| 1a. Problem (List top 1-3 Problems) | 4. Solution | 3. Unique Value Proposition (Single, clear, compelling message that states why you are different and worth paying attention to) | 9. Unfair Advantage (What do you have that nobody else has) | 2a. Customer Segments (List your target customers and users) |
|---|---|---|---|---|
| Employees do not benefit from AI because they get suboptimal results due to: |
They worry about how their data is handled and secured. | Customer-Facing Features: Personalized AI Assistance:
LinkedIn Integration: Connects with LinkedIn to understand job roles and provide relevant AI solutions. User-Friendly Interface: Simple and intuitive design to ensure ease of use. Integration with Company and Personal Data: Customizes AI tools with both company-specific and personal data for more precise results. Pre-Determined Workflows:
Workflow-Specific Templates: Provides pre-defined templates to streamline tasks. Agentic Flows: Simplifies workflow customization with drag-and-drop recommendations. Task Automation and Personalized Recommendations: Automates mundane tasks and provides AI-powered recommendations tailored to individual user needs. Team Collaboration:
Collaboration Features: Facilitates team collaboration through shared workflows and data. Ease of Onboarding:
Simple Onboarding Process: Easy to deploy and adopt across departments. Backend Features: Advanced AI Models:
Multiple AI Models and Curated Model Selection: Utilizes various AI models to determine and deliver the best results for each task. High Output Quality: Ensures superior output quality tailored to individual needs. High Data Security:
Robust Security Measures: Ensures data privacy and compliance with data protection regulations. Security and Privacy: Maintains high standards of data security for enterprise use. | Make AI Work for All Non-Technical Employees, starting with CorpDev teams: Accessible: No complex prompting required, making AI easy to use for non-technical users. Effective: Pre-determined workflows and curated model selection to ensure relevant and high-quality outputs. Personal: Customized AI solutions integrated with users' own data for tailored results. Better Results: Deep understanding of workflows allows customization with company and personal data, enhancing effectiveness and relevance. | Existing Clients from DeltaGen Advisory: Established relationships with enterprise clients who trust our expertise and are ready to adopt our AI solutions. Deep Workflow Integration:
Extensive understanding of enterprise workflows allows for seamless AI integration tailored to specific business needs.
Proven Expertise in GenAI: Built an app with 100,000 users, showcasing our ability to make GenAI accessible and effective.
GenAI Workshops: Conducted workshops on Generative AI, further proving our capability to educate and integrate AI solutions within businesses.
Techstars Backing: Credibility and network provided by the Techstars program | Corporate Development Teams in Large Enterprises: M&A professionals, finance, corporate strategy. Needs: Efficient AI tools, automate tasks, enhance decision-making, streamline due diligence.
Non-Technical Roles in Enterprises: Employees in mid to large-scale enterprises. Needs: Easy-to-use AI, no complex prompting, improve workflow efficiency.
Individual Consultants and Advisors: External consultants and advisors, M&A focus. Needs: AI insights, streamline tasks, support data-driven decisions. | | 1b. Existing Alternatives | 8. Key Metrics (list the key numbers that tell you how your business is going) | High Level Concept (List your X for Y analogy e.g. YouTube = Flickr for videos) | 5. Channels | 2b. Early Adopters | | 1. Traditional Chatbots: AI tools that often fail to understand context and provide relevant responses. 2. Standalone AI Tools: Various standalone AI applications requiring complex prompting and customization (e.g., OpenAI’s ChatGPT, Anthropic’s Claude). 3. Custom Internal Company Tools: In-house developed AI solutions tailored to specific company needs but limited in flexibility and scope. 4. Manual Task Management Solutions: Traditional methods of managing tasks without AI assistance, which can be time-consuming and inefficient. 5. Generic Productivity Software: Software solutions like email clients and office suites that do not incorporate advanced AI capabilities. | Revenue Metrics: Monthly Recurring Revenue (MRR) Average Revenue Per User (ARPU) Lifetime Value (LTV)
Retention Metrics: Monthly Active Users (MAU)
Usage Metrics: Tokens Used | Canva for Enterprise AI | Primary Channels: Push Advisory Clients: Description: Leverage existing DeltaGen advisory clients as the initial customer base. Strategy: Offer early access to the AI platform, ensuring close collaboration and feedback. These clients already trust DeltaGen's expertise, making them ideal early adopters. Supporting Channels: Direct Sales and Marketing:
Sales Team: Direct outreach and relationship building with corporate development teams and M&A professionals. Marketing Campaigns: Targeted online and offline campaigns to raise awareness and generate leads. Online Platforms:
Website: Central hub for information, demos, and sign-ups. Social Media: LinkedIn and Twitter for targeted ads and engagement with professionals. Email Marketing: Regular newsletters and updates to keep potential customers informed and engaged. Partnerships:
Techstars Network: Leveraging the Techstars network for introductions and credibility. Industry Partnerships: Collaborations with financial services firms, legal advisors, and industry associations. Content Marketing:
Blogs and Whitepapers: Creating content that addresses pain points and showcases DeltaGen's expertise. Webinars and Workshops: Hosting events to demonstrate the platform’s capabilities and educate potential users. Events and Trade Shows:
Industry Events: Participating in M&A, finance, and technology conferences to connect with target customers. | Clients from DeltaGen Advisory: Profile: Existing clients who have engaged DeltaGen for AI consulting and advisory services and are familiar with AI applications in their business. Engagement Strategy: Offer early access to the new AI platform as part of a pilot program, ensuring close collaboration and feedback loops.
