7Block Labs on the Convergence of AI and Blockchain

“Black‑box AI” is failing enterprise gates

You’ve finally got your model up and running, which is awesome! But now you’re hitting a snag with Legal and Procurement. They won’t give you the go-ahead because there’s no cryptographic proof that shows the output is coming from the right weights, dataset, and computing environment. It’s a bit of a bummer, right? Hey there! So, your CISO is a bit concerned about some issues with “model drift and shadow data.” They’ve noticed a few gaps in the audit that need some attention. The Internal Audit team is really emphasizing the need for unchangeable records of the predictions we use in those crucial workflows. The CFO is really struggling to get a handle on the current L2 and infrastructure costs. Ever since EIP-4844 rolled out, blob fees on Ethereum have been all over the place, making it tough to plan. Just one unexpected spike can totally throw your monthly budget off balance and push back your launch dates. (blocknative.com). The EU AI Act is set to kick in between 2025 and 2027, and it’s not just a walk in the park--there are some serious penalties involved! Companies could face fines of up to 7% of their global revenue if they don’t follow the rules. Yikes! Given the push for GPAI transparency, the high-risk controls, and the use of sandboxes, it’s clear that Procurement is on the hunt for a solid plan these days. (eur-lex.europa.eu).

The Real Risks (Not Just Theory)

• Missed Deadlines: If your AI projects lack clear origins and proper controls that align with the NIST AI Risk Management Framework and ISO/IEC 42001, you might find your RFPs getting tossed between Security, Legal, and business teams. It’s kind of like a game of hot potato--but not the fun kind! Looks like you may end up delaying those launches to “next quarter” once more. (nist.gov).
• Compliance Exposure: So, the enforcement of the EU AI Act is set to begin on February 2, 2025. That’s when the prohibitions will kick in. Then, on August 2, 2025, the GPAI obligations will take effect, and a year later, on August 2, 2026, the rules for high-risk systems will come into play. Mark your calendars! If you're not keeping up with your documentation, monitoring, or compliance checks, you might run into some regulatory headaches down the line. (ai-act-service-desk.ec.europa.eu).
• Unpredictable Costs: So, blob gas usually comes in cheaper than calldata, but here's the catch! When things heat up--like during those busy blob inscriptions--blob base fees can skyrocket for a little while. This can really mess with your fee estimates and service level objectives, so keep an eye on it! (blocknative.com).
• Beware of "Trust Me" AI Vendor Lock-In: As TEEs and ZK stacks are rapidly changing, picking the wrong approach or getting too cozy with one specific vendor could really tie your hands. You might end up with lackluster performance, results you can't verify, and outrageous costs for each prediction. It's definitely something to think about!
• Reputational Risk: If an audit turns up some red flags or if there's a sketchy AI decision in a regulated process, it’s not just a tech problem. It could actually end up grabbing attention in the boardroom.

7Block’s “Proof‑First AI Architecture” for Enterprises

Here at 7Block, we’ve crafted an awesome plan that combines zero-knowledge proofs, tracked provenance, and confidential computing. We keep things simple, making it easy for Procurement to give the thumbs up and for Operations to jump right in and get things done.

1) Instrument Provenance at the Data and Model Layer

• Unchanging commits for datasets and weights: Whenever we finalize a training dataset, feature set, or model artifact, we give it a unique hash and commit it on the blockchain. It’s our way of making sure everything stays locked in and transparent. We're leveraging EIP‑4844's KZG commitments to securely store those hefty artifacts without having to keep all the raw data on hand. This helps us create a reliable and traceable lineage without breaking the bank. The EVM keeps track of versioned hashes and uses the EIP-4844 precompile to check point evaluations. Take a look at this link for more info: (eip.directory). You’ll find all the details you need there!
• Practical build: We’ve added the official c‑kzg‑4844 library into your CI, making it super easy to compute commitments and proofs consistently. And just so you’re aware, we’ve also laid out the trade-offs between speed and memory for precomputation, so you know what to expect. Check out the code right here: (github.com). You'll find some interesting stuff!
• Governance fit: So, check this out--hash-anchored SBOMs and model cards really mesh well with SOC 2 evidence, especially when you’re looking at things like change control and integrity. Plus, they align nicely with ISO/IEC 42001, which relates to AIMS lifecycle documentation. It all just makes sense!

