We deliver audit-ready smart contracts in 2-4 weeks, from concept to mainnet deployment. Our process is built for founders who need to move fast without compromising security.
LABS
Services
Decentralized Data Lake for Predictions
We architect and implement scalable, decentralized storage and compute infrastructure specifically for historical and real-time prediction market data, built on protocols like Filecoin, Arweave, and Celestia.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built for speed and scale.
We don't just write code; we engineer systems that protect your assets and your users.
- Protocol Development: Custom
ERC-20,ERC-721, andERC-1155tokens, DEXs, lending pools, and staking mechanisms. - Security-First Approach: Built with
OpenZeppelinlibraries, following established patterns, and prepared for third-party audits from day one. - Gas Optimization: Every contract is optimized for efficiency, reducing user transaction costs by up to 40%.
- Full Lifecycle Support: We handle deployment, verification on Etherscan, and provide ongoing maintenance and upgrade paths.
key-features-cards
BUILT FOR SCALE AND SECURITY
Core Architecture & Capabilities
Our decentralized data lake is engineered for high-throughput, verifiable predictions. We deliver the foundational infrastructure so your team can focus on building models, not managing data pipelines.
03
Sub-Second Query Engine
Perform complex analytical queries on petabytes of structured on-chain data in under 1 second. Powered by a distributed query layer optimized for time-series blockchain data.
< 1 sec
P95 Query Latency
100K+
QPS Capacity
05
Enterprise-Grade SLAs
Guaranteed 99.9% uptime for data availability and API endpoints. Includes dedicated support, incident response, and performance monitoring dashboards.
99.9%
Uptime SLA
< 15 min
Mean Time to Recovery
06
Compliance & Audit Ready
Built with data provenance, access logging, and regulatory compliance in mind. Architecture supports SOC 2 Type II, GDPR, and financial data handling standards.
benefits
TANGIBLE RESULTS
Business Outcomes for Your Prediction Platform
Our Decentralized Data Lake delivers measurable improvements in speed, cost, and reliability for your prediction markets and AI models.
01
Accelerated Model Development
Access pre-processed, on-chain and off-chain data feeds in a unified schema. Reduce data engineering time by 80% and launch new prediction models in weeks, not months.
80%
Faster Data Prep
< 4 weeks
Model Launch
02
Enhanced Prediction Accuracy
Incorporate high-fidelity, real-time data from decentralized oracles (Chainlink, Pyth) and historical on-chain events. Improve model accuracy with verifiable, tamper-proof inputs.
Real-time
Data Feeds
On-chain
Verification
03
Reduced Operational Overhead
Eliminate the cost and complexity of managing centralized data pipelines. Our managed infrastructure handles ingestion, storage, and indexing with a 99.9% uptime SLA.
99.9%
Uptime SLA
0
Pipeline Management
04
Scalable & Secure Data Access
Serve thousands of concurrent queries with sub-second latency. Built with enterprise-grade security, including encrypted data at rest and granular, role-based access control.
< 1 sec
Query Latency
SOC 2
Compliance
The Strategic Decision for Your Prediction Engine
Build vs. Buy: Decentralized Data Infrastructure
Compare the total cost, risk, and time investment of building a decentralized data lake in-house versus partnering with Chainscore Labs for a production-ready solution.
| Key Factor | Build In-House | Chainscore Data Lake |
|---|---|---|
Time to Production | 6-12 months | 4-8 weeks |
Initial Development Cost | $250K - $600K+ | $75K - $200K |
Security & Audit Overhead | High (unaudited code, custom risk) | Low (pre-audited, battle-tested patterns) |
Core Team Required | 3-5 Senior Engineers (6+ months) | 1-2 Integrators (2-4 weeks) |
Data Ingestion Pipelines | Build & maintain all connectors | Pre-built for 20+ chains & oracles |
Query Performance (P95 Latency) |
| < 100ms (optimized index layer) |
Uptime & Reliability SLA | Your responsibility (0% SLA) | 99.9% SLA with monitoring |
Ongoing Maintenance (Year 1) | $150K+ in engineering time | Optional SLA from $50K/year |
Protocol Upgrades & Forks | Manual tracking & implementation | Automated, managed service |
Total Cost of Ownership (Year 1) | $400K - $750K+ | $125K - $250K |
how-we-deliver
PROVEN FRAMEWORK
Our Delivery Methodology
We deliver production-ready data infrastructure through a structured, transparent process that ensures security, scalability, and rapid time-to-market for your predictive models.
01
Architecture & Design Sprint
We begin with a collaborative workshop to define your data schema, ingestion pipelines, and compute requirements. This phase establishes the technical blueprint, ensuring the lake is optimized for your specific prediction models from day one.
2-3 days
Workshop Duration
1 week
Blueprint Delivery
02
Secure Data Pipeline Development
Our engineers build robust, fault-tolerant pipelines using Apache Kafka and Apache Flink to ingest and process real-time on-chain data. All components are built with zero-trust security principles and undergo peer review.
>1M TPS
Ingestion Capacity
< 100ms
Processing Latency
03
Decentralized Storage Integration
We implement and configure decentralized storage layers (IPFS, Arweave, Filecoin) for your processed datasets, ensuring data integrity, censorship resistance, and verifiable provenance for all model inputs.
Immutable
Data Provenance
Geo-redundant
Storage
04
Compute & Model Deployment
We containerize and deploy your machine learning models (TensorFlow, PyTorch) onto a scalable compute layer, enabling on-demand inference directly against the live data lake with sub-second response times.
Kubernetes
Orchestration
< 500ms
Inference P95
05
Security Audit & Penetration Testing
Every component—from smart contracts managing data access to API gateways—undergoes rigorous internal review followed by a formal audit from a leading Web3 security firm before production release.
100%
Code Coverage
Formal Audit
Pre-Launch
06
Production Handoff & SRE Support
We provide comprehensive documentation, monitoring dashboards (Grafana/Prometheus), and 24/7 Site Reliability Engineering support with defined SLAs to ensure your data lake operates at peak performance.
99.9%
Uptime SLA
< 15 min
Incident Response
tech-stack
PRODUCTION-READY STACK
Protocols & Technologies We Implement
We build your decentralized data lake on battle-tested protocols and enterprise-grade infrastructure, ensuring scalability, security, and seamless integration with your existing prediction models.
05
EVM & Solidity Smart Contracts
Core prediction market logic, staking pools, and reward distribution built with audited Solidity contracts on Ethereum, Polygon, or other EVM-compatible L2s.
OpenZeppelin
Security Standards
Gas-Optimized
Code
Decentralized Data Lake
Frequently Asked Questions
Get clear answers on how our Decentralized Data Lake for Predictions accelerates your AI and on-chain analytics projects.
A Decentralized Data Lake is a unified, scalable repository for structured and unstructured data, built on decentralized storage like IPFS or Arweave. For predictions, we ingest, process, and index real-time on-chain data (transactions, DeFi events, NFT trades) alongside off-chain signals (market feeds, social sentiment). This creates a verifiable, tamper-proof data foundation for training ML models and powering predictive analytics, ensuring your AI agents and dApps have access to high-quality, real-time data without centralized points of failure.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall