SERIES A · INVESTOR MEMORANDUM · 2026
N
NexaFlow
The Intelligent Revenue Operations Platform
Transforming How B2B Companies Grow
$18M
Series A Ask
$4.2M
ARR (Current)
312%
YoY Growth
$47B
TAM
This document contains confidential and proprietary information. Distribution is strictly limited to authorized recipients.
01
Table of Contents
02
Executive Summary
Investment thesis, key highlights, and the opportunity at a glance
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03
Company Overview
Mission, vision, founding story, and corporate structure
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04
Problem & Solution
The $47B pain point and NexaFlow's differentiated approach
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05
Market Analysis
TAM/SAM/SOM breakdown, market dynamics, and growth drivers
→
06
Product
Platform architecture, core features, and technology moat
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07
Business Model
Revenue streams, pricing strategy, and unit economics
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08
Traction & Milestones
Customer growth, ARR trajectory, and key achievements
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09
Competitive Landscape
Market positioning, differentiation, and defensibility
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10
Team
Leadership, advisors, and the talent advantage
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11
Financial Projections
5-year model, unit economics, and path to profitability
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12
Funding Request & Use of Funds
$18M ask, allocation breakdown, and 18-month roadmap
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13
Exit Strategy
Strategic acquirers, IPO pathway, and return scenarios
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14
Risk Factors
Key risks and mitigation strategies
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15
Appendix
Supporting data, customer testimonials, and technical specs
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02
Executive Summary
"NexaFlow is the AI-native revenue operations platform that unifies sales, marketing, and customer success data into a single intelligent system — eliminating the $2.3M annual revenue leakage that plagues the average mid-market B2B company."
The Opportunity
The Revenue Operations (RevOps) software market is experiencing a structural shift. As B2B companies scale, they accumulate an average of 14 disconnected sales and marketing tools, creating data silos that cost them 27% of potential revenue. The market for integrated RevOps solutions is projected to reach $47 billion by 2029, growing at 23% CAGR.
NexaFlow addresses this with a proprietary AI engine — NexaIntel™ — that ingests signals from every customer touchpoint, predicts churn 90 days in advance with 94% accuracy, and surfaces the next best action for every revenue team member in real time.
Why Now
Three converging forces create an unprecedented window: (1) the maturation of large language models enabling true natural-language revenue analytics, (2) the post-pandemic consolidation of SaaS stacks driving demand for unified platforms, and (3) the emergence of AI-native buyers who expect intelligence embedded in every workflow.
Investment Highlights
Proven Traction
$4.2M ARR · 312% YoY · 187 customers
Strong Unit Economics
LTV:CAC of 8.4x · 118% Net Revenue Retention
Capital Efficient
$1.8M raised to date · $2.3M ARR per $1M raised
Defensible Moat
3 patents pending · Proprietary data network effects
World-Class Team
Ex-Salesforce, HubSpot, Google · 2 prior exits
The Ask
$18M Series A at $72M pre-money valuation
$4.2M
Current ARR
↑ 312% YoY
187
Paying Customers
↑ 8 new/month avg
118%
Net Revenue Retention
↑ Best-in-class
94%
Churn Prediction Accuracy
↑ AI-powered
8.4x
LTV:CAC Ratio
↑ Industry avg: 3.2x
03
Company Overview
OUR MISSION
To make every B2B revenue team operate with the precision and intelligence of the world's best — regardless of size.
FOUNDED
March 2023
San Francisco, CA
LEGAL ENTITY
NexaFlow, Inc.
Delaware C-Corp
EMPLOYEES
34 FTE
+12 contractors
PRIOR FUNDING
$1.8M
Pre-seed · 2023
INVESTORS
Apex Ventures
+ 4 angels
CATEGORY
RevOps / AI SaaS
B2B · Mid-market
Founding Story
NexaFlow was born from a shared frustration. Co-founders Alexandra Chen and Marcus Webb spent a combined 22 years at Salesforce and HubSpot watching mid-market companies hemorrhage revenue not from lack of effort, but from lack of visibility. Sales teams chased the wrong leads. Marketing spent budgets on channels that didn't convert. Customer success teams discovered churn only after it happened.
In 2022, they began prototyping an AI system that could unify these signals. By March 2023, they had their first paying customer. By December 2023, they had 40. Today, NexaFlow serves 187 companies across North America and Europe, with a waitlist of 340 qualified prospects.
