Corporate Robotics VC Fund Strategy
Job Post: Senior VC / Deep-Tech Analyst for Corporate Robotics Fund Strategy
ā¢ *Project Title:** Advanced Market Data, Exit Analysis, and Fund Structuring for Robotics Corporate VC
ā¢ *About the Client & Project:**
We are advising a major European industrial conglomerate (with deep operational footprints in industrial automation, healthcare/medtech, and FMCG logistics) on the potential launch of a dedicated Robotics and "Physical AI" Corporate Venture Capital (CVC) fund.
We have completed the phase-one strategic framework. We have established our "sweet spot" verticals and mapped the macro environment. We are now looking for a top-tier Venture Capital Analyst, Investment Banker, or Strategy Consultant with active access to premium data terminals (PitchBook, CB Insights, Dealroom) to build a highly granular, data-driven foundation for our final Investment Committee presentation.
ā¢ *Scope of Work & Required Deliverables:**
The freelancer will be responsible for pulling exact market data, building benchmarking tables, and developing case studies across the following three core pillars:
ā¢ *I. Market Data & Funding Landscape (2023ā2026)**
We need hard data to map the current state of robotics venture capital, specifically isolating our core verticals (Industrial, Logistics, Healthcare) from the skewed data of Mega-AI/Humanoid rounds.
ā¢ **Global Robotics VC Funding:** A year-over-year breakdown of deployed capital by specific robotics vertical from 2023 through early 2026.
ā¢ **Key Characteristics of VC Activity:** Granular benchmarking data detailing:
ā¢ *Average Size of Robotics Funds* (dedicated deep-tech vs. generalist).
ā¢ *Average Round Sizes & Valuations* (Seed through Series C).
ā¢ *Typical Ticket Sizes* (Lead vs. Participant checks).
ā¢ *Investment Stage Dynamics* (Volume of Seed vs. Series A/B deals).
ā¢ *VC vs. CVC Behavior:* A comparative analysis of how traditional venture capital firms deploy capital in this space versus strategic Corporate VCs.
ā¢ *II. Exit Strategy & Realities (2023ā2026)**
In robotics, funding does not equal liquidity. We need a rigorous analysis of the actual exit market to inform our M&A and ROI expectations.
ā¢ **Global Robotics Exit Landscape:** Volume, value, and multiples of robotics M&A, IPOs, and Take-Privates over the last 3ā4 years.
ā¢ **Successful Exits:** Profiling the top landmark liquidity events (who bought them, for how much, and at what stage of maturity).
ā¢ **Case Studies:** Deep dives into 3 to 4 specific robotics startups that successfully navigated from early-stage funding to a lucrative exit.
ā¢ **Successful CVCs:** Profiling 2 to 3 Corporate VCs (e.g., ABB Technology Ventures, Toyota Ventures, SoftBank Strategic) that have successfully engineered exits or integrated acquired robotics startups into their parent companies.
ā¢ *III. Evaluating & Shaping a Potential VC Fund**
Synthesizing the data from Sections I and II to provide evidence-based benchmarking for our proposed vehicle.
ā¢ **Key Considerations:** Financial and structural requirements for a modern robotics VC fund (e.g., capital intensity, follow-on reserves, timeline to liquidity).
ā¢ **Fund Sizing & Stage Benchmarks:** Data-backed recommendations on what a ā¬50M vs. ā¬150M fund can realistically achieve and which stages (Seed vs. A/B) offer the best strategic and financial risk/reward ratio.
ā¢ **Investment Thesis Refinement:** Tying the market and exit data back into a defensible investment thesis tailored for an industrial/healthcare corporate player.
ā¢ *Final Deliverables:**
1. **Raw Data Cuts:** Clean, well-structured Excel datasets supporting all charts and claims.
2. **Presentation Deck:** A synthesized, highly visual 15-to-20 slide deck (PowerPoint) that integrates these findings into a cohesive, executive-ready narrative.
ā¢ *Ideal Candidate Profile:**
ā¢ Ex-VC, Private Equity, or MBB Consulting background.
ā¢ **Must have active access to premium financial/venture data terminals (PitchBook, Crunchbase Pro, etc.).**
ā¢ Deep understanding of the physical economy, hardware investing, and deep tech.
ā¢ Exceptional financial analysis and data visualization skills.
ā¢ Please include examples of past market maps or VC landscape analyses you have completed in your proposal.
