How Zerodots Capital 10x'd Due Diligence Capacity

Success StoriesSathya Maren, CEOJan 14, 2026

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How Zerodots Capital 10x'd Due Diligence Capacity While Cutting Assessment Time

Case study: How Zerodots Capital used CXingularity to 10x their VC due diligence capacity while cutting assessment time.

Sathya Maren

CEO

January 14, 2026

CONTENT

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How Zerodots Capital 10x'd Due Diligence Capacity While Cutting Investment Losses by 64%

AI-Powered Financial Due Diligence Transforms VC Deal Flow and Portfolio Monitoring

Executive Summary

Zerodots Capital, a Dubai-based venture capital firm focused on MENA fintech and embedded finance startups, faced the challenge every high-velocity VC confronts: how to evaluate more deals without sacrificing due diligence quality.

With 800+ inbound deals annually and a 3-person investment team, Zerodots was drowning in pitch decks while missing opportunities.

The Challenge (Q4 2022)

800+ inbound deals/year, only 35-40 evaluated deeply (4-5% coverage)
18-24 days average financial due diligence timeline
3-person investment team unable to scale
Zero systematic monitoring of 42 existing portfolio companies
Lost opportunities: High-potential deals accepted competing term sheets during Zerodots' slow DD

The Transformation (16 Months with CXingularity)

420 deals evaluated with deep financial DD (52.5% coverage, up from 4-5%)
4.2 days average financial due diligence timeline (-82%)
67 portfolio companies monitored continuously with real-time alerts
€2.8M in follow-on capital saved by detecting portfolio company distress early
64% reduction in investment losses (write-offs and down rounds)

The Business Impact

12 new investments in high-conviction opportunities previously missed
€18M fund deployment with higher quality selection
3 exits accelerated through proactive portfolio support
€42M fund valuation increase (unrealized gains from better picks + loss prevention)
Market reputation: "Fastest DD in MENA fintech"

The VC Speed Paradox: Move Fast Without Breaking Due Diligence

The Venture Capital Reality

In early-stage fintech investing, speed is competitive advantage:

Hot deals have 5-7 competing term sheets
Founders choose investors based on conviction speed
Slow DD = missed opportunities, not "thorough analysis"

But speed without rigor is reckless:

67% of seed/Series A startups fail or return <1x
Financial misrepresentation is common (34% of pitches have material inaccuracies)
Post-investment, 42% of portfolio value destruction happens in first 18 months
Most VCs discover financial issues after investment, when it's too late

The traditional VC approach:

Optimize for either speed or diligence:

Path 1: Move Fast

Light initial screening
Trust founder narratives
Invest quickly to win deals
Result: High deal volume, high loss rates (18-24% write-off rates)

Path 2: Move Slow

Deep financial analysis
Extensive reference checks
Conservative approval process
Result: Thorough diligence, missed opportunities (best deals go to faster VCs)

Zerodots Capital wanted both: Speed to win competitive deals + rigor to avoid landmines.

Traditional DD processes couldn't deliver. CXingularity could.

November 2022: The Deal That Changed Everything

The Missed Opportunity

A Dubai-based embedded finance startup ("PayTech") approached Zerodots with a compelling pitch:

Traction: AED 24M GMV, 840 merchant partners, 67% MoM growth
Team: Ex-PayPal, ex-Stripe executives
Market: Addressing AED 8B SME payments gap in UAE
Ask: USD 3M seed round at USD 15M pre-money valuation

Zerodots' timeline:

Week 1-2: Initial screening, partner meetings, market analysis
Week 3-4: Financial due diligence (bank statements, revenue analysis, unit economics)
Week 5: Legal DD, reference checks
Week 6: Investment committee, term sheet drafting

Week 4 (midway through Zerodots' DD): PayTech accepted a term sheet from a competing VC who completed DD in 7 days.

12 months later: PayTech raised Series A at USD 120M valuation (8x markup). Zerodots' USD 3M would have been worth USD 24M unrealized.

Cost of slow DD: USD 21M unrealized gain (opportunity cost).

The Wake-Up Call

Managing Partner Ravi Sharma convened an urgent strategy session:

"We can't keep losing deals because our DD takes 3-4 weeks. But we also can't cut corners—last year we wrote off two investments that should never have passed financial DD. We need to be both faster AND better."

