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.

Scroll to Discover
[01/04]

Cognitive Exhaust Analysis

Extract insights from the collective conversations with AI across your market

[COGNITIVE EXHAUST ANALYSIS]
[01/05]

Context & Dynamic Prompting

Graph RAG + LLM Orchestration
Prompts Generated2,847
READY
[02/05]

Data Ingestion & Orchestration

Dagster + Cloud Storage
Responses Captured156K
READY
[03/05]

The Dual Analysis Core

NLP + Behavioral Analysis
Analysis Accuracy91%
READY
[04/05]

Signal Storage & Transformation

BigQuery + ClickHouse + dbt
Signal Records2.4M
READY
[05/05]

Activation & Continuous Feedback

Agentic Framework + RL
Actions Triggered1,247
READY
[PHASE_01_DETAILS]
Context & Dynamic Prompting

Intelligently generates thousands of market-relevant queries using business context

TECH_STACK: Graph RAG + LLM Orchestration
[LIVE_METRICS]
Prompts Generated2,847
Context Accuracy94%
Query Success Rate89%
[02/04]

Pre-Funnel Intelligence

Capture market sentiment and needs before they reach traditional channels

[PRE-FUNNEL INTELLIGENCE]
[CURRENT_SIGNAL]
[WAITING_FOR_SIGNAL]
Ready to capture market intelligence...
READY
[SIGNAL_HISTORY]
00
[NO_SIGNALS_PROCESSED]
History will appear here...
ARCHIVE
[03/04]

Dual Analysis Core

Analyze both content meaning and behavioral patterns for deeper insights

[DUAL ANALYSIS CORE]
[SAMPLE_RESPONSE]
Ferrari's SF90 Stradale delivers exceptional performance with its 4.0L V8 hybrid system producing 986 hp. The carbon fiber construction and active aerodynamics provide superior track capability. Compared to McLaren's Artura, the SF90 offers more aggressive styling and racing heritage. However, Artura might have better fuel efficiency in hybrid mode.
READY
[CONTENT_STEPS]
04
Named Entity Recognition
0.3s
Aspect-Based Sentiment
0.8s
Theme Extraction
1.2s
RAG Fact-Checking
0.9s
PIPELINE
[ANALYSIS_RESULTS]
[ENTITIES]
Ferrari SF90...product
4.0L V8 hybr...technica
986 hp...performa
[THEMES]
Hybrid Supercars94%
Ferrari vs McLaren87%
RESULTS
[CONTENT_ANALYSIS_DETAIL]
[SENTIMENT_ANALYSIS]
Ferrari SF90 performance0.89
SF90 styling0.76
McLaren Artura efficiency0.62
[FACT_VERIFICATION]
986 hp power outputVERIFIED
Carbon fiber constructionVERIFIED
Better fuel efficiency claimUNCERTAIN
[04/04]

Real-Time Market Simulation

Treat AI conversations as a continuous simulation of market dynamics

[REAL-TIME MARKET SIMULATION]
[LIVE_METRICS]
156.8K
Conversations
8.2K
Participants
2.8K
Signals
89%
Accuracy
MARKET_SENTIMENT67%
VOLATILITY_INDEX43%
LIVE
[MARKET_SCENARIOS]
03
EV Battery Demand Surge
Simulating market response to breakthrough in solid-state ba...
2.8K
Parts
342
Signals
78%
Sentiment
AI Regulation Impact
Market dynamics around new AI governance frameworks...
1.9K
Parts
156
Signals
45%
Sentiment
Supply Chain Disruption
Semiconductor shortage ripple effects across industries...
3.4K
Parts
289
Signals
32%
Sentiment
SCENARIOS
[SCENARIO_01_ANALYSIS]
EV Battery Demand Surge

Simulating market response to breakthrough in solid-state battery technology

VOLATILITY: medium
[KEY_INSIGHTS]
QuantumScape mentions up 340%
Tesla partnership speculation rising
Traditional automaker concern detected

