We built the infrastructure that powers the full lifecycle of real-world assets, from AI-driven valuation and regulated trading to automated compliance and institutional settlement. Infrastructure for institutions. A marketplace for everyone.
We didn't build a tokenization app. We built the capital markets infrastructure that makes real-world assets tradeable, governable, and continuously valued. Then we built a marketplace on top of it.
From onboarding and compliance through valuation, trading, yield distribution, and tax reporting. Our infrastructure manages every stage of an asset's lifecycle. Not a point solution. A complete operating layer for real-world assets across any vertical.
Autonomous specialist agents independently analyse assets, vote on-chain, and reach consensus through weighted decision-making. The system learns from outcomes, adjusts agent performance over time, and falls back to human review when confidence thresholds are not met.
Three simultaneous trading venues: an order book with limit and stop orders, automated liquidity pools, and direct negotiation with trustless settlement. Price discovery, circuit breakers, and compliance checks enforced at every layer.
Built on our own infrastructure, the BlockFraction marketplace gives retail and institutional investors access to premium real-world assets - real estate, equipment, collectibles, infrastructure - with fractional ownership, automated yields, and full secondary market liquidity.
Five layers that take a physical asset from onboarding to continuous, regulated trading.
Assets are structured under the regulated security token standard with automated KYC, AML, and sanctions screening. Per-jurisdiction transfer rules, identity registries, and compliance contracts are deployed for each operator, not bolted on after the fact.
Sensors and connected devices feed live condition, performance, and environmental data into our digital bridge. The infrastructure correlates signals across systems in real time, so the on-chain representation always reflects the physical reality.
Specialist AI agents - valuation, financial, market, and maintenance - analyse independently and vote on-chain. Weighted consensus with confidence scoring, conflict detection, and adaptive learning. Not one model's opinion. A system that improves over time.
A three-tier treasury - asset, SPV, and platform level - manages fee collection, revenue splits, and automated yield distribution. Configurable fee waterfalls, operator revenue rules, and multi-jurisdiction tax reporting are handled natively, not through manual reconciliation.
Three trading venues operate simultaneously: an order book with limit, market, and stop orders; automated liquidity pools for continuous pricing; and direct negotiation with trustless escrow. Every trade is compliance-checked at both order placement and execution.
Asset managers, REITs, and fund operators deploy on our infrastructure with full tenant isolation: their brand, their investors, their compliance rules, our technology.
Each institutional operator gets complete separation: dedicated wallets, isolated data, independent compliance contracts, and their own blockchain signers. Not shared tables with a tenant column. True architectural isolation at the gateway, service, data, and blockchain layers.
Three-tier fee waterfalls from asset to SPV to platform treasury. Operators set their own fee schedules - tokenisation, trading, management, performance - with volume tiers and per-asset overrides. Revenue rules are enforced by smart contracts, not spreadsheets.
Role-based access for platform administrators, asset managers, compliance officers, and investors. Per-operator agent provisioning means each tenant gets their own AI agents with dedicated cryptographic keys and independent performance histories.
Every trade, distribution, and governance decision settles on-chain with cryptographic proof. Agent votes, consensus reasoning, and compliance checks are permanently recorded, giving regulators and auditors an immutable trail without manual reporting.
Real estate, equipment finance, private credit, collectibles, renewable energy - the same infrastructure handles them all. Operators configure compliance rules, fee structures, and yield distribution per asset class through configuration, not custom code. 14 purpose-built services, 164 smart contracts, one architecture that scales across every vertical.
The core infrastructure is built. The next phase extends it into broader capital markets and decentralised finance.
With 14 production services, multi-agent AI consensus, three trading venues, and institutional multi-tenancy already running, the roadmap focuses on expanding reach, not building foundations.
Use fractional asset holdings as collateral on lending protocols, borrowing stablecoins against real-world asset positions without liquidating. Compliance-aware collateral management built on existing treasury infrastructure.
Connect our regulated trading venues to external liquidity sources, bringing deeper price discovery and broader participation beyond the native order book and liquidity pools.
Automated strategies that deploy idle treasury capital across vetted protocols, generating additional returns while maintaining operator-defined risk controls and compliance boundaries.
Expanding settlement beyond Arbitrum to additional networks, giving institutional operators the flexibility to settle on the chain their regulatory framework requires.
