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Blog

The Cost of Vendor Lock-In with Proprietary Proving Systems

An analysis of the long-term strategic risks and hidden costs of building on closed-source ZK proving stacks, arguing that ceding control of your core cryptographic primitive is a foundational mistake for any serious protocol.

introduction
THE VENDOR TRAP

Introduction

Proprietary proving systems create long-term, multi-layered costs that extend far beyond initial licensing fees.

Vendor lock-in is a tax on protocol agility and sovereignty. Choosing a closed proving system like RISC Zero or a custom zkVM commits you to a single vendor's roadmap, pricing, and security assumptions, creating a permanent operational liability.

The real cost is optionality. A proprietary stack prevents integration with emerging zkDSL standards like Noir or Halo2, blocking access to a competitive market of prover services and forcing reliance on a single point of failure.

Evidence: The Ethereum ecosystem's shift towards modularity and shared security (e.g., EigenLayer, Celestia) highlights the market's rejection of monolithic, closed systems in favor of interoperable, permissionless components.

thesis-statement
THE VENDOR LOCK-IN

The Core Argument: You Are Outsourcing Your Foundation

Choosing a proprietary proving system outsources your protocol's most critical security and upgrade path to a single vendor.

Proving is your security root. The validity proof is the cryptographic root of trust for any L2 or ZK-rollup. Outsourcing this to a closed-source system like zkSync's Boojum or Polygon zkEVM's prover means your chain's finality depends on a black box you cannot audit or fork.

Upgrade control becomes a negotiation. Protocol governance is illusory if core proving logic is proprietary. A vendor like Matter Labs or Polygon controls the roadmap, creating a single point of failure for features and security patches. This is the antithesis of credible neutrality.

The exit cost is prohibitive. Migrating away from a custom prover requires a full protocol rewrite, akin to Ethereum's transition from Proof-of-Work. Contrast this with RISC Zero or SP1, where the proof system is a verifiable, open-source component you integrate, not a service you rent.

Evidence: The Ethereum L2 ecosystem is already fracturing into proving silos. Interoperability and shared security suffer when every chain's proof verifier is a custom, opaque contract, creating a fragmented security landscape that benefits vendors, not users.

ZK PROVER ECOSYSTEM

The Lock-In Matrix: Proprietary vs. Open-Source Proving Stacks

A cost-benefit analysis of vendor lock-in risks and capabilities across dominant ZK proving system architectures.

Critical DimensionProprietary Stack (e.g., Polygon zkEVM, zkSync)Open-Source Stack (e.g., Scroll, Taiko)Agnostic Framework (e.g., RISC Zero, SP1)

Prover Code License

Source-available (custom)

Apache 2.0 / MIT

Apache 2.0 / MIT

Hardware Acceleration Portability

Prover Replacement Time (Est.)

12 months

3-6 months

< 1 month

Proving Cost Premium (vs. Open)

15-40%

Baseline (0%)

5-20% (framework overhead)

Custom Opcode / Precompile Support

Vendor-gated approval

Community-driven fork

Native via VM definition

Ecosystem Forkability

Audit & Bug Bounty Scope

Limited to vendor implementation

Full public audit surface

Focused on framework core

deep-dive
THE COST

Anatomy of a Lock-In: The Three Phases of Technical Debt

Adopting a proprietary proving system creates a predictable, compounding debt cycle that constrains protocol evolution.

Phase 1: Integration Debt is the initial cost. Teams commit to a single proving stack like Risc Zero or Succinct Labs, embedding their SDKs and custom circuits into core logic. This creates a monolithic architecture where the prover is a black box, preventing modular upgrades to individual components like the witness generator or recursion scheme.

Phase 2: Operational Debt escalates costs. The protocol becomes hostage to prover economics, where fee spikes or throughput limits from a vendor like Polygon zkEVM or zkSync Era directly throttle user experience. Teams cannot shop for cheaper, faster provers without a full re-architecture, creating a classic vendor pricing trap.