M&A Professionals in Corporate Development Teams: Profile: Individuals working in mergers and acquisitions within large enterprises who need efficient AI tools to streamline due diligence and enhance decision-making. Engagement Strategy: Reach out through DeltaGen's network, Techstars connections, and direct marketing to corporate development departments.
Early Adopters Targeted via Social Media: Profile: Tech enthusiasts and professionals who are actively searching for innovative solutions and engaged in online communities. Engagement Strategy: Use targeted social media campaigns on platforms like LinkedIn and Twitter to attract professionals interested in early access to new AI tools. | | 7. Cost Structure | | 6. Revenue Streams | | | | Fixed Costs: Salaries and Overheads: Includes salaries for development, sales, marketing, customer support, and administrative staff. Office rent, utilities, equipment, and SaaS subscriptions for business operations. Variable Costs: Operational and Infrastructure Costs: Marketing and sales campaigns, cloud hosting, data storage, bandwidth, token costs for AI model APIs, security and compliance, customer acquisition, and consulting services. | | B2B (Business-to-Business): Subscription Fees. monthly/annual: Basic: Free with limited features. Standard: Monthly/annual subscription with additional features. Professional: Advanced features for enterprise teams. Enterprise: Custom pricing for large organizations.
B2C (Business-to-Consumer): Freemium Model: Free version with limited features. Paid upgrades for premium features. | | |
| 1a. Problem (List top 1-3 Problems) | 4. Solution | 3. Unique Value Proposition (Single, clear, compelling message that states why you are different and worth paying attention to) | 9. Unfair Advantage (What do you have that nobody else has) | 2a. Customer Segments (List your target customers and users) |
|---|---|---|---|---|
| Employees do not benefit from AI because they get suboptimal results due to: |
They worry about how their data is handled and secured. | Customer-Facing Features: Personalized AI Assistance:
LinkedIn Integration: Connects with LinkedIn to understand job roles and provide relevant AI solutions. User-Friendly Interface: Simple and intuitive design to ensure ease of use. Integration with Company and Personal Data: Customizes AI tools with both company-specific and personal data for more precise results. Pre-Determined Workflows:
Workflow-Specific Templates: Provides pre-defined templates to streamline tasks. Agentic Flows: Simplifies workflow customization with drag-and-drop recommendations. Task Automation and Personalized Recommendations: Automates mundane tasks and provides AI-powered recommendations tailored to individual user needs. Team Collaboration:
Collaboration Features: Facilitates team collaboration through shared workflows and data. Ease of Onboarding:
Simple Onboarding Process: Easy to deploy and adopt across departments. Backend Features: Advanced AI Models:
Multiple AI Models and Curated Model Selection: Utilizes various AI models to determine and deliver the best results for each task. High Output Quality: Ensures superior output quality tailored to individual needs. High Data Security:
Robust Security Measures: Ensures data privacy and compliance with data protection regulations. Security and Privacy: Maintains high standards of data security for enterprise use. | Make AI Work for All Non-Technical Employees, starting with CorpDev teams: Accessible: No complex prompting required, making AI easy to use for non-technical users. Effective: Pre-determined workflows and curated model selection to ensure relevant and high-quality outputs. Personal: Customized AI solutions integrated with users' own data for tailored results. Better Results: Deep understanding of workflows allows customization with company and personal data, enhancing effectiveness and relevance. | Existing Clients from DeltaGen Advisory: Established relationships with enterprise clients who trust our expertise and are ready to adopt our AI solutions. Deep Workflow Integration:
Extensive understanding of enterprise workflows allows for seamless AI integration tailored to specific business needs.
Proven Expertise in GenAI: Built an app with 100,000 users, showcasing our ability to make GenAI accessible and effective.
