Investor Pitch

Frism: From Exchange Filing to Actionable Signal in 5 Minutes

Frism reads every NSE and BSE corporate announcement the moment it drops — and delivers an AI-verified summary with impact vector analysis to investors within 5 minutes.

See It Live About Frism

< 5 minFiling → Alert

100%NSE + BSE Filings

$782.5MTAM / Year

85%+Gross Margin

Executive Summary: Real-Time Filing Synthesis

Frism monitors every corporate announcement filed on the NSE and BSE — earnings results, board approvals, order wins, M&A disclosures, management changes — and delivers an AI-verified, human-readable summary along with an actionable impact vector analysis directly to investors within 5 minutes of publication. Think of it as a tireless research analyst that reads every single exchange filing the instant it drops, extracts what matters, maps its directional significance, and pushes it to your phone before the financial news cycle even picks it up.

The Problem: The Latency and Noise of Corporate Disclosures

The NSE and BSE together publish hundreds of corporate filings every trading day. These filings contain the most decision-critical information in the market — yet almost nobody reads them in time to act.

Filings Are Dense and Buried

A typical board meeting outcome or quarterly earnings filing is a multi-page PDF wrapped in regulatory legalese. Downloading it, opening it, finding the material clause, and deciding whether it matters takes an experienced analyst 30 to 60 minutes. By then, the trade has already moved.

News Outlets Are Slower Than You Think

Financial news desks cherry-pick only the top 5–10 headline-worthy filings each day. The remaining 95% — including mid-cap order wins, capacity expansions, and subtle regulatory penalties — never get covered. If you're not reading the raw exchange feed yourself, you're flying blind.

No Tool Connects Filing → Impact Analysis

Gap

Even if you find the filing, you still have to manually estimate: “Is this bullish or bearish? By how much?” Existing screeners and aggregators show you the document but leave the interpretation entirely to you. There is no product in the Indian market that closes the loop from filing to impact vector analysis in real time.

The Solution: Filing → Synthesis → Impact Vectors in Under 5 Minutes

Frism runs a fully automated pipeline: the moment a new corporate announcement hits the NSE or BSE exchange feed, our system ingests it, parses the full document, generates a verified summary, maps its directional impact vector, and pushes the finished intelligence to users. The entire cycle completes in under 5 minutes — turning a 30-to-60-minute manual workflow into a hands-free alert.

30–60 min manual workflow → hands-free alert in < 5 min

Real-Time Exchange Monitoring

Always On

Frism watches the NSE and BSE filing feeds continuously. The moment a new corporate announcement is published — whether at 9:15 AM during market hours or at 11 PM after a late board meeting — the ingestion engine fires automatically. Zero manual intervention, zero delay.

AI-Generated Plain-English Summary

Every filing gets distilled into a crisp, jargon-free summary. A 40-page compliance PDF becomes: “Company wins ₹400 Cr defence contract; delivery over 18 months; operating margins expected to compress ~2% due to imported raw material costs.” The facts that matter, in three sentences.

Market Impact Vector Analysis

Frism goes one step further. Using historical pattern analysis and event-type classification, each filing is tagged with an impact vector detailing sentiment direction and sector context: “Similar mid-quarter order wins in the defence sector have historically shown high positive impact correlation with subsequent trading volumes.” Investors get the “so what?” before making a single click.

Deterministic + AI: Built for Trust

Core IP

Frism is not a GPT wrapper. The pipeline applies deterministic code to extract hard numbers — buyback prices, order values, board resolutions — and uses the LLM strictly for contextual synthesis. Every summary links back to the exact page and paragraph in the original PDF. If a user wants to verify a claim, they can do it in two clicks.

Our Competitive Moat: Defensibility & The Evidence Chain

Speed alone is a feature. Speed plus verified summaries plus impact vector analysis is a product moat. Here's why a competitor can't just spin this up over a weekend:

Verification & Tailored Impact Engine

Moat

Every data point passes through a rigorous fact-verification layer for absolute reliability. Rather than generic LLM processing, we employ specialized algorithms tailored to each filing typeto model its precise market implications, using historical impact data to substantiate and back up our directional signals.

Intelligent Signal Filter

Core IP

Exchange feeds are 90% noise — routine AGM notices, boilerplate compliance updates, secretarial changes. Frism's classification engine identifies the 10% that actually moves markets: earnings results, M&A announcements, capacity expansions, large order wins, regulatory penalties, and management changes. Only these trigger the full AI pipeline. This filter is the core IP.

The Netflix-for-Research-Analysts Pitch

For the price of a streaming subscription, a retail trader gets what a Bloomberg terminal charges lakhs for: real-time, pre-digested, source-verified filing intelligence pushed to their phone 24/7. The value asymmetry is so stark that it sells itself on a single demo.

Proprietary Infrastructure: The Zero-Hallucination Pipeline

Sub-5-Minute End-to-End Pipeline

Speed

From the moment a filing hits the exchange server to the moment a user sees the finished summary on their screen — the entire chain (ingestion → PDF parsing → LLM synthesis → impact analysis → push delivery) completes in under 5 minutes. Every stage is instrumented and monitored for latency drift.

Hybrid Deterministic + LLM Processing

Hard facts (financial figures, dates, regulatory references) are extracted via structured parsing code. The LLM handles contextual synthesis — connecting a specific filing to sector trends, historical patterns, and downstream implications. This hybrid approach eliminates hallucination on critical data points.

