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"""Additional venture types for business optimization.""" | |
import logging | |
from typing import Dict, Any, List, Optional, Set, Union, Type, Tuple | |
import json | |
from dataclasses import dataclass, field | |
from enum import Enum | |
from datetime import datetime | |
import numpy as np | |
from collections import defaultdict | |
from .base import ReasoningStrategy | |
class AIInfrastructureStrategy(ReasoningStrategy): | |
""" | |
AI infrastructure venture strategy that: | |
1. Identifies infrastructure needs | |
2. Develops cloud solutions | |
3. Optimizes compute resources | |
4. Manages scalability | |
5. Ensures reliability | |
""" | |
async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: | |
"""Generate AI infrastructure strategy.""" | |
try: | |
# Market analysis | |
market = await self._analyze_market(query, context) | |
# Infrastructure design | |
design = await self._design_infrastructure(market, context) | |
# Optimization strategy | |
optimization = await self._create_optimization_strategy(design, context) | |
# Scaling plan | |
scaling = await self._plan_scaling(optimization, context) | |
# Revenue projections | |
projections = await self._project_revenue(scaling, context) | |
return { | |
"success": projections["annual_revenue"] >= 1_000_000, | |
"market": market, | |
"design": design, | |
"optimization": optimization, | |
"scaling": scaling, | |
"projections": projections | |
} | |
except Exception as e: | |
logging.error(f"Error in AI infrastructure strategy: {str(e)}") | |
return {"success": False, "error": str(e)} | |
class AIConsultingStrategy(ReasoningStrategy): | |
""" | |
AI consulting venture strategy that: | |
1. Identifies consulting opportunities | |
2. Develops service offerings | |
3. Creates delivery frameworks | |
4. Manages client relationships | |
5. Scales operations | |
""" | |
async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: | |
"""Generate AI consulting strategy.""" | |
try: | |
# Market analysis | |
market = await self._analyze_consulting_market(query, context) | |
# Service design | |
services = await self._design_services(market, context) | |
# Delivery framework | |
framework = await self._create_delivery_framework(services, context) | |
# Growth strategy | |
growth = await self._plan_growth(framework, context) | |
# Revenue projections | |
projections = await self._project_consulting_revenue(growth, context) | |
return { | |
"success": projections["annual_revenue"] >= 1_000_000, | |
"market": market, | |
"services": services, | |
"framework": framework, | |
"growth": growth, | |
"projections": projections | |
} | |
except Exception as e: | |
logging.error(f"Error in AI consulting strategy: {str(e)}") | |
return {"success": False, "error": str(e)} | |
class AIProductStrategy(ReasoningStrategy): | |
""" | |
AI product venture strategy that: | |
1. Identifies product opportunities | |
2. Develops product roadmap | |
3. Creates go-to-market strategy | |
4. Manages product lifecycle | |
5. Scales distribution | |
""" | |
async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: | |
"""Generate AI product strategy.""" | |
try: | |
# Market analysis | |
market = await self._analyze_product_market(query, context) | |
# Product development | |
product = await self._develop_product_strategy(market, context) | |
# Go-to-market | |
gtm = await self._create_gtm_strategy(product, context) | |
# Scale strategy | |
scale = await self._plan_product_scaling(gtm, context) | |
# Revenue projections | |
projections = await self._project_product_revenue(scale, context) | |
return { | |
"success": projections["annual_revenue"] >= 1_000_000, | |
"market": market, | |
"product": product, | |
"gtm": gtm, | |
"scale": scale, | |
"projections": projections | |
} | |
except Exception as e: | |
logging.error(f"Error in AI product strategy: {str(e)}") | |
return {"success": False, "error": str(e)} | |
class FinTechStrategy(ReasoningStrategy): | |
""" | |
FinTech venture strategy that: | |
1. Identifies fintech opportunities | |
2. Develops financial products | |
3. Ensures compliance | |
4. Manages risk | |
5. Scales operations | |
""" | |
async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: | |
"""Generate FinTech strategy.""" | |
try: | |
# Market analysis | |
market = await self._analyze_fintech_market(query, context) | |
# Product development | |
product = await self._develop_fintech_product(market, context) | |
# Compliance strategy | |
compliance = await self._ensure_compliance(product, context) | |
# Risk management | |
risk = await self._manage_risk(compliance, context) | |
# Scale strategy | |
scale = await self._plan_fintech_scaling(risk, context) | |
return { | |
"success": scale["annual_revenue"] >= 1_000_000, | |
"market": market, | |
