ARGOS: The Google of Investment Research

Executive Summary

ARGOS is a breakthrough SEC filing analysis platform that helps quantitative researchers and investment professionals discover alpha signals hidden in public filings.

The Big Idea: There are patterns in SEC filings that predict future stock returns—even though the filings are public and everyone can read them. ARGOS lets researchers test 100 pattern ideas in an afternoon instead of spending months on manual analysis.

The Problem We Solve

Traditional SEC Filing Research is Painfully Slow

Old Way (2-3 months per idea):

1. Come up with hypothesis ("Do FDA rejections predict stock declines?")
2. Download thousands of filings manually
3. Parse HTML/XML (complex, buggy)
4. Write code to find the pattern
5. Calculate forward stock returns
6. Test if pattern predicts returns
7. By the time you're done, the idea is old

Result: Researchers test maybe 10-20 ideas per year. Most alpha strategies remain undiscovered.

ARGOS Way (Minutes per idea)

1. Query: "Show me filings with FDA rejection patterns"
2. See instant results: pattern performance, IC statistics, forward returns
3. Drill down: View actual sentences that triggered the pattern
4. Export: Get backtest data or build research reports
5. Iterate: Test 10 variations in the same afternoon

Result: Test hundreds of ideas, find alpha faster, stay ahead of competition.

How We Got Here: The Evolution Story

Phase 1: VLM Experiment (6 months ago)

Hypothesis: Use large language models to convert SEC sentences into structured "events"

Result: Didn't work well enough

• VLMs were expensive to run at scale
• Events were too noisy—didn't cluster into meaningful categories
• Couldn't extract predictive signal from the chaos
• Key Learning: If data doesn't cluster, you can't predict

Phase 2: Pattern-Based Events (4 months ago)

Pivot: Instead of AI generating events, we write precise pattern rules

Result: Much better!

• Events now cluster cleanly
• Patterns are fast (Hyperscan C library)
• Can process millions of filings quickly
• Patterns are interpretable (you can explain why a signal fired)

Breakthrough Discovery: Claude (AI) is excellent at writing these patterns. We use Claude to mine patterns, then deploy them at scale.

Phase 3: The Database Platform (Current)

The Big Realization: Instead of pre-defining event categories, build a searchable database where researchers can:

• Query raw patterns or pre-built events
• See IC (information coefficient) and forward returns instantly
• Test their own pattern ideas
• Build custom strategies

This is where ARGOS was born.

The Breakthrough: Pre-Priced Signals Exist

What We Discovered

Pre-priced signals = Patterns in SEC filings that predict future stock movement, even though the filing is public and everyone could read it.

Why does this work?

• Most people don't read 10-Ks/10-Qs (they're 100+ pages of dense text)
• Critical signals are buried in risk factors, footnotes, MD&A sections
• Pattern recognition at scale is hard without automation
• Market focuses on 8-Ks (immediate news) and earnings calls
• The real signals are in quarterly/annual filings, hidden in plain sight

This is NOT insider trading. Everything is in public filings. We just found patterns the market is slow to react to.

ARGOS Product Suite

We offer four complementary products:

1. ARGOS Signals (Standard Tier)

"The Signal Library"

What it is:

• 3,207 pre-built patterns organized into 61 categories
• Categories organized by business function (auditor, management) or industry (biotech, renewable energy)
• Each category has subcategories (events/signals)

Use Cases:

• Quant Researcher: "Show me all filings with FDA breakthrough designation—what's the 90-day alpha?"
• Portfolio Manager: "Alert me when portfolio companies have cash runway warnings"
• Equity Analyst: "Which biotech risk patterns predict failures?"