Production web and mobile interfaces for institutional operators managing their deployments and retail investors accessing the marketplace, including portfolio management, trading, yield claims, and governance participation.
Every planned capability builds directly on services that are already running: the same consensus engine, the same treasury architecture, the same compliance layer. The infrastructure was designed to extend. The roadmap is execution, not speculation.
An event-driven bridge between physical assets and their on-chain representation. Condition changes propagate automatically. No manual updates, no stale data.
Sensors and connected devices stream condition, performance, and environmental data in real time, across buildings, equipment, vehicles, and infrastructure assets.
The digital bridge correlates data across multiple systems and tenants, detecting patterns that individual sensors miss, like environmental changes driving rising operational costs.
When anomalies are detected, specialist AI agents evaluate severity and financial impact automatically, scoring the asset's condition against its current on-chain valuation.
When conditions warrant it, a revaluation proposal is triggered through multi-agent consensus. The new valuation, every agent's reasoning, and the supporting data are recorded immutably on-chain.
Traditional assets get valued once a year by a surveyor with a clipboard. Our infrastructure values assets continuously through autonomous AI agents with access to real-time condition data, market intelligence, and maintenance history, giving operators and investors confidence that the price reflects reality, not a 12-month-old estimate.
Autonomous specialist agents analyse independently, vote on-chain with confidence scores, and improve over time through outcome validation. Not a single model. A system.
Analyses comparable sales, market trends, rental yields, and live asset condition data to produce independent valuations, specialised per asset class with dedicated reasoning models for real estate, equipment, and collectibles.
Ingests live sensor data and digital twin snapshots to evaluate building health, maintenance backlog, and physical condition impact on value, triggering revaluation proposals when anomalies cross severity thresholds.
Models net operating income, cash flows, occupancy rates, debt service coverage, and dividend sustainability, with specialised sub-models per vertical to capture asset-class-specific financial dynamics.
Monitors macroeconomic indicators, comparable transactions, regulatory shifts, and local market sentiment, providing the external context that grounds every valuation in market reality.
Each agent analyses the proposal using its own data sources and domain expertise. No agent sees another's work before voting, preventing groupthink and ensuring genuine independence.
Agents vote on-chain with confidence scores and supporting reasoning. Consensus is reached through weighted aggregation: expertise-based, reputation-adjusted, with configurable agreement thresholds from simple majority to Byzantine agreement.
Outcomes are validated against actual market performance. Agent weights are adjusted based on prediction accuracy and calibration. The system identifies overconfident agents, optimises consensus strategies, and gets measurably better over time.
From fault detection to value recovery, the entire maintenance lifecycle runs autonomously, with every step recorded on-chain as an immutable audit trail.
Building sensors catch anomalies before they become expensive problems.
Maintenance agent evaluates severity, cost, and impact on asset value.
Multiple agents confirm the assessment through on-chain voting.
Token price reflects the real condition - investors see the truth, not a guess.
Admin schedules maintenance through the platform with full cost tracking.
Once repairs complete, a fresh valuation adjusts the price back up.
Investors always know exactly why a value changed and when it will recover. No surprises, no hidden maintenance costs eating into returns - just honest, real-time reporting backed by sensor data and AI consensus.
Most platforms have one market mechanism. Our infrastructure runs three simultaneously: an order book, automated liquidity pools, and direct negotiation, with compliance enforced at every layer.
Limit, market, stop-limit, and stop-market orders with best-bid/best-ask matching. Time-in-force controls (GTC, IOC, FOK), VWAP tracking, and sub-second settlement on Layer 2. Institutional-grade price discovery for every asset.
Automated market making with continuous pricing for every token pair. Configurable swap fees, LP incentive structures, and circuit breakers that suspend trading when price moves exceed thresholds. Predictable liquidity without relying on active counterparties.
Trustless escrow for block trades and negotiated transactions. Both parties deposit, compliance is verified, and settlement is atomic. No intermediary risk, no counterparty default. Built for institutional-size positions.
Every trade passes through compliance checks twice: at order placement and again at execution. KYC, AML, sanctions screening, country restrictions, and frozen account checks are enforced at the smart contract level, not applied retrospectively.
Rental income, lease payments, dividends, and revenue shares flow through a three-tier treasury with configurable fee waterfalls. Snapshot-based distribution, pro-rata calculation, and multi-jurisdiction tax lot tracking, all automated.
