Here are well-regarded AI / quant-driven stock‑recommendation and research platforms used by Indian investors, with a short note on what each does best so you can pick by your needs.

Top platforms (what they do best)

• Tickertape — AI/quant scorecards, price forecasts, portfolio score & screening; good for quick quantitative stock screening and “score”-based checks before you dig deeper. (Tickertape.in)
• Trendlyne — DVM scoring, forecaster/consensus estimates, AI screeners and AI summaries of earnings calls; strong for custom screeners and analyst‑style scorecards. (help.Trendlyne.com)
• Smallcase (including AI-driven smallcases like InvestorAi / SmartWealth.ai) — AI/quant-created baskets (smallcases) you can buy as portfolios; good if you want AI-curated, basket-based execution via brokers. (InvestorAi.Smallcase.com)
• Kuvera — goal-based recommendations with data-driven allocation and portfolio insights; useful if you want AI help for goal planning and direct mutual fund / stock allocation. (Kuvera.in)
• Algo/Backtest & Execution tools (AlgoTest / Streak / FYERS / Zerodha integrations) — let you build/backtest algo strategies or use quant models for trade signals; best for active traders who want algorithmic entry/exit rules and paper‑testing. (overview/market lists). (OneDemat.com)

Why pick one over another (quick guide)

• You want fast, quantitative stock screening + simple forecasts: Tickertape. (Tickertape.in)
• You want rich scored models, AI screener in plain English and earnings‑call summaries: Trendlyne. (help.Trendlyne.com)
• You prefer to invest via curated AI portfolios/smallcases (auto‑rebalancing and single-click execution): Smallcase + AI smallcases (InvestorAi / SmartWealth.ai). (InvestorAi.Smallcase.com)
• You want goal-based planning and tax‑aware recommendations: Kuvera. (Kuvera.in)
• You want to build/test automated strategies and execute via your broker: AlgoTest / Streak / broker platforms with algo features. (OneDemat.com)

Practical tips

• Use these tools for idea generation, scoring and screening — not as a sole buy/sell instruction. Verify fundamentals, valuations and position sizing yourself.
• Backtest any model or Smallcase on historical data and, if possible, paper‑trade for a while.
• Check what broker integrations and costs (subscription / brokerage) apply before committing capital.
• Look for SEBI registration / disclosures for any advisory product (especially paid AI portfolios).

If you’d like, I can:

• compare 3 platforms you care about (costs, AI features, broker integrations), or
• recommend which is likely best for a specific investing style (long‑term, dividend, quant momentum, or active options trading).