Full Report
Web3 is meant to usher in a new era for the internet. More accountable and open, it promises to make our networked world more trustworthy and inclusive. But in recent years, the technology that powers Web3 has become increasingly complex. This is especially true in the case of blockchain, the ledger that records transactions for participants in the decentralized finance (DeFi) ecosystem, and the transactions finished by complex interactions of smart contracts, the “lego” of DeFi.All this complexity, in turn, makes it harder to discover DeFi trading strategies, as exemplified by how difficult it is to decode and calculate Maximal Extractable Value (MEV), a measure of the value that can be extracted from a blockchain network. For DeFi and Web3 to flourish, we must tame the intrinsic complexity of smart contract trades and make transactions like MEV more transparent for stakeholders, including analysts, institutions, and traders. This was the motivation that led me to found EigenPhi. In the past two years, we have developed market-leading transaction analytical tools detailing MEV and liquidity on-chain data, as well as bespoke research that enables DeFi stakeholders to understand blockchain behaviors, structures, and affiliations that affect their interests. For example, we are currently providing MEV evaluation to one of the biggest crypto wallets, empowering their MEV-aware design of order-flow processing. Our approach enhances execution qualities for order flow auction providers, and we’re excited to share our appreciation for DeFi to crypto communities.A compact team with global reachWe’re a small startup with 20 people. Most are based in Beijing, but we have small teams in the U.S., Canada and Singapore serving audiences in Asia, Europe, and North America. Our IT infrastructure must be equally global, which is one of the reasons that we decided to migrate our systems to Google Cloud, which is available in most regions and delivers industry-leading availability and security.Another reason for migrating to Google Cloud is that we process massive volumes of trading data for real-time tables and charts on our website. Our algorithms untangle dozens, sometimes hundreds, of transfers in one transaction. This process requires fast and reliable data crunching abilities such as those provided by Google Cloud’s data management and analytics tools: BigQuery, Bigtable and Cloud Spanner for data storage, and DataFlow and Pub/Sub for data streaming and processing. We also use Firebase for application development and Cloud Functions to run our code.The Google for Startups Cloud Program also gave our business a boost. We got firsthand guidance from Google Cloud experts who helped us migrate to the cloud and select the tools that best matched our data processing needs. They also connected us with the wider Google Cloud community so that we could speak at conferences, boost our marketing, and get advance notice of new Google Cloud features and releases.Participants in the Google for Startups Cloud Program can also access Google Cloud credits for many products and tools. This helped reduce financial pressure at a time when we needed to grow fast and demonstrate success to our investors. Another financial advantage is that we didn’t need to invest in an infrastructure team, keeping down our staffing costs. Google Cloud provides the infrastructure and support we need.Although it’s still early days, the results are beyond our greatest expectations. Because we can focus on business and innovation, we have reduced our costs by 70 percent and cut deployment time by 90 percent. Now we see potential for Vertex AI and other Google Cloud machine learning tools to uncover more insights in our blockchain data. In addition, we saved 60% of cost and achieved 2x efficiency moving from a data pipeline based on virtual machines (VMs) to Compute Engine. We’re thrilled with the benefits of a modern cloud-native architecture vs. a traditional implementation. Advice for aspiring entrepreneursWe are a highly specialized organization, but there are two important lessons that other entrepreneurs can take from our experience. The first is that no matter how attractive your business model is, it means nothing if you can’t find or afford the technology to make it a reality. We had a clear vision for analyzing transaction data generated by blockchain to reveal the value inside, but this required vast amounts of data storage and processing, mostly in real time. Google Cloud provided the best, most affordable tools for the job.The second is to stay focused. When we first started, we were slightly distracted by all the business opportunities that blockchain data offers. We had to make a firm decision to focus on analytical tools that measure MEV as the entry point of liquidity trading. This is also where Google Cloud played a critical role. By taking care of the infrastructure and reducing costs, we were able to concentrate on innovation and shortened our time to market. EigenPhi team members EigenPhi now enjoys a reputation as an extremely high-quality blockchain transaction analysis tool for the Web3 community, helping DeFi stakeholders such as order flow originators and order flow auction providers protect and grow their revenues. This is no small achievement, but Google Cloud helped make it possible. From its technology to its people, it offers an amazing ecosystem of resources for any startup to reduce costs and gain a competitive edge, whatever their area of business expertise. We’re excited to continue the partnership to innovate and develop new ways to help stakeholders expand their revenue goals. If you want to learn more about how Google Cloud can help your startup, visit our page here to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more.
