SlideShare a Scribd company logo
1 of 19
Download to read offline
Navigating the Evolving
Venture Capital
Landscape for Edge AI
Start-Ups
Todd H. Poole
Director, Venture Investments
Pathfinder
2
Introduction
• Pathfinder is a ~$500M, enterprise
technology-focused, stage-agnostic
(Series A to pre-IPO) fund.
• We invest in the tools, teams, and
technologies that will be relevant to the
enterprise tech sector in 3, 5, 7 years.
• I lead investment activities across a
number of deep-, frontier-, and hard-tech
categories, including AI, ML, and silicon.
• ~121 investments across 41 portfolio
companies.
Introduction: Who Am I?
3
4
Background & Context
• Founders raised 29% less capital in 2022 vs. 2021 ($246B vs. $346B).
• VCs closed 33% fewer funds in 2022 vs. 2021 (892 vs. 1336).
• Startups realized 91% less exit value in 2022 vs. 2021 ($73B vs. $786B).
2022 was a tumultuous year…
5
0
1,000
2,000
3,000
4,000
5,000
6,000
$0
$10
$20
$30
$40
$50
$60
$70
$80
$90
$100
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023*
Deal value ($B) Deal count
US VC Deal Activity, Quarterly, Last 10 Years
• Founders raised only 10% of the capital they raised in 2021 ($37B vs. $346B).
• VCs closed only 7% of the funds they closed in 2021 (99 vs. 1336).
• Startups realized less than 1% of the exit value they realized in 2021 ($5.8B vs. $786B).
…and Q1 2023 has been even worse.
6
0
1,000
2,000
3,000
4,000
5,000
6,000
$0
$10
$20
$30
$40
$50
$60
$70
$80
$90
$100
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023*
Deal value ($B) Deal count
US VC Deal Activity, Quarterly, Last 10 Years
• SVB’s collapse was a major, unexpected event. They were a key partner to founders and
firms with specialized accounts, credit lines, favorable terms on venture debt.
• More than 50% of all startups and VC firms banked with SVB.
…and Q1 2023 has been even worse.
7
0
1000
2000
3000
4000
5000
6000
$0
$10
$20
$30
$40
$50
$60
$70
$80
$90
$100
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023*
Deal value: AI & ML SW & HW ($B) Deal value: All Other ($B) Deal count
• AI & ML startups as a group have fared better than many of their peers in other sectors.
• Software out-raised hardware and silicon ($61B vs. $17B), thanks to the LLMs.
• Regardless, overall metrics are still lower, in line with the rest of the startup ecosystem.
AI & ML has also been affected.
8
$78.0
$168.2
2022 VC Deal Value ($B)
AI & ML Software & Hardware
All Other
• The entire VC ecosystem threw a hell of a party from 2017/18 to 2021.
• Funding was almost universally accessible across all stages, especially in 2021.
• The music started to slow in H1 2022, and had stopped altogether by H2 2022.
• For many, 2023 will be spent nursing the hangover and getting back to fundamentals.
• But for some (including many in the AI & ML spaces), there’s still the after party…
Main takeaways
9
10
Moving into 2023
• AI & ML startups are still faring better than their other startup peers.
• Software AI & ML startups are least impacted, especially anything Generative AI. Hardware
and silicon AI & ML startups are having a tougher time.
• We’ve started to see a stratification of startups into 3 groups:
• Winners: Fundamentally strong startups with solid metrics. Will have access to capital,
but not at the heady multiples of yesteryear. Reasonable up rounds likely.
• Survivors: Structurally weaker startups that acted swiftly to conserve cash, extend
runway, and focus on fixing the core of their business. Flat or down rounds likely.
• Failures: Startups who were slow to act, or who had fundamental flaws in their business
models. Stronger peers will outcompete for customers and investors. Failure likely.
What to expect moving into 2023.
11
• The VCs are facing similar woes: impaired investments, lower returns, lower IRRs.
• Just like startups, VC funds have started to stratify:
• Some firms have scaled back capital deployments or paused investment activity
altogether. Minimal appetite for new deals; focus is on helping current portfolio.
• Some firms are still deploying capital, but much more judiciously. Strong emphasis on
“right deal, right terms.” They’re immune to FOMO and are willing to walk.
• A lot of VC chatter lately about returning to good venture investing principles: investing in
solid teams; setting realistic expectations; greater accountability; reasonable terms.
What to expect moving into 2023.
12
• Founders seeking term sheets from leading VCs should expect:
• To pitch 2x-3x more VCs than in prior years. Early: 150-100; Mid: 50-75; Late: 30.
• Far greater scrutiny during due diligence. There will be many questions. Have patience.
• Lower valuation multiples. 35x-50x is now closer to 15x-25x in many spaces.
What to expect moving into 2023.
13
• Founders seeking term sheets from leading VCs should also expect to encounter more term
sheets with stronger downside protection for investors:
• Higher liquidation preferences. Ex: How much the Preferred get paid from an exit
event before the Common. The norm of 1x still exists, but 2x-10x(!) terms are out there.
• Preference stack stratification. Ex: A new Series C lead may no longer accept being
pari passu – or “treated equally” – to earlier Series A and B investors. May insist they get
paid first before the A or B Preferred. A risk to other Preferred, not Founders or Common.
• Participation rights. Ex: The Preferred take their cut of any returns, then if there’s
anything left for the Common, they get a cut of that too. Double dipping during an exit.
What to expect moving into 2023.
14
• Founders seeking term sheets from leading VCs should also expect to encounter more term
sheets with stronger downside protection for investors:
• Full-ratchet anti-dilution clauses. Ex: The Preferred are protected from the dilutive
effects of a down round by redefining (i.e., increasing) the number of Common Shares
their Preferred Shares will convert into. A risk for Founders and other Common.
• Changes to board composition. Expect to yield existing seats or create new seats.
• Milestone-based warrants. Ex: A Founder assures an investor that ARR will grow from
$5M to $15M over the next 18 months. An investor may ask for warrants that will give
him a right to buy additional shares at a steep discount (often a penny) if that $15M-ARR-
in-18-months milestone is not met. Ensures Founders deliver on promises.
What to expect moving into 2023.
15
• Startup employees should:
• Expect greater uncertainty than in prior years. RIFs (Reduction in Force) spiked in Q4
2022 and are expected to continue in 2023.
• Talk to Founders about your startup’s health. Ask about growth, ask about runway.
• Look for signals to confirm. Are customer counts increasing? Has your startup paused
hiring? Has it been more than 18-24 months since the last raise?
• Have a backup plan. Go to conferences and networking events. Talk to colleagues at
other startups. Polish your resume. Shore up your personal emergency fund.
• Remain rational if things go sideways. Run the numbers for your personal situation.
Make sure you understand the math and the risks. Think clearly and stay level-headed.
What to expect moving into 2023.
16
17
Q&A
18
Resources
• National Venture Capital Association
• List of Law Firms specialized in serving Founders and startup employees
Resources
19

