Similar a VC AI Deep Dive: Embracing the Potential, Addressing the challenges, and Pinpointing Proper Evaluation Criteria with Lightspeed Venture Partners
Similar a VC AI Deep Dive: Embracing the Potential, Addressing the challenges, and Pinpointing Proper Evaluation Criteria with Lightspeed Venture Partners(20)
4. 4
LIGHTSPEED CHINA PARTNERS AND LIGHTSPEED INDIA PARTNERS ARE
SEPARATELY OWNED AND OPERATED
INDIA
CHINA
U.S.A.
PROPRIETARY AND CONFIDENTIAL
Founded In 2011
Manages $2.2B
7 Dedicated Funds
Founded In 2015
Manages $1.1B
4 Dedicated Funds
SINGAPORE
BANGALORE LONDON
BEIJING
TEL AVIV NEW
DELHI
MENLO
PARK
SHANGHAI
U.S.A
CHINA
INDIA
EUR
SEA
LATAM
2000
LSVP FOUNDED
2006
INDIA, CHINA &
ISRAEL OFFICES
OPENED
2012
FIRST CHINA
FUND
2015
FIRST INDIA FUND
2019
EUROPE OFFICE
OPENED
2020
SEA OFFICE OPENED
/ LATAM
INVESTMENTS
6. 6
14.7%
-3.9%
1.6%
12.1%
9.6%
DATA CENTER
SYSTEMS
DEVICES
TELECOM
SERVICES
SOFTWARE
IT SERVICES
402B
807B
1,298B
ENTERPRISE IT SPEND FORECASTED TO
GROW
6.9% IN 2023 AND 7.5% CAGR
2022-2027
CAGR
2022 GROWTH
FORECAST ABOVE
AVERAGE GROWTH
Mobile
Network
Services
Infrastructure
Implementation
& Managed
Services
Enterprise
Network
Equipment
Application
Implementation
& Managed
Services
Business
Process
Services
Analytics &
Business
Intelligence
Infrastructure as a Service (IaaS) 32.3%
(2002), 30.5% (2023)
ERP / SCM / CRM
Infrastructure
Vertical-Specific
Software
Consulting
FORECAST
BELOW
AVERAGE
GROWTH
Servers
7. PROPRIETARY AND CONFIDENTIAL 7
AREAS WE’RE EXCITED
ABOUT
Vertical SaaS
Supply chain
Office of the CFO
Digitization of
legacy software
Automation
of workflows
4x
SaaS
MARKET GROWTH
2022-2023
PUBLIC CLOUD AS % OF
IT SPEND
2022
18%
2023
46%
3x
9. 9
VERTICAL APPS ACROSS ALL MAJOR INDUSTRIES
▹Legal
Research /
identifying
precedence
▹Financial
Fraud
Detection
▹Logistics
Contract
automation
▹Healthcare
Treatments and
Infrastructure
▹and more
TRANSFORMATION ACROSS FUNCTIONS
▹Security ▹Customer
Success
▹Human
Resources
▹Advertising /
Media
▹Sales
NEXT GEN INFRASTRUCTURE STACK FOR
ML
▹ Prompt
engineering
▹ Databases
▹ Middleware
▹ LLM ops
FOUNDATION
MODEL FOR X
Language, image, video, actions,
robotics, country specific, industry
specific etc.
