Here’s a concise list of AI- or ML-driven stock-research / prediction / algo platforms used in India, with a short description, key features, and safety notes so you can compare them quickly.

Main platforms (India)

• Streak (by Zerodha / streak.tech) — retail algo & strategy platform that lets users build, backtest and deploy rule‑based strategies (no coding required). Strong integration with Zerodha Kite; popular for scanners, backtesting and automated alerts/deployments. Useful for rule-based/systematic trading rather than purely “black‑box” ML forecasts. (help.streak.tech)

• InvestorAi (available as AI-driven smallcases on Smallcase) — AI/quant research engine that produces stock selection signals and pre-built portfolios (smallcases) using large-scale computations and models; offered as thematic/AI portfolios for Indian stocks. Useful if you want AI-curated baskets rather than building your own algos. (investorai.smallcase.com)

• Tickertape — market research platform with AI/forecast and scorecard features, stock screeners, and forecasting/score signals aimed at retail investors; integrates fundamental + technical signals in its tools. Good for screening and quick AI-driven forecasts. (indianstocksmarket.com)

• Trendlyne — analytics platform offering predictive indicators (DVM and other models), screener and alerting tools that combine fundamentals and technicals; used by traders for signals and idea generation. (indianstocksmarket.com)

• Algo / backtesting tools & broker APIs (Zerodha / Upstox etc.) — many retail traders combine broker APIs + platforms (or build their own ML models) to deploy algos. Note: Zerodha/Streak integration and changes in retail algo access have been public topics; brokers are expanding retail algo access. (zerodha.com)

Other types of AI offerings you’ll encounter

• AI-curated model portfolios / smallcases (various providers) — ready-made portfolios built using quant/ML research.
• ML/forecast features inside stock research portals (scorecards, forecast tabs, probability/return estimates).
• Subscription “signal” services and third‑party robo/advisors that claim AI forecasting.

Practical points to compare when choosing

• What the tool actually gives: signals (buy/sell), probability/score, screened lists, or executable algos/backtesting.
• Data & model transparency: does the vendor explain inputs, horizon (intraday, days, months) and backtest methodology?
• Integration with your broker (order execution) and latency (important for intraday algos).
• Costs: subscription, API / execution fees, or per‑trade charges.
• Regulatory / registration status (SEBI / research-analyst registrations matter for advisory products).
• Track record and independent reviews; beware of high-return claims and unverified backtests.

Safety & caution

• No AI model guarantees profits — markets are noisy and past performance ≠ future returns.
• Watch for scammy “guaranteed returns” AI investment schemes. There have been high-profile frauds in India where fake AI trading tools were used to dupe investors. Verify credentials, SEBI registrations, and user reviews before entrusting money. (timesofindia.indiatimes.com)
• If testing a platform, start with paper trading / small capital and verify live execution vs. backtests.

If you want, I can:

• Compare 2–3 of these platforms side‑by‑side on pricing, model types, and suitability for intraday vs. positional trading (I can fetch up‑to‑date pricing and plan details).
• Or fetch recent user reviews / regulatory status for any specific platform you name.

Sources: vendor pages and recent reporting on these tools and retail algo access in India. (help.streak.tech)