7Block Labs on Integrating AI and Blockchain for Next-Gen Solutions

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The Specific Technical Headache Your AI Team is Facing

So, you’ve got a demo model up and running, which is awesome! But now comes the tricky part--you need to show the auditors, or even your customers, that this model is really delivering the results you said it would. Looks like your launch is facing some pretty big hurdles!

"What's the best way to figure out the specific model and weights that were used for every decision?" "Hey, what's our game plan to make sure the vendor isn't slipping in a cheaper model while we're doing the inference?" So, how can we make sure that cloud operators don’t have too much access to our sensitive workloads that are under regulation?

• “How are those L2/DA fees going to affect our overall costs and procurement budget?”

Nowadays, AI stacks can feel like a total mystery, right? Honestly, just saying “Trust us, it’s the right model” isn’t going to fly when you’re dealing with SOC2 Type II controls, or strict data-use policies. And let’s not even get started on trying to win over a Fortune 500 procurement committee with that approach--it’s just not gonna happen!

• Meanwhile, the economics of the chain are changing right under your feet. Ethereum's proto-danksharding (EIP-4844) has really shaken things up for rollups and their data management. Now, those blobs are only hanging around for about 18 days before they get pruned. It's a game changer! This has really lowered Layer 2 costs and separated blob fees from gas fees, which is great news for the overall cost of ownership (TCO). But you know what? That also means any assumptions you had about fees before might not be accurate anymore. (ethereum.org).

The Cost of Delay (Missed Deadlines, Rising Risk, Shrinking Budgets)

Compliance risk can be a bit of a minefield, right? If you’re not taking advantage of verifiable inference and environment attestation, you’re basically dragging out your audits. Plus, you’re expanding the trust boundary to bring cloud operators into the mix, which can lead to some major headaches down the line when it comes to breaches and disclosures. Trust me, you definitely don’t want to be dealing with that mess! Hey there! So, here’s the scoop: the H100 GPUs are now packing some serious upgrades with hardware-level Confidential Computing. We're talking device identity, remote attestation, and NRAS verification all built in. If you’re handling any Personally Identifiable Information (PII) or trade secrets and you're not using these features, you can bet your risk committee will have some challenging questions for you. Just a heads-up! (developer.nvidia.com).

Unverifiable AI can really throw a wrench in the gears of closing deals. Big clients are stepping up their game and are demanding that companies back up their claims with solid proof of origin and reproducibility. They want guarantees that using the same inputs will yield the same results, especially when it comes to Master Service Agreements (MSAs). If your procurement team isn’t able to connect your controls to SOC2 or ISO 27001--think things like access, logging, key custody, and attestation artifacts--you can pretty much count on that contract running into some serious roadblocks.

• Just a heads up, zk stacks come with their own set of risks. So, there’s this recent study that found some pretty concerning bugs related to soundness and completeness in a few zkVMs. What does that mean for you? Well, if you’re not on top of your game with version control, re-checking those receipts, and making sure you’re running regression checks in your continuous integration process, you might accidentally accept an execution that’s not even valid. Yikes! Just a heads-up to keep things tight! If you skip out on proper verification, you could run into some serious compliance issues when it comes time to ship your project.
  (arxiv.org).
• Budget exposure: The way you handle Data Availability can really influence your Total Cost of Ownership (TCO). With the recent updates to Dencun, we’ve seen blob pricing for a few Layer 2 solutions take a nosedive, now sitting at just a few bucks per MB. It’s pretty exciting stuff! What’s really awesome is that having these separate blob markets helps keep your fees steady. So you won’t have to deal with all those crazy ups and downs in gas prices. Hey there! Just a heads up--if you haven't updated your baseline to match the latest blob MB costs, you might want to take a look. Right now, the base cost is hovering around $1. If you're seeing 19 MB in one analysis, you could be overestimating your costs, or maybe even choosing the wrong Data Availability option for what you actually need in terms of throughput. Just something to keep in mind! If you want to dive deeper into the subject, you can find more info right here: conduit.xyz. It's definitely worth a look!

7Block’s Approach to Delivering “Verifiable AI” with Enterprise Guardrails

At 7Block, we're all about mixing AI and blockchain in a really smart way. We like to keep it simple with our approach: we use “ZK-when-you-need-it, TEE-when-it-pays-off.” It’s all about making sure we’re using the right tool for the job! We're not just here to dive deep into the world of cryptography for fun; our main focus is on making sure we pass those audits, meet our service level agreements, and deliver a strong return on investment that you can trust.