2) Verifiable Inference You Can Use for Audit (Two Tracks, Selected per Use Case)

• zkML for Streamlined Proofs of Accurate Inference:

Have you heard about zkML? It's pretty cool! This approach is all about making proofs of correct inference more compact. Basically, it allows us to verify results without needing a ton of extra data. It's a game-changer for keeping things efficient while still ensuring accuracy. Hey there! So, if you're dealing with smaller models or just want to keep an eye on your compute policies, we can actually take those ONNX graphs and convert them into ZK circuits. Plus, we can validate those proofs on-chain. Pretty cool, right? If you're looking for something to help with ONNX graphs, you should definitely check out ezkl. It runs on the Halo2 backend, so it’s worth a look! It comes with GPU acceleration and also has on-chain EVM verifiers. You can check it out right here.

• When it comes to general logic, zkVMs like Succinct SP1 have really made some impressive strides. They really amp up the speed, giving you a boost of 4 to 28 times faster than those older zkVMs. Plus, they throw in GPU acceleration and some precompiled options for crypto tasks, which is pretty cool! This really helps reduce the time it takes to get proof and also saves on costs. If you’re curious for more info, check out their blog post. It’s got all the details you’re looking for!
• Soundness is super important! We make sure to include zkVM fuzzing and soundness testing, like what Arguzz found with actual zkVMs, in our security testing processes. If you want to dive deeper into it, you can check it out here!
• Confidential Compute Attestation (For Those Big Models or When Every Millisecond Counts): We’ve got the whole Intel SGX/DCAP quotes (you know, the ECDSA stuff) and Intel Trust Authority for SGX/TDX covered without a hitch. When it comes to GPU setups, the NVIDIA H100 really shines. It supports device attestation (NRAS), and it even takes things a step further by allowing composite attestations that involve both the GPU and CPU through Intel Trust Authority. Pretty cool, right? We’re all about keeping things transparent, so we make sure to document the attestation results as signed statements that not only have a clear time limit but also reference the same model and KZG commitments. If you're looking for more details, check out Intel's website here: Intel's site. They’ve got a lot of useful info over there!
• Identifying and Managing Compliance Without Using Personal Info: So, when you’re considering things like age, location, or KYC requirements, we use verifiable credentials with ZK proofs--think along the lines of Privado ID and Polygon ID. It’s a neat way to keep things secure and private! With this approach, your dApp or back-office can easily verify if someone is "over 18" or an "EU resident" without having to keep any sensitive info on file. How cool is that? If you're looking to explore further, check out the Privado documentation. It's a great resource for getting more details!

3) Predictable On-Chain Verification Costs (And Why It Matters to CFOs)

So, if we’re talking about verification costs, Groth16 on BN254 (after EIP-1108) is still the top choice. You’re looking at about 45,000 gas for the pairing precompile, plus around 34,000 times k gas, where k is the number of pairings. So, here's the deal: most verifiers usually go with 4 pairings, which adds up to about 181k gas. On top of that, you can expect to tack on an extra roughly 6,150 gas for each public input because of the whole MSM thing using ECADD/ECMUL. Alright, so when you’re working with 8 inputs, you can generally expect your verification to fall somewhere between 260k and 270k gas. That’s pretty wallet-friendly and makes it a breeze to audit, too! (eips.ethereum.org).

So, after the Pectra update, we've got BLS12-381 (EIP-2537) on our hands. It definitely steps up our security game and cuts down on costs for pairings, which is awesome! Just a heads up though, it does come with the trade-off of having to handle larger calldata. Before we settle on anything, we really dive into both options for each workflow. We carefully consider the trade-off between security and the costs associated with calldata. (blog.ethereum.org).

