We collect
Fragmented data, cleaned into one dashboard.
PRISM links filings, electricity use, hiring and other alternative data to Indian listed companies, so you see what's changing, and why, before results land.
Illustrative example
Fragmented data, cleaned into one dashboard.
Every signal mapped to the company it moves.
Proprietary indicators on top of the raw data.
Ask anything, connect signals, test your ideas.
“Buy when two or more promoters buy their own shares in the same week.”
Insider filings“Buy NIFTY 500 companies after net profit grows more than 20%.”
Quarterly results“Buy when electricity consumption at a company's plants starts climbing.”
Electricity data“Buy when mutual funds increase their stake in a company for two consecutive quarters.”
Fund holdingsTested on Indian market history using only what was known at the time, then followed on paper.
Describe what to watch. PRISM builds the monitor.
Know the moment your monitor shifts.
All your monitors, every morning.
Investing is evolving.
We're building what comes next.
Two ways in, on the same engine. Ask Spectra, PRISM's AI analyst, like you'd ask a person: it analyses the data, builds models and hands back a cited answer. Or dig into the dashboard, a full markets workspace with screeners, watchlists, sector heatmaps and proprietary indices.
Yes. Describe what you want to watch in plain English, from a whole thesis to a single company. PRISM picks the data, checks it on a schedule, alerts you when the picture shifts and sums it up in a morning digest.
Not today. You can turn an idea into a strategy, test it on Indian market history and follow it with paper trading, but no real money moves yet. We're working towards it, and hopefully that reality isn't too far away.
You don't have to: you can check. Every answer links back to the filing, dataset or document it came from, and when data is thin or stale, PRISM says so.
Anyone investing in Indian markets. If you're just starting out, ask in plain English and get a clear answer with its sources. If you've done this for years, go deep with screeners, charting tools and the raw data. Retail investors and institutional teams work off the same engine, at the depth each needs.
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