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public-goods-funding-and-quadratic-voting
Blog

The Future of Due Diligence: Zero-Knowledge Proofs for Grantee Vetting

Current grant DAO processes force a brutal choice: transparency or privacy. This analysis argues ZK proofs are the missing primitive, enabling private verification of credentials, track records, and legal compliance to prevent fraud without exposing sensitive data.

introduction
THE ZK SOLUTION

The Transparency Trap: How Due Diligence Breaks Grant DAOs

Zero-knowledge proofs transform grantee vetting from a public liability into a private, verifiable process.

Public due diligence creates risk. Grant DAOs require deep vetting, but exposing applicant data on-chain creates legal and competitive liabilities. This forces vetting off-chain, reintroducing the centralized opacity DAOs were built to eliminate.

ZK proofs verify without exposing. Protocols like Sismo and zkPass allow applicants to generate proofs of credentials (KYC, GitHub activity, legal status) without revealing the underlying data. The DAO verifies the proof, not the data.

This shifts the trust model. The trust moves from the DAO's subjective investigation to the cryptographic validity of the ZK proof and the attestation issuer. This creates a verifiable, permissionless pipeline for grant applications.

Evidence: Sismo's ZK badges are used by Gitcoin Passport to prove unique humanity and reputation. This model processes thousands of verifications without exposing a single user's personal data to the grant committee.

thesis-statement
THE VERIFIABLE TRUTH

Core Thesis: ZK Proofs Are the Privacy Layer for Credential Networks

Zero-knowledge proofs enable granular, private verification of credentials, replacing opaque KYC and manual vetting with cryptographic trust.

ZK proofs decouple verification from data exposure. A grantee proves they meet specific criteria—like accredited investor status or KYC completion—without revealing the underlying documents. This creates a privacy-preserving credential layer for on-chain applications.

Current systems are binary and leaky. Traditional KYC providers like Jumio or Veriff require full document submission, creating honeypots of sensitive data. ZK credentials shift the risk model from custodial trust to cryptographic proof.

The standard is the World ID protocol. It uses semaphore-based ZK proofs to verify unique humanness without linking activity. This model extends to any attestation, from legal jurisdiction to professional certifications via frameworks like Sismo or Verax.

Evidence: Worldcoin has issued over 10 million World IDs, demonstrating the scalability of privacy-first credential networks for global, permissionless verification.

GRANTEE VETTING

The Diligence Dilemma: Current State vs. ZK-Enabled Future

A comparison of due diligence methodologies for grant programs, contrasting manual processes with automated, privacy-preserving systems enabled by zero-knowledge proofs.

Diligence DimensionCurrent Manual ProcessZK-Enabled Automated Process

Time to Complete Vetting

2-6 weeks

< 1 hour

Cost per Grantee Application

$500-$5,000

< $10

Data Privacy for Applicant

None (Full KYC/AML exposure)

Full (ZK proofs of eligibility)

Sybil Attack Resistance

Low (Manual pattern detection)

High (ZK-proof of unique humanity)

On-Chain History Verification

Manual wallet screening

Automated ZK attestation of history

Compliance Proof for Auditors

Paper trail & spreadsheets

Verifiable on-chain ZK proof

Scalability (Applications/Hour)

1-10

1,000

Relies on Centralized Database

deep-dive
THE VERIFIABLE VETTING PIPELINE

Architecting the ZK Credential Stack for Grant DAOs

Zero-knowledge proofs transform grantee due diligence from a trust-based audit into a privacy-preserving, automated verification process.

ZK Credentials replace manual KYC. Protocols like Sismo and Polygon ID issue attestations for identity, reputation, and past grant performance. A grantee proves they meet criteria without revealing the underlying sensitive data, eliminating manual document reviews.

On-chain reputation becomes a composable asset. A Gitcoin Passport score or EAS attestation from a previous funder serves as a reusable credential. This creates a portable reputation graph that reduces redundant vetting across DAOs like Optimism Collective and ArbitrumDAO.

The stack's bottleneck is proof generation cost. While verification is cheap, creating a ZK proof for a complex credential history requires significant compute. RISC Zero and zkSNARKs on Scroll or zkSync are reducing this cost, making per-application proofs feasible.

Evidence: Sismo's ZK Badges have been used in over 400,000 attestations, demonstrating demand for private, reusable credentials. Grant committees shift from scrutinizing individuals to auditing the credential issuers and proof systems.

protocol-spotlight
THE FUTURE OF DUE DILIGENCE

Builders in the Arena: Who's Pioneering ZK Credentials

A new wave of protocols is using zero-knowledge proofs to automate and privatize the vetting of grantees, DAO contributors, and institutional counterparties.

01

Sismo: The Modular Attestation Layer

Sismo provides a ZK protocol for creating reusable, privacy-preserving attestations from existing web2 and web3 data sources. It enables selective disclosure, allowing grantees to prove eligibility without exposing their entire identity.

