Power AI Agents with Multi-Dimensional Intelligence

Intelligence infrastructure that gives AI agents business relationship mapping, risk detection, and predictive insights across private markets.

Business Relationship APIs
Business Risk APIs
Prediction APIs

🌐 Unlock Hidden Networks.
Discover Warm Intro Paths.

John Doe You Mike Wilson Sarah Chen David Kim Jane Smith Target Lisa Park Tom Zhang Eva Wang Co-invested in Fintech Series A Board Members at TechCorp Partners at Acme Ventures Close colleagues 5+ years
Discovered Path: 92% Confidence

Sample Use Case

Your AI agent wants to reach Jane Smith (Partner, Acme Ventures). Instead of cold outreach, it discovers that Mike Wilson (mutual co-investor) can provide a warm intro with 92% confidence.

GET /warm-intro/{person_a}/{person_b} 
{
  "warm_intro": {
    "from": "john_doe",
    "to": "jane_smith_acme_ventures",
    "confidence_score": 0.92,
    "path": [
      {
        "intermediary": "mike_wilson",
        "relationship_type": "co_investor",
        "connection_strength": 0.94
      }
    ],
    "recommended_approach": {
      "contact": "mike_wilson@ventures.com",
      "context": "mention_fintech_startup_success"
    }
  }
}
GET /co-investor-graph/{company_id} 
{
  "co_investor_graph": {
    "company_id": "fintech_startup_123",
    "investors": [
      {
        "name": "mike_wilson",
        "fund": "wilson_ventures",
        "investment_round": "series_a"
      }
    ]
  }
}

⚡ Predict Company Risk.
Before Everyone Else.

👤
LinkedIn Pattern
Leadership Churn Alert
CTO left 2x in 12 months
Risk Score: 74%
🔍
SEC Investigation
Contagion Risk
Major co-investor under investigation
Impact Score: 58%

Sample Use Case

Before investing in TechCorp, your AI agent flags high executive churn risk (74% probability) based on LinkedIn activity and interview data from key technical leaders.

GET /executive-churn/{company_id} 
{
  "executive_churn": {
    "company_id": "techcorp_inc",
    "risk_score": 0.74,
    "risk_level": "HIGH",
    "key_signals": [
      {
        "executive": "cto_jane_doe",
        "signal_type": "linkedin_activity_spike",
        "confidence": 0.89
      }
    ],
    "predicted_timeline": "30-60_days"
  }
}
GET /structural-instability/{company_id} 
{
  "structural_instability": {
                                        "company_id": "techcorp_inc",
    "instability_score": 0.68,
    "risk_factors": [
      "investor_investigation",
      "board_conflicts"
    ]
  }
}

🚀 See The Future.
Predict Growth Momentum.

AI Analyzes Multiple Data Sources

📄
Job Description
Senior ML Infrastructure Engineer
DataFlow Inc
"Build scalable LLM infrastructure and ML operations pipelines. Experience with transformer architectures and AI model deployment at scale required..."
🔍 +15 AI-focused roles detected
🎥
YouTube Script
DataFlow Inc - Product Demo
Oct 2024
"...excited to announce revolutionary AI features coming in Q1 2025. Our new AI-powered analytics will transform how enterprises..."
🎯 AI platform launch signals
Data Collection Pattern Analysis AI Platform Q1 '25
Confidence: 89%

Sample Use Case

Your AI agent discovers DataFlow Inc is building an AI platform by analyzing semantic patterns in job descriptions ("LLM infrastructure", "ML operations") and YouTube script mentions of "revolutionary AI features coming Q1", predicting product launch with 89% confidence.