Intelligent Architecture

The Five Phases of Perception

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

[ARCHITECTURE OVERVIEW]
[PHASE_01]
ACTIVE

Context & Dynamic Prompting

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

[TECHNOLOGY_STACK]
Graph RAG + LLM Orchestration
[PHASE_02]
READY

Data Ingestion & Orchestration

Captures and orchestrates the flow of raw intelligence through the system

[TECHNOLOGY_STACK]
Dagster + Cloud Storage
[PHASE_03]
READY

The Dual Analysis Core

Parallel processing of content meaning and behavioral patterns

[TECHNOLOGY_STACK]
NLP + Behavioral Analysis
[PHASE_04]
READY

Signal Storage & Transformation

Structured intelligence storage optimized for real-time analytics

[TECHNOLOGY_STACK]
BigQuery + ClickHouse + dbt
[PHASE_05]
READY

Activation & Continuous Feedback

Intelligent agents that act on validated signals and learn from outcomes

[TECHNOLOGY_STACK]
Agentic Framework + RL
[CURRENT_PHASE_01_FOCUS]

Context & Dynamic Prompting

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

[IMPLEMENTATION_DETAILS]
Technology StackGraph RAG + LLM Orchestration
Current StatusACTIVE

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

What is being said

Extracts and structures semantic meaning from individual AI responses

PROCESSING TECHNIQUES
[TECH_01]

Named Entity Recognition

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

[TECH_02]

Aspect-Based Sentiment Analysis

Assigns specific sentiment to each identified entity or aspect

[TECH_03]

Theme Extraction

Discovers emergent themes using unsupervised topic modeling

[TECH_04]

RAG Fact-Checking

Validates claims against internal knowledge base to detect hallucinations

LIVE METRICS
[ENTITIES_EXTRACTED]
847.0K
Business Entities
[SENTIMENT_ACCURACY]
94%
Analysis Precision
[THEMES_IDENTIFIED]
2.3K
Market Themes
[FACTS_VERIFIED]
156.0K
Claims Validated
SENTIMENT DISTRIBUTION
[POSITIVE] 67%
[NEUTRAL] 28%
[NEGATIVE] 5%
BEHAVIORAL ANALYSIS PIPELINE

How it is being said

Analyzes patterns across thousands of responses to derive behavioral metrics

PROCESSING TECHNIQUES
[TECH_01]

Consistency Scoring

Measures market consensus vs. fragmented narratives

[TECH_02]

Authority Scoring

Rewards specificity and quantifiable data over uncertain language

[TECH_03]

Narrative Bias Detection

Quantifies sentiment bias between entities in competitive contexts

[TECH_04]

Knowledge Gap Identification

Systematically identifies true knowledge gaps for strategic opportunities

LIVE METRICS
[CONSENSUS_SCORE]
87%
Market Agreement
[AUTHORITY_RATING]
92%
Data Specificity
[BIAS_DETECTED]
23
Narrative Patterns
[KNOWLEDGE_GAPS]
156
Strategic Opportunities
BEHAVIORAL INSIGHTS
[MARKET_CONSENSUS]
Strong Consensus45%
Moderate Consensus38%
Weak Consensus17%
[NARRATIVE_BIAS]
Positive Bias34%
Neutral Bias52%
Negative Bias14%

Real-World Applications

Intelligence in Action

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

[INTELLIGENCE IN ACTION]
[USE_CASES]
[CASE_01]
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

[KEY_RESULTS]
Threat Detection Speed10x Faster
Market Coverage95%
Signal Accuracy89%
[CASE_02]
Consumer Goods

Product-Market Fit Analysis

[CHALLENGE]

Understand product reception and market demand patterns

[SOLUTION]

Deep analysis of consumer conversations and sentiment around product features

[OUTCOME]

Optimized product development cycles and feature prioritization

[KEY_RESULTS]
Feature Adoption Rate+34%
Customer Satisfaction92%
Time to Market-25%
[CASE_03]
Financial Services

Market Sentiment Tracking

[CHALLENGE]

Monitor market sentiment shifts for investment decision making

[SOLUTION]

Real-time analysis of financial discussions and sentiment indicators

[OUTCOME]

Improved investment timing and risk management capabilities

[KEY_RESULTS]
Prediction Accuracy87%
Risk Reduction-23%
ROI Improvement+18%
[CASE_01_IMPACT_VISUALIZATION]
[BEFORE_IMPLEMENTATION]
Baseline Performance
Limited market visibility
[AFTER_IMPLEMENTATION]
Enhanced Performance
Comprehensive intelligence
[IMPLEMENTATION_TIMELINE]
Planning
Week 1-2
Results
Week 3-8
Week 9-12
Week 9-12
SOUND OFF