1. Reference Architecture (This isn't just some theoretical concept; it's the real deal!)

• Inference Plane
• Tier A (Confidential GPU): In this tier, we're fine-tuning and running inference on A3 Confidential VMs, which are loaded with NVIDIA H100s and take advantage of Intel TDX or AMD SEV-SNP. It's pretty cutting-edge stuff! We’re all about generating remote attestation here, which means we’re looking at both the CPU and GPU together. For each batch of inferences, we make sure to export an attested measurement. You can think of it like dealing with PCRs and device certification chains--kind of the behind-the-scenes stuff that keeps everything secure! The awesome thing about this approach is that it really shrinks the trust boundary. This means that operators can’t get to the data or the model while it's being used. If you're curious to learn more about this, just take a peek here. It's definitely worth a look!
• Tier B (zkML): So, in this tier, whenever we’re looking for something beyond just straightforward confirmation--like if we need reliable third-party verification that lasts or handling settlements with multiple parties--we whip up these neat little things called succinct validity proofs. We’re utilizing a zkVM, like RISC Zero or SP1, along with model-to-ZK compilers like EZKL for our ONNX paths. Verification only takes place on-chain when it’s absolutely necessary for the business logic. If you want to dive deeper into the details, just check out this link. It's got everything you need!
• Checkable computing and data co-processors. You can grab historical on-chain data and get reliable computations using zk coprocessors like Axiom. This way, you can skip the headache of redoing Merkle-Patricia trie proofs yourself! You'll receive a callback in Solidity that's backed by solid proof. This is a really neat way to combine model outputs with what's been happening on-chain. (blog.axiom.xyz).
• Think of oracles and outside signals. If you ever find yourself in need of some outside data, think about using oracle computation patterns that can send cryptographic proofs. They can really come in handy! A great example of this is Chainlink VRF, which is used for generating random numbers (RNG). This way, the downstream contract can easily check that everything's on the up-and-up. Take a look at this: (chain.link). You'll find some pretty interesting stuff there!
• Settlement and DA
  We're planning to offload our commitments and proofs onto a Layer 2 solution that utilizes blobs, thanks to EIP-4844. This way, we can keep fees down and avoid getting caught up in the gas market craziness. If you’re chasing really high throughput or just need dependable bulk data access, you might want to check out EigenDA or Celestia. They both offer some neat tiered pricing options! We choose based on important performance metrics, like latency, data transfer speed (MB/s), budget constraints, and any vendor limitations. Take a look at it here: ethereum.org. You might find it pretty interesting!
• Governance and Lifecycle
  Don't forget to version every model, including all the pre and post-processing steps. It really helps keep everything organized! To do this, you can create a content-addressed artifact manifest. Just make sure to include the model hash, the tokenizer hash, and the quantization settings. It’s pretty straightforward! You’ll want to make sure this manifest is connected to the on-chain verifier contract. If there’s any update to the model, the contract will automatically deny any receipts that come from the old imageID (zkVM) or any wrong attestation measurement (TEE). RISC Zero’s ImageID pattern totally aligns with this approach. It just makes sense! If you want to dive deeper into the details, just click here!

2) Implementation path (12-16 weeks to production pilot)

