On-Chain AI & DeFAI Development
Trusted & Certified
DeFAI is the convergence of autonomous AI agents with DeFi protocols. It enables on-chain decision-making, verifiable inference, and self-executing financial strategies without human intervention.
DeFAI systems rely on three core components. First, zkML or OPML to prove AI model execution on-chain. Second, agent frameworks such as Eliza and ai16z for multi-agent DeFi coordination. Third, smart contract automation for MEV capture, yield optimisation, and portfolio rebalancing.
Ment Tech builds production-grade DeFAI systems combining LLM reasoning, on-chain data feeds via Chainlink and Pyth, and autonomous smart contract execution across Ethereum, Solana, Base, and Arbitrum.
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
Speed, complexity, and fragmentation define modern DeFi. Human oversight alone cannot keep pace.
Human Latency Eliminates DeFi Alpha
MEV opportunities open and close within a single Ethereum block of 12 seconds. Yield rates shift across 100+ protocols on 12+ chains within minutes. Human portfolio managers cannot operate at the speed required to capture alpha in modern DeFi. Autonomous AI agents can.
No Verifiability for AI DeFi Decisions
Most AI trading bots operate as black boxes. Institutional DeFi demands transparent, auditable decision-making. Without zkML or OPML proofs, there is no way to verify whether an agent executed a strategy as intended. This creates critical gaps in trust and regulatory compliance.
DeFi Protocol Fragmentation at Scale
Over $80B is locked across 200+ DeFi protocols on 12+ chains. Optimal capital allocation requires processing live data across Uniswap, Aave, Compound, Curve, GMX, dYdX, and dozens of yield protocols simultaneously. No human analyst or simple script can optimise across this complexity in real time.
LLMs Lack Native On-Chain Awareness
General-purpose LLMs have no native access to real-time on-chain data including pool states, liquidation thresholds, mempool activity, or gas prices. Effective DeFAI requires purpose-built pipelines connecting on-chain data sources such as Chainlink, Pyth, and The Graph directly to AI reasoning engines.
200+
Active DeFi Protocols
$80B+
Total Value Locked
12s
Ethereum Block Time
Every day without AI-powered DeFi strategy costs institutional capital an estimated 5 to 15% APY in unrealised yield and missed MEV opportunities.
Ment Tech builds DeFAI systems from the ground up. This includes AI reasoning layers combining LLMs with live on-chain data feeds, autonomous agent frameworks using Eliza, ai16z, and custom agents, on-chain inference with zkML and OPML proofs, and smart contract automation for MEV capture, yield optimisation, and portfolio rebalancing.
zkML-Verified On-Chain Inference
We implement EZKL and Risc Zero to generate zero-knowledge proofs of neural network inference, enabling on-chain verification of AI model outputs.
Sub-100ms Agent Execution
Our DeFAI agent infrastructure achieves sub-100ms latency from on-chain event detection to smart contract execution, capturing MEV and arbitrage windows that humans cannot.
AI Governance and Risk Guardrails
Every DeFAI agent includes configurable risk limits, position caps, emergency pause functionality, and multi-sig override controls to prevent runaway autonomous execution.
Native DeFi Protocol Integration
Pre-built adapters cover Uniswap V3 and V4, Aave V3, Compound V3, Curve, GMX, and 20+ additional protocols, enabling AI agents to interact with any DeFi primitive out of the box.
From verifiable inference to fully autonomous DeFi strategies.
zkML - Verifiable On-Chain Inference
Zero-knowledge proofs of neural network execution via EZKL and Risc Zero. Verifies on-chain that an AI made exactly the decision a smart contract expected, without exposing model weights.
OPML - Optimistic Machine Learning
ML execution with fraud-proof dispute resolution, analogous to Optimistic Rollups but applied to inference. Lower compute overhead than zkML for non-adversarial environments.
AI DeFi Agent Frameworks
Autonomous DeFi agents built on Eliza by ai16z, custom agent runtimes, and LLM reasoning layers with real-time on-chain tool access. Agents read pool state, execute swaps, manage positions, and participate in governance.
AI Yield Optimization Agent
An LLM-powered agent that monitors yield rates across 50+ DeFi protocols, simulates reallocation scenarios, and executes optimal rebalances via ERC-4626 vault strategies, outperforming static farming scripts.
MEV Bot & Arbitrage Agent
High-frequency AI agents scanning Ethereum, Arbitrum, and Solana mempools for MEV opportunities including liquidations, cross-chain arbitrage, and statistical arbitrage between AMM pools.
AI Liquidation Bot
An intelligent liquidation agent monitoring undercollateralised positions across Aave, Compound, Morpho, and custom lending protocols. Uses price prediction models to anticipate liquidation events and position ahead of them.