Phase 3: Innovation Debt is terminal. The protocol cannot adopt new cryptographic primitives like Binius or Plonky3 without the vendor's roadmap alignment. This stifles competitive features like private transactions or lighter clients, as seen in the slow adoption of proof aggregation across early zkRollups.

Evidence: The migration from zkSync Lite to zkSync Era required a full state transition, not a modular upgrade, demonstrating the existential risk of foundational lock-in. Protocols using EigenLayer's shared prover network avoid this by decoupling execution from proof generation.

counter-argument
THE TRAP

The Rebuttal: "But It's Faster to Ship"

Short-term deployment speed with a proprietary prover creates long-term technical debt and strategic vulnerability.

Proprietary proving systems are vendor lock-in. You trade initial deployment speed for permanent dependency on a single vendor's roadmap, pricing, and performance. This is the technical debt equivalent of building on a closed-source cloud provider like AWS in 2010.

The ecosystem standard is RISC Zero's zkVM. Open-source, auditable, and supported by a competitive market of prover networks. Choosing a proprietary alternative like Polygon zkEVM's Plonky2 or a custom STARK system isolates your stack from this innovation flywheel.

Your roadmap becomes hostage. Future upgrades, new opcodes, or performance optimizations require the vendor's prioritization. Contrast this with Ethereum's L2s using RISC Zero, where multiple teams contribute to a shared proving primitive, accelerating development for all.

Evidence: The cost of migration is prohibitive. Re-architecting a live chain's proving system post-launch to adopt a new standard like Boogie or SP1 requires a full security re-audit and months of engineering, a cost that kills agility.

case-study
THE COST OF VENDOR LOCK-IN

Case Studies in Cryptographic Sovereignty

Proprietary proving systems create systemic risk and hidden costs. These case studies show the tangible benefits of open, modular alternatives.

01

The StarkEx to StarkNet Migration Tax

Projects like dYdX and Sorare built on StarkEx's closed-source Cairo 0 faced a multi-million dollar migration cost to join the permissionless StarkNet with Cairo 1. This is a direct tax on innovation for early adopters.

  • Lock-In Cost: $XXM+ in engineering and audit overhead.
  • Time Penalty: 6-12 month roadmap delays for ecosystem projects.
  • Sovereignty Lost: Inability to fork or customize the proving stack.
$XXM+
Migration Tax
12mo
Delay
02

Polygon zkEVM vs. Proprietary Rollups

By adopting the Ethereum-equivalent zkEVM and open-sourcing its prover, Polygon created an exit ramp from any vendor. Contrast this with closed-circuit systems where the proving service is a black box.

  • Prover Competition: Multiple teams (e.g., Polygon Zero) can build faster/cheaper provers for the same chain.
  • Auditability: Full circuit verifiability vs. trusted setup assumptions.
  • Ecosystem Portability: Developers can deploy the same bytecode elsewhere.
100%
EVM Opcodes
Open
Source Prover
03

Aztec's Privacy Pivot & The Cost of Closure

Aztec's initial closed-source zkSNARK circuit library created a bottleneck. Their pivot to a publicly verifiable PLONK-based system with barretenberg highlights the innovation stifled by secrecy.

  • Development Friction: ~2 years of solo development before community contributions.
  • Audit Bloat: Repeated, expensive audits for a system only they could fix.
  • The Alternative: Noir's open DSL now allows anyone to build private circuits, distributing trust.
2Y
Solo Dev
Noir
Open DSL
04

The Shared Sequencer Escape Hatch

Rollups like Arbitrum and Optimism using centralized sequencers face MEV extraction and censorship risk. Projects like Astria and Espresso are building shared sequencer networks that act as a sovereignty-preserving off-ramp.

  • Liveness Risk Mitigation: Sub-second failover to an alternative sequencer set.
  • MEV Resistance: Proposer-Builder Separation (PBS) models can be enforced.
  • Cost: Avoiding lock-in prevents future sequencer rent extraction on $10B+ TVL.
$10B+
TVL at Risk
<1s
Failover
investment-thesis
THE VENDOR LOCK-IN TRAP

The VC Perspective: Betting on Foundational Primitives

Proprietary proving systems create long-term technical debt that erodes protocol value.