• Week 0-2: Audit-by-design
  Let’s kick things off by lining up our controls with the SOC 2 and ISO 27001 standards. We’ll be zeroing in on some key areas like access management, keeping our keys safe, signing artifacts, storing attestations, and making sure we’re holding onto proof of receipts for the right amount of time. We'll also figure out the specifics around where our data needs to live and set clear limits for HIPAA and PII. What we really want to do is make sure these requirements are integrated into our Software Development Life Cycle (SDLC) right from the start. By using CI/CD policy gates, we can avoid the trap of just tossing them aside as paperwork down the line.
• Weeks 2-6: Getting a Taste of What’s to Come.
  • Choose the Verifier:
    If you’re looking for a way to ensure “external auditability forever,” you might want to check out zk proofs, such as RISC Zero zkVM or SP1, and make sure to include on-chain verification. Take a look at this: dev.risczero.com. It's worth checking out! If you're all about speed and keeping your data secure, go ahead and run in H100 Confidential mode. Don't forget to save those attestation quotes and measurements on the blockchain while you're at it! You can definitely combine this with some selective zk proofs for those key elements--basically, think about making sure the risk scores are fair. If you're looking for more info, check out developer.nvidia.com. They'll have everything you need!
• Launching an L2 Target with Blobs: Make sure to monitor the baseline DA cost per MB with the most recent metrics for your chain, such as the latest Base $/MB. And don’t forget to set up fallback DA options like Celestia or EigenDA whenever you find it necessary! If you're looking for more info, definitely swing by conduit.xyz. They have some great insights that you won't want to miss!
• Week 6-12: Productionization
• On-chain contract setup: We're going to get a Verifier contract up and running, which could either be in the form of a zk receipt or a TEE attestation validator. Plus, we'll be creating a registry to keep tabs on different model versions, alongside some business logic guardrails to keep everything in check. So, here's the deal: we’ll only release the funds if we can verify everything checks out and if we hit the policy requirements.
• Observability: We're going to keep an eye on proof verification metrics, checking them out both on-chain and in our SIEM. On top of that, we’re going to keep track of attestation reports and certificate chains. We'll also make sure to automate the re-verification of receipts whenever we upgrade our zkVM or tools.
• Security review and gas profiling: We've got to do a solid security check, so we’ll definitely be bringing in our security audit services to make sure everything’s done right.
• Weeks 12 to 16: We'll be diving into the Procurement and Compliance Pack.
• Over this period, we'll be introducing the SOC2 control mapping, data-flow diagrams, SBOM for prover/guest code, and incident playbooks. Hey, just a quick reminder to throw in a reserved-cost envelope. We really need to figure out the fee curves for blobs and the contingency pricing for DA. You know, like how Celestia sets up their tiers and EigenDA’s throughput commitments. Let’s make sure we cover all our bases! Feel free to grab more info here. It's all laid out for you!

3) Technical Specs You Can Actually Use (Putting Our Money Where Our Mouth Is)

• Proof/attestation primitives
• zkVM (RISC Zero): So, this cool tool takes your guest code, compiles it into ELF format, and then gives you a receipt. Pretty neat, right? Next, the verifier takes a look at the ImageID, which, in simple terms, is the cryptographic ID tied to your binary. It even has this cool feature called "continuations" that lets you break down those heavy computations into more manageable chunks. This is just what you need when you want to show how the specific model and preprocessing converted x into y. Check it out here.
• zkVM (SP1): So, this one’s all about Rust! It features programs built just for Rust and comes with an open-source verifier/prover. Plus, it’s already gone through some audits, so you know it’s got that credibility. Plus, it comes with precompiled functions that really speed things up for those common crypto tasks. That’s awesome if your team is really into Rust and enjoys working with modular setups! More details here.
• Model-to-ZK (EZKL): If your data science team is already working with ONNX graphs, then you’re in for a treat! This tool takes ONNX files, and transforms them into Halo2-based circuits and proofs. It’s a great way to level up your work! Pretty handy, huh? If you want to dive deeper into it, check it out here.
• TEE (H100 CC-On): So, with this setup, you've got a device identity certificate that's ECC‑384, along with NRAS verification and it’s all in attested mode. Pretty robust! Once your CUDA app gets the green light through attestation, it runs smoothly in CC-On! It's a great option when you're looking for quick inference without sacrificing confidentiality. Check out the full scoop here! You'll find all the juicy details waiting for you.
• DA and fees: Choose based on the KPI.
• Ethereum blobs (EIP-4844): So, these nifty things let us prune data after roughly 18 days, setting up a whole new fee market that’s totally separate from gas fees. This move really makes a dent in those Layer 2 costs. If you're curious and want to dive deeper into it, check out ethereum.org. They’ve got some great info over there!
• Real-world price snapshot: Recently, Base took a look at blob prices, and it turns out they’re hovering around $1. So, back in the day, we were seeing 19 MB, and around that same time, the OP Mainnet was chilling just under a dollar. 40/MB. Linea and Scroll definitely leaned towards the higher end of the price spectrum.
  We take the MB you use each day to calculate your total monthly cost of ownership (TCO). Hey, if you want to dive deeper into the details, you should definitely check out conduit.xyz. It’s got some really interesting stuff!
• Celestia: From what folks are saying in the community, it seems like we're sitting at around $0. 08/MB with minimum-fee settings. There are some really useful DA-fee sensitivity tables floating around that can be a lifesaver for anyone dealing with a lot of DA transactions. They help you keep your costs in check, which is super important when you're handling things in bulk. If you want to dive deeper into the topic, check out the Celestia forum. There’s plenty of info waiting for you!
• EigenDA: If you're looking for high throughput, this is definitely the one to check out! From what I’ve seen in the public docs, it looks like V2 is hitting speeds of about 50-100 MB/s. That’s pretty impressive! Some smart architectural changes, like splitting the control and data planes and using optimistic confirmations, seem to be making a big difference. Before we make any promises, let's take a moment to double-check the current SLAs. If you're looking to explore this topic further, check out megaeth-co.gitbook.io. It's a great resource that goes into more detail!
• Oracles
  Whenever you get the chance, make sure to use oracle computation that creates proofs, such as VRF. This helps keep that trust boundary nice and secure! Take a look at this: (chain.link). You might find it really interesting!
• Governance and Upgradability
• Model Registry (on-chain): Think of this as a handy reference that links a model_id to things like the content hash, the tokenizer hash, and those all-important quantization parameters.
• Contract Guardrails: Let’s ensure we've got either proof or some kind of attestation on hand. We also need to double-check that the registry lines up with the model_id, and that the policy result is hitting or surpassing the required threshold.
• CI Policy: Just a heads up--if there's a version mismatch with the zkVM or prover, we won't be able to go ahead with any deployments. We also double-check receipts on the cold path. The results from Arguzz really emphasize just how crucial hygiene is. (arxiv.org).