Pricing Model: Subscription (per-user or firm license)

Why Buy This:

• Jump-start research with battle-tested patterns
• No need to build pattern library from scratch
• Constantly updated with new patterns
• Backed by IC analysis—we show you what works

2. ARGOS Discovery (Advanced Tier)

"The Pattern Mining Tool"

What it is:

• Full-text search across 2.5M filings
• Test your own pattern ideas
• Calculate ARGOS score and IC on the fly
• Export winning patterns to add to your signal library

Use Cases:

• Quant Team: "I think 'tariff' mentions predict supply chain issues—test it"
• Research Desk: "Do insider sales disclosures predict underperformance?"
• Strategy Team: "Find unusual language in guidance sections"

Pricing Model: Enterprise license or API pricing

Why Buy This:

• Proprietary alpha generation
• Test ideas competitors haven't thought of
• Build your own pattern library
• Iterate fast—competitive advantage

3. ARGOS MCP Server (Claude Integration)

"Talk to Your Data"

What it is:

• Model Context Protocol (MCP) server for Claude Desktop/API
• Query ARGOS database using natural language
• No SQL required, no API docs to read
• Conversational interface to 2.5M filings

Use Cases:

• Analyst: Explore data conversationally during research
• PM: Quick checks without opening dashboards
• Strategist: Ad-hoc queries for client meetings
• Researcher: Iterate on ideas in natural language

Technology Edge:

• Model Context Protocol is brand new (2024/2025)
• Cutting-edge AI integration
• Works in Claude Desktop (chat interface) or Claude API (programmatic)
• Natural language beats SQL for exploratory research

4. ARGOS Web UI (Visual Dashboards)

"See Your Signals"

What it is:

• Web-based dashboards for visualizing ARGOS data
• Interactive charts, tables, and drill-downs
• Pattern performance analysis
• Company timelines with signal overlays

Features:

• Filing Explorer: Filter and search filings by ticker, date, ARGOS score, patterns
• Pattern Performance: See which signals predict returns (bar charts, histograms, scatter plots)
• Company Deep Dive: All filings for a ticker with trend analysis
• Sentence Viewer: See actual text that triggered patterns
• Stats Dashboard: Database overview, top patterns, score distributions

Target Customers

We have strong hypotheses but need market feedback. Here's our thinking:

Primary: Quantitative Hedge Funds

Profile:

• AUM: $500M - $50B
• Strategy: Long/short equity, event-driven, quant strategies
• Team size: 5-50 researchers
• Tech-savvy, data-driven

Pain Point: Testing alpha ideas is too slow. By the time you validate a pattern, it's crowded.

Value Prop: Test 100 ideas this month. Find alpha before competitors.

Budget Holder: Head of Quantitative Research, CIO

Price Point: $50K-$500K/year (depends on firm size, usage)

Secondary: Investment Research Departments

Profile:

• Buy-side: Asset managers, pension funds, family offices
• Sell-side: Investment bank equity research
• Team size: 10-100 analysts

Pain Point: Manually reading filings is impossible at scale. Miss critical signals.

Value Prop:

• Generate research reports faster
• Find signals analysts miss
• Cover more companies with same team

Price Point: $25K-$200K/year

Tertiary: Investor Relations (Cross-Sell Opportunity!)

Profile:

• Public companies (our existing IR customers!)
• IR officers need competitive intelligence

Pain Point: Board asks "What are competitors saying in their filings?" Manual process.

Value Prop:

• Automated competitor monitoring
• Generate competitive analysis reports
• Identify industry trends from filings

Price Point: $10K-$50K/year (lower tier, simpler use case)

Cross-Sell Angle: We already sell IR services to 1,000+ public companies. Add-on sale.

Competition: What Else Exists?

Traditional SEC Search Engines

Examples: SEC EDGAR (free), 10-K Wizard (our legacy product), Intelligize

What They Do: Boolean search, keyword filters, document download

Bloomberg Terminal / CapIQ

What They Do: Everything (news, prices, fundamentals, filings search)

ARGOS Advantage:

• Deep focus on SEC filings (we're specialists)
• Pattern-based signal detection (they don't have this)
• Natural language queries via Claude (they have command-line)
• Pre-calculated IC analysis (they don't predict)

Positioning: We're the SEC filing specialist tool. Bloomberg is the Swiss Army knife.

