Kapitl evaluates draft prospectuses with LLMs, solves mathematical lot distribution across family PANs via linear optimization, and stages pre-listing execution through broker APIs.
No encumbered shares or promoter debt covenants detected.
Capital enters operations rather than early PE investor exit.
Statutory audit notes free from adverse emphasis of matter.
Calculates optimal distribution across SEBI retail and sHNI quotas via mathematical constraint solving.
The Indian primary market runs on strict math, changing GMP signals, and fragmented family accounts. Guesswork and manual spreadsheets lead to predictable failure modes:
Deciphering promoter litigation, debt covenants, OFS vs fresh issue dilution, and peer multiples manually is slow and prone to subjective bias.
Bidding Retail (<₹2L) when sHNI (₹2L–₹10L) offers higher probability in high-demand issues, or misallocating lots across multiple accounts with duplicate PANs.
When multiple issues open simultaneously, bidding in a weak issue locks your bank balance so you cannot participate in a high-GMP issue opening two days later.
An LLM reads the IPO’s listed highlights and risks alongside live grey market premium and subscription data to generate an indicative 0–100 score. Restated financials and prospectus documents are not analysed.
A Mixed-Integer Linear Programming (MILP) solver calculates the mathematically optimal bid configuration across family accounts, balancing Retail and sHNI quotas against available funds.
Stage pre-market sell orders scheduled for execution at 09:00:00 AM IST on listing day via broker SmartAPI integration.
An end-to-end interactive simulation of the autonomous pipeline — from AI ingestion to 9:00 AM profit booking.
An LLM summarises listed highlights, GMP and subscription data (no prospectus or peer data).
Evaluated 6 dimensions: Financial Quality (82/100), Valuation Multiple (78/100), GMP Surge (+27.8%).
Why algorithmic multi-agent due diligence and mathematical lot allocation capture higher risk-adjusted listing returns than manual clicking on consumer broker apps.
| Workflow Dimension | Manual Bidding (Groww / Zerodha) | Kapitl Autonomous System |
|---|---|---|
| Draft Prospectus (DRHP) Audit | 2 to 3 hours reading prospectuses, prone to financial ratio blindspots and Telegram hype. | ✓Seconds: GMP, subscription and an AI summary of listed highlights in one place. Financials and litigation are not analysed. |
| SEBI Quota & Lot Optimization | Defaulting to 1-lot Retail (<₹2L) with low lottery odds, ignoring available family capital. | ✓PuLP constraint solver routes capital into sHNI (>₹2L) and Retail, increasing allotment odds by up to 3.8x. |
| Family Multi-PAN Management | Logging in and out of 5+ different broker apps on mobile, manual OTP approvals, error-prone. | ✓Single unified dashboard. Distributes bids across linked Angel One accounts in 1 click. |
| SEBI Duplicate PAN Prevention | Accidental duplicate bids across different brokers for the same PAN results in 100% rejection. | ✓Pre-flight SEBI PAN deduplication algorithm prevents duplicate bids before UPI block staging. |
| Listing Day Pre-Open Exit (09:00 AM) | Manually watching ticks at 9:55 AM, emotional panic selling, frequent broker app crashes. | ✓Automated 09:00 AM SmartAPI pre-open limit order execution with target profit capture. |
Technical answers on ASBA fund security, SEBI regulations, AI architecture, and broker integrations.