Two Practical Enterprise Examples with Precise Details

1. Starbucks: Transforming Customer Experience Through Technology

Starbucks has really made a name for itself in the coffee world, but what makes them truly stand out is how they use technology to boost the customer experience.

• Mobile App: They’ve got a super easy-to-use mobile app that lets you order and pay in advance, so you can skip the wait. How great is that? On top of that, they’ve got this awesome loyalty rewards program that really keeps customers coming back for more.
• Personalization: Thanks to AI, the app gives you drink recommendations tailored just for you, based on what you've ordered in the past. It’s like having a little barista buddy that makes each visit feel extra special!
• Location-Based Offers: These offers use geolocation to send you promotions when you're close to a store. Not only does this attract more visitors, but it also boosts interaction.

Starbucks has really nailed it by weaving technology into their services. This blend creates a smooth, user-friendly experience that not only clicks with customers but also keeps them coming back for more.

2. Amazon: Streamlining Logistics and Customer Satisfaction

Amazon is a great example of how powerful efficiency and a strong focus on customers can be.

• Fulfillment Centers: These huge fulfillment centers are packed with cutting-edge robotics that help get orders out the door super fast. This basically means you can expect your stuff to arrive a lot quicker, usually in just a day or two!
• Prime Membership: Ever since Amazon Prime came on the scene, it’s really changed the game. With perks like free shipping and special access to all kinds of content, it's tough to say no to that kind of deal!
• Customer Reviews: They really take advantage of what customers think by encouraging reviews and ratings on their products. This not only helps other shoppers figure out what to buy but also creates a sense of community around the products. Being open about things really helps to build trust, and you know what? It leads to more people feeling comfortable enough to make a purchase.

Amazon's dedication to making their operations smoother and really honing in on what customers want has been a game changer for their impressive growth and stronghold in the market.

A) Claims Adjudication (Health/Insurance) - “Attested AI + Selective ZK”

So, when we talk about claims adjudication in health insurance, we're diving into a pretty cool intersection of technology. We’re utilizing "Attested AI," which ensures that the artificial intelligence systems we rely on are verified and trustworthy. Along with that, we have "Selective ZK," which stands for selective zero-knowledge proofs. This is a fancy way of saying that we can validate claims without revealing all the sensitive information behind them. It’s a smart blend that keeps things efficient and secure!

