Yes. Your resume and profile data are private to your account. We never sell or share with recruiters.

Does it work for non-tech professionals?

Yes. We support marketers, analysts, MBAs, finance, ops, design, and more.

How accurate is the AI roadmap?

We use Claude Sonnet with India-specific career data. Plus, you can iterate any time.

Do I need to pay to start?

No. The full MVP is free. Pro plan launches later for advanced features.

How Pathvio builds its salary data

Our salary ranges for Indian professionals are analyst-curated from public compensation sources and shown as ranges — from the broad, self-reported market up to product-tier pay — with the sources cited and the date stamped on every figure.

They're honest, directional estimates. We'd rather tell you exactly what they are than dress them up as something they're not — so here's the real picture, including how we use AI.

Where the numbers come from

We cross-reference public, well-known India compensation sources. Each role's range is anchored to two of them so it reflects the real spread, not a single misleading midpoint.

AmbitionBox

Broad market

Self-reported salaries across thousands of Indian companies — mostly fixed CTC. This anchors the broad, everyday / service & mid-market end of each range.

levels.fyi

Product tier

Reported total compensation (incl. stock & bonus) at product companies and GCCs. This anchors the higher, product-tier end of each range.

Glassdoor India & salary guides

Cross-check

Glassdoor India plus published salary guides (e.g. Michael Page, Randstad) are used to sanity-check the anchors and catch obvious outliers.

Demand signals

Trends, not pay

For which roles & skills are rising, we draw on Naukri JobSpeak, NASSCOM, the WEF Future of Jobs report, and the Stack Overflow Developer Survey — used for direction, not salary figures.

How we build a range

Two anchors, not one number

The same role can pay 2–3× more at a product company than a service firm. So each role shows a broad-market figure and a product-tier figure — a realistic range, not a single midpoint that's wrong for almost everyone.

Cited and dated

Every range names its sources (AmbitionBox + levels.fyi) right in the product, and carries the month it was last checked. If you think a number is off, you can go check the source yourself — that's the point.

Confidence, honestly

Roles we have solid public data for are shown with confidence. For a niche or unusual title we map to the closest comparable role and say so, or mark it a rough estimate — rather than inventing a precise-looking number.

How we use AI

AI is our analyst, not an oracle

Pathvio is AI-powered — your roadmap, skill-gap analysis, and interview feedback are generated by a large language model (Claude). But we hold one hard line:

The AI never invents a fact you could check.

→Salary numbers come from the public sources above — not the model.
→Skill gaps, roadmaps and interview feedback are the AI reasoning over your own resume and profile plus real market references — grounded in your data, not generic.
→Where the AI makes a judgement call, we show how confident it is and what it's based on — and we flag when we're working with limited information about you.

What we don't claim

!We are not a live crowd-sourced salary database with thousands of fresh submissions a day. Our ranges are curated estimates from public sources, refreshed periodically.

!These are not guarantees. Your real offer depends on the company, city, your interview, and timing — the range is a realistic target, not a promise.

!Broad-market and product-tier figures are not apples-to-apples: levels.fyi counts total comp (incl. equity & bonus) while AmbitionBox is mostly fixed CTC, so part of the gap is what's being counted.

!We don't claim precision we don't have. For thin or niche roles we say the data is limited rather than showing a confident-looking number.

What moves your real number

•Company tier — a service firm, a funded startup, a GCC, and a FAANG/unicorn can pay very differently for the same title.

•City — Bangalore, Hyderabad, Pune and Gurgaon typically sit above tier-2 cities.

•Equity & bonus — total comp at companies with significant stock can be well above the fixed-CTC figure.

•How you interview and negotiate — often the single biggest swing on offer day.

How current is this?

Every salary range carries the month it was last checked against its sources (currently Jun 2026). We re-verify the anchors periodically rather than on a fixed daily cycle. Demand and hiring-trend signals (via Naukri JobSpeak and similar) update monthly. If you spot a figure that looks wrong, tell us — we'd rather fix it than defend it.

Spotted something off?

If a number looks wrong, you have compensation data to contribute, or you want to collaborate on research, reach out — accuracy matters more to us than looking polished.