Hey there! So, when it comes to blob fee guardrails, we’ve got some pretty neat measures in place. We’ve established budget caps and circuit breakers that kick in whenever the blob base fees start to go haywire (and trust me, we’ve seen them spike up to a whopping 13!). These safety nets help us either push things to calldata or queue up proofs, so we can keep everything running smoothly. You know, during those hectic registration events, it can really feel like everything's happening at once, right? Well, we actually run things about three times more often then to keep up with the chaos! This method really helps us keep our service level agreements and costs in check. (blocknative.com).

4) Rollup Economics Tailored for Enterprise SLAs

So, thanks to EIP-4844, we've really slashed the costs for L2 data availability when it comes to rollups. Just a heads up, though -- the fees can vary quite a bit based on which L2 you're using and even what time of day it is. That's why we go with “blob-aware” posting strategies and pick L2s that work best for you, taking into account where you’re located, your data residency needs, and how much transaction volume you’re dealing with. We’re constantly keeping an eye on blob markets and checking out L2 fee data, all to make sure that median verification costs don’t go too high. It’s important to us to keep everything running smoothly! If you're interested in diving deeper, you can find more info here. Happy reading!

Also, we’re bringing in account abstraction (EIP‑7702) to make things smoother for users and improve overall operations. Basically, this means you’ll be dealing with stuff like sponsoring transactions, grouping operations together, and setting up the right permissions. Your app handles gas fees pretty smoothly with paymasters, and it does a great job of keeping everything organized with clear audit trails. If you want to get into the nitty-gritty details, feel free to check this out here.

5) Compliance Mapping That Satisfies Procurement

So, we’re all set with the NIST AI RMF and the Generative AI Profile that's dropping on July 26, 2024, along with ISO/IEC 42001 AIMS. It’s a solid lineup! Our evidence package includes all the key stuff you need, like keeping track of model lineage, managing change control, keeping those risk registers in check, and staying on top of monitoring. Feel free to take a look at it here: (nist.gov).

When it comes to the EU AI Act, we're getting ready and sticking to the schedule. We're keeping track of some important dates: there are prohibitions coming up on February 2, 2025, the GPAI on August 2, 2025, and then the high-risk stuff kicks in on August 2, 2026. Finally, we need to have our embedded products sorted out by August 2, 2027. It's a lot to keep in mind, but we're on it! Also, we're keeping an eye on the changes with the Digital Omnibus as they come out. More details here: (ai-act-service-desk.ec.europa.eu).

How We Deliver (And What You Get in 90 Days)

• Weeks 0-2: Getting to Know Each Other & Setting the Rules. Let's start by diving into some of the most impactful AI use cases and categorizing them by their associated risk levels. We're also going to put together a KPI tree that looks at a few key areas, like the P50 proof latency, the costs associated with on-chain verification, and the pass rate for attestations. Plus, we want to ensure that our service-level agreement (SLA) hits at least that 99% mark. 9%. We’ll help you set up a solid architecture that’s ready for production and includes SOC 2 control mapping. Plus, we’ll make sure we’re paying attention to any data residency requirements along the way.
• Weeks 2-4: Understanding Origins and Identity.
• In this stage, we'll be getting a KZG pipeline up and running in continuous integration for your datasets and models. It’s a pretty exciting step! On top of that, we'll be adding VC/ZK identity gating to a staging environment. And just a heads up--no personal info will be stored, so you can rest easy about that! Take a look at this: github.com.
• Weeks 3-6: Figuring Things Out. We're going to kick things off with a pilot project using zkML (ezkl) for one of our models. At the same time, we're also going to dive into the zkVM route (SP1) to check out some general logic. Hey! Have you checked out the TEE attestation prototype for those bigger models? It’s pretty interesting! You can take a look at it right here: github.com.
• Weeks 6-10: On-Chain Verification and Fee Guidelines. We're going to create a custom Solidity verifier just for your specific Layer 2 solution. Plus, we'll set up a Groth16 cost model and throw in a blob fee circuit breaker to keep things running smoothly. We’re going to create a paymaster for account abstraction to help cover those sponsored gas fees. If you want to dive deeper into the topic, take a look at this link: eips.ethereum.org. It's got all the details you need!
• Weeks 10-12: Gathering the Audit Pack and getting the GTM Runbook ready. To wrap things up, we'll put together an alignment report that covers NIST, ISO, and the AI Act. We'll also run a red team test to check your defenses and create a handy runbook to help with your FinOps and security requirements.