PROPRIETARY AND CONFIDENTIAL
11. 11
SaaS Era 1.0 2.0 3.0 4.0
Paradigm System of
Record
System of
Engagement
System of
(early)
intelligence
System of
cognition
Tagline Move from on-
prem to cloud
Apps talk to
each other,
Data Activation
Automation
starts to form
key part of
value prop
Gen AI native
capabilities
fundamentally
augment
workflows
Generational
Companies
AREA OF
OPPORTUNITY
15. 15
15
NEW ERA OF
PERSONALIZATION
CONTENT & UX 100x better ability to generate
and test content
EDUCATION Superior learning outcomes
based on tailored approach
HEALTHCARE Step change in drug
development and testing
17. 17
CONTENT & UX 100x better ability to generate
and test content
EDUCATION Superior learning outcomes
based on tailored approach
HEALTHCARE Step change in drug
development and testing
PROPRIETARY AND CONFIDENTIAL
18. 18
DATA
PRIVACY
▹ Consent for data usage
▹ Anonymization
▹ Potential leakage of sensitive data
INTELLECTUAL
PROPERTY
▹ Ownership of proprietary datasets
▹ Licensing and usage rights
ETHICS
▹ Bias and fairness
▹ Transparency and accountability
▹ Autonomy and consent
SAFETY
▹ Model accuracy and reliability
▹ Robustness
▹ Security risk in case of data breaches
▹ Unintended consequences
PROPRIETARY AND CONFIDENTIAL
19. 19
INCUMBENTS Head start in creating differentiation based on
access to greater financial resources,
proprietary datasets, domain expertise and
training capabilities + deep GTM access
STARTUPS Agility, top AI talent and niche focus to rapidly
create disruptive solutions that target
underserved markets
PROPRIETARY AND CONFIDENTIAL
22. 22
PRIVATE DATA
PUBLIC
DATA
▹ Economic Data
▹ Environmental and
Geospatial data
▹ Public surveys
▹ Research papers
▹ Social media
▹ Customer purchase history
▹ Financial
transactions
▹ Healthcare records
▹ Platform user
behavior
23. 23
INFREQUENT /
EPISOCIAL
WORKFLOWS
FREQUENTLY
RECURRING
WORKFLOWS
▹ Data backups
▹ Sales order processing
▹ Payroll processing
▹ Routine maintenance
▹ Daily reporting
▹ Content updates,
▹ Customer support
tickets
▹ Health checkups
▹ Handling unexpected
incidents
▹ Legal proceedings
▹ Annual strategic
planning
▹ Major system
upgrades
▹ Rebranding
24. 24
“HEAVY”
APPLICATION
WRAPPER
▹ A thin wrapper around an existing application
▹ Like customer front ends to ChatGPT
▹ Defensible software applications with
real “heft”
UI
25. 25
IMPROVEMENT
MARGINAL
IMPROVEMENT
▹ Interchangeable solutions with enhanced features
based on small-scale changes to existing
application
▹ 10x product, customer experience, efficiency
▹ Reimagined solutions, resulting in a
significantly better innovations with less
alternatives from competitors
26. 26
HIGH-LEVEL
INTELLIGENCE
LOW-LEVEL
INTELLIGENCE
▹ Automating simpler tasks that don’t have
immediate or proven ROI
▹ Existing workstream sees incremental productivity
enhancement
▹ Automating repeatable work that drives
significant value
▹ Significant portion of work gets automated
28. 28
4.0
System of
Cognition
3.0
(Early)
Intelligence
2.0
Engagement
28
WE ARE IN AN ERA OF COGNITION
1.0
System of
Record
OPPORTUNITIES
New levels of personalization &
user experience, boosting overall
efficiency & productivity
CHALLENGES
Shifting moat / competitive edge
Keeping up with the pace / agility in
product and company building
Data privacy, IP, ethical and safety
concerns
FRAMEWORK FOR SOFTWARE ENTREPRENEURS
▹ Proprietary data
▹ Frequency of interaction
▹ Depth of UI
▹ 10x value proposition
▹ Low-level versus high-level
intelligence
PROPRIETARY AND CONFIDENTIAL
Size and scope – 1T mark – it represents a massive opp, has only been it, but this hs been permeating to other areas
Budgets are still growing
Shift from data-driven AI to sensing AI
Shift from data-driven AI to sensing AI
Shift from data-driven AI to sensing AI
Proprietary Data: Startups that are able to tap into proprietary datasets will have an opportunity to create differentiation
Public Data
Economic, environmental and geospatial data, public surveys, research papers, social media
Private Data
Customer purchase history, financial transactions, healthcare records, platform user behavior
Value shift
Data exchanges / marketplaces will make data even more valuable
Startups that are able to tap into proprietary datasets will have an opportunity to create differentiation
Helping companies leverage their own first-party data will also become increasingly valuable
Is the data source proprietary? Who owns the data and is it hard to come by in the public domain?
Frequently recurring workflows
Data backups, sales order and payroll processing, routine maintenance, daily reporting, content updates, customer support tickets, health checkups
Infrequent / episocial workflows
Handling unexpected incidents, legal proceedings, annual strategic planning, major system upgrades, rebranding
Application Wrapper
Solutions that are a thin wrapper around an existing application, like customer front ends to ChatGPT
“Heavy” UI
Defensible software applications with real “heft”
Marginal improvement
Interchangeable solutions with enhanced features based on small-scale changes to existing application
10x product, customer experience, efficiency
Reimagined solutions, resulting in a significantly better innovations with less alternatives from competitors
Marginal improvement
Interchangeable solutions with enhanced features based on small-scale changes to existing application
10x product, customer experience, efficiency
Reimagined solutions, resulting in a significantly better innovations with less alternatives from competitors