Cross-Chain AI Agent
A multi-chain agent monitoring and executing across Ethereum, Arbitrum, Base, Optimism, BNB Chain, and Solana simultaneously, routing capital to the highest-yield opportunities across chains.
AI Governance Agent
An LLM-powered agent that reads proposals, analyses protocol implications, generates summaries, recommends votes against a configurable mandate, and executes on-chain votes autonomously.
AI Portfolio Management Agent
An autonomous DeFi portfolio manager using reinforcement learning for continuous strategy optimisation across DEXs, lending protocols, derivatives, and yield vaults to meet target risk and return parameters.
On-Chain AI Oracle
An AI-powered oracle enriches standard price feeds with predictive signals including volatility forecasts, liquidation heatmaps, liquidity depth predictions, and on-chain sentiment analysis.
DeFi Data Intelligence Pipeline
Real-time on-chain data infrastructure for AI agents via The Graph subgraph queries, Dune Analytics integration, custom event indexers, and normalised multi-protocol state feeds.
AI Agent Security & Guardrails
Safety infrastructure for autonomous agents including configurable position limits, multi-sig override, emergency pause, anomaly detection, and an auditable on-chain log of all agent decisions.
DeFAI Performance Monitoring
A real-time dashboard tracking agent P&L, strategy attribution, risk metrics including Sharpe ratio, drawdown and VaR, gas efficiency, and benchmarks against passive DeFi strategies.
From on-chain data ingestion to autonomous agent execution and zkML proof generation.
Real-time blockchain data ingestion: event listeners, The Graph subgraph queries, Chainlink Data Streams, Pyth price feeds, mempool monitoring, and DeFi protocol state snapshots.
LLM reasoning layer with DeFi-specific tool integrations: GPT-5 / Gemini with structured outputs, custom fine-tuned models for on-chain pattern recognition, and reinforcement learning for strategy optimization.
Verifiable AI inference pipeline: EZKL for zkML proof generation from ONNX models, Risc Zero zkVM for general computation proofs, and OPML dispute game contracts for optimistic execution.
Smart contract execution layer: agent guardian contracts, transaction batching, Flashbots bundle submission, cross-chain execution via LayerZero, and Gelato/Chainlink Automation for scheduled operations.
AI agent safety guardrails: position caps, drawdown circuit breakers, emergency pause, OFAC wallet screening for agent counterparties, and on-chain decision attestation (EAS).
Agent performance dashboards tracking P&L, Sharpe ratio, gas efficiency, strategy attribution, and audit logs of every agent decision, queryable via GraphQL.
AI, blockchain, and ZK infrastructure powering on-chain autonomous agents.
Blockchain Networks
Infrastructure
Smart Contract Standards
Integrations & Partners
AI governance frameworks and DeFi compliance for autonomous agents.
European Union
United States
United Kingdom
Singapore
UAE
Switzerland
Hong Kong
Germany
MiCA (EU)
Markets in Crypto-Assets Regulation, comprehensive CASP framework
FATF Guidance
VASP AML/CFT requirements including Travel Rule compliance
SEC Framework
Securities token analysis under Howey test jurisprudence
FINMA Guidelines
Swiss DLT framework for tokens and digital assets
FCA Registration
UK cryptoasset business registration requirements
VARA Compliance
Dubai Virtual Asset Regulatory Authority licensing
DORA (EU)
Digital Operational Resilience Act ICT requirements
ISO/IEC 30174
Blockchain interoperability reference architecture
EU AI Act
High-risk AI system requirements for financial AI agents, transparency, audit trail, and human oversight
MiCA (EU)
CASP licensing requirements for DeFi front-end operators, KYC gate architecture for AI-managed protocols
SEC AI Guidance
AI trading system compliance for US-regulated entities, model documentation and explainability requirements
Seven stages. Zero shortcuts. Production-grade from day one.
Before any code is written, we map the full agent blueprint. What it optimizes, which protocols it touches, where the risk boundaries sit, and which verification layer it needs.
Bad data kills good agents. We build robust real-time infrastructure covering The Graph subgraphs, Chainlink and Pyth oracle feeds, mempool monitoring, and clean normalized state feeds your AI model can actually use.
We train or fine-tune models for your specific DeFi task, then wire them into a full agent runtime with live protocol adapters and hard-coded risk guardrails.
We make your agent's decisions provable on-chain. EZKL transpilation for zkML circuits or OPML dispute contracts for optimistic execution, plus a deployed on-chain verifier.
Every agent-facing contract goes through a CertiK audit. Guardian contracts, verifier contracts, execution logic. We also run adversarial testing against agent decision boundaries.
Six months of historical backtesting. Testnet deployment with simulated capital. Stress tests across crash scenarios, liquidity crunches, and gas spikes before a single dollar goes live.
