AI-native equity intelligence
Turn market noise into investment intelligence.
Ask any question about a company, market, sector or portfolio. LabhIQ combines financial data, filings, news, fundamentals, valuation, market signals and AI reasoning to explain what matters — and why.
Don't just follow the market. Understand it.
Why LabhIQ
One operating system instead of eight tabs.
A serious investor should not have to assemble Screener + TradingView + Trendlyne + Moneycontrol + TIKR + ChatGPT + Excel + a broker to answer a single decision-grade question. LabhIQ is the workflow: ask, evidence, contradiction, scenario, monitor, measure.
Opportunity radar
Not top gainers. Why it appeared.
Return on assets remains among the strongest in private banks, while 12-month relative strength vs Nifty Bank is still negative after the merger digestion.
JLR free-cash-flow conversion improved while India PV mix is still mid-cycle. The setup is an earnings-quality change, not a momentum headline.
Wires & cables + FMEG mix with capacity additions and improving operating cash flow — a mid-cap compounder profile, not a breakout tip.
Domestic power-generation and data-centre demand show up in order commentary; DII ownership has risen while valuation is still in a long-term band.
Specialty pipeline commentary and US pricing stability matter more this quarter than the headline PAT beat.
Order inflows and domestic capex commentary put industrials in leadership; the question is whether the multiple already discounts it.
Why this stock?
HDFC Bank, without the slogan.
Quality did not collapse. Timing of the re-rating did. LabhIQ separates franchise from relative performance, then asks what would invalidate the view.
Thesis tracker
NIM compressed further in the first post-thesis print, then flattened. Relative performance vs Nifty Bank stayed negative.
- What the original expected
- Relative underperformance to fade within two quarters of merger digestion.
- What happened
- Underperformance persisted into 2026; asset quality stayed contained.
- Does it still hold?
- Quality/value case still holds. Timing and catalyst path need a new snapshot — the original view is not overwritten.
Risk radar
You may want to investigate this.
Not "sell now". Investigate.
Large-deal mix and utilisation have not fully offset pricing pressure. Investigate before treating every dip as value.
Quality is not in dispute; the multiple vs growth and volume recovery is. This is a valuation-risk flag, not a sell call.
Group leverage, related-party complexity and pledge/holdco opacity remain in the forensic layer even when price recovers.
Intelligence stack
Seven layers. One chokepoint for the model.
Prices, volume, delivery, breadth, indices, corporate actions.
Revenue, margins, ROE/ROCE, FCF, debt, capital allocation.
Model, segments, moat, management, capex, customers, suppliers.
News, filings, earnings, transcripts, institutional activity.
Related parties, pledging, cash-flow anomalies, governance flags.
Factors, regime, relative strength — versioned, backtestable targets.
Synthesis, scenarios, contradiction, monitoring, learning. Never invents the number.
Natural-language screener
See how the question was interpreted before filters run. Edit them. See who was excluded and why.
Compare engine
Business, quality, cash, valuation, ownership, risk — numbers and narrative, plus what could change the conclusion.
Research workspace
Notes, watchlists, theses, document intelligence, evidence panels. Collect once; ask forever.
Portfolio IQ
Why the book is performing this way. Hidden risks, correlated earnings, quality deterioration — not a P&L widget.
Prediction ledger
Immutable views, including misses. Accuracy only with horizon, universe and benchmark.
Intelligence scorecard
How models and agents actually performed. No unqualified AI accuracy claims.
Market memory
What happened last time?
In the 2019–20 tightening window, NIM recovered over three to four quarters while the stock lagged Bank Nifty for ~6 months. That analog is not a forecast — rate path and merger effects differ.
Discretionary spend lagged cuts by two to three quarters in 2019. 2008 and 2020 analogs are invalid — those were recession/shock cycles, not mid-cycle cuts.
Hit rates were regime-dependent. Quality+cash-flow screens held up better than pure momentum overlays when breadth narrowed. This is historical analog analysis, not a backtest claim for LabhIQ.
Responsible AI
Show me the evidence.
- LLMs never invent a price or numeric forecast.
- Point-in-time data access is enforced in code, not in a prompt.
- Published predictions are immutable. Wrong views stay visible.
- A human approves public research. Agents cannot publish.
- The system may abstain: insufficient evidence, not calibrated.
Pricing
Start with evidence. Grow into a desk.
Learn the market with evidence, not tips.
- Ask LabhIQ on public research
- Daily market intelligence
- Screener with visible filters
- Company pages · delayed quotes
- Prediction ledger (public)
Replace the tab-stack for serious individual investors.
- Natural-language screener + interpretation
- Opportunity & risk radar
- Compare engine
- Thesis tracker
- Portfolio IQ (paper)
- Challenge this / evidence trail
- Exports to PDF & Excel
For RIAs, family offices and research teams.
- Shared research workspace
- Document intelligence
- Audit trails & approvals
- Custom universes
- SSO and admin controls
- SEBI-aware advisory mode (when licensed)
Indicative MVP packaging. Not a performance claim. Research mode remains research-only regardless of plan.
Final question
What should you know before you decide?
Data + context + evidence + reasoning + scenarios + risks + contradictions + monitoring + learning. Not "what stock should I buy?"