Corporate Timeline
Q1 2023
Company founded · $1.8M pre-seed closed
Q3 2023
Beta launch · First 10 paying customers
Q1 2024
GA launch · NexaIntel™ AI engine v1.0
Q3 2024
100th customer · $1.2M ARR milestone
Q1 2025
European expansion · SOC 2 Type II certified
Q2 2026
$4.2M ARR · 187 customers · Series A
04
Problem & Solution
The Problem
Mid-market B2B companies (100–2,000 employees) face a structural crisis in revenue operations. As they scale, they accumulate an average of 14 disconnected tools across their go-to-market stack — CRMs, marketing automation, customer success platforms, analytics tools, and more.
Data Fragmentation
Customer data lives in 14+ siloed systems. Sales doesn't know what marketing promised. CS doesn't know what sales committed. 68% of revenue teams report "significant data quality issues."
Reactive Churn Management
Companies discover churn after it happens. The average B2B company loses 23% of revenue annually to preventable churn — customers who showed warning signs 90+ days before canceling.
Blind Pipeline Management
Sales forecasts are wrong 74% of the time. Reps spend 65% of their time on administrative tasks instead of selling. Pipeline reviews are based on gut feel, not data.
Misaligned GTM Teams
Sales, marketing, and CS operate in silos with conflicting metrics. The average deal involves 6.8 stakeholders but only 2.1 are tracked in the CRM. Revenue leaks through the gaps.
The Solution
NexaFlow is the first AI-native Revenue Operations platform purpose-built for mid-market B2B. Our NexaIntel™ engine creates a unified revenue data layer, then applies proprietary machine learning to surface actionable intelligence across the entire customer lifecycle.
Unified Revenue Data Layer
One-click integrations with 200+ tools. All customer signals — emails, calls, product usage, support tickets — unified in a single timeline. Truth, not opinions.
Predictive Churn Intelligence
NexaIntel™ identifies at-risk accounts 90 days before churn with 94% accuracy. Customers using our early warning system reduce churn by an average of 41%.
AI-Powered Pipeline Intelligence
Deal scoring, forecast accuracy, and next-best-action recommendations. Our customers improve forecast accuracy from 26% to 87% within 90 days of deployment.
Cross-Functional Revenue Alignment
Shared dashboards, unified metrics, and automated handoff workflows that align sales, marketing, and CS around a single revenue number. Silos eliminated.
AVERAGE CUSTOMER OUTCOME
41%Churn reduction
28%Revenue increase
3.2xFaster time-to-value
05
Market Analysis
The Revenue Operations software market sits at the intersection of three mega-trends: AI adoption, SaaS consolidation, and the rise of data-driven go-to-market strategies. This convergence is creating a $47 billion addressable market growing at 23% CAGR through 2029.
TAM / SAM / SOM — Market Sizing ($B)
RevOps Market Growth Forecast ($B)
TAM
$47B
Total Addressable Market
All B2B companies globally using revenue operations software, including CRM, marketing automation, CS platforms, and analytics tools.
SAM
$12.4B
Serviceable Addressable Market
Mid-market B2B companies (100–2,000 employees) in North America and Europe — NexaFlow's current and near-term target geography.
SOM
$890M
Serviceable Obtainable Market
Realistically capturable within 5 years based on current growth trajectory, sales capacity, and competitive dynamics. Represents ~7% SAM penetration.
Market Drivers
01
AI Adoption Acceleration
87% of B2B companies plan to increase AI investment in 2026. Revenue teams are the #1 priority for AI deployment, creating massive demand for AI-native platforms.
02
SaaS Stack Consolidation
Post-2024 budget pressures have driven 73% of companies to actively reduce their SaaS tool count. Unified platforms with strong ROI are winning consolidation decisions.
03
RevOps Function Maturation
RevOps headcount grew 300% from 2021–2025. These professionals are now budget owners actively seeking purpose-built platforms to replace cobbled-together solutions.
04
Data Privacy Regulations
GDPR, CCPA, and emerging regulations are forcing companies to centralize data governance — creating a compliance-driven pull toward unified platforms.