Apply Now
Apply Now
ā¢ *Project Title:** Advanced Market Data, Exit Analysis, and Fund Structuring for Robotics Corporate VC
ā¢ *About the Client & Project:**
We are advising a major European industrial conglomerate (with deep operational footprints in industrial automation, healthcare/medtech, and FMCG logistics) on the potential launch of a dedicated Robotics and "Physical AI" Corporate Venture Capital (CVC) fund.
We have completed the phase-one strategic framework. We have established our "sweet spot" verticals and mapped the macro environment. We are now looking for a top-tier Venture Capital Analyst, Investment Banker, or Strategy Consultant with active access to premium data terminals (PitchBook, CB Insights, Dealroom) to build a highly granular, data-driven foundation for our final Investment Committee presentation.
ā¢ *Scope of Work & Required Deliverables:**
The freelancer will be responsible for pulling exact market data, building benchmarking tables, and developing case studies across the following three core pillars:
ā¢ *I. Market Data & Funding Landscape (2023ā2026)**
We need hard data to map the current state of robotics venture capital, specifically isolating our core verticals (Industrial, Logistics, Healthcare) from the skewed data of Mega-AI/Humanoid rounds.
ā¢ **Global Robotics VC Funding:** A year-over-year breakdown of deployed capital by specific robotics vertical from 2023 through early 2026.
ā¢ **Key Characteristics of VC Activity:** Granular benchmarking data detailing:
ā¢ *Average Size of Robotics Funds* (dedicated deep-tech vs. generalist).
ā¢ *Average Round Sizes & Valuations* (Seed through Series C).
ā¢ *Typical Ticket Sizes* (Lead vs. Participant checks).
ā¢ *Investment Stage Dynamics* (Volume of Seed vs. Series A/B deals).
ā¢ *VC vs. CVC Behavior:* A comparative analysis of how traditional venture capital firms deploy capital in this space versus strategic Corporate VCs.
ā¢ *II. Exit Strategy & Realities (2023ā2026)**
In robotics, funding does not equal liquidity. We need a rigorous analysis of the actual exit market to inform our M&A and ROI expectations.
ā¢ **Global Robotics Exit Landscape:** Volume, value, and multiples of robotics M&A, IPOs, and Take-Privates over the last 3ā4 years.
ā¢ **Successful Exits:** Profiling the top landmark liquidity events (who bought them, for how much, and at what stage of maturity).
ā¢ **Case Studies:** Deep dives into 3 to 4 specific robotics startups that successfully navigated from early-stage funding to a lucrative exit.
ā¢ **Successful CVCs:** Profiling 2 to 3 Corporate VCs (e.g., ABB Technology Ventures, Toyota Ventures, SoftBank Strategic) that have successfully engineered exits or integrated acquired robotics startups into their parent companies.
ā¢ *III. Evaluating & Shaping a Potential VC Fund**
Synthesizing the data from Sections I and II to provide evidence-based benchmarking for our proposed vehicle.
ā¢ **Key Considerations:** Financial and structural requirements for a modern robotics VC fund (e.g., capital intensity, follow-on reserves, timeline to liquidity).
ā¢ **Fund Sizing & Stage Benchmarks:** Data-backed recommendations on what a ā¬50M vs. ā¬150M fund can realistically achieve and which stages (Seed vs. A/B) offer the best strategic and financial risk/reward ratio.
ā¢ **Investment Thesis Refinement:** Tying the market and exit data back into a defensible investment thesis tailored for an industrial/healthcare corporate player.
ā¢ *Final Deliverables:**
1. **Raw Data Cuts:** Clean, well-structured Excel datasets supporting all charts and claims.
2. **Presentation Deck:** A synthesized, highly visual 15-to-20 slide deck (PowerPoint) that integrates these findings into a cohesive, executive-ready narrative.
ā¢ *Ideal Candidate Profile:**
ā¢ Ex-VC, Private Equity, or MBB Consulting background.
ā¢ **Must have active access to premium financial/venture data terminals (PitchBook, Crunchbase Pro, etc.).**
ā¢ Deep understanding of the physical economy, hardware investing, and deep tech.
ā¢ Exceptional financial analysis and data visualization skills.
ā¢ Please include examples of past market maps or VC landscape analyses you have completed in your proposal.
Apply Now
Apply Now