• The Challenge: So, here’s the deal: we’ve got Protected Health Information (PHI) scattered throughout various documents. On top of that, regulators are putting the pressure on us to keep everything transparent and easy to track when it comes to payout triggers.
• What We’re Building:
  We're leveraging Inference in H100 Confidential VMs (A3 Confidential) to keep personal health information (PHI) and our model safe inside a Trusted Execution Environment (TEE). This lets us export a document that’s tied to a particular case ID. If you're curious to learn more about it, just click here for all the details! We're going to use EZKL to create a Zero-Knowledge (ZK) proof for a classifier that's a bit limited, such as figuring out if something is fraudulent or not, or checking CPT codes. With this approach, a downstream contract can check a basic condition without needing to access the PHI. If you’re looking for more info on this, you can check it out here. It's got all the details you need! With Axiom, we’re diving into the past behavior of on-chain providers. We'll take a look at previous disputes and payment habits, all while ensuring everything is verified using zero-knowledge proof technology. It’s all about making things more transparent and trustworthy! Let’s combine this with the classifier results and make sure to capture everything in a payout guard contract. If you're curious and want to know more, feel free to check it out here. There's a lot of interesting info waiting for you! We're planning to use L2 with blobs for our proof commitments and attestation references. This way, we can keep our costs under control. So, if we break it down, we’re talking about roughly 40 KB for each proof. If we're cranking out about 100,000 proofs every month, that adds up to around 4 GB total. And when you look at the cost, that comes to about a buck. Pretty straightforward, right? For a 19/MB (Base window), we’re estimating about $4,760 a month for data availability, which includes a ±30% cushion just in case. If you're curious about the costs, feel free to check it out here. There's some great info waiting for you!
• What We’re Shooting For: In the end, we want to show that “the quoted model made this decision in a secure environment” and that “the historical data was used correctly.” Plus, we’ll make sure everything is verifiable on the blockchain for compliance.

B) Supplier Risk Scoring (Manufacturing) -- “zk Fairness + Auditable Thresholds”

• The Challenge: The procurement team needs to show that their risk model is fair and that the thresholds are applied evenly all around the world.
• Build:
  Alright, let's kick things off by training a logistic regression model first, and then we’ll dive into a shallow neural network to tackle risk scoring. Sounds good? After that, we'll share a zero-knowledge proof (or ZK proof) to demonstrate that our fairness guidelines, such as those based on spectral-norm-bounded metrics, are all good for the parameters we locked in when we published the model. You can think of it as something like FairZK! Hey, just a quick reminder to make sure you save the proof and the model hash on-chain! You can check it out here: arxiv.org.
• When it comes to scoring in real-time, we can totally rely on Trusted Execution Environments (TEE) to make sure everything runs smoothly and quickly. Once that's done, we'll go ahead and export the attestation and the score. A little ZK proof will help make sure the score sits comfortably within the certified decision boundary. This way, we can rest easy knowing there’s no sneaky threshold drift going on. (developer.nvidia.com). If your team is all about Rust and you're diving into custom precompiles, definitely feel free to use SP1 for the boundary proof. It's a great fit! Hey, just a quick reminder: make sure to check on-chain only when you’re rolling out those capex tranches. (docs.succinct.xyz). If you notice a sudden surge in your case volumes, it might be a good idea to switch over to EigenDA for bulk posting. We're talking about some serious speeds here--like tens of MB/s! Just make sure you keep that L2 settlement path in place so everything flows smoothly. (megaeth-co.gitbook.io).
• Outcome: By taking this approach, Procurement will end up with some really solid SOC2-aligned governance documents, a super secure model registry that's cryptographically sealed, and clear evidence that the scoring function is being applied consistently.

5) GTM metrics we sign up to move

• Auditability
• Every inference event needs to result in one of these outcomes: So, you’ll need a TEE attestation, which is basically the CPU/GPU chain of trust, along with some device certificates and the NRAS verification logs.
• A zk receipt tied to the model_id that shows the verifier contract has been accepted. Check it out here.
• Time-to-value
  Hey there! Just a heads up, we’re expecting it’ll take about 12 to 16 weeks to get our production pilot up and running. This includes setting up on-chain verifiers and mapping out our SOC2 controls. Exciting times ahead! On top of that, we're going to hook you up with all the procurement-ready documents you might need, including the SBOM, data flow info, and the DPA.
• Cost control
  So, when it comes to our DA cost envelopes, we're looking at the current fees for per-MB blobs, which are around $1 to $2 per MB on Base and OP windows. In comparison, Celestia is suggesting something more like $0. 08/MB, just remember that this could change based on governance rules. We're going to keep an eye on the MB per day, and then we'll figure out the DA from that. Check more details here.
• Throughput and latency
  So, for the zk path, we're planning to group proofs together and then verify them on-chain in an asynchronous way. In our hot paths, we're using TEE attestation and just focusing on proving the “boundary checks” with ZK. So, about hyperscale DA, we're looking to switch over to EigenDA. It’s pretty impressive right now, handling speeds between 50 and 100 MB/s! We'll definitely check the SLAs before we sign any contracts. If you want to dive deeper into this topic, you can check out more details here.
• Reliability
  So, there’s this external proving service called Bonsai, and they’re making some pretty bold claims about getting a 99% success rate. We're hitting a 9% uptime right now, and we're getting ready to switch things over to local or GPU proving, or even other networks if we need to. Find out more here.