  • Key Benefit: Enables Data Minimization; users prove they are in a top-tier DAO without revealing which one.
  • Key Benefit: Composable Credentials; attestations are portable across applications, reducing redundant KYC.
1M+
ZK Badges Minted
-99%
Data Exposure
02

Worldcoin's World ID: Proof-of-Personhood at Scale

World ID uses biometric hardware (Orbs) to generate a unique, private ZK proof of a user's humanness. This creates a global sybil-resistance primitive for grant distribution and governance.

  • Key Benefit: Global Sybil Resistance; enables fair airdrops and grants by filtering out bots.
  • Key Benefit: Maximum Privacy; the biometric data is never stored, only the irreversible ZK proof.
5M+
Verified Humans
0
Biometric Data Stored
03

Verax: The On-Chain Attestation Registry

Verax is a shared registry for on-chain attestations, built for transparency and interoperability. It allows protocols to issue and verify ZK-backed credentials, creating a public graph of trust for due diligence.

  • Key Benefit: Transparent Provenance; all attestation schemas and issuers are publicly auditable on-chain.
  • Key Benefit: Interoperable Standard; creates a universal language for credentials across Ethereum, Polygon, and Linea.
10x
Cheaper Verification
L1-L2
Cross-Chain
04

The Problem: Opaque, Manual Vetting

Traditional grantee vetting is a black box of manual reviews, sensitive data sharing, and high operational overhead. It creates friction, privacy risks, and limits scale.

  • Pain Point: Data Silos; each grant program conducts redundant KYC/AML checks.
  • Pain Point: Privacy Risk; founders must expose full identity and financial history to multiple committees.
100+
Hours Wasted
High
Compliance Cost
05

The Solution: Programmable, Private Proofs

ZK credentials transform vetting into a verifiable computation. Grantees generate proofs against public criteria (e.g., '>100 GitHub commits', 'KYC'd entity'), revealing only the boolean result.

  • Core Innovation: Trustless Verification; committees verify a proof's cryptographic validity, not the raw data.
  • Core Innovation: Automated Workflows; enables instant, criteria-based disbursement via smart contracts like Safe{Wallet}.
~2s
Verification Time
Zero-Knowledge
Data Shared
06

Ethereon & Polygon ID: The Enterprise Stack

These frameworks provide SDKs and infrastructure for issuing verifiable credentials (VCs) with optional ZK proofs. They are the backbone for institutional due diligence and regulated DeFi access.

  • Key Benefit: W3C Standard Compliance; ensures interoperability with legacy and regulated systems.
  • Key Benefit: Flexible Issuance; supports both permissionless attestations and KYC'd credentials from licensed providers.
W3C
Standard
SDK-First
Developer Focus
counter-argument
THE VERIFICATION SHIFT

Steelman: The Trust Minimization Paradox

Zero-knowledge proofs are redefining due diligence by shifting the burden of trust from subjective reputation to objective, verifiable computation.

Proof-of-Execution replaces Proof-of-Reputation. Traditional grant vetting relies on subjective assessments and track records, a system vulnerable to bias and opacity. ZK proofs allow grantees to cryptographically demonstrate they executed agreed-upon work without revealing proprietary logic, creating an immutable audit trail for milestones.

The paradox is that minimal trust requires maximal verification. Achieving true trustlessness demands rigorous, upfront circuit design and proof generation, a costly process that contradicts the lean startup ethos. This creates a tension between cryptographic perfection and practical agility that protocols like zkSNARKs and zkSTARKs must resolve.

Real-world adoption is nascent but directional. Projects like Aztec Network and Mina Protocol demonstrate the feasibility of private, verifiable state transitions. The emerging standard will be a hybrid model where subjective evaluation gates initial funding, but ZK attestations unlock subsequent tranches, automating compliance.

risk-analysis
THE HIDDEN COSTS

What Could Go Wrong? The Bear Case for ZK Vetting

Zero-knowledge proofs promise a revolution in due diligence, but their adoption faces significant technical and economic hurdles.

01

The Oracle Problem in a ZK Suit

ZK proofs verify computation, not truth. Vetting a grantee's financials requires trusted data feeds (oracles) for revenue, on-chain activity, and KYC. This creates a new attack vector and centralization risk.

  • Chainlink or Pyth become single points of failure.
  • Proofs are only as good as their input data, creating a false sense of security.
1
Critical Failure Point
100%
Garbage In, Garbage Out
02

Prohibitive Cost for Early-Stage Grantees

Generating ZK proofs is computationally expensive. For a small project, the cost of proving its legitimacy could exceed the grant itself, creating a regressive barrier to entry.

  • zkSNARK proving costs can be $1-$10+ per complex verification.
  • This favors well-funded applicants, defeating the purpose of inclusive grant programs.
$1-$10+
Per Proof Cost
>Grant
Potential Overhead
03

The Legal Black Box

A ZK proof is a cryptographic assertion, not an auditable trail. If a vetted grantee commits fraud, regulators and courts cannot 'open' the proof to see what went wrong in the vetting logic.

  • Creates liability nightmares for grant issuers like the Ethereum Foundation.
  • Shifts blame from human auditors to inscrutable code, complicating legal recourse.
0
Legal Precedent
High
Regulatory Risk
04

Complexity Overload for Grant Committees

DAO members and foundation boards are not cryptographers. Relying on ZK systems requires blind trust in the implementation (e.g., a circom circuit or Noir program), which may contain subtle bugs.