Verifiable Credit Decision Note (Regulated Lending)

What's the Issue?

When it comes to underwriting, they really lean on a model to help them make decisions. But auditors really need to have some solid proof for a few important things: first off, the weights that have been approved, then the input features, and finally, they need to check the integrity of the inference.

How to Make It Happen:

Okay, so first things first: when you release the model weights and feature set, make sure to lock them in with KZG commitments right off the bat. It’s a smart move! Hey, just a quick reminder to make sure you add those commit IDs into the decision record! If you want to dive deeper into it, you can find more info here. Alright, so the next step is to run the inference using ezkl. This will help us whip up a nice, compact Groth16 proof. Just a heads up, double-check it on-chain! It typically runs between 220k to 270k gas for standard public inputs. If you're looking for more info, just check out this GitHub page. It’s all there!

• In the end, make sure to manage access using ZK credentials, like if someone is an “EU resident” or “over 18.” Just remember to keep any personally identifiable information (PII) discreet and private. If you're looking for more details, just click here. Happy exploring!

The Bottom Line:

With this setup, you've got a solid, unchangeable record that’s ready to go if you ever need to explain your credit decisions. This is a great way to tackle any problems that come up during audits and can really speed things up when it comes to getting that Procurement sign-off.

EU AI Act‑Ready Model Operations

• Problem: We've got a bit of a challenge on our hands! The new GPAI transparency and high-risk obligations mean we'll need to take care of some fresh documentation and monitoring requirements. Let's figure out how we can manage that!
• Implementation:
• Great news! We’ve got all the model cards and lineage finalized and approved.
  Also, we're sharing provenance and tracking events as blobs now. They’re more budget-friendly and a better fit for temporary data, rather than using calldata. Take a look at this link: (eip.directory). So, we’re diving into this regulatory sandbox that’s all about proof artifacts. We’ve also set up some conformance checkpoints to keep everything in sync with the EU timeline. If you’re looking for more info, check this out: ai-act-service-desk.ec.europa.eu. There's a bunch of useful details waiting for you there!
• Business Impact: We’re noticing some positive feedback from Legal, which is great! This means we can expect quicker RFP cycles and avoid those frustrating last-minute “compliance blockers.” ”.

Cost-Predictable Inference at Scale

• Problem: Those blob fee spikes can really mess with your budget! It’s frustrating when unexpected costs pop up like that.
• Implementation:
• Go ahead and set up a blob fee circuit breaker using a rolling window approach. If the blob discount goes away, we’ll just switch to using calldata instead. For any proofs that aren’t urgent, we’ll put them in a queue to handle later. Hey there! Just a heads up, blob base fees have really risen lately, hitting about ~650 Gwei during those inscription events. But no need to stress--these guardrails are in place to make sure our SLAs stay on track. ) (blocknative.com). When picking your Layer 2 solution, make sure to consider the fee profiles after Dencun and take into account your location. (thehemera.com).
• Business Impact: Get ready for Predictable OPEX and reliable SLOs for your inference needs!

Technical Blueprint (Condensed)

Overview

This blueprint gives you a quick overview of how we approach our design and implementation. It really points out the main parts and gives you a solid base for getting our approach.

