Placement Intelligence Platform · Built for Indian Institutions

From Skill Gaps
to Placements —
measured, not guessed.

Know which students will get placed — and why.

Leapath is the structured leap from education to employability. We give colleges, TPOs, and students a shared, data-backed view of placement readiness — so you know exactly where each student stands, what gap is in the way, and what it takes to close it before recruiters arrive on campus.

No obligation · No sales pitch · Reply within 1 business day

One shared view of placement readiness.

The TPO dashboard, the student profile, the recruiter view — every surface speaks the same data, so decisions stay grounded in the same evidence.

A student reviewing their placement readiness dashboard on Leapath — readiness score, role-fit breakdown, and priority skill gaps.
01 Readiness score — a single, calibrated number students and TPOs can both act on.
02 Role-fit breakdown — which roles a student is actually competitive for, by skill match.
03 Priority gaps — what to fix first, ranked by impact on placement probability.
Built around placement-readiness research. Models calibrated against how Indian institutions actually run their placement cells.
Designed using insights from institutional workflows. Built with TPOs in the room — not retrofitted from a generic SaaS template.
Focused on improving employability visibility. Surfaces signals colleges already track, in a structure recruiters and students can both read.
Structured around real recruitment workflows. Shortlists, assessments, and outcomes flow through the same evidence trail.
Placement-readiness intelligence

Placement season is getting harder. Every year.

Hiring bars are climbing while cohort sizes are growing. TPOs are being asked to do more, with less time, and defend results to leadership with data they don't currently have.

Colleges that can't measure readiness early are losing top recruiters silently — and placement outcomes are no longer predictable without structured visibility.

~50%
of Indian graduates are considered employable for industry roles.
India Skills Report & NASSCOM, recent editions
rise in role-specific skill requirements over the last 5 years — especially in tech, data, and AI.
Cross-referenced from public JD analysis
14 wks
average runway between when gaps become visible and when recruitment season begins.
Most TPOs find out too late to intervene
0
structured signals most placement cells have on individual student readiness before drives begin.
Excel sheets ≠ intelligence
The institutions that move first will own a structured readiness data layer their peers don't have — and that compounds, year over year, into better placement outcomes and stronger employer relationships.

Everything a placement cell needs.
In one system.

Leapath is not a learning management system. It is a decision-making layer that turns student data into placement strategy.

Skill Gap Analysis

Maps each student’s current proficiency against 50+ role taxonomies. Identifies the precise gaps — not vague categories, but specific skills — that stand between a student and their target role.

Role Matching

Matches students to the roles they are most ready for, ranked by a weighted readiness score. Includes both their stated preference and algorithmically recommended alternatives based on their actual skill profile.

Placement Readiness Score

A single composite score — updated after every assessment — that reflects each student’s readiness across technical skills, project quality, and domain knowledge. Reliable enough to show employers.

TPO Analytics

Cohort-level dashboards that surface the patterns individual student reports hide. Which departments underperform? Which roles have the highest demand-readiness mismatch? Act before placements suffer.

50+
Job role taxonomies mapped
150+
Skills tracked across domains
15 min
Average assessment time per student
Real-time
Dashboard updates post-assessment

Five steps from assessment to placement

Each step produces structured data. No guesswork. No anecdotal reporting.

Step 01

Student Assessment

Students complete a structured, role-aware assessment tailored to employability evaluation — covering technical skills, domain knowledge, and project quality.

1
Student Assessment
Step 02

Skill Mapping

Responses are mapped against a 150-skill taxonomy. Each skill gets a proficiency score from 0 to 100, grounded in the assessment data.

2
Skill Mapping
Step 03

Role Matching

The system scores the student across every active role taxonomy. The top matches by both score and demand are surfaced for the student and TPO.

3
Role Matching
Step 04

Gap Identification

For each role, the exact skill gaps are quantified: which skills are missing, by how much, and how critical they are to that role’s hiring bar.

4
Gap Identification
Step 05

Placement Readiness

A composite readiness score is generated and persisted. The student sees their trajectory. The TPO sees the cohort. The institution makes evidence-based decisions.

5
Placement Readiness

Without Leapath vs. with Leapath

Same students. Same recruiters. Same calendar. Different operating model.