GET /growth-momentum/{company_id} 
{
  "growth_momentum": {
    "company_id": "dataflow_inc",
    "momentum_score": 0.91,
    "growth_phase": "accelerating",
    "funding_prediction": {
      "next_round": "series_b",
      "predicted_timing": "Q1_2025",
      "confidence": 0.91,
      "estimated_size": "$25M-$40M"
    },
    "key_indicators": [
      {
        "signal": "hiring_velocity",
        "trend": "accelerating",
        "impact_weight": 0.85
      }
    ]
  }
}
GET /roadmap-inference/{company_id} 
{
  "roadmap_inference": {
    "company_id": "dataflow_inc",
    "predicted_direction": "ai_platform_launch",
    "data_sources": [
      {
        "source": "job_descriptions",
        "signals": ["LLM infrastructure", "ML operations"],
        "weight": 0.85
      },
      {
        "source": "youtube_scripts",
        "signals": ["revolutionary AI features", "Q1 launch"],
        "weight": 0.92
      }
    ],
    "confidence": 0.89,
    "timeline": "Q1_2025"
  }
}
BUSINESS GRAPH

🕸️ The living map of private markets

Business Graph—a dynamic, context-rich knowledge system that structures the private market universe. Think of it as a living market map that continuously captures and updates the relationships and behavioral signals across companies, executives, funds, markets, and products.

🏢 Entities

Companies, executives, funds, products, markets

🔗 Interconnections

Investment relationships, board connections, partnerships

📊 Attributes

Behavioral signals, trends, benchmarks, risk factors

⚡ Modelled in Neo4J knowledge graph
BUSINESS GRAPH
(ENTITIES, ATTRIBUTES & INTERCONNECTIONS)
🔗
Connections
♟️
Strategy
📦
Products
👥
Customers
⚙️
Tech
📊
Benchmarks
📈
Trends
🔄
Perspectives
🎯
Market Play
👤
People
🏭
Industry
🏢
Companies
🤝
Deals
⚠️
Risk
🚚
Distribution
💰
Financials
PRIVATE MARKET UNIVERSE
THREE INTELLIGENCE LAYERS

Three core intelligence dimensions that power your AI agents

Every query enriches the graph. Every prediction improves the model. Built for AI agents that need relationship mapping, risk assessment, and predictive insights.

1

RELATIONSHIP INTELLIGENCE

Trust networks, co-investor maps, warm intro pathways

2

RISK INTELLIGENCE

Executive churn patterns, structural instability signals

3

PREDICTIVE INTELLIGENCE

Growth momentum, roadmap inference, latent opportunities

2024-08-15 💰 Series A funding completed
2024-09-02 👥 Executive hire: CTO from Meta
2024-09-12 🏢 SF office expansion announced
2024-09-20 🤝 Partnership with Salesforce
⚡ PREDICTION Next funding round Q1 2025
AGENT-NATIVE DESIGN

Built for agents from day one

Human Tools
Agent Infrastructure
Response Format
Text/UI
Structured JSON
Confidence
Implicit
Scored predictions
Reasoning
Hidden
Exposed chains
Actions
Manual
API executable
Multi-API Agent Integration 
# Investment AI Agent - Complete Deal Analysis

# 1. RELATIONSHIP APIs - Find warm intro path
intro_analysis = relationship_api.get_warm_intro(
    person_a="investment_partner", 
    person_b="target_ceo"
)

# 2. RISK APIs - Assess company stability  
risk_analysis = risk_api.get_executive_churn(
    company_id="target_company"
)
structural_risk = risk_api.get_structural_instability(
    company_id="target_company"
)

# 3. PREDICTION APIs - Forecast growth trajectory
growth_forecast = prediction_api.get_growth_momentum(
    company_id="target_company"
)
roadmap_insights = prediction_api.get_roadmap_inference(
    company_id="target_company"
)

# AI Agent Decision Engine
if (intro_analysis.confidence > 0.85 and 
    risk_analysis.risk_score < 0.4 and
    structural_risk.stability_score > 0.7 and
    growth_forecast.momentum_score > 0.8):
    
    agent.execute_investment_strategy(
        intro_path=intro_analysis.recommended_approach,
        due_diligence_focus=risk_analysis.key_signals,
        investment_timing=growth_forecast.funding_prediction,
        negotiation_leverage=roadmap_insights.competitive_advantages
    )