Target Customer Profile
Ideal Customer Profile (ICP)
Company Size
100–2,000 employees
Revenue
$5M–$200M ARR
Industry
B2B SaaS, Tech, Services
Geography
North America, Europe
Buyer
CRO, VP RevOps, CFO
Stack
Salesforce or HubSpot CRM
~47,000
companies match this profile globally
06
Product
NexaFlow is a single platform that replaces the fragmented RevOps stack — unifying data, intelligence, and workflows across the entire customer revenue lifecycle.
NexaIntel™ AI Engine
Proprietary ML models trained on 2.4B revenue signals. Predicts churn, scores deals, and surfaces next-best-actions in real time.
Core IP
Revenue Data Layer
200+ native integrations. Unified customer timeline from first touch to renewal. Single source of truth for all revenue data.
Foundation
Pipeline Intelligence
AI-powered deal scoring, forecast modeling, and rep coaching. Improves forecast accuracy from 26% to 87% within 90 days.
Sales
Churn Prediction Suite
90-day early warning system with 94% accuracy. Automated playbooks trigger CS interventions before customers decide to leave.
Retention
Revenue Analytics
Natural language querying of all revenue data. Board-ready dashboards. Cohort analysis, attribution modeling, and expansion tracking.
Analytics
Workflow Automation
No-code automation builder for cross-functional revenue workflows. Automated handoffs, alerts, and playbook execution across teams.
Automation
Technology Moat
NexaFlow's competitive advantage is built on three reinforcing layers of defensibility:
1
Proprietary Training Data
NexaIntel™ is trained on 2.4 billion anonymized revenue signals from our customer base. This dataset grows with every new customer, creating a compounding data advantage that competitors cannot replicate.
2
Network Effects
Benchmark data improves as the network grows. Customers in the same industry see how their metrics compare to peers, creating a powerful retention and expansion driver.
3
Deep Integration Switching Costs
NexaFlow becomes the system of record for revenue data. After 6 months, customers have 18+ months of historical intelligence that cannot be migrated — creating near-permanent retention.
Product Roadmap
NOW · Q2 2026
Core Platform
NexaIntel™ v2.0
200+ integrations
Mobile app
NEXT · Q4 2026
AI Expansion
Generative AI copilot
Automated playbooks
API marketplace
FUTURE · 2027
Platform Ecosystem
Partner network
Enterprise tier
Vertical solutions
07
Business Model
NexaFlow operates a usage-based SaaS model with a predictable subscription base and powerful expansion revenue mechanics. Our pricing aligns directly with customer value — as customers grow, so does our revenue.
Starter
$2,400/yr
Up to 10 users · SMB
- Revenue Data Layer
- 50 integrations
- Basic analytics
- Email support
18% of customers
MOST POPULAR
Growth
$18,000/yr
Up to 50 users · Mid-market
- Full NexaIntel™ AI
- 200+ integrations
- Churn prediction
- Pipeline intelligence
- Dedicated CSM
61% of customers
Enterprise
$60,000/yr
Unlimited users · Enterprise
- Custom AI models
- Unlimited integrations
- SSO & advanced security
- SLA guarantee
- Dedicated team
21% of customers
Unit Economics
Average Contract Value (ACV)
$22,400
Blended across all tiers
Customer Acquisition Cost (CAC)
$8,200
Fully-loaded, blended
Customer Lifetime Value (LTV)
$68,900
Based on 3.1yr avg tenure
LTV:CAC Ratio
8.4x
Industry avg: 3.2x
CAC Payback Period
4.4 months
Industry avg: 18 months
Gross Margin
78%
Improving to 82% by 2027
Revenue Mix
Subscription (SaaS)
82%
Professional Services
11%
Usage Overages
7%
08
Traction & Milestones
$4.2M
ARR
+312% YoY
187
Customers
+8/month avg
118%
Net Revenue Retention
Best-in-class
2.1%
Monthly Churn
↓ from 4.8%
ARR Growth Trajectory ($M)
Customer Count Growth
Key Milestones Achieved
✓
Product-Market Fit Confirmed
NPS of 72 · 94% renewal rate · 340-company waitlist
✓
$4.2M ARR with 312% YoY Growth
Achieved in 26 months from first revenue
✓
SOC 2 Type II Certified
Enterprise-grade security enabling Fortune 1000 sales
✓
European Market Entry
23 EU customers · GDPR compliant · London office opened
✓
3 Patents Filed
NexaIntel™ churn prediction methodology · Pipeline scoring
Customer Testimonials
"NexaFlow reduced our churn by 38% in the first quarter. The ROI was immediate and undeniable. It's the best software investment we've made in three years."
