End-to-end development of custom blockchains and Layer 2 solutions for enterprise-grade applications.
We architect and deploy purpose-built blockchain networks tailored to your specific throughput, privacy, and governance requirements. Our development process delivers:
EVM-compatible chains.Ethereum, Solana, and Cosmos.From a 2-week proof-of-concept to a production-ready mainnet, we manage the entire lifecycle—security audits, economic modeling, and devops—so you can focus on your product.
Our on-chain monitoring and analysis platform delivers real-time protection against sophisticated Web3 threats, reducing fraud losses and protecting user assets.
Analyze every transaction across EVM chains in under 100ms. Our proprietary heuristics and ML models identify malicious patterns—from flash loan attacks to phishing signatures—before they impact your users.
Access a continuously updated risk score for any wallet. Our system tracks on-chain history, association with known threats, and behavioral patterns to flag high-risk counterparties automatically.
Proactively scan and audit deployed smart contracts for common and novel exploit vectors. Integrate our API to block interactions with contracts exhibiting suspicious logic or known vulnerabilities.
Define and deploy custom detection logic tailored to your protocol's specific risk profile. Receive instant alerts via Slack, PagerDuty, or webhook when thresholds are breached.
Automatically screen transactions and wallets against global sanctions lists and OFAC databases. Generate audit-ready reports for regulatory compliance across jurisdictions.
Our security team provides rapid response support and detailed forensic analysis for confirmed incidents. We help trace fund flows, identify root causes, and implement mitigations.
Our real-time fraud detection systems deliver concrete, auditable improvements to your platform's security and operational efficiency.
Proactively identify and block malicious transactions before they settle, directly protecting your treasury and user funds from sophisticated on-chain attacks like flash loan exploits and wallet drainers.
Provide users with clear, real-time risk assessments for transactions and smart contract interactions, building confidence and reducing support tickets related to scams and phishing.
Implement transaction monitoring and suspicious activity reporting (SAR) workflows that align with emerging global frameworks like MiCA and Travel Rule requirements for VASPs.
Automate manual review processes with ML-driven risk scoring, allowing your security team to focus on high-priority threats instead of sifting through false alerts.
Deploy a system built for high-throughput environments. Our detection engines handle peak loads during market volatility without degrading performance or missing threats.
A technical and financial comparison of developing a real-time fraud detection system in-house versus implementing Chainscore's managed service.
| Key Factor | Build In-House | Chainscore Managed Service |
|---|---|---|
Time to Production | 6-12 months | 2-4 weeks |
Initial Development Cost | $250K - $750K+ | $15K - $50K Setup |
Annual Maintenance & Ops | $150K - $300K | $60K - $200K (SLA) |
Security & Audit Overhead | High (Your Risk) | Pre-audited, Shared Responsibility |
Model Accuracy & Coverage | Starts from scratch | Pre-trained on 10M+ transactions |
Supported Chains & Protocols | Limited to your team's expertise | Ethereum, Solana, Polygon, Base, 20+ others |
Real-time Alert Latency |
| < 100 milliseconds |
Team Requirements | 5-10 Engineers + Data Scientists | 1-2 Integration Engineers |
Feature Updates & ML Retraining | Manual, project-based | Automatic, continuous |
Uptime & Scalability SLA | Your responsibility | 99.9% Uptime, Auto-scaling |
A structured, security-first approach to deploy a production-ready fraud detection system that integrates seamlessly with your existing stack.
We conduct a comprehensive analysis of your transaction flows and user behaviors to architect a tailored detection engine. This defines the rule sets, ML models, and on-chain/off-chain data sources needed for your specific risk profile.
Development and secure integration of on-chain monitoring agents and custom oracles. We implement real-time event listening for transactions, token transfers, and wallet interactions, feeding data to the detection engine.
Deployment of the core rule-based and machine learning models into a scalable, isolated environment. Includes configuration of risk scoring, alert prioritization, and integration with your incident management systems (PagerDuty, Slack).
We run the system against a library of historical attack patterns (flash loan exploits, wash trading, Sybil attacks) and custom scenarios in a staging environment. This validates detection accuracy and fine-tunes thresholds to minimize false positives.
Managed cut-over to your production blockchain environment. We handle the secure configuration of API gateways, data pipelines, and finalize the alerting and reporting dashboards for your security team.
End-to-end development of secure, scalable blockchain networks and applications tailored to your business logic.
We architect and build custom blockchains, sidechains, and Layer 2 solutions from the ground up. Our full-cycle development delivers production-ready networks with consensus mechanisms, governance models, and native tokenomics designed for your specific use case.
Deploy a custom EVM-compatible chain or app-specific rollup in under 8 weeks, not months.
Substrate, Cosmos SDK, or custom Geth/Besu forks.Solidity, Rust, or Move.Common questions from CTOs and technical leaders evaluating blockchain fraud detection systems.
Standard deployments take 2-4 weeks from kickoff to production. This includes integration with your existing RPC endpoints, configuration of detection rules, and setting up alerting dashboards. For custom rule development or multi-chain support, timelines extend to 6-8 weeks.
Our experts will offer a free quote and a 30min call to discuss your project.