Key Components

1. Architecture We're choosing a microservices architecture to boost our scalability and flexibility. It's a smart move that will really help us adapt and grow!

• All the services will chat with each other using REST APIs.

1. Database We’re going to go with PostgreSQL for handling our relational data. It’s great for keeping everything organized and making sure the data is both reliable and performs well. When it comes to unstructured data, we usually turn to MongoDB. It's our top pick for handling that kind of stuff!
2. Frontend We're using React to power our user interface because it's super responsive and built around components, which makes everything come together smoothly. We’re going to use responsive design so that everyone has a fantastic experience, no matter what device they’re using.
3. Backend Node.js is going to take care of our server-side logic, giving us a solid and efficient environment to work in. Express.js is great for handling our API endpoints seamlessly.
4. Security

• We're going to use OAuth2 for authentication. This way, we can ensure that our users' data stays secure and private. We’ll be including regular security audits in our maintenance routine.

Development Workflow

• Version Control: Git is going to be our best friend when it comes to tracking changes and working together smoothly.
• Continuous Integration/Continuous Deployment (CI/CD): With Jenkins in the mix, we'll be able to automate our testing and deployment processes. This means we can roll out updates without a hitch!

Timeline

Resources

If you’re looking for more detailed information, feel free to dive into our full documentation! It’s all there for you.

• Keep in the loop by checking out our project repository.

Conclusion

This handy little guide gives us a straightforward path for our project. Let's stay in touch and team up to turn this vision into reality!

A. Provenance in CI/CD

Hey there! Could you go ahead and calculate the KZG commitments for your datasets and weights (that’s the c-kzg-4844 stuff)? Once you've got those numbers, please share them with me. Thanks! Hey there! Just a quick tip: it's a good idea to keep those versioned hashes on the blockchain. And when it comes to storing your artifacts off-chain, make sure you stash them in your local region to comply with data residency rules. It’ll save you some headaches down the line! (github.com).

B. zkML Path (Small/Medium Models, Sensitive Logic)

Alright, let’s kick things off! First things first, you’ll need to grab your ONNX model and whip up some sample inputs. Alright, now it's time to get things rolling with ezkl and set up the EVM verifier. Let’s dive in!

• Check out these example commands you can play around with! Just make sure to adjust the logrows to match your graph. To set up the model, you can run the command: ezkl gen-settings -M model.onnx --logrows 18. This will help you configure things just right! Sure! Here’s a more casual version:

So, if you want to compile your circuit, you can run this command: ezkl compile-circuit -M model.onnx -S settings.json -O model.ezkl. Just plug in your model file, your settings, and where you want to save the compiled model. Easy peasy! To generate the witness, just run this command: ezkl gen-witness -M model.ezkl -D input.json. Just run the command: ezkl setup -M model.ezkl -S settings.json. To generate a proof, just run this command: ezkl prove -M model.ezkl --witness witness.json --proof model.proof. It's pretty straightforward! To check your model, just run this command: ezkl verify -M model.ezkl --proof model.proof. To deploy the verifier, just run this command: ezkl deploy-verifier --rpc --pk . For more details, you can check it out on GitHub.

When it comes to cost modeling, you should plan on the gas being around 181k for the basic stuff (that includes the pairings) plus an extra 6. It's 1k for each input, plus the calldata. Don't forget to tweak those public inputs! You can check out more details here.

C. zkVM Path: General Programs and Multi-Step Workflows.

SP1 Turbo is all about delivering GPU-accelerated proving, and it comes with an exciting mission: to make “proof-in-minutes” a reality, all while keeping the proof costs below a dollar, even for real-world tasks. Feel free to create and test things out with your own binaries and precompiled versions! Take a look at this: blog.succinct.xyz. You might find it interesting!