6) Risk Register (What We Tackle Before You Even Ask)

• zkVM Drift and Bugs: Don't worry, we've got you covered! We're proactive about this stuff. We make it a point to pin our toolchains and put in place stage gates that prompt us to double-check historical receipts every time we roll out an upgrade. On top of that, we conduct differential tests to tackle those Arguzz-style risks. Take a look at this: (arxiv.org).
• Attestation Brittleness: So, we've been seeing that some vendor release notes bring up issues with attestation regressions when it comes to OS images. To steer clear of any unpleasant surprises, we make sure to freeze those golden images and stay on top of the latest cloud updates. Nobody likes surprise outages, right? If you want to dive deeper into the details, check it out here: (docs.cloud.google.com).
• DA Price Movements: We're really keeping an eye on the blob market and staying updated with the Celestia governance discussions. Our game plan involves using automatic switching policies. This way, we can ensure that larger batches are always sent to the most cost-effective verifiable data access that meets our service level agreements. If you want to explore this topic further, check it out here: (forum.celestia.org). You'll find some interesting insights!

7) How 7Block Engages (and Where We Plug In)

• We start things off by laying down a solid foundation with our strategy and architecture. We really hone in on ROI and TCO modeling, making sure it lines up nicely with the procurement checklists. Alright, now it's time to roll up our sleeves and dive into building the verifiers and pipelines! We'll be working closely with our amazing smart contract development team and our full-stack web3 development services crew. It's going to be a fun collaboration! So, we got to work setting up the DA/bridge plumbing using our cross-chain solutions and blockchain integration services. To make sure everything stays safe and sound, we go the extra mile with some security hardening. That includes formal reviews and audits, all thanks to our security audit services. Hey there! If your project is all about tokenized incentives or supply-chain assets, you've come to the right place! We're here to help with our experience in asset tokenization and developing asset management platforms. No stress, we've got this!
• For all the teams in your organization that are connected to DeFi--like treasury or FX hedging--we're here to team up with you using our DeFi development services to fully leverage those verifiable elements. Let’s make it happen together!

Emerging Best Practices We Recommend Adopting Now

• "Proof budget" for each feature: Not every output has to be verified on-chain. It's a good idea to reserve those full zk proofs for the big decisions, especially when they involve any irreversible money movement. For everything else, just stick with TEE attestation and logs.
• Model artifact SLOs: If you're planning to tweak the model, don’t forget to update the on-chain registry! It’s also a good idea to send over a quick “delta proof.” This will help keep procurement and auditors in the loop and avoid any hiccups down the line.
• Fairness at publish-time: You don't really have to demonstrate the entire inference in zero-knowledge (ZK) to ensure fairness. All you need to do is verify the model’s fairness when you first publish it. After that, you can just use zero-knowledge proofs to make sure that the live scores remain within those certified limits. It’s pretty straightforward! (arxiv.org).
• DA-aware batching: This is all about collecting proofs to help us hit those ideal blob sizes more efficiently. Try to keep a rolling window within that roughly 18-day blob retention period. It’ll help you cut down on those cold-storage commitments! (ethereum.org).
• Oracle minimalism: Stick with the basics that give you solid proofs (like VRF) and be sure to examine any unclear HTTP fetches closely, since they could potentially expand your trust boundaries. (chain.link).

