Corporate Robotics VC Fund Strategy

Job Post: Senior VC / Deep-Tech Analyst for Corporate Robotics Fund Strategy

• *Project Title:** Advanced Market Data, Exit Analysis, and Fund Structuring for Robotics Corporate VC
• *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.

• *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:

• *I. Market Data & Funding Landscape (2023–2026)**

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.

Global Robotics VC Funding:

A year-over-year breakdown of deployed capital by specific robotics vertical from 2023 through early 2026.

Key Characteristics of VC Activity:

Granular benchmarking data detailing:

• *Average Size of Robotics Funds* (dedicated deep-tech vs. generalist).
• *Average Round Sizes & Valuations* (Seed through Series C).
• *Typical Ticket Sizes* (Lead vs. Participant checks).
• *Investment Stage Dynamics* (Volume of Seed vs. Series A/B deals).
• *VC vs. CVC Behavior:* A comparative analysis of how traditional venture capital firms deploy capital in this space versus strategic Corporate VCs.
• *II. Exit Strategy & Realities (2023–2026)**

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.

Global Robotics Exit Landscape:

Volume, value, and multiples of robotics M&A, IPOs, and Take-Privates over the last 3–4 years.

Successful Exits:

Profiling the top landmark liquidity events (who bought them, for how much, and at what stage of maturity).

Case Studies:

Deep dives into 3 to 4 specific robotics startups that successfully navigated from early-stage funding to a lucrative exit.

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.

• *III. Evaluating & Shaping a Potential VC Fund**

Synthesizing the data from Sections I and II to provide evidence-based benchmarking for our proposed vehicle.

Key Considerations:

Financial and structural requirements for a modern robotics VC fund (e.g., capital intensity, follow-on reserves, timeline to liquidity).

Fund Sizing & Stage Benchmarks:

Data-backed recommendations on what a €50M vs. €150M fund can realistically achieve and which stages (Seed vs. A/B) offer the best strategic and financial risk/reward ratio.

Investment Thesis Refinement:

Tying the market and exit data back into a defensible investment thesis tailored for an industrial/healthcare corporate player.

• *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.

• *Ideal Candidate Profile:**

• Ex-VC, Private Equity, or MBB Consulting background.

• Must have active access to premium financial/venture data terminals (PitchBook, Crunchbase Pro, etc.).

• Deep understanding of the physical economy, hardware investing, and deep tech.

• Exceptional financial analysis and data visualization skills.
• Please include examples of past market maps or VC landscape analyses you have completed in your proposal.

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