Ask questions like this to multiple AIs at once

Try free

What is an example of a great startup executive summary?

An executive summary is the elevator pitch in document form—typically 1-2 pages that determines whether an investor, partner, or advisor reads your full deck or deletes your email.

Below is a fictional example of a strong Series A executive summary, followed by a breakdown of why it works.


Example: "GreenRoute" (Fictional ClimateTech/Logistics Startup)

Company Overview GreenRoute is an AI-powered logistics platform that reduces carbon emissions and fuel costs for last-mile delivery fleets. We transform cluttered route data into optimized, eco-efficient dispatch decisions—cutting emissions by up to 40% while improving delivery times.

The Problem Last-mile delivery accounts for 50% of logistics costs and 25% of urban carbon emissions, yet 35% of delivery miles are driven empty or inefficiently due to static routing algorithms. Current solutions optimize for speed or cost alone; none optimize for both sustainability and margin simultaneously. Fleet managers face mounting regulatory pressure ( Scope 3 disclosure requirements) but lack tools to measure, report, and reduce emissions without sacrificing profitability.

The Solution Our proprietary "Dynamic Carbon Routing" engine ingests real-time traffic, weather, vehicle load, and EV charge levels to generate delivery paths that minimize carbon output per package. Unlike competitors who bolt sustainability features onto legacy logistics software, we built our architecture around emissions data from day one.

Market Opportunity

  • TAM: $180B last-mile logistics software market (growing 15% CAGR)
  • SAM: $18B sustainable fleet management in North America/EU
  • SOM: Targeting mid-market logistics providers (50-500 vehicle fleets) where our 18-month ROI is most compelling

Business Model SaaS subscription ($100-$1,000/month per fleet) + carbon credit revenue share (we monetize verified emission reductions for clients). Average contract value $18K annually; 85% gross margins.

Traction & Validation

  • Revenue: $1.2M ARR (up from $100K 12 months ago)
  • Customers: 45 fleets including two Top-50 regional carriers
  • Efficiency: Customers average 32% emission reduction and 14% fuel savings within 90 days
  • Partnerships: Integration partnerships with Verizon Connect and Ford Pro; pilot with Amazon Delivery Service Partner network

Competitive Advantage

  1. Data Moat: 18 months of proprietary emissions-per-route data across 2M+ deliveries that improves algorithm accuracy
  2. Regulatory Tailwinds: Pre-certified for California CARB compliance and EU Carbon Border entries—competitors require 6-month certification processes
  3. Team:
    • CEO Sarah Chen: Former Product Lead at Flexport; Stanford MBA, ex-McKinsey supply chain
    • CTO James Oduya: Ex-Google Maps engineering; built routing algorithms used by 2B+ users
    • Chief Scientist Dr. Elena Voss: Atmospheric physicist from NOAA; authored IPCC carbon accounting methodologies

The Ask We are raising a $1M Series A to scale engineering (hire 12 heads), expand to EU markets (Amsterdam hub), and develop our predictive maintenance module. This capital takes us to $1M ARR and cash-flow breakeven within 24 months.

Contact: sarah@greenroute.io | Investor Deck: [Link]


Why This Works

1. It opens with the intersection of impact and economics It doesn't begin with "we're a platform" or a mission statement. It leads with the dual value proposition: emissions down, efficiency up. Investors scan for "What pain does this solve?" and "Who pays for it?" immediately.

2. Specificity over superlatives Notice "35% of miles driven empty" rather than "huge inefficiencies." "18-month ROI" instead of "great returns." Specific metrics signal that you've done the homework and can measure your own success.

3. The "Why Now" is implicit By mentioning Scope 3 regulations and carbon credits, it answers why this solution works today but might have failed five years ago. Regulatory pressure creates urgency.

4. Traction is layered It shows revenue growth and usage metrics and strategic validation (partnerships). This covers the three questions VCs ask: Are people paying? Are they using it? Are credible players vouching for you?

5. Team credentials map to the risk They highlight supply chain expertise (to sell to fleets), mapping engineering (to build the tech), and climate science (to validate the carbon math). Each credential de-risks a specific failure mode.


Common Variations by Stage

  • Pre-seed/Seed: Lead with Problem and Solution; emphasize market size and unique insight. Traction might be "Letters of Intent" or pilot data.
  • Series B/C: Lead with Traction and Expansion Strategy; emphasize unit economics, retention metrics, and new market entry.

What are you writing this summary for? Are you preparing for a specific fundraising round, or is this for a business plan competition or accelerator application? And what’s your biggest concern right now—the market sizing section, explaining the technical moat, or something else entirely?