More Related Content

Similar to “Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a Presentation from HPE Pathfinder

Angel Funding Made Easy - Shanti Mohan, Founder @LetsVenture
Angel Funding Made Easy - Shanti Mohan, Founder @LetsVentureAngel Funding Made Easy - Shanti Mohan, Founder @LetsVenture
Angel Funding Made Easy - Shanti Mohan, Founder @LetsVenture
Sanjay Jha
 
Valuation anand lunia shailesh v singh 23 jul 2011 v2
Valuation anand lunia shailesh v singh 23 jul 2011 v2Valuation anand lunia shailesh v singh 23 jul 2011 v2
Valuation anand lunia shailesh v singh 23 jul 2011 v2
GetEvangelized
 
Valuation Workshop by Anand Lunia and Shailesh V Singh 23 Jul 2011 v2
Valuation Workshop by  Anand Lunia and Shailesh V Singh 23 Jul 2011 v2Valuation Workshop by  Anand Lunia and Shailesh V Singh 23 Jul 2011 v2
Valuation Workshop by Anand Lunia and Shailesh V Singh 23 Jul 2011 v2
GetEvangelized
 

Similar to “Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a Presentation from HPE Pathfinder (20)

Opportunities in the CTA Industry
Opportunities in the CTA IndustryOpportunities in the CTA Industry
Opportunities in the CTA Industry
 
Mbo preso
Mbo presoMbo preso
Mbo preso
 
Knowing Your Funding Source - Presented by Jeevan Padiyar and Eric Baum
Knowing Your Funding Source - Presented by Jeevan Padiyar and Eric BaumKnowing Your Funding Source - Presented by Jeevan Padiyar and Eric Baum
Knowing Your Funding Source - Presented by Jeevan Padiyar and Eric Baum
 
Start up valuation methods
Start up valuation methodsStart up valuation methods
Start up valuation methods
 
Now is the best time to start a company… Now what?
Now is the best time to start a company… Now what?Now is the best time to start a company… Now what?
Now is the best time to start a company… Now what?
 
An insider view on the us funding landscape, and hacking the silicon valley f...
An insider view on the us funding landscape, and hacking the silicon valley f...An insider view on the us funding landscape, and hacking the silicon valley f...
An insider view on the us funding landscape, and hacking the silicon valley f...
 
Angel Funding Made Easy - Shanti Mohan, Founder @LetsVenture
Angel Funding Made Easy - Shanti Mohan, Founder @LetsVentureAngel Funding Made Easy - Shanti Mohan, Founder @LetsVenture
Angel Funding Made Easy - Shanti Mohan, Founder @LetsVenture
 
From Bootstrapping to Venture Rounds: A Startup Case Study
From Bootstrapping to Venture Rounds: A Startup Case StudyFrom Bootstrapping to Venture Rounds: A Startup Case Study
From Bootstrapping to Venture Rounds: A Startup Case Study
 
Exit Planning - Maximizing Value Through Pre-Transaction Readiness
Exit Planning - Maximizing Value Through Pre-Transaction ReadinessExit Planning - Maximizing Value Through Pre-Transaction Readiness
Exit Planning - Maximizing Value Through Pre-Transaction Readiness
 
Mercer Capital's Portfolio Valuation: Private Equity and Venture Capital Mark...
Mercer Capital's Portfolio Valuation: Private Equity and Venture Capital Mark...Mercer Capital's Portfolio Valuation: Private Equity and Venture Capital Mark...
Mercer Capital's Portfolio Valuation: Private Equity and Venture Capital Mark...
 
Investor deck 19205
Investor deck 19205Investor deck 19205
Investor deck 19205
 
Founders floor lifograph cvc - 45 mins
Founders floor lifograph   cvc - 45 minsFounders floor lifograph   cvc - 45 mins
Founders floor lifograph cvc - 45 mins
 
Fundraising vs bootstrapping
Fundraising vs bootstrappingFundraising vs bootstrapping
Fundraising vs bootstrapping
 
A to z of business growth finance david jw bailey equity deck (feb 2018)
A to z of business growth finance   david jw bailey equity deck (feb 2018)A to z of business growth finance   david jw bailey equity deck (feb 2018)
A to z of business growth finance david jw bailey equity deck (feb 2018)
 
Atlanta Seed Company: Intro to Venture Capital
Atlanta Seed Company: Intro to Venture CapitalAtlanta Seed Company: Intro to Venture Capital
Atlanta Seed Company: Intro to Venture Capital
 
Valuation anand lunia shailesh v singh 23 jul 2011 v2
Valuation anand lunia shailesh v singh 23 jul 2011 v2Valuation anand lunia shailesh v singh 23 jul 2011 v2
Valuation anand lunia shailesh v singh 23 jul 2011 v2
 
Valuation Workshop by Anand Lunia and Shailesh V Singh 23 Jul 2011 v2
Valuation Workshop by  Anand Lunia and Shailesh V Singh 23 Jul 2011 v2Valuation Workshop by  Anand Lunia and Shailesh V Singh 23 Jul 2011 v2
Valuation Workshop by Anand Lunia and Shailesh V Singh 23 Jul 2011 v2
 
Commercial Financing Mastery 101
Commercial Financing Mastery 101Commercial Financing Mastery 101
Commercial Financing Mastery 101
 
Ilya strebulaev tec-seminar2010
Ilya strebulaev tec-seminar2010Ilya strebulaev tec-seminar2010
Ilya strebulaev tec-seminar2010
 
How to Raise your Series A
How to Raise your Series AHow to Raise your Series A
How to Raise your Series A
 

More from Edge AI and Vision Alliance

“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
Edge AI and Vision Alliance
 
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
Edge AI and Vision Alliance
 
“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...
Edge AI and Vision Alliance
 
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
Edge AI and Vision Alliance
 
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
Edge AI and Vision Alliance
 
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
Edge AI and Vision Alliance
 
“Updating the Edge ML Development Process,” a Presentation from Samsara
“Updating the Edge ML Development Process,” a Presentation from Samsara“Updating the Edge ML Development Process,” a Presentation from Samsara
“Updating the Edge ML Development Process,” a Presentation from Samsara
Edge AI and Vision Alliance
 
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
Edge AI and Vision Alliance
 
“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Present...
“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Present...“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Present...
“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Present...
Edge AI and Vision Alliance
 

More from Edge AI and Vision Alliance (20)

“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
 
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
 
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
 
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
 
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
 
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
 
“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...
 
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
 
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
 
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
 
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
 
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
 
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...
 
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
 
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...
 
“Updating the Edge ML Development Process,” a Presentation from Samsara
“Updating the Edge ML Development Process,” a Presentation from Samsara“Updating the Edge ML Development Process,” a Presentation from Samsara
“Updating the Edge ML Development Process,” a Presentation from Samsara
 
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...“Combating Bias in Production Computer Vision Systems,” a Presentation from R...
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...
 
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
 
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...
 
“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Present...
“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Present...“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Present...
“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Present...
 

Recently uploaded

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
ChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps ProductivityChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps Productivity
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Quantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation ComputingQuantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation Computing
 
Design and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data ScienceDesign and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data Science
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
API Governance and Monetization - The evolution of API governance
API Governance and Monetization -  The evolution of API governanceAPI Governance and Monetization -  The evolution of API governance
API Governance and Monetization - The evolution of API governance
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
How to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cfHow to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cf
 
Modernizing Legacy Systems Using Ballerina
Modernizing Legacy Systems Using BallerinaModernizing Legacy Systems Using Ballerina
Modernizing Legacy Systems Using Ballerina
 
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
 
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceDecarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
 

“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a Presentation from HPE Pathfinder

  • 1. Navigating the Evolving Venture Capital Landscape for Edge AI Start-Ups Todd H. Poole Director, Venture Investments Pathfinder
  • 3. • Pathfinder is a ~$500M, enterprise technology-focused, stage-agnostic (Series A to pre-IPO) fund. • We invest in the tools, teams, and technologies that will be relevant to the enterprise tech sector in 3, 5, 7 years. • I lead investment activities across a number of deep-, frontier-, and hard-tech categories, including AI, ML, and silicon. • ~121 investments across 41 portfolio companies. Introduction: Who Am I? 3
  • 5. • Founders raised 29% less capital in 2022 vs. 2021 ($246B vs. $346B). • VCs closed 33% fewer funds in 2022 vs. 2021 (892 vs. 1336). • Startups realized 91% less exit value in 2022 vs. 2021 ($73B vs. $786B). 2022 was a tumultuous year… 5 0 1,000 2,000 3,000 4,000 5,000 6,000 $0 $10 $20 $30 $40 $50 $60 $70 $80 $90 $100 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023* Deal value ($B) Deal count US VC Deal Activity, Quarterly, Last 10 Years
  • 6. • Founders raised only 10% of the capital they raised in 2021 ($37B vs. $346B). • VCs closed only 7% of the funds they closed in 2021 (99 vs. 1336). • Startups realized less than 1% of the exit value they realized in 2021 ($5.8B vs. $786B). …and Q1 2023 has been even worse. 6 0 1,000 2,000 3,000 4,000 5,000 6,000 $0 $10 $20 $30 $40 $50 $60 $70 $80 $90 $100 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023* Deal value ($B) Deal count US VC Deal Activity, Quarterly, Last 10 Years
  • 7. • SVB’s collapse was a major, unexpected event. They were a key partner to founders and firms with specialized accounts, credit lines, favorable terms on venture debt. • More than 50% of all startups and VC firms banked with SVB. …and Q1 2023 has been even worse. 7
  • 8. 0 1000 2000 3000 4000 5000 6000 $0 $10 $20 $30 $40 $50 $60 $70 $80 $90 $100 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023* Deal value: AI & ML SW & HW ($B) Deal value: All Other ($B) Deal count • AI & ML startups as a group have fared better than many of their peers in other sectors. • Software out-raised hardware and silicon ($61B vs. $17B), thanks to the LLMs. • Regardless, overall metrics are still lower, in line with the rest of the startup ecosystem. AI & ML has also been affected. 8 $78.0 $168.2 2022 VC Deal Value ($B) AI & ML Software & Hardware All Other