Price: Bloomberg costs $24K/year per seat. We're more specialized, less expensive (for most tiers).

Alternative Data Vendors

Examples: RavenPack (news sentiment), Quiver (Reddit/Twitter), 7Park (credit card data)

ARGOS Advantage:

• SEC filings are free, public, standardized (no data sourcing risk)
• Longer history (2000+) than most alt data
• Legal/compliance friendly (not scraping social media)
• Pattern approach is transparent (you can audit it)

Positioning: We're alternative data FROM public filings. Low risk, high signal.

Pricing Strategy

Note: These are starting points. Flexible based on customer size and use case.

ARGOS Signals (Standard)

• Tier 1 (Small fund/team): $25K/year (5 users)
• Tier 2 (Medium fund): $75K/year (15 users)
• Tier 3 (Large fund/enterprise): $150K+/year (custom)

Includes: Access to 3,207 patterns, Web UI dashboards, API access, Email support

ARGOS Discovery (Advanced)

• Add-on: +$50K-$200K/year (depends on query volume)
• Requires: ARGOS Signals subscription

Includes: Full-text pattern search, Custom pattern testing, Bulk exports, Priority support

ARGOS MCP Server (Claude Integration)

• Add-on: +$10K-$25K/year
• Requires: Claude Pro/Team subscription (user provides)

ARGOS IR Add-On (Competitive Intelligence)

• For existing IR customers: $10K-$25K/year
• Standalone: $15K-$40K/year

Go-to-Market Strategy

Phase 1: Friendly Pilots (Months 1-3)

Goal: Get 3-5 pilot customers, learn fast

Targets:

1. Smaller quant funds ($500M-$2B AUM) - easier to engage
2. Existing IR customers who want competitive intel
3. Research boutiques (10-20 analysts)

Offer: 50% discount for first 6 months, in exchange for:

• Weekly feedback calls
• Willingness to be a case study
• Feature requests and bug reports

Phase 2: Case Study Amplification (Months 4-6)

Goal: Use pilot success to close 5-10 more customers

Tactics:

• Write case studies (with pilot permission)
• Create demo videos showing real results
• Speaking engagements: Quant conferences, investment forums
• Content marketing: "The Hidden Alpha in SEC Filings" white paper

Phase 3: Sales Specialization (Months 7-12)

Goal: Build repeatable sales motion

Actions:

• Hire equity markets sales specialist (knows buy-side language)
• Create standardized pitch deck
• Build self-serve demo environment
• Expand into additional verticals (PE, consulting?)

Key Talking Points for Sales Calls

Opening Hook

"We help quantitative researchers find alpha in public SEC filings that most investors miss. Imagine testing 100 pattern ideas in an afternoon instead of spending months on manual analysis."

Value Prop (30 seconds)

"ARGOS has pre-processed 2.5 million SEC filings and tested 3,207 signal patterns. We show you which patterns predict stock returns, extract the relevant sentences, and let you query everything conversationally through Claude. It's like having a research analyst who's read every filing and knows exactly what matters."

Differentiation

"Traditional SEC search engines just help you find documents. We help you find alpha. Our patterns detect signals the market is slow to price in."

Risk Reversal

"We offer 3-month pilots at 50% off. If you don't find value, you're only out $X,XXX. But if you find one alpha signal, it pays for itself 100x."

The Big Picture: Why ARGOS Matters

The Opportunity

$10B+ spent annually on investment research tools and alternative data

Most of that money goes to:

• Bloomberg terminals
• Alternative data vendors
• Internal tool development

ARGOS taps into that budget by being:

• More specialized than Bloomberg (deeper on SEC filings)
• More transparent than alt data (you can audit our patterns)
• Faster than building internally (ready now, not in 18 months)

The Vision

---

Conclusion: The Pitch in One Sentence