Use Cases
INVSBL supports payment and operational use cases where transactions should not be publicly visible. By limiting what transaction data is exposed on-chain, it enables workflows that are impractical on standard public blockchains.
Private Payroll
Salary and employee information exposed
Hidden compensation and organizational structure
Treasury Operations
Strategic moves visible to competitors
Confidential asset management
Grant Distributions
Recipient identities and amounts public
Anonymous distributions
Consumer Applications
User behavior tracked permanently
Privacy-native user experience
Tracking Mitigation
Permanent surveillance profiles
No observable transaction history
1. Private Payroll and Contributor Payments
1.1 The Problem
Teams, DAOs, and organizations often rely on public blockchains to compensate contributors, contractors, and service providers. Standard on-chain payroll exposes:
Contributor identities
Revealed through repeated payments to same addresses
Compensation structures
Exact salaries and payment differentials visible
Payout schedules
Payment frequency and timing patterns exposed
Organizational size
Number of contributors and roles can be inferred
Internal hierarchy
Payment amounts reveal organizational structure
1.2 The INVSBL Solution
INVSBL enables payroll and contributor payments without publishing recipient lists, payout amounts, or payment frequency.
Each payment remains isolated, preventing observers from reconstructing organizational structure or compensation models.
1.3 What Remains Private
Who gets paid
✓ Visible
✗ Hidden
How much
✓ Visible
✗ Hidden
How often
✓ Visible
✗ Hidden
How many people
✓ Visible
✗ Hidden
Org structure
✓ Inferrable
✗ Unknown
1.4 Example Scenario
1.5 Benefits
Protect employee financial privacy
Hide compensation structures from competitors
Prevent poaching based on salary intelligence
Maintain operational confidentiality
Protect organizational structure
2. Confidential Treasury Operations
2.1 The Problem
Treasury management on public blockchains exposes strategic behavior by default. Asset rebalancing, runway management, and internal reallocations can be observed in real time and analyzed retroactively.
Asset rebalancing
Competitors can front-run or copy strategies
Runway management
Financial position becomes public intelligence
Internal transfers
Strategic moves telegraphed to market
Cash management
Liquidity decisions visible to everyone
2.1 The INVSBL Solution
INVSBL allows organizations to:
Private fund movements
Move funds without signaling intent or timing
Confidential transfers
Execute internal transfers without public scrutiny
Strategic protection
Protect decisions from competitors, bots, or market participants
2.2 What Remains Private
Treasury activity remains verifiable and final while eliminating public visibility into operational strategy.
2.3 Example Scenario
2.4 Benefits
Prevent front-running and copycats
Hide financial position from competitors
Protect strategic timing
Maintain operational flexibility
Reduce market manipulation risk
3. Grant Distributions Without Public Mapping
3.1 The Problem
Grant programs and incentive distributions often require transparency at the governance level but confidentiality at the execution level. Public payments can unintentionally expose:
Recipient identities
Privacy concerns, safety risks
Funding amounts
Creates targets, competitive disadvantages
Program structure
Reveals strategy to competitors
Distribution patterns
Can be used against recipients
3.2 The INVSBL Solution
INVSBL enables grant distributions where:
Hidden recipients
Recipient lists are not published on-chain
Private allocations
Individual allocation amounts remain private
No reconstruction
Distribution graph cannot be rebuilt
3.3 Critical Use Cases
This is particularly important for:
Early-stage projects requiring stealth funding
Sensitive research funding in competitive fields
Jurisdictions with regulatory concerns
Situations with personal safety considerations
Whistleblower or activist support
3.4 Example Scenario
Benefits
Protect recipient privacy and safety
Hide funding strategy from competitors
Prevent targeting of successful projects
Enable stealth funding for sensitive work
Support confidential research
4. Privacy-Native Consumer Applications
4.1 The Problem
Consumer-facing applications built on public blockchains inherit the observability of the underlying network. This exposes:
User behavior
All transactions visible permanently
Payment habits
Spending patterns tracked
Interaction patterns
App usage fully observable
Financial profiles
Complete history available to anyone
4.2 The INVSBL Solution
INVSBL enables developers to build applications where:
No activity profiles
User transactions do not form public profiles
Tracking prevention
Payment behavior cannot be tracked or monetized by third parties
Consistent privacy
Privacy enforced across all user actions automatically
4.3 What This Enables
This allows blockchain-based applications to offer privacy standards closer to traditional consumer financial products.
4.4 Example Applications
Payment apps
Users transact without creating public spending history
E-commerce
Purchases don't reveal shopping behavior
Subscription services
Recurring payments stay private
Peer-to-peer payments
Send money without exposing relationships
Gaming
In-game purchases and earnings remain private
4.5 Comparison
4.6 Benefits
Build consumer apps without surveillance
Protect user financial privacy
Prevent behavioral tracking
Match traditional fintech privacy standards
Enable mainstream adoption
5. Mitigation of Third-Party and Government Tracking
5.1 The Problem
Blockchain data is increasingly used by analytics firms, regulators, and institutions as a source of financial intelligence. Even compliant and legitimate activity can be misinterpreted when viewed without context.
Analytics firms
Build detailed profiles for sale
Regulatory scrutiny
Innocent activity flagged retroactively
Institutional tracking
Financial behavior monitored permanently
Context loss
Legitimate actions misinterpreted
5.2 The INVSBL Solution
INVSBL reduces long-term exposure by ensuring that:
No public data
Transaction data is not publicly available for future analysis
No retroactive classification
Historical activity cannot be retroactively classified or reinterpreted
No permanent profiles
Users and organizations do not accumulate on-chain profiles
5.3 Long-Term Protection
By preventing the creation of observable transaction histories, INVSBL mitigates tracking risks without requiring changes to asset standards or custody models.
5.4 Example Scenario
5.5 Benefits
Prevent permanent surveillance profiles
Protect against retroactive analysis
Reduce misinterpretation risk
Maintain privacy as regulations evolve
No accumulation of exploitable data
6. Why Traditional Solutions Don't Work
Multiple wallets
Transaction graph analysis links them
Mixing services
Timing analysis, regulatory risk, trust assumptions
Off-chain payments
Loses blockchain benefits, introduces centralization
Private sidechains
Fragmented liquidity, limited adoption
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