Market Intelligence Revolution

See What Others Cannot

Transform how your organization perceives market opportunities with intelligence that captures the cognitive exhaust of AI interactions across your industry.

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[01/04]

Cognitive Exhaust Analysis

Extract insights from the collective conversations with AI across your market

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Cognitive Exhaust Analysis
[02/04]

Pre-Funnel Intelligence

Capture market sentiment and needs before they reach traditional channels

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Pre-Funnel Intelligence
[03/04]

Dual Analysis Core

Analyze both content meaning and behavioral patterns for deeper insights

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Dual Analysis Core
[04/04]

Real-Time Market Simulation

Treat AI conversations as a continuous simulation of market dynamics

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Real-Time Market Simulation

Intelligent Architecture

The Five Phases of Perception

A cyclical, self-improving intelligence ecosystem that transforms raw market signals into actionable business intelligence.

Architecture
Context & Dynamic Prompting

Context & Dynamic Prompting

Intelligently generates thousands of market-relevant queries using your business context

Graph RAG + LLM Orchestration
Client context profiling
Dynamic prompt generation
Multi-LLM platform targeting
Scalable query orchestration
Architecture
Data Ingestion & Orchestration

Data Ingestion & Orchestration

Captures and orchestrates the flow of raw intelligence through the system

Dagster + Cloud Storage
Immutable raw data storage
Event-driven pipeline triggers
End-to-end data lineage
Scalable orchestration
Architecture
The Dual Analysis Core

The Dual Analysis Core

Parallel processing of content meaning and behavioral patterns

NLP + Behavioral Analysis
Named entity recognition
Sentiment analysis at scale
Behavioral pattern detection
Market consensus scoring
Architecture
Signal Storage & Transformation

Signal Storage & Transformation

Structured intelligence storage optimized for real-time analytics

BigQuery + ClickHouse + dbt
Standardized signal contracts
Real-time analytics engine
Version-controlled transformations
Historical trend analysis
Architecture
Activation & Continuous Feedback

Activation & Continuous Feedback

Intelligent agents that act on validated signals and learn from outcomes

Agentic Framework + RL
Automated action execution
Human-in-the-loop validation
Reinforcement learning optimization
Continuous system improvement

Advanced Analytics

The Dual Analysis Advantage

Go beyond simple content extraction to analyze behavior at scale, revealing insights impossible to see at the individual response level.

Content Analysis Pipeline
Diagram

Content Analysis Pipeline

What is being said

Extracts and structures semantic meaning from individual AI responses

Named Entity Recognition

Identifies key business entities: products, brands, features, and people

Aspect-Based Sentiment Analysis

Assigns specific sentiment to each identified entity or aspect

Theme Extraction

Discovers emergent themes using unsupervised topic modeling

RAG Fact-Checking

Validates claims against internal knowledge base to detect hallucinations

Behavioral Analysis Pipeline
Diagram

Behavioral Analysis Pipeline

How it is being said

Analyzes patterns across thousands of responses to derive behavioral metrics

Consistency Scoring

Measures market consensus vs. fragmented narratives

Authority Scoring

Rewards specificity and quantifiable data over uncertain language

Narrative Bias Detection

Quantifies sentiment bias between entities in competitive contexts

Knowledge Gap Identification

Systematically identifies true knowledge gaps for strategic opportunities

Real-World Applications

Intelligence in Action

See how the Perception Engine transforms market intelligence across industries and use cases.

Case Study Screenshot
Competitive Intelligence Monitoring
Technology

Competitive Intelligence Monitoring

Challenge:Track competitive landscape and emerging threats in real-time
Solution:Continuous monitoring of AI conversations about competitors and market trends
Outcome:Early detection of competitive moves, improved strategic positioning
10x Faster
Threat Detection Speed
95%
Market Coverage
89%
Signal Accuracy
Case Study Screenshot
Product-Market Fit Analysis
Consumer Goods

Product-Market Fit Analysis

Challenge:Understand true market demand before product launch
Solution:Pre-funnel intelligence gathering on product concepts and features
Outcome:Reduced product failure rate, optimized feature prioritization
+67%
Launch Success Rate
-40%
Time to Market
92%
Feature Accuracy
Case Study Screenshot
Market Sentiment Tracking
Financial Services

Market Sentiment Tracking

Challenge:Monitor brand sentiment and reputation risks across markets
Solution:Real-time sentiment analysis with bias detection and trend tracking
Outcome:Proactive reputation management, improved customer trust
94%
Sentiment Accuracy
<1hr
Response Time
78%
Risk Prevention
SOUND OFF