Proprietary provers are liabilities. A protocol's value accrues to its application layer, not its proving infrastructure. Locking a high-value ecosystem like Arbitrum or zkSync into a custom zkVM creates a single point of failure and innovation bottleneck.

Venture capital bets on optionality. Founders who adopt open standards like RISC Zero or SP1 gain leverage. They can switch provers, optimize costs, and avoid the Polygon zkEVM dilemma of rebuilding a full stack from scratch.

The exit multiple compresses. A protocol with a captive proving team trades scalability for acquirability. An acquirer inherits a complex, non-portable asset. The Starknet ecosystem demonstrates the counter-model, where Cairo's open tooling fosters a competitive prover market.

Evidence: The migration cost for a major L2 to replace its core prover exceeds $50M and 18 months of engineering time, a direct tax on innovation paid by tokenholders.

takeaways
VENDOR LOCK-IN COSTS

TL;DR for Protocol Architects

Proprietary proving systems create hidden long-term costs that cripple protocol flexibility and economic viability.

01

The Exit Tax: Switching Costs

Migrating away from a vendor like zkSync Era or Polygon zkEVM requires a full proving system re-audit and client rewrite. This creates a multi-million dollar and 6-12 month project, effectively locking you in.

  • Cost: $2M+ in engineering/auditing
  • Time: Lost protocol velocity and upgrades
  • Risk: Forking community and liquidity
$2M+
Exit Cost
6-12mo
Time Penalty
02

The Black Box: Opaque Roadmap Risk

Your protocol's scaling and feature roadmap is hostage to the vendor's priorities. Need a custom precompile or faster prover? You're now a feature request, not a client.

  • Dependency: Starknet's Cairo roadmap dictates your capabilities
  • Innovation Lag: Wait for vendor support for new cryptographic primitives
  • Negotiation Weakness: No leverage on fee pricing or SLAs
0%
Control
High
Roadmap Risk
03

The Solution: Agnostic Proof Systems

Adopt a modular stack with interchangeable components. Use a RISC-V-based zkVM like Risc0 or SP1, or a universal circuit framework like gnark or Halo2. This turns your proving layer into a commodity.

  • Portability: Deploy the same VM to any chain or EigenDA
  • Competition: Source proofs from multiple networks (e.g., Espresso, Avail)
  • Future-Proof: Integrate new proof systems without protocol changes
100%
Portability
>50%
Cost Leverage
04

The Starknet Example: Cairo Lock-In

Starknet's ecosystem is built entirely on Cairo. While powerful, it creates a closed universe. Apps cannot easily port to other L2s or L1s, and the proving market is controlled by a single entity.

  • Ecosystem Isolation: Dapps are Starknet-only
  • Prover Monopoly: StarkWare controls the proving market and economics
  • Tooling Debt: Entire developer toolchain is proprietary
1
Prover Vendor
High
Switching Friction
05

The Polygon zkEVM Fork: A Cautionary Tale

The open-sourcing of the Polygon zkEVM prover was a strategic move to avoid lock-in perceptions. It demonstrates that even "open" systems have immense integration depth, making a fork a massive undertaking rather than a simple copy-paste.

  • Integration Depth: Tight coupling with Polygon's bridge, sequencer, and data availability
  • Audit Surface: Fork requires re-auditing the entire integrated stack
  • Community Split: Risk of fracturing liquidity and developer mindshare
Massive
Fork Effort
Fragile
Ecosystem
06

The Economic Leverage of Agnosticism

Using a modular, agnostic proof stack turns infrastructure into a competitive bidding war. You can pit Risc0, SP1, and gnark teams against each other for better pricing and performance, just like Across and Socket do for bridging.

  • Cost Control: Negotiate prover costs based on market rates
  • Performance Optimization: Switch to the fastest/cheapest prover per batch
  • Resilience: No single point of failure in your proof generation
30-50%
Cost Savings
Multi-Source
Prover Supply
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Vendor Lock-In: The Hidden Cost of Proprietary ZK Proofs | ChainScore Blog