auto_awesome Beta — Join the First 5,000 Traders

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

Giving AI access to data doesn't make it think better. We built 1,750+ structured frameworks that guide AI through domain-specific analysis — not just search results.

1,750+

Analytical Frameworks

104,803+

Markets Tracked

Beta

Building Track Record

bolt Try Your First Analysis See How It Works arrow_forward

warning 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.

list

No Framework

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

settings

No Specialization

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

visibility

No Transparency

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

psychology Our Approach

Structure Beats
Raw Intelligence.

We built 1,750+ "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.

emoji_events

NFL Professional Flow

Sources: Action Network, VegasInsider

Line movement + market %

flag

Presidential Polls

Sources: 538, RCP, Polymarket

Poll aggregation + weighting

currency_bitcoin

Crypto Whale Flow

Sources: Glassnode, Nansen, Dune

On-chain accumulation

sports_soccer

xG Soccer Model

Sources: FBRef, Opta, Understat

Expected goals analysis

Explore All Frameworks arrow_forward

track_changes Why This Works

Why Structure Beats Raw Intelligence

visibility

Explicit Methodology

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

settings

Domain Expertise Encoded

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

layers

Composable Analysis

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

database

Real Data Sources

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

bar_chart

Transparent Reasoning

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

lightbulb

Building Reliability Scores

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

compare See The Difference

Same Question. Different Approach.

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

search 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..."

[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

check_circle PillarLab Analysis 3 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

Source: 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.

widgets

Find Your Market

104,803+ markets from Polymarket & Kalshi. Search, filter, analyze.

Browse Markets arrow_forward

psychology

Pick Your Frameworks

1,750+ pillars. Sports, politics, crypto, macro. Each with transparent methodology.

Explore Pillars arrow_forward

trending_up

Start Analysis

Paste any market URL. PillarLab picks the right frameworks and runs structured analysis instantly.

Start Now arrow_forward

trending_up 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.