Adversarial AI Research Platform
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Build AI-powered research and intelligence products.

Design a powerful research product. No code. No infrastructure.

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Your product runs on a proprietary analytical engine that orchestrates multiple AI models into a single reasoning pipeline. It searches, organizes evidence, generates assertions, challenges its own conclusions, and rewrites — producing research that is deeper and more rigorously tested than any single model alone.

Every model has different training data, different strengths, and different blind spots. Combining them within a structured pipeline allows conclusions to be supported, challenged, and refined — producing analysis with far greater depth and reliability.

Design your modules, input options, and report structure in a visual editor. Hit publish. Your product is live instantly, powered by a multi-model analytical engine.

Design → Publish → Run
01
Design your analysts
Each analyst is a specialist with a role, anchor points, source priorities, and domain boundaries. Add as many as your research requires. Version history tracks every prompt change.
02
Configure your product
Set up the input screen, synthesizer voice, report structure, and perspective briefs. The formatting tab shows you exactly which visual components your reports will use.
03
Publish and run
Hit publish and get a live URL. Your product runs on the same engine that powers our own products — same adversarial reasoning, same search infrastructure, same output quality.
3 products, same engine
Live cortix-01
Entity Intelligence
Deep investigative analysis of any entity — company, nonprofit, government agency, or institution. 18 specialist analysts research in parallel, each challenged by independent AI models.
18
Analysts
1,600+
Searches
460+
LLM Calls
Explore →
Live cortix-02
Market Intelligence
Industry and market landscape analysis. Competitive dynamics, regulatory trends, value chains, and disruption vectors. 12 analysts configured for market-level research.
12
Analysts
1,000+
Searches
300+
LLM Calls
Explore →
Live cortix-03
Portfolio Analytics
Multi-entity portfolio impact analysis. Cross-portfolio risks, catalysts, and stress-tested investment theses. 6 analysts reused from Entity Intelligence, 6 purpose-built.
12
Analysts
900+
Searches
260+
LLM Calls
Explore →
4 core systems
01
Multi-engine search
Every query runs across 6 independent search engines. Different engines surface different sources. Gaps in one are filled by another.
02
Adversarial reasoning
4-step gauntlet: draft, judge, review, finalize. Three AI providers from three companies check each other's work.
03
Structured output
Every assertion backed by evidence, surfaced with its tension. The AET contract is enforced programmatically — non-conforming output rejected and re-run.
04
Cross-module synthesis
Synthesizer reads all sections, identifies contradictions and convergences, writes the executive summary. Where agents disagree, you see both sides.
9-step adversarial pipeline
01
Decompose
20 domain-specific search queries
Sonnet
02
Search
20 queries × 6 engines
6 engines
03
Rank
Score & filter sources
Haiku
04
Draft
Deep analysis with AET
Opus
05
Judge
Adversarial attack
GPT-4o
06
Review
Third perspective
Gemini
07
Finalize
Incorporate challenges
Opus
08
Validate
AET contract enforced
Deterministic
09
Output
Verified section
Complete
Build your own adversarial research product.
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