Investors participate within their regulatory framework with per-jurisdiction compliance rules. Tax reporting auto-generates in the correct format - 1099-B for the US, DAC8 for the EU, Zakat calculations for Saudi Arabia - from the same transaction data.
Three venues interact: order book prices feed circuit breakers, pool prices create arbitrage opportunities, and all routes settle through a unified compliance layer. The result is capital markets liquidity for assets that were never tradeable before, with the regulatory controls institutions require.
The operational layers that make real-world assets behave like capital markets instruments
Regulated security token standard with automated KYC, AML, and sanctions screening. Per-jurisdiction transfer rules deployed as smart contracts, not bolted on as middleware.
Two-tier compliance enforcement checks every trade at both order placement and execution. Identity registries, country restrictions, and frozen account controls operate at the contract level.
Multi-jurisdiction tax automation generates the correct format per region - 1099-B, DAC8, Zakat - from the same event-indexed transaction data, reducing compliance overhead by up to 80%.
Autonomous agents with per-asset-class specialisation, weighted voting, confidence scoring, and outcome-validated learning. The system improves its own accuracy over time.
Order book, automated liquidity pools, and direct negotiation operating simultaneously with unified compliance and cross-venue price discovery.
Live sensor data, market intelligence, and financial modelling feed multi-agent consensus. Assets are valued continuously, not annually, with every decision recorded immutably on-chain.
Real estate, equipment finance, collectibles, private credit, infrastructure, renewable energy - the same 14 services handle every asset class. Operators configure compliance rules, fee structures, and yield distribution per vertical through configuration, not custom development. One architecture scales across every asset type and every institutional operator.
Token-holder voting, proposal management, delegation, and timelock execution. Governance decisions are enforced by smart contracts with full audit trails, not advisory votes in a dashboard.
All asset metadata, legal documents, and KYC records are encrypted and stored on IPFS with blockchain-verified integrity. Every document is independently auditable and impossible to alter without detection.
Built on Arbitrum for near-zero gas fees and sub-second finality. Trades, distributions, governance actions, and consensus decisions settle in seconds, making micro-positions economically viable at scale.
The infrastructure gap is closing, and we've already built the answer
MiCA in Europe, VARA in the UAE, and evolving frameworks in the UK and GCC are creating clear pathways for compliant asset tokenisation. The regulatory window for first movers is open now.
The RWA market grew 900% in the past year to $5B, projected to exceed $16T by 2030. BlackRock, JPMorgan, and Goldman Sachs have entered the space. The infrastructure they need does not exist yet. We built it.
14 production services, 164 smart contracts, multi-agent AI consensus with adaptive learning, three trading venues, and institutional multi-tenancy. Not a roadmap. Not a proof of concept. Working capital markets infrastructure.
With our seed round, we secure regulatory approvals, onboard institutional operators, and launch the retail marketplace with premium assets across the GCC, UK, and EU.
Watch how multi-agent AI consensus resolves a £700,000 valuation dispute, tokenises the asset, and opens it for regulated trading, end to end.
Owner claims £3.2M. Market estimates range £2.1M–£2.8M. Without consensus, the deal dies.
4 specialist agents analyse independently using live data, vote on-chain, and reach a verifiable consensus valuation.
£2.36M asset structured as regulated security tokens with full compliance and identity registry.
Order book, liquidity pool, and direct negotiation. Automated yields. On-chain governance.
⚡ 50-second interactive demonstration
Why capital markets infrastructure for real-world assets is essential now
Manual documentation, reconciliation, and legal reviews remain the most time-consuming and costly elements in onboarding real-world assets.
Investors cite lack of timely, trustworthy performance data as a key barrier to participating in RWA markets.
Platforms like Maple Finance and Celsius suffered major credit defaults in 2022-2023, partly due to poor risk monitoring.
RWA platforms report drop-off rates as high as 70% during KYC/investor onboarding due to friction.
From early partners and stakeholders
We built the capital markets infrastructure that institutions need and the marketplace that investors want. If you're an operator, fund manager, or investor looking for what comes after tokenisation, let's talk.
Interested in learning more? We'd love to hear from you
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Gate Avenue - South Zone
Dubai International Financial Centre
Dubai, UAE