anchors to a global taxonomy.
- Do I need every employee to self-rate first?
- No. SKILWI bootstraps from whatever data exists. Manager ratings sharpen it over time but are not on the critical path to value.
- Does the graph work in Hindi or other Indian languages?
- The graph is anchored in NCO 2015 and ESCO, both of which are language-neutral at the skill-node level. Resumes and JDs are accepted in English; multi-language support is on the 2026 roadmap.
- How is this priced?
- ₹500 per employee per month, GST inclusive, billed annual — the Skill Intelligence tier. See full pricing.