We go live at 10% of target AUM and scale deliberately. Real-time P&L tracking, automated alerts, and monthly strategy reviews run for the full deployment lifecycle.
Multi-layer protection for autonomous AI agents managing real capital.
Smart contract & protocol audits
Security audits & tooling
Security research & code review
Blockchain security testing
Blockchain-native security firm
Smart contract verification
Enterprise-Grade Security
Bank-level encryption and compliance standards
256-bit AES encryption
99.99% Uptime SLA
24/7 Monitoring
Proven DeFAI applications across trading, yield, governance, and risk management.
DeFi Protocol
AI Yield Optimizer - $200M AUM
A DeFi fund needed autonomous yield optimization across 40+ protocols on 6 chains. We built an Eliza-based agent with real-time APY monitoring, risk-adjusted rebalancing, and ERC-4626 vault execution. It outperformed static yield strategies by 8.3% APY.
Market Making / MEV
MEV Arbitrage Bot - $18M Monthly Revenue
A market maker needed a production MEV bot targeting sandwich-free arbitrage across Uniswap V3, Curve, and Balancer on Ethereum and Arbitrum. Our system captured $18M per month in arbitrage revenue using Flashbots MEV-Share integration.
Institutional DeFi Lending
zkML Credit Scoring on Lending Protocol
A DeFi lending protocol needed AI-powered undercollateralized lending for institutional borrowers. We implemented EZKL zkML to generate on-chain proofs of credit model inference, enabling verifiable risk assessment without exposing model logic.
DAO Governance
AI Governance Agent - 12 DAOs
A DAO tooling startup wanted an AI governance product. We built a multi-protocol governance agent on Eliza that monitors Snapshot and on-chain Governor proposals, generates LLM analysis, and executes votes per delegated mandate. It is now active across 12 DAOs.
See Our AI Solutions in Action
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Why institutional DeFi capital is moving to AI-powered autonomous strategies.
For any DeFi operation managing >$5M, AI-powered autonomous agents with verifiable inference are the new institutional standard.
Case Study
Singapore-Based DeFi Fund
DeFi Fund Management
The Challenge
A MAS-registered DeFi fund managing $200M needed autonomous yield optimization across Aave, Compound, Morpho, Curve, and Convex on 6 chains, while maintaining real-time risk management and a sub-3% maximum drawdown constraint.
Our Solution
Ment Tech team built an Eliza-based DeFAI agent with real-time DefiLlama and The Graph data pipelines, Monte Carlo risk simulation for rebalance decisions, ERC-4626 vault strategy hot-swap, and Chainlink Automation for keeper-triggered rebalances. The system processed 2,000+ data points per minute across 40+ protocols and executed 180 rebalances in its first 90 days.
Over static benchmark
8.3% APY alpha
In first 90 days
180 autonomous rebalances
Vs. 3% target
2.1% max drawdown
Post-launch
$0 human intervention
Typical performance and revenue outcomes from production DeFAI deployments.
Over static DeFi allocation
5-15% APY
Captured arbitrage
$1M-$20M/mo
Per fund
$500K+/yr
Drawdown reduction vs manual
50-80%
From MEV bots to full AI protocol management systems.
DeFAI MVP
A single-strategy AI agent for yield optimization or MEV on 1 to 2 chains with a security review. Built for DeFi protocols and funds validating AI-powered strategy before full commitment.
DeFi protocols and funds wanting to validate AI-powered strategy before full commitment
Full DeFAI System
A multi-strategy agent system with zkML verification, cross-chain execution, and a full CertiK audit. Built for institutional DeFi operations with $50M+ AUM requiring verifiable, multi-strategy automation.
Institutional DeFi operations with $50M+ AUM requiring verifiable, multi-strategy automation
Institutional DeFAI
Enterprise DeFAI with formal verification, EU AI Act compliance, multi-firm audit, and a dedicated engineering team. Built for regulated financial institutions and funds above $100M AUM.
Regulated financial institutions and $100M+ funds requiring the highest compliance standard
DeFAI Retainer
Monthly engineering and strategy optimization for post-launch DeFAI systems requiring continuous improvement and protocol integration updates.
Post-launch DeFAI systems requiring continuous optimization and protocol integration updates
What's Included in Every Engagement
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FAQ
Off-chain AI inference means the model runs on a centralized server and sends results to a smart contract. There is no way to verify the model actually ran, or ran correctly. On-chain AI inference, enabled by zkML or OPML, produces a cryptographic proof that a specific model produced a specific output. Smart contracts can verify this proof trustlessly. For institutional DeFi, this distinction matters enormously from both a trust and regulatory compliance standpoint.
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Key Takeaways
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