"We replaced 6 tools with NexaFlow and saved $180K annually while getting dramatically better insights. Our forecast accuracy went from 31% to 89%."
"The AI recommendations are genuinely useful — not just noise. Our sales team actually uses it every day, which says everything."
09
Competitive Landscape
The RevOps market is fragmented between legacy CRM giants, point solutions, and emerging AI tools. NexaFlow occupies a unique position: AI-native, mid-market focused, and fully unified — a combination no competitor currently offers.
Competitive Positioning Matrix
| Capability | NexaFlow | Salesforce | HubSpot | Clari | Gainsight |
|---|---|---|---|---|---|
| AI-Native Architecture | ✓ | ~ | ✗ | ~ | ✗ |
| Mid-Market Pricing | ✓ | ✗ | ✓ | ✗ | ✗ |
| Unified Sales + CS + Marketing | ✓ | ~ | ~ | ✗ | ✗ |
| Churn Prediction (90-day) | ✓ | ✗ | ✗ | ✗ | ~ |
| Time to Value (<30 days) | ✓ | ✗ | ✓ | ~ | ✗ |
| 200+ Native Integrations | ✓ | ✓ | ✓ | ~ | ~ |
| Natural Language Analytics | ✓ | ~ | ✗ | ✗ | ✗ |
✓ Full capability
~ Partial / add-on
✗ Not available
10
Team
NexaFlow is led by a team with deep domain expertise in revenue operations, enterprise software, and AI — with a proven track record of building and scaling B2B SaaS companies.
AC
Alexandra Chen
Co-Founder & CEO
Former VP of Product at Salesforce (8 years). Led the Revenue Cloud product line to $2.1B ARR. Stanford MBA. Previously founded and sold RevMetrics to Marketo for $34M in 2019.
Salesforce
RevMetrics
Stanford
MW
Marcus Webb
Co-Founder & CTO
Former Principal Engineer at HubSpot, architected the CRM data platform serving 150K+ customers. MIT Computer Science. 3 patents in ML-based customer analytics. Previously CTO at DataPulse (acquired by Zendesk).
HubSpot
DataPulse
MIT
PR
Priya Rajan
Chief Revenue Officer
Former VP of Sales at Gong.io, scaled revenue from $8M to $120M ARR in 3 years. Expert in PLG and enterprise sales motion. Built and led 80-person sales organization. Wharton MBA.
Gong.io
Outreach
Wharton
DT
David Torres
VP of Engineering
Former Staff Engineer at Google (AI/ML division). Led development of Google's internal revenue forecasting system. PhD in Machine Learning from Carnegie Mellon. 12 years building enterprise-scale ML systems.
Google
DeepMind
CMU
Advisory Board
RH
Robert Hayes
Former CRO, Workday · Board Member, 3 public SaaS cos
SL
Sarah Lin
Partner, Sequoia Capital · Led investments in Figma, Notion
JM
James Morrison
Former VP Engineering, Stripe · AI/ML infrastructure expert
NK
Nina Kapoor
Former CMO, Zendesk · GTM strategy and brand building
Team Composition
34
Full-time employees
47%
Engineering & Product
8.2 yrs
Avg leadership experience
11
Financial Projections
The following projections are forward-looking statements based on current business performance, market analysis, and management assumptions. Actual results may differ materially.
2026E
$8.1M ARR
+93% YoY
2027E
$18.4M ARR
+127% YoY
2028E
$38.2M ARR
+108% YoY
2029E
$71.6M ARR
+87% YoY
2030E
$124M ARR
+73% YoY
5-Year ARR Projection ($M)
Revenue vs. Operating Expenses ($M)
5-Year Financial Summary ($M)
| Metric | 2025A | 2026E | 2027E | 2028E | 2029E | 2030E |
|---|---|---|---|---|---|---|
| ARR | $1.0M | $8.1M | $18.4M | $38.2M | $71.6M | $124M |
| Revenue | $0.8M | $6.2M | $14.8M | $31.4M | $59.8M | $104M |
| Gross Profit | $0.6M | $4.8M | $11.7M | $25.5M | $49.7M | $87.4M |
| Gross Margin | 75% | 77% | 79% | 81% | 83% | 84% |
| Operating Expenses | $2.1M | $9.4M | $16.2M | $24.8M | $36.1M | $52.4M |
| EBITDA | ($1.5M) | ($4.6M) | ($4.5M) | $0.7M | $13.6M | $35.0M |
| EBITDA Margin | — | — | — | 2% | 23% | 34% |
| Customers | 62 | 340 | 720 | 1,380 | 2,400 | 3,800 |
Path to Profitability
NexaFlow reaches EBITDA breakeven in Q3 2028, approximately 24 months post-Series A close. This timeline is supported by:
- Gross margin expansion from 78% to 84% as infrastructure costs scale
- Sales efficiency improvements as brand recognition reduces CAC
- Net Revenue Retention of 118%+ driving organic ARR growth
- Operating leverage as G&A costs grow slower than revenue
Key Assumptions
New Customer Growth
+15–20 new logos/month post-Series A
ACV Growth
$22.4K → $32.6K by 2028 (upsell + enterprise mix)
Net Revenue Retention
Maintained at 115–120% through expansion
Gross Margin
Improving 1–2% annually via infrastructure optimization
Headcount
34 → 95 FTE by end of 2027
12
Funding Request & Use of Funds
SERIES A ASK
$18,000,000
Pre-money valuation: $72M · Post-money: $90M
Implied ARR multiple: 17.1x (current ARR)
Runway
24 months
Target Close
Q3 2026
Lead Investor
Seeking
Structure
Preferred Equity
Use of Funds
Allocation Breakdown
Sales & Marketing
$7.2M (40%)
Expand sales team from 6 to 22 AEs · Double marketing budget · Launch partner channel
Product & Engineering
$5.4M (30%)
NexaIntel™ v3.0 · Generative AI copilot · Mobile app · API marketplace
Customer Success
$2.7M (15%)
Scale CS team · Build onboarding automation · Reduce time-to-value to <14 days
G&A & Operations
$1.8M (10%)
Finance, legal, HR infrastructure · NYC office · Enterprise compliance
Working Capital Reserve
$0.9M (5%)
Strategic reserve for opportunistic hires and market expansion
18-Month Milestones Post-Close
Months 1–6
Hire 18 AEs
Launch partner program
NexaIntel™ v3.0
Reach $12M ARR
Months 7–12
500 customers
Launch AI copilot
Enterprise tier GA
Reach $18M ARR
Months 13–18
API marketplace
APAC expansion
Series B ready
Reach $28M ARR
13
Exit Strategy
NexaFlow is building toward a $1B+ outcome through either a strategic acquisition by a major enterprise software player or an IPO on the path to $200M+ ARR. Both pathways are well-supported by market precedent and strategic logic.
PRIMARY PATH
Strategic Acquisition
Horizon: 4–6 years · Target: 2030–2032
NexaFlow's unified RevOps platform and proprietary AI engine make it a highly strategic asset for enterprise software companies seeking to expand their revenue intelligence capabilities.
STRATEGIC ACQUIRERS
Salesforce
SAP
Microsoft
HubSpot
Workday
Oracle
Strategic Rationale
- Fills critical AI/RevOps gap in enterprise suites
- 187 mid-market customers as cross-sell base
- NexaIntel™ proprietary data and IP
- Comparable: Salesforce acquired Tableau ($15.7B), Slack ($27.7B)
SECONDARY PATH
IPO
Horizon: 6–8 years · Target: 2032–2034
At $200M+ ARR with strong growth and improving margins, NexaFlow would be a compelling public market candidate in the enterprise SaaS category.
PUBLIC MARKET COMPS
CompanyARR MultipleOutcome
Gong.io~20x ARR$7.25B
Clari~18x ARR$2.6B
Gainsight~15x ARR$1.1B
NexaFlow (2030E)~15x ARR~$1.1B
Investor Return Scenarios
Scenario
Exit Year
ARR at Exit
ARR Multiple
Enterprise Value
Series A Return
Bear Case
2031
$65M
10x
$650M
3.6x MOIC
Base Case
2030
$124M
15x
$1.86B
10.3x MOIC
Bull Case
2029
$180M
20x
$3.6B
20x MOIC
14
Risk Factors & Mitigation
NexaFlow's management team has identified the following key risk factors and has developed specific mitigation strategies for each. Investors should carefully consider these risks alongside the opportunity.
HIGH IMPACT
Competitive Response from Salesforce/HubSpot
Large incumbents could develop competing AI features or acquire a competitor, leveraging their existing customer relationships.
MITIGATION
Deep integration switching costs (18+ months of data), proprietary NexaIntel™ IP, mid-market focus where incumbents underserve, and 3 patents pending create durable defensibility.
MEDIUM IMPACT
Talent Acquisition & Retention
Competition for AI/ML engineers and senior sales talent is intense. Key person dependency on founding team.
MITIGATION
Competitive equity packages, strong culture (4.8/5 Glassdoor), remote-first policy, and Series A capital enabling market-rate compensation. Succession planning in place for all C-suite roles.
MEDIUM IMPACT
Macroeconomic Sensitivity
B2B SaaS spending contracts during economic downturns. Mid-market customers may reduce software budgets.
MITIGATION
NexaFlow delivers measurable ROI (avg $280K annual savings per customer), making it a "save money" tool rather than a discretionary spend. 94% renewal rate through 2024–2025 downturn validates resilience.
MEDIUM IMPACT
Data Privacy & Regulatory Risk
Evolving data privacy regulations (GDPR, CCPA, emerging AI regulations) could require significant product changes.
MITIGATION
SOC 2 Type II certified, GDPR compliant, privacy-by-design architecture. Dedicated compliance team. Regulatory changes may actually benefit NexaFlow by raising barriers for less-compliant competitors.
LOWER IMPACT
Technology Execution Risk
AI model performance could degrade or fail to improve as expected. Infrastructure scaling challenges at 10x current load.
MITIGATION
World-class engineering team (ex-Google, HubSpot). Cloud-native architecture designed for scale. 99.97% uptime SLA maintained. Continuous model retraining pipeline in production.
LOWER IMPACT
Customer Concentration
Top 10 customers represent 28% of ARR. Loss of a major customer could impact near-term metrics.
MITIGATION
Actively diversifying customer base. No single customer exceeds 4% of ARR. 94% renewal rate and 118% NRR demonstrate strong retention. Series A capital accelerates diversification.
15
Appendix
A. Customer Cohort Analysis
Net Revenue Retention by cohort quarter. All cohorts show expansion above 100%, confirming strong product-market fit and upsell motion. The 2024 cohort is NexaFlow's strongest to date at 127% NRR.
B. CAC Payback by Channel
Inbound/PLG channels deliver the fastest payback at 2.8 months. Partner channel, while slower to ramp, delivers the highest LTV customers. Series A investment will accelerate the partner channel build-out.
C. Technology Stack
AI/ML
PyTorchHugging FaceMLflowRay
Backend
PythonFastAPIPostgreSQLRedis
Infrastructure
AWSKubernetesTerraformDatadog
Frontend
ReactTypeScriptGraphQLStorybook
D. Cap Table Summary
| Shareholder | Shares | Pre-Series A % | Post-Series A % |
|---|---|---|---|
| Alexandra Chen (CEO) | 4,200,000 | 42.0% | 33.6% |
| Marcus Webb (CTO) | 3,800,000 | 38.0% | 30.4% |
| Apex Ventures (Pre-seed) | 1,000,000 | 10.0% | 8.0% |
| Angel Investors | 500,000 | 5.0% | 4.0% |
| Employee Option Pool | 500,000 | 5.0% | 4.0% |
| Series A Investors (New) | 2,500,000 | — | 20.0% |
| Total | 12,500,000 | 100% | 100% |
E. Selected Customer Logos
DataBridge
CloudStack
Meridian SaaS
Vertex Analytics
PulseHR
Nexus Commerce
Orbit CX
Beacon AI
Stratum Labs
Prism Data
N
Let's Build the Future of Revenue Intelligence Together
We are seeking a lead investor who shares our conviction that AI-native RevOps will become the operating system for every B2B revenue team.
Alexandra Chen, CEO
alex@nexaflow.io · +1 (415) 555-0192
Marcus Webb, CTO
marcus@nexaflow.io · +1 (415) 555-0193
Website
nexaflow.io/investors
This investor memorandum has been prepared by NexaFlow, Inc. solely for informational purposes and does not constitute an offer to sell or a solicitation of an offer to buy any securities. This document contains forward-looking statements that involve risks and uncertainties. Past performance is not indicative of future results. This document is confidential and intended solely for the use of the individual or entity to whom it is addressed.