D. TEE Attestation (Large Model, Strict Latency)

• So, we're exploring either SGX/DCAP or TDX when it comes to the CPU side of things. If you're working with the H100 GPU, make sure to use NRAS/Intel Trust Authority. It’s definitely the way to go! So, the whole process is about generating JWTs that include measurements from either the enclave or the GPU. Then, we tie those tokens to the KZG commits for the model. If you want to explore the details a bit more, just check it out here.

E. Identity & Gating

• Combine VC/ZK workflows using Privado ID and Polygon ID. Smart contracts can verify things like your age, country, and KYC status without needing any personal info. Isn’t that cool? This way, you can keep your privacy while still getting the verification you need. Take a look at this: (docs.privado.id).

F. Account Abstraction & UX. Make the most of EIP-7702 to handle gas fees and bundle up those operations. And don’t hesitate to throw in some 4337 tools whenever it fits! (eips.ethereum.org).

Emerging best practices (2025-2026) you should adopt now

• If you’re in the process of setting up new verifiers and security is a top priority for you, definitely consider going with BLS12‑381 (EIP‑2537). It’s a solid choice! Make sure to keep an eye on how calldata is growing, and definitely take advantage of the MSM precompiles if you have the chance! (blog.ethereum.org).

Imagine blob gas as a constantly changing market. Rather than jumping to conclusions, it's better to establish some guidelines to keep things on track. When you're working on data availability, it's a good idea to go for blobs. They really help out, but make sure you also have a calldata fallback just in case. It’s always nice to have that extra layer of reliability! (blocknative.com).

• Shake things up with a bit of diversity! When you're checking the soundness of zkVM, it's a good idea to throw in some fuzz and metamorphic tools. This way, you won’t find yourself leaning too much on just one vendor. (arxiv.org).

Hey there! Just a quick reminder to keep your governance game strong. You’ll want to set up an AIMS (ISO/IEC 42001) and make sure your documents are linked to the NIST AI RMF and the EU timeline. It’ll help everything stay in sync! Make sure to keep an easy-to-access internal "evidence catalog" that connects to all your on-chain commitments. It'll make keeping track a lot simpler! (iso.org).

Hey there! Have you ever thought about embracing identity minimalism? It’s a pretty smart move. By using VC/ZK gating, you can really minimize the amount of personally identifiable information (PII) you’re dealing with. This not only helps reduce your risk if there's ever a data breach but also makes handling data processing agreements (DPAs) way easier. It’s a win-win! (docs.privado.id).

How We Measure ROI (What We Show Your CFO and CISO)

• Trust-per-dollar: This keeps an eye on how much of the AI decisions we can back up with strong evidence and a clear history. It’s all about transparency!.
• FinOps Stability: In this section, we take a closer look at the median gas fees for verification, as well as the 95th percentile of blob fees associated with each proof. We also take a look at how many requests get auto-deferred. This helps us keep the budget in line during those hectic spikes. If you’re interested in diving deeper into this topic, you can find more information here. It's worth a read!
• Compliance Check: We take a look at how well we stack up against the NIST AI RMF and ISO/IEC 42001 standards to see if we have all the evidence we need. On top of that, we're in sync with the EU AI Act guidelines that are set to kick in between 2025 and 2027. If you want to explore this a bit more, check it out here. It’s a great resource!
• SLA: We're shooting for a minimum inference availability of 99%. 9%. Whenever it's relevant, we also throw in some attestation for composite CPU/GPU setups. If you're looking for more details, you can check it out here.
• Cycle time: We're all about speeding things up when it comes to request for proposals (RFPs) and legal reviews. By leveraging cryptographic artifacts and mapped controls, we aim to trim down those rounds and make the whole process a lot smoother.

Where 7Block Fits Into Your Stack (and Links to Deliverables)

Architecture and Build:

We’ve got you covered with our tailored blockchain development services. We focus on the key elements like tracking the origin of assets, ensuring reliable verification, managing payments, and setting up those important blob guardrails. We provide a full range of web3 development services designed to boost the user experience of dApps through account abstraction.