The constraints:

Can't hire 10 more analysts (fund economics don't support it)
Can't sacrifice DD quality (fiduciary duty to LPs)
Can't automate founder assessment or market analysis (inherently qualitative)

The insight:

Financial due diligence (30-40% of DD timeline) is:

Data-intensive (bank statements, financials, metrics)
Rules-based (revenue verification, burn rate analysis, runway calculation)
Repeatable (same analysis for every deal)

= Perfect for AI automation

The decision: Partner with CXingularity to automate financial DD while investment team focuses on strategic/qualitative assessment.

The Solution: CXingularity as Zerodots' DD Intelligence Layer

December 2022: Rapid Deployment

CXingularity deployed across two critical workflows:

Traditional Zerodots Financial DD Process (Pre-CXingularity):

Week 1: Data Collection

Request bank statements (6-12 months)
Request financial statements
Request cap table, contracts, metric dashboards
Chase founders for missing documents

Week 2-3: Analysis

Manual extraction from PDFs/spreadsheets
Revenue verification (bank deposits vs. claimed revenue)
Burn rate and runway calculation
Unit economics modeling
Customer concentration analysis
Churn analysis (for SaaS/subscription businesses)

Week 3-4: Reporting

Compile findings into investment memo
Flag concerns for deeper investigation
Present to partners for decision

Timeline: 18-24 days average Analyst effort: 60-80 hours per deal

CXingularity-Powered Process:

Day 1: Automated Data Ingestion

Startup uploads documents to secure portal (bank statements, financials, metrics)
CXingularity OCR + NLP extracts structured data
Automated validation (document authenticity, completeness checks)

Day 2-3: Automated Financial Analysis

Revenue Verification:

Cross-reference claimed revenue with bank deposits
Flag discrepancies (e.g., "Startup claims AED 800K MRR, deposits only AED 620K")
Identify revenue concentration (top 5 customers = 78% of revenue)

Burn Rate & Runway Analysis:

Calculate monthly burn (automated from bank transactions)
Project runway under current burn vs. growth scenarios
Flag concerning trends (burn accelerating faster than revenue growth)

Unit Economics Modeling:

CAC (Customer Acquisition Cost) calculated from marketing spend + sales costs
LTV (Lifetime Value) modeled from churn data + average revenue per customer
LTV/CAC ratio computed and benchmarked vs. industry standards

Cash Flow Health:

Working capital analysis (AR/AP aging)
Cash conversion cycle
Liquidity stress indicators

Financial Red Flags:

Inflated metrics (claimed metrics vs. financial reality)
Hidden liabilities (detected in bank transactions)
Unsustainable unit economics
Revenue concentration risk
Burn rate trajectory (runway <12 months)

Day 3-4: Analyst Review & Deep Dives

CXingularity flags specific areas requiring human judgment
Analysts investigate flagged concerns
Focus time on strategic questions, not data extraction

Day 4: Investment Committee Report

Automated generation of financial DD summary
Key metrics dashboard (revenue, burn, runway, unit economics)
Risk assessment with specific evidence
Comparison to industry benchmarks

Timeline: 4.2 days average Analyst effort: 8-12 hours per deal (focused on judgment, not data work)

The Results (First 16 Months):

Metric

Before CXingularity

After CXingularity

Change

Capacity

Deals with deep financial DD

35-40/year

420/year

+975%

DD coverage (% of inbound)

4-5%

52.5%

+10.5x

Speed

Average financial DD time

18-24 days

4.2 days

-82%

Analyst hours per deal

60-80 hrs

8-12 hrs

-85%

Quality

Material discrepancies detected

62%

89%

+44%

False positives (good deals flagged as bad)

18%

-78%

Investments with financial issues post-close

23%

-74%

Three Deals That Validated the Approach:

Deal 1: The Revenue Inflation Discovery (Prevented Bad Investment)

Startup pitch: Fintech SaaS with AED 1.2M ARR, 140% YoY growth

CXingularity analysis (Day 2):

Claimed ARR: AED 1.2M (AED 100K MRR)
Actual bank deposits: AED 67K/month average
Discrepancy: 33% revenue inflation

Investigation:

Startup was counting "annual contracts signed" as ARR
But 40% of contracts never converted to paying customers
Actual MRR was AED 67K, not AED 100K

Decision: Pass (inflated metrics, weak commercial execution)

18 months later: Startup shut down after burning through seed capital without achieving product-market fit

Value: Avoided USD 500K investment that would have been 100% loss

Deal 2: The Hidden Burn Discovery (Negotiation Leverage)

Startup pitch: B2B payments platform, AED 8M ARR, raising USD 5M Series A

CXingularity analysis (Day 3):

Revenue verified: AED 8.2M ARR (accurate)
BUT burn rate: AED 520K/month (vs. AED 380K claimed)
Hidden spend: AED 140K/month in founder-related expenses buried in "operations"

Investigation:

Founders traveling extensively (conferences, "customer meetings")
Office renovation costs
Consultant fees (friends/family of founders)

Decision: Invest, but negotiate harder terms

Original ask: USD 5M at USD 40M pre-money
Revised: USD 4M at USD 32M pre-money (20% discount)
Condition: Cost discipline requirements in term sheet

Outcome: Strong performer, on track for Series B at USD 140M valuation

Value: Better valuation + downside protection from cost controls

Deal 3: The Fast-Moving Opportunity (Won Competitive Deal)

Startup pitch: Embedded finance API for e-commerce platforms, AED 3.2M ARR, 4 competing term sheets

Timeline competition:

Competing VCs: 10-14 day DD timelines
Zerodots (with CXingularity): Completed financial DD in 3.5 days

CXingularity advantage:

Day 1: Data uploaded
Day 2: Automated analysis complete
Day 3: Analyst review, validated strong fundamentals
Day 3 evening: Partners approved, term sheet drafted
Day 4 morning: Term sheet delivered to founder

Result: Zerodots won the deal with fastest, most confident term sheet

18-month performance: 240% ARR growth, Series A at 4.2x markup

Value: USD 2.5M investment → USD 10.5M valuation (unrealized)

The Traditional VC Portfolio Management Problem:

Most VCs monitor portfolio companies through:

Quarterly board meetings (backward-looking, 3-month lag)
Monthly investor updates (self-reported, often optimistic)
Founder calls (relationship-dependent, ad hoc)

Problems with this approach:

Lag time: Issues discovered 2-4 months after they start
Bias: Founders delay sharing bad news
Inconsistency: Monitoring intensity varies by relationship strength
Reactive: By the time VC notices problem, it's often too late

Zerodots' pre-CXingularity portfolio monitoring:

42 portfolio companies
Zero systematic monitoring between board meetings
Crisis management: Only engaged when founders requested help (usually too late)

CXingularity-Powered Portfolio Monitoring:

All 67 portfolio companies (grew from 42 after deployment) connected to continuous monitoring:

Financial Health Monitoring:

Bank account integration (with startup consent, read-only access)
Real-time cash balance tracking
Burn rate monitoring (actual spend vs. projections)
Runway alerts (when projected runway drops below thresholds)

Revenue & Growth Monitoring:

Revenue tracking (deposits, payment processor data)
Growth rate calculation (MoM, QoQ trends)
Customer metrics (new customers, churn, expansion revenue)

Risk Signal Detection:

Cash flow deterioration (burn accelerating, revenue slowing)
Customer concentration (over-reliance on few customers)
Churn spikes (customer retention degrading)
Unusual transactions (large unexpected expenses, founder loans)

Early Warning Alert System:

Level 1 (Critical - Immediate Partner Notification):

Cash balance below 3 months runway
Revenue decline >20% for 2 consecutive months
Major customer loss (>15% of revenue)
Key employee departures (detected via payroll changes)

Level 2 (High - Review Within 48 Hours):

Burn rate increase >30% vs. plan
Customer churn spike
Runway declining faster than projected
Delayed fundraising rounds

Level 3 (Medium - Weekly Review):

Revenue growth slowing
Unit economics deteriorating
New competitors emerging (external signals)
Market condition changes

Results (First 16 Months):

Metric

Before CXingularity

After CXingularity

Change

Monitoring Coverage

Companies monitored systematically

0 (ad hoc only)

67 (100%)

Monitoring frequency

Quarterly

Real-time

Early Warning

Average issue detection time

87 days (post-quarterly)

12 days

-86%

Issues detected before crisis

23%

94%

+309%

Portfolio Protection

Companies requiring emergency capital

-75%

Portfolio company shutdowns

-75%

Average loss per failed investment

USD 680K

USD 240K

-65%

Three Portfolio Saves That Paid for CXingularity 10x Over:

Save 1: The Runway Crisis (Detected 8 Weeks Early)

Portfolio Company: SaaS startup, USD 800K Zerodots investment

CXingularity Alert (June 2023):

Trigger: Burn rate increased 42% in 30 days
Cash balance: USD 1.8M (runway: 4.2 months at current burn)
Revenue: Flat (no growth to justify burn increase)

Investigation:

Startup hired 8 new engineers aggressively
Burn jumped from USD 280K/month → USD 398K/month
Founders believed aggressive hiring would accelerate product development
No discussion with board about burn increase

Zerodots Action:

Emergency partner call with founders (Week 1)
Discovered: Hiring was premature, product roadmap unclear
Intervention: Pause hiring, refocus on core product, extend runway

Alternative scenario (without monitoring):

Issue discovered at Q3 board meeting (8 weeks later)
Runway: 1.2 months
Panic fundraising in weak position
Down round or shutdown

Outcome with CXingularity:

Startup extended runway to 11 months
Achieved product-market fit milestones
Raised Series A on strong terms (USD 8M at 3.2x markup)

Value saved: USD 800K investment preserved + USD 2.56M unrealized gain

Save 2: The Customer Concentration Risk (Prevented Catastrophic Loss)

Portfolio Company: B2B fintech, USD 1.2M Zerodots investment

CXingularity Alert (September 2023):

Trigger: Single customer now represents 67% of revenue (up from 42%)
Context: Startup's top customer significantly increased usage
Risk: Over-dependence on single customer

Zerodots Action:

Flagged as high-risk concentration
Advised founders to diversify customer base urgently
Introduced startup to 3 potential enterprise customers from Zerodots network

Two months later:

Top customer filed for bankruptcy (unrelated to startup's product)
Would have been 67% revenue loss
But startup had already closed 2 new enterprise deals (covering 40% of lost revenue)
Managed decline instead of catastrophic crash
Top customer bankruptcy discovered when revenue crashed
No time to replace revenue
Emergency fundraising from position of weakness
Likely shutdown or fire sale

Outcome with CXingularity:

Startup survived customer bankruptcy
Rebuilt revenue base (now top customer = 28% of revenue, healthy diversification)
On path to profitability

Value saved: USD 1.2M investment preserved

Save 3: The Zombie Company Early Exit (Maximized Recovery)

Portfolio Company: Payments startup, USD 600K Zerodots investment

CXingularity Monitoring (Months 6-12):

Revenue flat for 8 consecutive months
Burn stable but no growth
"Zombie" status: Not dying, not growing

Zerodots realized: Founders lost conviction, market timing wrong, acqui-hire likely best outcome

Action:

Proactive outreach to potential acquirers in Zerodots network
Positioned as "talent acquisition + IP"
Managed sale process

Outcome:

Acqui-hire by regional fintech (USD 2.4M)
Zerodots recovery: USD 720K (1.2x, vs. 0x if waited for natural shutdown)

Value saved: USD 720K recovered vs. USD 0 if company slowly died

Total Portfolio Protection (16 Months):

Event

Companies

Capital at Risk

Outcome with CXingularity

Value Protected

Runway crises averted

USD 4.8M

All stabilized, 5 raised follow-on

USD 4.8M

Customer concentration risks managed

USD 2.4M

Diversification achieved

USD 2.4M

Early exits optimized

USD 1.2M

Acqui-hires vs. shutdowns

USD 0.8M

Down rounds prevented

USD 3.2M

Series A on strong terms

USD 1.6M

Total

USD 11.6M

Proactive intervention

USD 9.6M

Loss prevention: USD 9.6M preserved vs. estimated losses without monitoring

The 16-Month Transformation: From Deal Filter to Deal Engine

Zerodots Capital Performance:

Metric

2022 (Pre-CXingularity)

2024 (16 Months Post)

Change

Deal Flow

Inbound deals

780/year

820/year

+5%

Deep DD completed

420

+1,005%

DD coverage

4.9%

51.2%

+10.5x

Investment Quality

New investments

+200%

Avg. time to term sheet

32 days

8 days

-75%

Material DD issues post-investment

2 (33%)

1 (5.6%)

-83%

Portfolio Performance

Portfolio companies

+60%

Failed investments (shutdowns)

-75%

Down rounds

-100%

Successful exits

+150%

Fund Performance

Deployed capital

USD 12M

USD 30M

+150%

Portfolio markups (unrealized)

USD 18M

USD 78M

+333%

Write-offs

USD 2.8M

USD 1.0M

-64%

Fund MOIC (DPI + RVPI)

1.5x

2.6x

+73%

Market Position:

Zerodots became known for:

"Fastest DD in MENA fintech" (reputation spread among founders)
High-conviction speed (founders chose Zerodots over slower VCs)
Proactive portfolio support (portfolio founders praised Zerodots' early intervention)

LPs (Limited Partners) noticed:

Fund II fundraise: USD 50M target → USD 68M raised (oversubscribed)
LP feedback: "Zerodots' systematic DD and monitoring gave us confidence to increase commitment"

What Made This Work: VC + AI Lessons

1. AI Handles Data, Humans Handle Judgment

What CXingularity automated:

Data extraction (bank statements → structured data)
Revenue verification (deposits vs. claimed revenue)
Burn rate calculation
Red flag detection (discrepancies, concerning trends)

What partners still own:

Market assessment (is this a big opportunity?)
Team evaluation (can these founders execute?)
Strategic fit (does this align with our thesis?)
Deal terms (what valuation is appropriate?)

Result: 85% time savings on data work, 0% compromise on strategic judgment

2. Speed + Rigor Is Not a Tradeoff

Traditional belief: "Either move fast OR be thorough"

CXingularity reality: Automated rigor enables speed

Financial DD in 4.2 days (vs. 18-24 days)
Higher quality analysis (89% discrepancy detection vs. 62%)
More deals evaluated (420 vs. 38)

3. Post-Investment Monitoring Creates Outsized Value

Traditional VC: Focus on deal selection, light portfolio monitoring

Zerodots + CXingularity: Continuous portfolio monitoring = loss prevention + value creation

Portfolio value protection:

USD 9.6M in losses prevented through early intervention
64% reduction in write-offs
73% improvement in fund MOIC

4. Data Consistency Enables Pattern Recognition

After 420 deals evaluated with CXingularity:

Patterns discovered:

Startups with revenue/deposit discrepancy >15% = 78% failure rate
Burn rate acceleration >40% in single month = red flag (67% lead to down rounds)
Customer concentration >50% in single customer = 3.2x higher failure risk

Feedback loop: Each deal's outcome improves future DD models

5. Founder Transparency Increases

Unexpected benefit: Founders became more forthcoming

Why?

They knew Zerodots would verify everything (no point in inflating)
Fast DD process meant less time wasted on deals that wouldn't work
Transparent founders got faster term sheets

Result: Higher quality deal flow (founders self-select for transparency)

The Broader Implication: AI Doesn't Replace VCs, It Elevates Them

The Fear: "Will AI replace venture capitalists?"

The Reality:

AI replaces the data work that prevents VCs from doing their actual job: pattern recognition, relationship building, and strategic support.

What Zerodots partners stopped doing:

Manually extracting revenue data from bank statements
Building Excel models to calculate burn rates
Chasing founders for missing documents
Spending weekends reconciling financial discrepancies

What Zerodots partners started doing more of:

Meeting with 10x more founders
Deeper market research and pattern recognition
Proactive portfolio company support
Strategic value-add (intros, hiring, partnerships)

Ravi Sharma, Managing Partner:

"CXingularity didn't replace our judgment—it freed us to use it. We went from drowning in spreadsheets to having deep conversations with founders. Our job isn't to verify bank statements. It's to spot category-defining companies and help them win. CXingularity handles the former so we can focus on the latter."

The Path Forward: 2024-2026 Vision

Zerodots Capital's Expansion:

Fund II Strategy (USD 68M):

50 new investments over 36 months
Target: Series A fintech/embedded finance across MENA + emerging markets
Differentiation: Fastest DD + systematic portfolio monitoring

CXingularity Expansion:

Phase 1: Deeper Integration (Q2 2024)

Legal DD automation (contract analysis, IP verification)
Competitive intelligence (market positioning, competitor tracking)
Team assessment (LinkedIn/background verification)

Phase 2: Predictive Analytics (Q3 2024)

Startup success prediction models (based on 420 deals analyzed)
Fundraising readiness scoring
Exit probability modeling

Phase 3: Portfolio Co-Pilot (2025)

Give portfolio companies access to CXingularity insights
Benchmarking vs. peer cohorts
Burn optimization recommendations
Revenue growth playbooks

Market Opportunity:

If 10% of MENA VCs (estimated 200 active funds) adopted systematic DD:

2,000+ more deals evaluated deeply per year
USD 400M+ better capital allocation (avoiding bad deals)
30-40% improvement in fund performance

Zerodots' goal: Demonstrate the model, inspire the industry

Key Takeaways for Venture Investors

1. DD Speed Is Competitive Advantage

In hot markets, fastest term sheet wins the deal

But only if backed by rigorous analysis

Bad fast decisions = high write-off rates
Good fast decisions = best deals won

CXingularity enables: Speed without recklessness

2. Portfolio Monitoring ROI >> Deal Selection ROI

Zerodots' value creation:

Better deal selection: +USD 12M (from 18 investments vs. 6)
Portfolio loss prevention: +USD 9.6M (from early intervention)

Implication: Post-investment work matters as much as pre-investment

3. Data Work Is Not Investment Work

VCs are paid to:

Recognize patterns others miss
Build relationships with category-defining founders
Provide strategic support to portfolio companies

VCs are not paid to:

Extract data from PDFs
Calculate burn rates in Excel
Chase founders for bank statements

Automate the former, focus on the latter

4. Transparency Becomes Selection Mechanism

When founders know DD is rigorous and fast:

Transparent founders engage enthusiastically (faster close)
Non-transparent founders self-select out (save everyone time)

Result: Higher quality deal flow

5. Systematic > Heroic

Traditional VC portfolio management:

Partner has "gut feel" about portfolio company
Calls founder when concerned
Heroic interventions occasionally work

CXingularity-powered management:

Systematic monitoring detects issues early
Data-driven interventions (not gut feel)
Proactive support prevents crises

Result: Consistent outcomes, not lucky saves

Conclusion: The Future of Venture Capital Is Data-Informed, Not Data-Driven

The Distinction:

Data-driven: Let algorithms make decisions Data-informed: Use data to enhance human judgment

Zerodots + CXingularity represents the latter:

Data handles: Verification, calculation, pattern detection
Humans handle: Strategy, relationships, conviction

Ravi Sharma's final thought:

"Ten years ago, VCs competed on relationships and pattern recognition. That's still true. But today, the best VCs also compete on analytical infrastructure.

We can meet with 10x more founders because we're not buried in financial models. We catch portfolio issues 8 weeks earlier because we're not waiting for quarterly updates. We win competitive deals because we move with confidence, not recklessness.

CXingularity didn't change what venture capital is. It changed what venture capitalists spend their time on. And that's made all the difference."

About CXingularity

CXingularity provides AI-powered financial due diligence and portfolio monitoring infrastructure for venture capital firms, growth equity investors, and corporate venture arms.

Platform Capabilities for VCs:

Pre-Investment Due DiligenceAutomated financial statement analysis
Revenue verification and growth trend analysis
Unit economics modeling (CAC, LTV, payback period)
Burn rate and runway calculation
Red flag detection and discrepancy analysis
Post-Investment Portfolio MonitoringReal-time financial health tracking
Early warning alerts for portfolio distress
Growth metric monitoring (MRR, churn, expansion)
Benchmarking vs. peer cohorts
Proactive intervention triggers
Deal Flow IntelligencePattern recognition across evaluated deals
Success prediction models
Sector and stage-specific benchmarks
Automated reporting to LPs

Results Across VC Clients:

10x increase in DD coverage (deals deeply evaluated)
82% reduction in financial DD timeline
64% reduction in portfolio write-offs
8-week earlier detection of portfolio company issues

Current Market: Active across MENA, Europe, and North America with venture capital, growth equity, and corporate venture clients

Learn More:

Website: www.cxingularity.com
Email: hello@cxingularity.com
Book a consultation: www.cxingularity.com/demo

For VCs and Institutional Investors:

If you're evaluating 100+ deals per year and want to discuss how systematic DD and portfolio monitoring can improve fund performance, reach out. We work with investors who believe speed and rigor are not mutually exclusive.

Contact: hello@cxingularity.com

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