Why This Matters to the Business (Not Just the Engineers)

• Speeding Up Procurement: We’ve put together our system with one goal in mind: helping you tackle the tricky question, “Where’s the SOC2 evidence that proves this model generated that output without any input from an operator?” We’ve got your back with reliable artifacts, not just empty promises.
• Lower TCO: With the new blob economics from post-EIP-4844 and modular data availability, we can really enhance verifiability without seeing those pesky gas costs shoot up. Feel free to dive deeper into it on ethereum.org!
• Clear Contracts: You can totally add something like “verifiable inference under model vX” in there. In your Service Level Agreement (SLA), make sure to include "Y" and then implement it using Solidity. This way, you can ensure that everything runs smoothly and as expected! How cool is that?.
• Competitive Moat: When we say, “We don’t just run AI; we prove it,” it really sets us apart in those regulated RFPs. It’s a game-changer that’s tough for others to compete with.

Where to Start with 7Block (Choose Your Entry Point)

• Need a full build? Our awesome custom blockchain development services team is here to help! We'll whip up that vertical slice you need, featuring TEE/zk, L2 contracts, DA, and CI. We've got your back! Hey, do you have any models ready to go? If so, let's grab those and bundle them up with EZKL or zkVM! We’re here to help you figure out when to go with attestation instead of proofs! Just check out our dApp development services for more info. Feeling a bit anxious about integration risks? A great way to get started is by doing a security and design review. It’ll help you spot any potential issues early on! We're all about that "prove-only-what-moves-money" mindset with our security audit services. It’s all about keeping things straightforward and making sure we focus on what really matters when it comes to your finances.

Closing Thought

You really don’t need to go overboard and feel like you have to "blockchain everything." What you really need are some solid assurances when it comes to those key AI decisions that affect how money moves around, stay compliant, and keep customer trust intact. Make sure to use just the right amount of cryptography when putting these into action. It’s all about finding that sweet spot where everything remains practical and efficient.

Book a 90-Day Pilot Strategy Call

Are you all set to jump in? Let’s go ahead and book your 90-day pilot strategy call! This is a great opportunity for us to brainstorm, map out some plans, and get some one-on-one advice just for you. Can't wait to get started!

What to Expect

During our call, we'll: Let's chat about what you're hoping to achieve and what your vision looks like for the next three months. What are some specific goals you want to tackle? How do you see things shaping up in that timeframe? I'm really interested to hear your thoughts!

• Think about the main challenges you could encounter.
• Identify some strategies and actions that can really help you hit your goals.

How to Book

Just take a look at these easy steps:

1. Just hit the link below! 2. Pick a date and time that suits you! 3. Just fill in the required details, and we’ll be all set to dive right in!

Schedule Your Call Here

Can't wait to catch up soon! Let’s crush those goals together!

References for Key Claims

So, with the EIP-4844 blobs, you can hang onto them for about 18 days. Plus, there’s a separate fee market for these blobs, which really helps keep Layer 2 costs in check. Pretty neat, right? Check it out here.

If you want to get a sense of blob pricing, check out the example snapshots showing the cost per MB. They’re super helpful for understanding the total cost of ownership when it comes to data availability. If you're looking for more info, just check this out here. It's got everything you need!

Celestia's talk about their DA pricing really sheds some light on what you can expect in terms of minimum fees--specifically, it gives you a rough idea of the cost per megabyte. Check out all the details here. You'll find everything you need to know!

If you're interested in H100 Confidential Computing, NRAS, and device identity certificates, definitely check out this NVIDIA developer blog. It’s got some great info that can really help you understand these topics better!

RISC Zero's zkVM ImageID receipts are a neat way to keep track of ongoing large computing tasks. More on that here.

The SP1 zkVM is an open-source project that’s built using RISC-V and Rust, and it’s already gone through an audit to ensure everything checks out. Get the scoop here.

Axiom has this cool zk coprocessor that's all about handling Ethereum's historical data and making sure those compute callbacks are verified. Hey, if you’re interested, take a look at the blog by clicking here. It’s pretty cool!

Chainlink provides oracle computation along with a cool feature called verifiable randomness through their VRF. Learn more here.

So, there’s some interesting research happening about zkVM bugs right now. It really highlights how crucial it is to pin versions and make sure everything’s re-verified during continuous integration (CI). Read about it here.

EigenDA V2 is making some pretty bold statements about its architecture and performance. They’re talking about things like separating the control and data planes, and boasting some seriously high MB/s rates! You can check out the details on validating SLAs when you’re looking over the contract by clicking here. It’s a handy way to make sure everything’s in order!

Hey, if you need a bit more context as we’re figuring things out, just let us know! We can share detailed fee traces and DA throughput logs that are customized to fit your specific chain mix and compliance requirements. ).