GenAI Workshops: Conducted workshops on Generative AI, further proving our capability to educate and integrate AI solutions within businesses.
Techstars Backing: Credibility and network provided by the Techstars program | Corporate Development Teams in Large Enterprises: M&A professionals, finance, corporate strategy. Needs: Efficient AI tools, automate tasks, enhance decision-making, streamline due diligence.
Non-Technical Roles in Enterprises: Employees in mid to large-scale enterprises. Needs: Easy-to-use AI, no complex prompting, improve workflow efficiency.
Individual Consultants and Advisors: External consultants and advisors, M&A focus. Needs: AI insights, streamline tasks, support data-driven decisions. | | 1b. Existing Alternatives | 8. Key Metrics (list the key numbers that tell you how your business is going) | High Level Concept (List your X for Y analogy e.g. YouTube = Flickr for videos) | 5. Channels | 2b. Early Adopters | | 1. Traditional Chatbots: AI tools that often fail to understand context and provide relevant responses. 2. Standalone AI Tools: Various standalone AI applications requiring complex prompting and customization (e.g., OpenAI’s ChatGPT, Anthropic’s Claude). 3. Custom Internal Company Tools: In-house developed AI solutions tailored to specific company needs but limited in flexibility and scope. 4. Manual Task Management Solutions: Traditional methods of managing tasks without AI assistance, which can be time-consuming and inefficient. 5. Generic Productivity Software: Software solutions like email clients and office suites that do not incorporate advanced AI capabilities. | Revenue Metrics: Monthly Recurring Revenue (MRR) Average Revenue Per User (ARPU) Lifetime Value (LTV)
Retention Metrics: Monthly Active Users (MAU)
Usage Metrics: Tokens Used | Canva for Enterprise AI | Primary Channels: Push Advisory Clients: Description: Leverage existing DeltaGen advisory clients as the initial customer base. Strategy: Offer early access to the AI platform, ensuring close collaboration and feedback. These clients already trust DeltaGen's expertise, making them ideal early adopters. Supporting Channels: Direct Sales and Marketing:
Sales Team: Direct outreach and relationship building with corporate development teams and M&A professionals. Marketing Campaigns: Targeted online and offline campaigns to raise awareness and generate leads. Online Platforms:
Website: Central hub for information, demos, and sign-ups. Social Media: LinkedIn and Twitter for targeted ads and engagement with professionals. Email Marketing: Regular newsletters and updates to keep potential customers informed and engaged. Partnerships:
Techstars Network: Leveraging the Techstars network for introductions and credibility. Industry Partnerships: Collaborations with financial services firms, legal advisors, and industry associations. Content Marketing:
Blogs and Whitepapers: Creating content that addresses pain points and showcases DeltaGen's expertise. Webinars and Workshops: Hosting events to demonstrate the platform’s capabilities and educate potential users. Events and Trade Shows:
Industry Events: Participating in M&A, finance, and technology conferences to connect with target customers. | Clients from DeltaGen Advisory: Profile: Existing clients who have engaged DeltaGen for AI consulting and advisory services and are familiar with AI applications in their business. Engagement Strategy: Offer early access to the new AI platform as part of a pilot program, ensuring close collaboration and feedback loops.
M&A Professionals in Corporate Development Teams: Profile: Individuals working in mergers and acquisitions within large enterprises who need efficient AI tools to streamline due diligence and enhance decision-making. Engagement Strategy: Reach out through DeltaGen's network, Techstars connections, and direct marketing to corporate development departments.
Early Adopters Targeted via Social Media: Profile: Tech enthusiasts and professionals who are actively searching for innovative solutions and engaged in online communities. Engagement Strategy: Use targeted social media campaigns on platforms like LinkedIn and Twitter to attract professionals interested in early access to new AI tools. | | 7. Cost Structure | | 6. Revenue Streams | | | | Fixed Costs: Salaries and Overheads: Includes salaries for development, sales, marketing, customer support, and administrative staff. Office rent, utilities, equipment, and SaaS subscriptions for business operations. Variable Costs: Operational and Infrastructure Costs: Marketing and sales campaigns, cloud hosting, data storage, bandwidth, token costs for AI model APIs, security and compliance, customer acquisition, and consulting services. | | B2B (Business-to-Business): Subscription Fees. monthly/annual: Basic: Free with limited features. Standard: Monthly/annual subscription with additional features. Professional: Advanced features for enterprise teams. Enterprise: Custom pricing for large organizations.
B2C (Business-to-Consumer): Freemium Model: Free version with limited features. Paid upgrades for premium features. | | |