  • 9. • The entire VC ecosystem threw a hell of a party from 2017/18 to 2021. • Funding was almost universally accessible across all stages, especially in 2021. • The music started to slow in H1 2022, and had stopped altogether by H2 2022. • For many, 2023 will be spent nursing the hangover and getting back to fundamentals. • But for some (including many in the AI & ML spaces), there’s still the after party… Main takeaways 9
  • 11. • AI & ML startups are still faring better than their other startup peers. • Software AI & ML startups are least impacted, especially anything Generative AI. Hardware and silicon AI & ML startups are having a tougher time. • We’ve started to see a stratification of startups into 3 groups: • Winners: Fundamentally strong startups with solid metrics. Will have access to capital, but not at the heady multiples of yesteryear. Reasonable up rounds likely. • Survivors: Structurally weaker startups that acted swiftly to conserve cash, extend runway, and focus on fixing the core of their business. Flat or down rounds likely. • Failures: Startups who were slow to act, or who had fundamental flaws in their business models. Stronger peers will outcompete for customers and investors. Failure likely. What to expect moving into 2023. 11
  • 12. • The VCs are facing similar woes: impaired investments, lower returns, lower IRRs. • Just like startups, VC funds have started to stratify: • Some firms have scaled back capital deployments or paused investment activity altogether. Minimal appetite for new deals; focus is on helping current portfolio. • Some firms are still deploying capital, but much more judiciously. Strong emphasis on “right deal, right terms.” They’re immune to FOMO and are willing to walk. • A lot of VC chatter lately about returning to good venture investing principles: investing in solid teams; setting realistic expectations; greater accountability; reasonable terms. What to expect moving into 2023. 12
  • 13. • Founders seeking term sheets from leading VCs should expect: • To pitch 2x-3x more VCs than in prior years. Early: 150-100; Mid: 50-75; Late: 30. • Far greater scrutiny during due diligence. There will be many questions. Have patience. • Lower valuation multiples. 35x-50x is now closer to 15x-25x in many spaces. What to expect moving into 2023. 13
  • 14. • Founders seeking term sheets from leading VCs should also expect to encounter more term sheets with stronger downside protection for investors: • Higher liquidation preferences. Ex: How much the Preferred get paid from an exit event before the Common. The norm of 1x still exists, but 2x-10x(!) terms are out there. • Preference stack stratification. Ex: A new Series C lead may no longer accept being pari passu – or “treated equally” – to earlier Series A and B investors. May insist they get paid first before the A or B Preferred. A risk to other Preferred, not Founders or Common. • Participation rights. Ex: The Preferred take their cut of any returns, then if there’s anything left for the Common, they get a cut of that too. Double dipping during an exit. What to expect moving into 2023. 14
  • 15. • Founders seeking term sheets from leading VCs should also expect to encounter more term sheets with stronger downside protection for investors: • Full-ratchet anti-dilution clauses. Ex: The Preferred are protected from the dilutive effects of a down round by redefining (i.e., increasing) the number of Common Shares their Preferred Shares will convert into. A risk for Founders and other Common. • Changes to board composition. Expect to yield existing seats or create new seats. • Milestone-based warrants. Ex: A Founder assures an investor that ARR will grow from $5M to $15M over the next 18 months. An investor may ask for warrants that will give him a right to buy additional shares at a steep discount (often a penny) if that $15M-ARR- in-18-months milestone is not met. Ensures Founders deliver on promises. What to expect moving into 2023. 15
  • 16. • Startup employees should: • Expect greater uncertainty than in prior years. RIFs (Reduction in Force) spiked in Q4 2022 and are expected to continue in 2023. • Talk to Founders about your startup’s health. Ask about growth, ask about runway. • Look for signals to confirm. Are customer counts increasing? Has your startup paused hiring? Has it been more than 18-24 months since the last raise? • Have a backup plan. Go to conferences and networking events. Talk to colleagues at other startups. Polish your resume. Shore up your personal emergency fund. • Remain rational if things go sideways. Run the numbers for your personal situation. Make sure you understand the math and the risks. Think clearly and stay level-headed. What to expect moving into 2023. 16
  • 19. • National Venture Capital Association • List of Law Firms specialized in serving Founders and startup employees Resources 19