Proving is a commodity. The technical moat for zero-knowledge proof generation is collapsing. Open-source stacks like Risc Zero, SP1, and Jolt standardize the proving layer, turning custom circuits into a solved problem. The value migrates from the proving software to the execution of the proving service itself.
Why the Prover Business Model Is Shifting from Software to Services
The modular stack commoditizes prover software. Lasting value accrues to decentralized networks that sell verifiable compute as a service.
Introduction
The prover's core business model is shifting from selling software licenses to providing execution services, a change driven by commoditization and the rise of intent-based architectures.
The service layer captures value. A prover-as-a-service (PaaS) provider like Succinct or GeVulot monetizes uptime, cost efficiency, and integration, not IP. This mirrors the AWS evolution: the OS is free, but running it reliably at scale is the business. The service wrapper becomes the defensible asset.
Intent architectures accelerate this. Protocols like UniswapX and CowSwap abstract execution to a solver network. The prover service becomes a verifiable compute backend for these solvers, a utility layer paid per-proof, not per-license. The business model shifts from B2B software sales to B2B2C transaction fees.
The Core Thesis: Services Trump Software
The economic moat for ZK provers is moving from pure software licensing to integrated, performance-optimized services.
Proving is a commodity. The core algorithms for ZK proving (e.g., Plonk, STARK) are open-source. The differentiator is operational excellence in hardware acceleration, proving time, and cost efficiency, which are service-level attributes.
The market demands guarantees. Protocols like zkSync, Starknet, and Polygon zkEVM do not buy proving software; they contract for a SLA-backed proving service that guarantees uptime, latency, and finality.
Revenue follows risk. A service model (e.g., Risc Zero's Bonsai network) aligns incentives. The prover assumes operational risk and is paid per proof, unlike a software license which transfers all risk to the client.
Evidence: The dominant L2s all operate their own proving clusters. New entrants like EigenLayer AVS operators and Espresso Systems are explicitly building service marketplaces, not software kits.
The Commoditization of the ZK Stack
Zero-knowledge prover software is becoming a low-margin commodity, forcing a strategic shift from licensing to integrated service models.
Proving software is a commodity. The core proving algorithms (e.g., Plonk, STARKs) are open-source, and performance optimizations are rapidly standardized. The differentiation barrier is collapsing, making standalone SDKs like Polygon zkEVM's or zkSync's difficult to monetize directly.
The value shifts to services. The real business is providing managed proving infrastructure and end-to-end developer tooling. This mirrors the cloud transition from selling OS licenses to offering AWS/Azure. Protocols like Starknet and Aztec focus on the full-stack developer experience, not the prover unit.
Evidence: RISC Zero's Bonsai network and =nil; Foundation's Proof Market exemplify this. They don't sell prover code; they sell verifiable compute as a service, abstracting complexity for applications like Layer 2s and oracles.
Three Trends Driving the Shift
The prover market is consolidating as raw software becomes commoditized, forcing a pivot to specialized, high-value services.
The Commoditization of Proving Software
Open-source proving stacks like Risc Zero, SP1, and Jolt are making the core software a commodity. The value is shifting to the operational layer where performance, reliability, and cost matter.
- Key Benefit: Teams avoid the ~2-year R&D cycle of building a custom prover.
- Key Benefit: Competition shifts to prover uptime (>99.9%) and cost per proof (<$0.01).
The Demand for Real-Time, Cross-Chain State
Applications like on-chain gaming, high-frequency DeFi, and intents (e.g., UniswapX, Across) require sub-second state finality. A service-based prover network can provide this as a utility, unlike standalone software.
- Key Benefit: Enables new application classes with ~500ms latency guarantees.
- Key Benefit: Creates a defensible moat via network effects and integrated liquidity.
The Specialization of Proof Markets
General-purpose provers are inefficient. The future is verticalized services optimized for specific workloads: ZK rollups, private computation, or oracle attestations. This mirrors the shift from generic cloud to AWS AI chips or Snowflake's data cloud.
- Key Benefit: 10-100x efficiency gains for targeted use cases (e.g., EVM, SVM).
- Key Benefit: Service providers capture value through recurring revenue and enterprise SLAs.