Historical Pattern Engine

Impact vector analysis is grounded in a growing corpus of past filings mapped to subsequent market reactions. When Frism says “similar earnings surprises have historically shown strong positive impact vectors,” it is citing real statistical patterns — not generating speculative predictions.

Target Market: High-Value Traders & Market Professionals

Active Retail & F&O Traders

~4L Users

The ~4 lakh power traders in India who trade derivatives and swings daily. These users currently cobble together Twitter alerts, Telegram channels, and manual BSE/NSE refreshes. Frism replaces that entire fragile stack with a single, reliable, sub-5-minute intelligence feed — complete with actionable impact signals.

SEBI-Registered Research Analysts & Investment Advisers

3,000+ RAs

Over 3,000 registered RAs and IAs who are legally required to base recommendations on verified data. Frism gives them source-linked, traceable filing summaries they can cite in client reports — cutting their daily document triage from hours to minutes.

Portfolio Managers & Smallcase Creators

500+ PMs

500+ fund managers and model-portfolio builders who need to react to corporate events across dozens of holdings simultaneously. Frism's real-time pipeline ensures they never miss a filing that impacts their portfolio — even for a mid-cap stock no news desk is covering.

Market Opportunity: Hard Math & Verified Realities

We completely reject “inflated startup vanity metrics” and define our market using clean, audited regulatory numbers as of June 2026.

Total Addressable Market (TAM)

TAM

The Raw Baseline: The NSE logs 13.1 Crore unique registered investors in India. Industry metrics confirm that roughly 10% (1.31 Crore users) place at least one trade per month. At a basic consumer utility benchmark of ₹500/month ($60/year), this represents a retail trading pipeline value of $780 Million.

The Institutional Framework: SEBI logs exactly 10,392 active regulated corporate entities (brokers, asset management funds, research houses, and advisors). At a conservative baseline software budget of ₹2,000/month ($240/year), this represents an enterprise data segment value of $2.5 Million.

Total Fact-Based TAM = $782.5 Million / Year (~₹6,500 Crores)

Serviceable Addressable Market (SAM)

SAM

Frism is a high-intent utility with a 5-minute processing SLA. It is designed only for users whose balance sheets directly change if they parse a document late. We filter out 97% of casual hobbyists to target the high-intent core:

B2C (Elite Power Traders): We isolate strictly the top 3% of active retail traders who actively pay for professional software tools (e.g., TradingView Pro, Sensibull).
Target Base: 393,000 users × ₹500 / month ($60/year) = $23.58 Million
B2B (Independent Research Analysts & Advisers): We isolate the core entities whose daily legal compliance work involves manually digging through corporate actions to write advisory notes to clients. This focuses strictly on SEBI-registered Research Analysts (2,059) and Investment Advisers (1,042).
Target Base: 3,001 active desks × ₹2,000 / month blended baseline ($240/year) = $720,000

True, Defensible Indian SAM = $24.3 Million / Year (~₹200 Crores)

Serviceable Obtainable Market (SOM) — 3-Year Reality Execution

SOM

We plan to capture a tight, highly realistic market share over the next 24 to 36 months using our existing live production infrastructure:

B2C Objective: Capture 1.5% of the Power Retail pool (5,895 active subscribers at a frictionless ₹500 / month).
B2B Objective: Capture 5% of the core SEBI RA/IA pool (150 independent advisory desks running on an advanced multi-seat Enterprise tier of ₹5,000 / month).

Target Segment	User/Firm Count	Revenue/Month	ARR
B2C Elite Retail	5,895 Power Traders	₹500 / month	$353,700 (~₹2.94 Crores)
B2B Core Advisors	150 RA/IA Desks	₹5,000 / month	$108,000 (~₹90 Lakhs)
Total Realizable SOM	~6,045 Active Accounts	—	~$461,700 / Year (~₹3.84 Crores)

The Unbiased Moat & Scale Philosophy

Moat

The Margin Advantage: Because our automated text-parsing and metadata-isolation pipeline is already live in production, our compute/API cost per document is near zero. Frism operates at an 85%+ gross profit margin, turning this near-term SOM into a lean, highly stable cash generator.

The Venture Scaling Lever: We do not scale our company by trying to force casual Indian retail investors to become advanced traders. Instead, we expand by opening up our data ingestion endpoints. Because our structural parsing engine is market-agnostic, the addition of the global exchange feeds—specifically the US SEC (Edgar system) and London Stock Exchange—instantly scales our addressable market size by 10x using the exact same underlying codebase.

See It Working Right Now

Frism is live and processing real NSE/BSE filings as they drop. Browse verified summaries with impact vector analyses — no sign-up required.

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Frism is a financial information and news discovery platform. Impact vector analyses are based on historical pattern analysis and are provided for informational purposes only — they are not investment advice, buy/sell recommendations, or guaranteed outcomes. Users should consult a qualified financial advisor before making any investment decisions.

Proudly crafted in India 🇮🇳

Frism Computing (OPC) Private Limited

#74, 15TH CROSS, JP Nagar III Phase, Bangalore South, Bangalore 560078, Karnataka

CIN: U62011KA2026OPC218403•support@frism.ai