Dimension
Without Leapath
With Leapath
Student readiness
Estimated from CGPA and gut feel
Quantified per student, per role
Skill gap visibility
Surfaces during interviews — too late
Surfaces 12–14 weeks before drives
Intervention
Generic training for the whole batch
Targeted, role-aware, per cohort
TPO workload
Excel sheets, manual tracking, follow-ups
Single dashboard, structured signals
Reporting to leadership
End-of-season placement % only
Live readiness, gaps, projections
Year-on-year improvement
Resets every batch
Compounds — every cohort sharpens the model
Accountability
No accountability — outcomes attributed to luck
Measurable placement outcomes, owned and defensible

Unlike generic placement tools, Leapath evaluates students against structured role-based benchmarks — not vanity metrics or generic test scores.

Your entire cohort.
One view.

Stop receiving placement data after the fact. Leapath gives TPOs a live dashboard that shows student readiness before the recruitment season — with enough lead time to intervene.

  • Track readiness scores for every student in real time, filtered by department, year, or target role.
  • Identify which students are at risk of missing the shortlisting bar — weeks before companies arrive.
  • Benchmark your cohort against national role requirements, not just internal history.
  • Generate a one-page placement readiness report for your principal or management committee.
  • Upload student data via CSV — the system scores and sorts automatically.
Request a TPO Demo
A
Aditya Kumar
B.Tech CSE · 7th Semester
Score: 84
Top Role Matches
Software Engineer — Backend 91%
Data Engineer 78%
ML Engineer 62%
Top Skill Gaps
System Design Gap: 28
Distributed Systems Gap: 14

Know exactly where you stand. And what to do next.

Most students enter placement season without a clear picture of their own readiness. Leapath changes that — with a personalised score, role match ranking, and a learning path that closes the gap before companies arrive.

  • Understand your readiness score for every role you care about — not just your target.
  • See the precise skills holding you back, ranked by how much they affect your score.
  • Get a curated learning path — specific courses for your specific gaps, not a generic syllabus.
  • Track your score progression across semesters. See what moved the needle.
See How It Works

Hire from cohorts
that have already been measured.

Skip the unstructured applicant pile. Leapath gives recruiters access to a calibrated talent pool — every candidate scored on a standardised readiness framework, every profile backed by assessment data your team can trust.

  • Filter candidates by readiness score, role-fit, department, and graduation year.
  • View structured student profiles with skill scores, project portfolios, and assessment history.
  • Run virtual or campus drives with shortlisting tools built into the platform.
  • Post role requirements directly to partner institutions and receive pre-screened applicants.
  • Co-design role taxonomies with our team to align hiring criteria with your specific stack.
Talk to our recruiter team

Personalized pathways. Built around each student's goals.

Leapath does not recommend generic learning tracks. Every roadmap is generated using assessment signals, placement-readiness patterns, student ambition, and role-specific skill gaps — helping students focus on the exact areas that move them closer to their target career path.

Career Direction 01

Goal-Aligned Learning Paths

Students receive personalized progression pathways based on their target role, future ambition, and current readiness level — whether they aim for product companies, higher studies, startups, government roles, or core industries.

Skill Intelligence 02

Skill Gap Improvement Tracks

Learning recommendations are mapped directly against identified weaknesses surfaced during assessment — helping students strengthen the exact competencies affecting employability readiness.

Domain Readiness 03

Multi-Disciplinary Career Preparation

Recommendations are not restricted to computer science. Leapath supports diverse academic and professional pathways across technology, business, healthcare, finance, design, analytics, communication, and emerging industries.

Communication 04

Interview & Professional Readiness

Students receive guidance on communication confidence, interview preparedness, collaboration skills, presentation ability, and professional visibility — all mapped to recruiter expectations.

Progress Tracking 05

Continuous Readiness Monitoring

As students improve, their readiness trajectory evolves dynamically. Leapath continuously recalibrates recommendations based on updated assessments, learning progress, and institutional benchmarks.

Institution Support 06

Institution-Level Intervention Visibility

TPOs and institutions gain visibility into where students are struggling collectively — enabling targeted interventions, department-level support strategies, and evidence-based placement planning.

Every recommendation pathway evolves with student progress, changing recruiter expectations, and institution-specific placement outcomes — ensuring guidance remains practical, personalized, and outcome-oriented.

The data layer that makes placements predictable.

Aggregate signals that no individual student report can surface — and turn them into institutional decisions.

Avg. Readiness
72.4
↑ 8.1 vs last sem
At-Risk Students
18
Action pending
Top Role Demand
SWE Backend
43% of targets
Skill Distribution — CSE 2025
Strong Developing Gap
Data Structures & Algorithms200 students
System Design200 students
SQL & Databases200 students
Machine Learning200 students
Cloud & DevOps200 students
Communication & Presentation200 students
Risk Segmentation
Cohort placement readiness distribution
Placement Ready 64%
Developing 27%
At Risk 9%
⚠ Intervention Recommended
18 students have critical gaps in System Design — a required skill for 43% of this year's target roles. A focused workshop before October could move 12 of them to Developing.
✓ Positive Signal
Readiness in DSA improved 14 points semester-on-semester — highest cohort gain in 3 years. Attributable to the restructured lab curriculum introduced in June.