Analysis Summary
# Industry News: EigenPhi Leverages Google Cloud to Solve Web3 Complexity
## Summary
Web3 data startup EigenPhi has migrated its blockchain analytics platform to Google Cloud, targeting the increasing complexity of Decentralized Finance (DeFi). The move enables real-time decoding of Maximal Extractable Value (MEV) and provides deep transaction transparency for institutional stakeholders and crypto wallets.
## Key Details
- **Date:** September 19, 2023
- **Companies Involved:** EigenPhi, Google Cloud
- **Category:** Infrastructure Partnership & Cloud Migration
## The Story
EigenPhi, a startup specializing in DeFi liquidity and MEV (Maximal Extractable Value) analysis, has transitioned its infrastructure to Google Cloud to handle the massive data volumes generated by on-chain transactions. As DeFi protocols grow more complex—often involving hundreds of transfers within a single transaction—the demand for high-speed, real-time data processing has surged.
By joining the "Google for Startups Cloud Program," EigenPhi replaced a traditional virtual machine-based (VM) data pipeline with a cloud-native architecture. They utilized tools such as BigQuery and Cloud Spanner for storage, and DataFlow for real-time streaming. This shift allows them to decode the "DeFi Lego" (interconnected smart contracts) to provide clarity for traders and institutions who need to understand market behaviors like arbitrage and front-running.
## Business Impact
### For the Companies Involved
* **EigenPhi:** Achieved a **70% cost reduction** and a **90% reduction in deployment time**. The partnership has allowed a small team of 20 to maintain a global presence across North America and Asia without needing a massive in-house DevOps team.
* **Google Cloud:** Strengthens its position as the preferred infrastructure provider for Web3 startups, showcasing its ability to handle specialized blockchain data workloads better than legacy VM setups.
### For Competitors
* Competitors in the blockchain analytics space (such as Nansen or Dune) face increased pressure to optimize infrastructure costs. EigenPhi’s 60% saving on pipeline costs via Compute Engine sets a high bar for operational efficiency in the "data-intensive" crypto-analytics market.
### For Customers
* **Crypto Wallets and Institutions:** Gain access to "MEV-aware" designs. One major wallet is already using EigenPhi to protect users from predatory trading practices during order-flow processing.
* **Traders:** Receive faster, more accurate insights into liquidity and execution quality.
### For the Market
* This signals a maturing of the Web3 tech stack—moving away from decentralized but inefficient infrastructure toward high-performance, centralized cloud providers to achieve the speed required for financial services.
## Technical Implications
The migration highlights the shift from **Virtual Machines (VMs)** to **Serverless and Cloud-Native services** (Cloud Functions, Vertex AI, and managed databases). The ability to "untangle" hundreds of transfers in one transaction requires massive parallel processing power, which EigenPhi is now scaling via Google’s DataFlow and Pub/Sub.
## Strategic Analysis
* **Market Positioning:** EigenPhi is positioning itself as the "X-ray" for DeFi transactions, focusing specifically on the MEV niche—the most lucrative but least transparent part of blockchain trading.
* **Competitive Advantage:** The use of Google’s **Vertex AI** for future machine learning applications could give EigenPhi an edge in predictive analytics for liquidity movements.
* **Challenges:** Relying heavily on a single cloud provider (Google) introduces centralization risks, which can be a point of contention in the "decentralized" Web3 community.
## Industry Reactions
* **Expert Commentary:** Analysts view this as part of a broader trend where Web3 "back-end" services are being professionalized using Tier-1 enterprise cloud tools to meet institutional compliance and performance standards.
* **Market Response:** The DeFi community generally welcomes tools that increase "execution quality" for order flow auction providers, as high MEV often results in "slippage" and poor prices for retail users.
## Future Outlook
* **AI Integration:** EigenPhi plans to integrate Vertex AI to uncover deeper patterns in on-chain behavior.
* **Expansion:** Expect more specialized analytical tools focusing on "Order Flow Auctions" (OFA) as institutional interest in Ethereum-based finance grows.
## For Security Professionals
This news is highly relevant to cybersecurity practitioners in the Fintech and Blockchain space for two reasons:
1. **Transparency as Security:** MEV is often indistinguishable from "exploits" or market manipulation. Better transparency tools help security analysts identify malicious smart contract interactions in real-time.
2. **Infrastructure Security:** The migration to Google Cloud emphasizes "industry-leading availability and security." For Web3 firms, moving away from self-managed infrastructure reduces the attack surface related to misconfigured servers and unpatched VMs.