• Our security audit services are designed to align with industry standards, and we really dive deep into things like smart contracts, ZK circuits, and TEE attestation flows to ensure everything stays secure. Looking to add blockchain to your data platforms? We've got you covered! Our top-notch blockchain integration can seamlessly blend with your feature stores, MLOps, and SIEM systems, making it a perfect fit for your needs.

Solution Accelerators:

We’re all about creating production-ready verifiers, and we do it through our expertise in smart contract development. If you want to see what we can do, check out our offerings! Hey there! Keep tabs on your data and model history across different chains with our handy cross-chain solutions. It's a game changer! If you're looking to boost your finance operations, our DeFi development services have got your back. We can help make everything run smoother, especially when it comes to managing your treasury and handling on-chain settlements.

• Hey there! If you’re diving into the world of digital assets that involve AI intellectual property or licensing, we’re here to help. Check out our asset tokenization and asset management platforms - we've got everything you need to get started!

Appendix -- Implementation notes we care about (so you don’t have to)

• Gas Math for Planning: So, with EIP-1108 coming into play, the formula for figuring out the cost of BN254’s pairing check has changed. It’s now 45,000 plus 34,000 times k. Just keep that in mind when you're planning! So, if we go with k set to 4, we're talking about about 181k in gas fees, on top of the costs for MSM for each public input. We like to keep our proofs nice and concise while also keeping an eye on the number of public inputs. This way, we can manage our gas usage better. (eips.ethereum.org).
• Pectra implications: So, EIP‑7702 is really focused on making things better for users and giving better control over fleets. Then you've got EIP‑7691 and EIP‑7623, which are making some adjustments to how blob and call-data work. And let's not forget EIP‑2537, which introduces a new curve option for us. Before we jump in, let’s take a moment to really consider your specific workload and L2. We want to get a good understanding of those first! (blog.ethereum.org).
• Blobspace reality: Blobs can be pretty affordable, but that’s not a hard and fast rule. There’s definitely a bit of fluctuation in their pricing. We’ve set up a handy system that combines a circuit breaker, a queue, and a fallback plan. This way, we can dodge any surprise fees that might cause downtime.
  (blocknative.com).
• Identity: We suggest going for verifiable credentials that come with zero-knowledge proofs, such as Privado or Polygon ID. They're solid options! This way, you can follow the access rules without worrying about storing any private info that you’d rather keep to yourself. (docs.privado.id).

The Bottom Line

The mix of AI and blockchain isn’t just a buzzword; it’s really about replacing the old “trust me” with real, hard evidence that stands up to scrutiny and helps keep those pesky cost fluctuations in check. The plan we talked about is designed to help you hit those goals in just three months. It gives you a clear view of where everything comes from, helps you keep an eye on costs, and makes sure you have everything ready for compliance checks.

Hey there! If you're feeling a bit stuck in Procurement at the moment, the best way to get things moving is to provide them with exactly what they need. You’ll want to focus on showing them solid proof of where everything comes from, along with verifiable evidence that ties back to your claims. Oh, and don’t forget to have a working model that complies with the EU AI Act. That’ll definitely help push things along! We’ve got your back with a build that you can totally put to use!

Book a 90-Day Pilot Strategy Call

Excited to kick off your journey? Let's jump into a 90-Day Pilot Strategy Call! This is a great opportunity to lay out a solid plan and figure out how we can make it all come together. I’m all in for this!

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Let's take a closer look at what you're aiming for and the hurdles you’re facing.

• Customized plans designed to help you make progress.
• Here’s a quick rundown of what you should do right after the call.

How It Works:

1. Choose a Date: Just take a look at the calendar below and pick a time that suits you best. 2. Share Your Info: Just drop a few details here so we can get ready for our conversation. 3. Jump on the Call: You’ll get a link to the video chat--it's a breeze!

Ready to dive in? Let’s turn those ideas into something real!

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