About

We started NiveshLens because Indian mutual-fund analytics deserved better.

An analytics and diagnostics layer for serious investors — built on the same public AMFI/NAV data the industry uses, but freed from the broker-commission incentive that shapes everything else you read. We help you understand your funds with data; we don't tell you what to buy.

Founder note

I’m [FOUNDER NAME]. I spent years inside Indian asset managers and broker-dealers watching well-meaning investors make portfolio decisions on the back of one-year rankings and star ratings. The numbers were always public. The interpretation was always missing.

NiveshLens is the analytics tool I wished existed when my parents wanted to understand the SIPs they already held. A single, daily-refreshed percentile per scheme. A clear label — strong, steady, slipping, weak. A one-page picture of what the data says. No tickers I haven’t verified, no funds I’ve been paid to mention. We describe; we don’t recommend.

We are an independent analytics product, not a distributor and not an adviser. We are not registered with SEBI as an Investment Adviser or Research Analyst, and every page on the site is information and analytics only — never personalised advice. For the full picture, see our compliance page.

— [FOUNDER NAME]

Principles

How we decide what to build.

Public weights, not black boxes

Every number you see on NiveshLens is derived from a published formula. If the methodology page can't explain it, it doesn't ship.

Users pay, not AMCs

We don't take distribution commissions, we don't sell leads, we don't surface 'sponsored' funds. Your subscription is our entire revenue.

Data over dashboards

A great analytics tool helps you understand your funds with data — past returns, peer rankings, look-through holdings. We obsess over clarity, not the prettiness of a portfolio chart.

Team

A small group that ships every week.

[FOUNDER NAME]
Founder & Principal Officer

Twenty years of designing investment products at AMCs and broker-dealers. Quant by training; focused on transparent, public-data analytics.

[TEAM MEMBER 2]
Engineering

Builds the data pipeline behind the FundScore — NAV ingestion, factor models, the daily rank job.

[TEAM MEMBER 3]
Research

Backtests, factor research and the Elite Lens notes. Writes the methodology you can audit.

[TEAM MEMBER 4]
Design & Product

Translates spreadsheets into screens. Cares about the rhythm of a chart axis.

Press & backers

We’ll list press coverage and partners here as they happen.

Coming soon
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About · NiveshLens