Investing should be clear, data-driven, and within everyone's reach.

Most retail investors in India either pay for research they can't fully evaluate, or make decisions on tips and headlines with no way to check the underlying numbers. We wanted a third option: a workspace where the math is real, shown in the open, and where AI helps you understand a stock instead of just telling you what to do with it.

Every quantitative output in InvestSense — indicators, forecasts, risk metrics — is computed by deterministic code you can inspect, not guessed by a language model. The AI layer sits on top of that math to explain it in plain language, debate the bull and bear case, and answer your questions — never the other way around.

• A live tracker for 2,354+ NSE equities and 328+ ETFs, with charts, fundamentals, and sector comparisons.
• A quantitative engine that runs real technical indicators and an ensemble price forecast with walk-forward validated confidence bands — not a black box.
• A multi-agent research pipeline: specialist AI analysts, an adversarial bull/bear debate, and a moderator, all grounded in the deterministic numbers above them.
• A portfolio tracker for the stocks you already own — average cost, live P&L, and sector allocation, saved on your own device.
• An AI copilot you can ask about any covered stock, a concept, or your portfolio.

• Not a broker.InvestSense never places a trade or moves money. When you're ready to buy or sell, we point you to a SEBI-registered broker — your money and your orders stay with them, always.
• Not a SEBI-registered investment adviser.Nothing in this product is personalised investment advice. It's research and education software; the decisions, and the responsibility for them, are yours.
• Not a guarantee of anything. Forecasts are statistical estimates with honestly-reported uncertainty, not predictions. Past performance, in this app or anywhere else, does not indicate future results.

Read the full disclaimer for the complete picture.

InvestSense is built and maintained by a small, India-focused team. We use the product ourselves, which is why the deterministic-math-first, AI-explains-second architecture exists — it's the version of this tool we wanted for our own research.

Have a question, found a bug, or want to talk to us directly? Visit our company page.