"product": product, | |
"compliance": compliance, | |
"risk": risk, | |
"scale": scale | |
} | |
except Exception as e: | |
logging.error(f"Error in FinTech strategy: {str(e)}") | |
return {"success": False, "error": str(e)} | |
class HealthTechStrategy(ReasoningStrategy): | |
""" | |
HealthTech venture strategy that: | |
1. Identifies healthcare opportunities | |
2. Develops health solutions | |
3. Ensures compliance | |
4. Manages patient data | |
5. Scales operations | |
""" | |
async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: | |
"""Generate HealthTech strategy.""" | |
try: | |
# Market analysis | |
market = await self._analyze_healthtech_market(query, context) | |
# Solution development | |
solution = await self._develop_health_solution(market, context) | |
# Compliance strategy | |
compliance = await self._ensure_health_compliance(solution, context) | |
# Data strategy | |
data = await self._manage_health_data(compliance, context) | |
# Scale strategy | |
scale = await self._plan_healthtech_scaling(data, context) | |
return { | |
"success": scale["annual_revenue"] >= 1_000_000, | |
"market": market, | |
"solution": solution, | |
"compliance": compliance, | |
"data": data, | |
"scale": scale | |
} | |
except Exception as e: | |
logging.error(f"Error in HealthTech strategy: {str(e)}") | |
return {"success": False, "error": str(e)} | |
class EdTechStrategy(ReasoningStrategy): | |
""" | |
EdTech venture strategy that: | |
1. Identifies education opportunities | |
2. Develops learning solutions | |
3. Creates content strategy | |
4. Manages user engagement | |
5. Scales platform | |
""" | |
async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: | |
"""Generate EdTech strategy.""" | |
try: | |
# Market analysis | |
market = await self._analyze_edtech_market(query, context) | |
# Solution development | |
solution = await self._develop_learning_solution(market, context) | |
# Content strategy | |
content = await self._create_content_strategy(solution, context) | |
# Engagement strategy | |
engagement = await self._manage_engagement(content, context) | |
# Scale strategy | |
scale = await self._plan_edtech_scaling(engagement, context) | |
return { | |
"success": scale["annual_revenue"] >= 1_000_000, | |
"market": market, | |
"solution": solution, | |
"content": content, | |
"engagement": engagement, | |
"scale": scale | |
} | |
except Exception as e: | |
logging.error(f"Error in EdTech strategy: {str(e)}") | |
return {"success": False, "error": str(e)} | |
class BlockchainStrategy(ReasoningStrategy): | |
""" | |
Blockchain venture strategy that: | |
1. Identifies blockchain opportunities | |
2. Develops blockchain solutions | |
3. Ensures security | |
4. Manages tokenomics | |
5. Scales network | |
""" | |
async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: | |
"""Generate blockchain strategy.""" | |
try: | |
# Market analysis | |
market = await self._analyze_blockchain_market(query, context) | |
# Solution development | |
solution = await self._develop_blockchain_solution(market, context) | |
# Security strategy | |
security = await self._ensure_blockchain_security(solution, context) | |
# Tokenomics | |
tokenomics = await self._design_tokenomics(security, context) | |
# Scale strategy | |
scale = await self._plan_blockchain_scaling(tokenomics, context) | |
return { | |
"success": scale["annual_revenue"] >= 1_000_000, | |
"market": market, | |
"solution": solution, | |
"security": security, | |
"tokenomics": tokenomics, | |
"scale": scale | |
} | |
except Exception as e: | |
logging.error(f"Error in blockchain strategy: {str(e)}") | |
return {"success": False, "error": str(e)} | |
class AIMarketplaceStrategy(ReasoningStrategy): | |
""" | |
AI marketplace venture strategy that: | |
1. Creates AI model marketplace | |
2. Manages model deployment | |
3. Handles transactions | |
4. Ensures quality | |
5. Scales platform | |
""" | |
async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: | |
"""Generate AI marketplace strategy.""" | |
try: | |
# Market analysis | |
market = await self._analyze_ai_marketplace(query, context) | |
# Platform development | |
platform = await self._develop_marketplace_platform(market, context) | |
# Quality strategy | |
quality = await self._ensure_model_quality(platform, context) | |
# Transaction system | |
transactions = await self._design_transaction_system(quality, context) | |
# Scale strategy | |
scale = await self._plan_marketplace_scaling(transactions, context) | |
return { | |
"success": scale["annual_revenue"] >= 1_000_000, | |
"market": market, | |
"platform": platform, | |
"quality": quality, | |
"transactions": transactions, | |
"scale": scale | |
} | |
except Exception as e: | |
logging.error(f"Error in AI marketplace strategy: {str(e)}") | |
return {"success": False, "error": str(e)} | |