Software vs. Services: Economic Comparison
Comparative analysis of the economic and operational trade-offs between selling prover software licenses versus providing proving-as-a-service.
| Key Metric | Software License Model | Proving-as-a-Service Model | Hybrid Model (e.g., Polygon zkEVM) |
|---|---|---|---|
Upfront Capital Expenditure (CapEx) | $500K - $2M+ | $0 | $100K - $500K |
Revenue Model | One-time license fee + annual support (15-20%) | Pay-per-proof (e.g., $0.01 - $0.10) | Blended: License + usage-based fees |
Gross Margin Potential |
| 30 - 60% (after compute costs) | 70 - 85% |
Client Operational Overhead | High (must hire & manage prover ops team) | None (fully managed service) | Medium (client manages some infra) |
Time-to-Production for Client | 3 - 6 months | < 1 week | 1 - 3 months |
Protocol Lock-in Risk for Client | High (vendor-specific circuit logic) | Low (service-agnostic proofs) | Medium (vendor-specific optimizations) |
Prover Vendor MoAT | Weakens over time (open-source erosion) | Strengthens with scale (cost & data advantages) | Moderate (brand & integration depth) |
Example Entities | Nil Foundation, RISC Zero | Espresso Systems, =nil; Foundation (Marketplace) | Polygon, zkSync |
The Service Layer Architecture
Prover economics are shifting from selling generic software to providing specialized, high-touch infrastructure services.
Proving is a commodity. The core proving software for ZK-Rollups is becoming a standardized good, with minimal differentiation between implementations from Polygon zkEVM, zkSync, and Scroll.
Value accrues to services. The competitive edge for firms like Succinct and Risc Zero is now orchestration and integration, managing complex proving pipelines and multi-chain state synchronization.
The model is SaaS, not OSS. Revenue stems from managed proving services, uptime SLAs, and custom circuit optimization, not from licensing the proving software itself.
Evidence: EigenLayer's restaking model exemplifies this, where operators provide cryptoeconomic security as a service, a higher-margin business than selling the underlying AVS software.
Early Movers in the Service Model
The proving layer is commoditizing, forcing infrastructure players to compete on execution, not just software.
The Problem: The Commoditization of the Prover
Open-source proving stacks like Risc Zero, Jolt, and SP1 are rapidly improving, making the core proving software a low-margin commodity. The real value shifts to operational excellence and integration.
- Hardware Advantage: Access to specialized hardware (GPUs, FPGAs) creates a ~10x performance moat.
- Economic Scale: Aggregating proofs from multiple chains amortizes fixed costs, driving down price per proof.
The Solution: Prover-as-a-Service (PaaS)
Platforms like Risc Zero's Bonsai and Espresso Systems abstract complexity, offering proving as a managed API. This mirrors the cloud compute evolution from on-prem servers to AWS.
- Developer UX: Teams deploy circuits, not infrastructure. Reduces time-to-market from months to days.
- Cost Predictability: Shifts model from CapEx (hardware) to OpEx (pay-per-proof), aligning costs with usage.
The Arbiter: Specialized Prover Networks
Networks like Succinct's SP1 Prover Network and Geohot's Axiom don't just sell software; they sell guaranteed, verifiable compute. They become trust layers for applications like ZK coprocessors and light clients.
- Network Effects: More applications → more proof volume → better hardware rates → lower prices.
- Vertical Integration: Control the full stack from client SDK to final proof settlement on-chain.
The Endgame: Proving as a Utility
The trajectory leads to proving becoming a standardized, low-cost utility, similar to AWS EC2 or Google Cloud Run. Winners will be those who build the most resilient, cost-effective platforms with the deepest integrations.
- Commodity Pricing: Proof costs trend toward the marginal cost of electricity + hardware depreciation.
- Strategic Bundling: The service becomes a loss-leader for higher-margin offerings like sequencing or interoperability (see Polygon AggLayer, Avail).
The Software Defense (And Why It Fails)
The prover-as-a-software business model is collapsing under commoditization pressure and misaligned incentives.
Proprietary software is a moat. Early zk-rollups like zkSync and StarkNet built custom provers as core IP, aiming to lock in developers and users.
Commoditization erodes the moat. Open-source frameworks like RISC Zero and SP1 commoditize zkVM construction, turning prover code into a configurable commodity.
The business model fails. Selling prover software requires perpetual R&D to stay ahead of open-source, creating a negative-sum game for all but the largest players.
Evidence: Polygon zkEVM migrated to a modular prover, and StarkWare's Boojum prover is open-source, signaling the shift from IP to execution.
Risks to the Service Model
The commoditization of proving hardware and software is forcing a strategic shift from selling tools to selling outcomes.
