PillarLab
    Beta — Join the First 500 Traders

    ChatGPT Has Search.
    Claude Has Tools.
    They're Still Guessing.

    Giving AI access to data doesn't make it think better. We built 2,000+ structured frameworks that guide AI through domain-specific analysis — not just search results.

    2,000+

    Analytical Frameworks

    10,000+

    Markets Tracked

    Beta

    Building Track Record

    The Real Problem

    The Problem Isn't Data Access.
    It's Thinking Structure.

    ChatGPT can browse the web. GPT-4 has plugins. Claude can use tools. But ask any of them to analyze an NFL spread and you'll get a wall of text with no methodology.

    No Framework

    Even with search access, AI gives you a blob of text. No structured reasoning. No repeatable methodology. Just vibes.

    No Specialization

    The same model that writes poems also analyzes crypto? That's not an edge — that's a lottery ticket.

    No Transparency

    You can't see how it weighted factors. You can't verify its logic. You just have to trust it.

    Our Approach

    Structure Beats
    Raw Intelligence.

    We built 2,000+ "Pillars" — structured reasoning templates that guide AI through domain-specific analysis. Think of it as the difference between asking a random person vs. giving them an expert checklist.

    NFL Professional Flow

    Sources: Action Network, VegasInsider

    Line movement + market %

    Presidential Polls

    Sources: 538, RCP, Polymarket

    Poll aggregation + weighting

    Crypto Whale Flow

    Sources: Glassnode, Nansen, Dune

    On-chain accumulation

    xG Soccer Model

    Sources: FBRef, Opta, Understat

    Expected goals analysis

    Why This Works

    Why Structure Beats Raw Intelligence

    Explicit Methodology

    See exactly how each Pillar weighs factors before you run it. No mysteries. No black boxes.

    Domain Expertise Encoded

    NFL, crypto, macro — each has specialized frameworks, not generic prompts that work for everything.

    Composable Analysis

    Stack multiple Pillars for multi-angle analysis. Professional flow + line movement + injury news = complete picture.

    Real Data Sources

    Each Pillar pulls from domain-specific feeds: ESPN, CoinGecko, FBRef. Not generic web results — structured data pipelines.

    Transparent Reasoning

    Every output shows its work — sources cited, factors weighted. You can verify everything.

    Building Reliability Scores

    We're tracking which Pillars perform. When markets resolve, we learn. Building toward backtested accuracy.

    See The Difference

    Same Question. Different Approach.

    Both have access to the same data. Only one has structure.

    Generic AI (with search)

    "Will the Lakers cover -4.5 tonight?"

    "Based on recent news and betting lines, the Lakers have shown momentum in recent games. LeBron has been performing well and the team's chemistry seems to be improving. Looking at various factors, I'd estimate approximately a 55-60% chance they cover the spread..."

    [continues for 3 more paragraphs]

    • Has search access ✓
    • Wall of text with no structure
    • No explicit weighting of factors
    • Can't see the methodology
    • Different answer every time you ask

    PillarLab Analysis3 Pillars

    "Will the Lakers cover -4.5 tonight?"

    Professional Flow Tracker

    Source: Action Network

    BEARISH (38%)
    Home ATS Record

    Source: Covers.com

    BEARISH (32%)
    Line Movement

    Opened -6, now -4.5

    CAUTION (48%)

    Composite: FADE LAKERS

    Professional flow against. Line moving wrong direction. Methodology visible.

    ✓ Explicit factor weighting
    ✓ Repeatable methodology
    ✓ Same answer every time

    Three Ways to Use PillarLab

    Pick a market. Pick your frameworks. Get structured analysis.

    Find Your Market

    10,000+ markets from Polymarket & Kalshi. Search, filter, analyze.

    Browse Markets

    Pick Your Frameworks

    2,000+ pillars. Sports, politics, crypto, macro. Each with transparent methodology.

    Explore Pillars

    Research Assets

    Stocks, cryptos, commodities. Same structured analysis approach. Same transparency.

    Start Research
    What We're Building

    The Intelligence Layer
    for Prediction Markets.

    We're not training custom AI models. We're building the framework library that makes any AI model useful for prediction markets.

    2,000+

    Analytical Frameworks

    10,000+

    Markets Tracked

    Beta

    Building Track Record

    Our Approach

    • Proprietary Framework Library

      2,000+ specialized analytical templates that took months to build and refine.

    • Resolution Tracking

      When markets resolve, we measure which frameworks were accurate. Building reliability scores over time.

    • API-Powered, Not Custom Models

      We use best-in-class AI APIs. Our value is the structured frameworks and domain expertise layered on top.

    We're not a broker.

    We're the Intelligence Layer

    Think TradingView for prediction markets. The analytical infrastructure traders need.

    Ready to Try
    Structured Analysis?

    Sign up and get 25 free credits to start. See the difference structured reasoning makes.

    No credit card required. 25 credits free on signup.