A purpose-built intelligence layer — not a generic LMS.

Leapath is built around four systems working together. Each one is something institutions can't easily assemble in-house.

Continuously evolving role-skill models, aligned with industry hiring patterns — every cohort sharpens the next.

Skill Taxonomy

A 150-skill graph mapped to active hiring roles, continuously refreshed against live job descriptions and recruiter signals — never a static list.

Adaptive Assessment Engine

Role-aware questions that adapt to year of study and target role. Produces structured scores instead of pass/fail labels.

Readiness Model

Composite scoring across skills, role-fit, and trajectory. The single number a TPO can defend to a principal or recruiter.

Institutional Dashboard

Cohort-level visibility, at-risk detection, and intervention tracking — engineered for placement cells, not data analysts.

Why this is hard to replicate: The taxonomy and readiness model improve every cohort that runs through them. Institutions that adopt early build a structured assessment history their peers cannot retroactively recreate.

Research-backed insights for institutions, TPOs, and student success teams.

Leapath is being shaped around placement-readiness observations, recruiter expectations, institutional workflows, and employability patterns seen across modern higher education ecosystems.

Explore insights →
Recruitment Signals

What recruiters consistently prioritize beyond academic scores

Ongoing industry observations and employability analysis

Skill Intelligence

The most common readiness gaps institutions struggle to identify early

Assessment patterns and institutional readiness signals

Institutional Workflows

How data visibility can improve placement intervention strategies

Placement workflow observations and operational insights

Future Readiness

Emerging career trajectories students are increasingly preparing for

Career trend observations and evolving recruiter expectations

Designed around how placement actually happens.

Leapath isn't a generic SaaS retrofitted for education. Every surface — the readiness score, the gap map, the recruiter view — was shaped through conversations with TPOs, faculty, and placed students.

Research foundations · Built with placement cells, not for them
Three principles every screen is built around.

Most placement tools start with a database and bolt on a UI. Leapath started in TPO offices and faculty rooms — watching how readiness gets discussed, where Excel sheets fall apart, and which signals actually predict who lands a role. The platform is the structured form of that workflow.

01
One readiness score that students, TPOs, and recruiters can all act on — same evidence, three perspectives.
02
Specific gaps, not vague categories — every score traces back to the exact skill that needs work.
03
Visibility before recruitment season starts — not a dashboard you check after offers are made.

Built around placement-readiness research. Models calibrated against how Indian institutions actually run their placement cells, not generic global templates.

Research-led

Designed using insights from institutional placement workflows. TPOs are involved in the room when each new feature is shaped — not surveyed about it after launch.

Co-designed

Focused on improving employability visibility. Surfaces the signals colleges already track, in a structure recruiters and students can both read.

Visibility-first

How institutions onboard Leapath

A predictable rollout. No long IT projects. Most institutions are running their first cohort within 3–4 weeks.

Discovery Call

A 30-minute conversation with your TPO and one decision-maker. We map your placement goals, departments, and current workflows.

Week 1 · 30 min

Pilot Cohort Setup

We configure your taxonomy, target roles, and assessment flow. You upload student data via a secure template — no IT integration needed.

Week 2 · 3–5 days

Run First Assessment

Students complete the assessment in 15 minutes. Your TPO dashboard populates with cohort readiness, gaps, and at-risk flags in real time.

Week 3 · live in 48 hrs

Plan & Intervene

Review findings with our team. Define interventions, training tracks, or recruiter conversations grounded in your actual cohort data.

Week 4 · ongoing

See your cohort's readiness — in your next placement season.

A 30-minute walkthrough using your department's profile and sample data. Zero generic demos. Zero sales pitch. You'll leave with a concrete view of what running Leapath would look like for your institution.

In your demo, you'll see:
01
Sample student analysis

A real readiness profile — skill scores, role-fit, gap quantification.

02
Role matching output

How a student is scored against active hiring roles, with critical gap deltas.

03
Cohort dashboard

The live TPO view: at-risk segmentation, intervention tracking, leadership-ready reporting.

Tell us about your institution

We respond within one business day. No sales sequence. No newsletter signup.

Used by institutions preparing students for top-tier recruiters.

Your data stays with your institution Used only to schedule this demo Reply within 1 business day Run by the founding team — not a BDR