  • Verification keys must be managed and trusted.
  • A buggy circuit is worse than no automation, as it provides cryptographically verified false positives.
High
Cognitive Overhead
Critical
Trust Assumption
05

The Privacy Paradox

While ZK protects applicant data, it also hides the vetting criteria. This lack of transparency can lead to accusations of bias or hidden agendas encoded into the proving logic, eroding trust in the grant process itself.

  • Communities cannot audit for fairness, only for correctness.
  • Could enable hidden discrimination that is cryptographically enforced.
Zero
Process Transparency
High
Trust Required
06

Static Proofs in a Dynamic World

A ZK proof is a snapshot. A grantee verified as legitimate today could be compromised tomorrow (e.g., team exit scam, treasury hack). Continuous monitoring requires a new proof for each epoch, multiplying cost and complexity.

  • Contrast with real-time monitoring tools like Chainalysis or Nansen.
  • Creates a false sense of perpetual security from a one-time check.
1
Snapshot Validity
Continuous
Real-World Risk
future-outlook
THE VERIFIABLE RECORD

The 24-Month Horizon: From Grants to On-Chain Reputation

Zero-knowledge proofs will transform grantee vetting from subjective analysis into an objective, automated process based on immutable on-chain history.

ZK-verified on-chain resumes replace grant applications. Protocols like Polygon ID and Sismo enable grantees to prove past contributions—code commits, governance votes, or liquidity provision—without revealing their full identity. This creates a verifiable work history that is impossible to falsify.

Reputation becomes a composable asset. A grantee's ZK-attested credentials from Gitcoin Grants or Optimism's RetroPGF become portable tokens. These tokens function as a reputation collateral that can be staked or slashed, aligning incentives and automating eligibility checks for future funding rounds.

The counter-intuitive shift is from funding ideas to funding proven execution graphs. The diligence question changes from 'Can they build it?' to 'Have they already built something similar?'. This meritocratic filter eliminates narrative-based funding and redirects capital to builders with demonstrable on-chain footprints.

Evidence: Gitcoin Grants has distributed over $50M, creating a rich dataset of contributor behavior. Optimism's RetroPGF rounds have allocated millions based on community-voted impact, establishing a primitive model for reputation-based reward distribution that ZK proofs will automate and scale.

takeaways
ZK-DUE-DILIGENCE

TL;DR for Protocol Architects

Traditional grantee vetting is slow, subjective, and leaky. ZK proofs create a new primitive for verifiable, private, and automated compliance.

01

The Problem: Opaque Treasury Drain

Grant committees manually review proposals, creating a high-latency, high-friction process prone to bias and sybil attacks. Valuable data (e.g., team wallet history) is either hidden or publicly exposed.

  • ~6-12 week decision cycles
  • Subjective scoring and reputation gaming
  • Privacy leak for applicant on-chain history
12w
Cycle Time
High
Op. Risk
02

The Solution: ZK Attestation Oracles

Protocols like Sindri, RISC Zero, and zkPass enable grantees to generate a ZK proof of off-chain credentials or on-chain history. The DAO verifies a single proof, not raw data.

  • Prove >$1M TVL managed without revealing protocol names
  • Verify legal entity KYC without leaking personal data
  • Attest GitHub commit history or contribution graphs
Zero-Knowledge
Data Exposure
~5min
Verify Time
03

The Problem: Unverifiable Sybil Resistance

DAOs use simplistic checks (e.g., token holdings, POAPs) that are easily gamed. Proving unique humanity or a distinct project history without doxxing is currently impossible.

  • Airdrop farming and grant farming syndicates
  • Fake team profiles and inflated credentials
  • No proof-of-uniqueness primitive
>30%
Sybil Rate
Weak
Signal
04

The Solution: ZK Proof-of-Personhood & Graph

Integrate with Worldcoin (orb-verified uniqueness) or Holonym for private proof-of-personhood. Use zkGraphs to prove complex, multi-chain behavioral patterns without exposing wallets.

  • Prove unique human without biometric data
  • Attest on-chain reputation across Ethereum, Solana, Arbitrum
  • Demonstrate organic user base via privacy-preserving activity proofs
1:1
Human:Grant
Multi-Chain
Analysis
05

The Problem: Manual Compliance Bottleneck

Post-grant milestone tracking is manual and reactive. DAOs struggle to verify that funds were used as promised without intrusive, continuous monitoring.

  • No automatic milestone verification
  • Funds misallocation discovered too late
  • High overhead for grant managers
Reactive
Enforcement
High
Admin Cost
06

The Solution: Programmable ZK Conditions

Embed ZK conditions into smart grant contracts using zkSNARKs or zkVM circuits. Funds stream or unlock only upon proof of verifiable work (e.g., code merge, specific contract deployment).

  • Auto-release funds on proof of GitHub PR merge
  • Verify contract deployment with specific bytecode
  • Enable continuous, private auditing via zkML inference proofs
Auto-Execute
Milestones
-70%
Oversight Cost
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ZK Proofs for Grantee Vetting: The End of Public Diligence | ChainScore Blog