The Commoditization of Proving Software
Open-source proving stacks like Risc Zero, SP1, and Jolt are making core proving logic a public good. This erodes the moat for pure software vendors, turning their IP into a commodity. The value shifts to operational expertise and integration.
- Key Risk: Software licensing revenue collapses.
- Key Pivot: Monetize managed services, slashing client setup time from weeks to hours.
Hardware Proliferation & Price Wars
The rise of specialized hardware (e.g., Ulvetanna, Cysic) and cloud-based GPU/FPGA clusters is creating a race to the bottom on cost-per-proof. This turns proving into a low-margin utility business, similar to AWS compute.
- Key Risk: Capital-intensive hardware arms race with thinning returns.
- Key Pivot: Offer "Proofs-as-a-Service" with SLA guarantees on cost and latency, abstracting the hardware complexity.
The Bundling Threat from L2s & Rollups-as-a-Service
Major L2 stacks (OP Stack, Arbitrum Orbit, zkSync Hyperchains) and RaaS providers (Conduit, Caldera) are bundling proving services into their core offering. This makes standalone proving vendors redundant for the majority of new chain deployments.
- Key Risk: Being disintermediated by vertically-integrated infrastructure.
- Key Pivot: Specialize in cross-chain or app-chain specific proving (e.g., for Avail, Celestia rollups) where bundling is less prevalent.
The Liquidity & Finality Guarantee
End-users (bridges, exchanges) don't buy proofs; they buy finality and capital efficiency. Services like Across and Circle CCTP need guaranteed settlement, not just a validity certificate. A pure prover fails to solve the full problem.
- Key Risk: Being a middleman in a stack that demands full-stack ownership.
- Key Pivot: Build or partner to offer bonded services with slashing insurance and fast-lane liquidity, moving up the value chain.
The Endgame: Prover Networks as Utility
Proving is transitioning from a licensable software product into a commoditized, on-demand service, forcing a fundamental business model shift.
Proving is a commodity service. The value is no longer in the proving software itself but in the reliable, low-cost execution of the proving job. This mirrors the evolution from on-premise servers to AWS EC2 instances.
The moat is operational, not algorithmic. A network's advantage stems from capital efficiency, hardware optimization, and batch aggregation—not proprietary proving circuits. This is the ZK-Rollup-as-a-Service model pioneered by AltLayer and Gelato.
Revenue shifts from licenses to throughput. Instead of selling node software, prover networks like RiscZero and Succinct will monetize per-proof fees and sequencer revenue sharing, competing directly on cost-per-TPS.
Evidence: The rapid commoditization of the Ethereum L2 stack, where rollup frameworks like OP Stack and Arbitrum Orbit are free, demonstrates that infrastructure value accrues to the service layer, not the code.
TL;DR for Builders and Investors
The prover market is undergoing a fundamental shift from selling generic software to delivering specialized, high-value services.
The Commoditization of the Prover Stack
Open-source frameworks like Risc Zero, Jolt, and SP1 are making the core proving software a commodity. The value is shifting to the operational layer where performance, reliability, and integration matter.
- Key Benefit 1: Builders can launch a prover in weeks, not years, but face intense competition.
- Key Benefit 2: Investors must look beyond "another zkVM" to sustainable service moats.
The Service Layer is the New Business
The real revenue is in prover-as-a-service (PaaS) and shared sequencer models, not licensing. This mirrors the cloud transition from on-premise software to AWS.
- Key Benefit 1: Recurring revenue from throughput fees and MEV capture, not one-time sales.
- Key Benefit 2: Network effects from attracting rollups (like AltLayer, Eclipse) to your service stack.
Performance is the Only Moat
With software commoditized, the winning prover services will compete on latency, cost efficiency, and prover diversity. This requires deep hardware optimization (GPUs, ASICs) and efficient proving markets.
- Key Benefit 1: Sub-second finality attracts high-frequency DeFi and gaming apps.
- Key Benefit 2: Cost leadership via optimized hardware passes savings to rollups, creating a flywheel.
The Bundled Future: Prover + Sequencer + DA
Standalone provers will struggle. The winning model bundles proving with shared sequencing (like Espresso, Astria) and data availability (like EigenDA, Celestia). This creates a full-stack "rollup OS" with superior UX.
- Key Benefit 1: Single integration point for rollup developers simplifies stack decisions.
- Key Benefit 2: Captures value across the entire settlement stack, not just one layer.
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