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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)} | |