WebPi.AI

Agent-Native Trading Infrastructure

We build institutional-grade trading infrastructure — from low-latency OTC systems to on-chain settlement engines. AI agents power everything we do.

Sydney, Australia
Discover

What We Build

OTC Trading Infrastructure

OTC Trading Infrastructure

Sub-microsecond electronic trading with FIX protocol gateways, multi-LP smart order routing, and real-time risk management.

On-Chain Settlement Engine

On-Chain Settlement Engine

High-performance matching engine in Rust with deterministic state machine architecture, L2 smart contract settlement, and cryptographic order signing.

Quantitative Strategies

Quantitative Strategies

AI-driven strategy engine with continuously trained models, sub-microsecond VWAP pricing pipeline, and automated position and risk management.

Agent-Native Operations

Agent-Native Operations

AI agents participate in every layer — from a purpose-built operations platform to automated code review, diagnostics, and deployment.

OTC Trading Infrastructure

  • FIX Protocol Gateway — Direct connectivity to multiple liquidity providers with sub-10ms transaction latency.
  • Smart Order Routing — Intelligent order distribution across LPs with real-time ladder aggregation and best-execution logic.
  • Order Management System — Full lifecycle management: placement, matching, cancellation, and execution reporting.
  • Real-Time Risk Controls — Position monitoring, margin calculation, and automated risk responses at trade speed.
  • Proven Performance — 100 ns median order fill, 900 ns pricing pipeline, and 1.2 M+ events/sec throughput in engine benchmarks.
Low-latency OTC trading infrastructure

On-Chain Settlement Engine

  • Deterministic Matching Engine — Rust-based central limit order book with price-time priority and configurable block intervals.
  • L2 Smart Contract Settlement — On-chain asset custody with deposit verification, state root commitment, and Merkle-proof withdrawals.
  • Cryptographic Order Signing — EIP-712 typed data signatures for off-chain action verification without gas costs.
  • Built-In Risk Engine — Circuit breakers, configurable margin parameters, and auto-deleveraging for system integrity.
On-chain settlement engine architecture

Quantitative Strategies

  • Strategy Engine — AI-driven hedging and execution strategies, continuously trained and deployed to production.
  • Real-Time Pricing — VWAP-based pricing engine with 900 ns pipeline latency, position-aware bias, and multi-LP ladder aggregation.
  • Predictive Risk Management — Client flow analysis, markout toxicity detection, and position risk forecasting — all model-driven.
  • Continuous Improvement — Strategy models retrained on live market data with automated evaluation, versioning, and rollout.
Quantitative strategy engine

Agent-Native Operations

How a lean team delivers institutional-grade infrastructure.

  • AI Operations Platform — Purpose-built platform for system diagnostics, automated testing, incident response, and production operations.
  • Self-Hosted AI Infrastructure — On-premise model serving with domain-adapted training, keeping proprietary knowledge within our environment.
  • Knowledge-Augmented Agents — AI with real-time access to project history, architecture docs, and production telemetry for context-aware diagnostics.
  • Full-Cycle Agent Development — AI participates in every step from architecture through deployment and monitoring.
Agent-native development operations

Technology & Cloud

Hybrid cloud architecture spanning bare-metal, public cloud, and L2 networks — deployed and managed by AI agents.

Hybrid Cloud

AWS and Equinix Metal bare-metal — multi-region deployments optimised for latency and resilience.

Trading Connectivity

FIX protocol gateways, Chronicle Queue event streaming, gRPC microservices, and real-time data pipelines.

Blockchain Settlement

L2 smart contract integration, EIP-712 signature verification, deterministic state commitment, and Merkle-proof asset custody.

Rust Systems

Sub-microsecond order processing and pricing pipeline. Deterministic finite state machine, mmap-backed journaling, and BFT consensus.

Agent Orchestration

Domain-specific AI agents managing development, code review, deployment, monitoring, and incident response.

Quantitative Models

Continuously trained strategy models with automated evaluation, versioning, and production rollout.

Performance figures reflect internal engine benchmarks (Criterion, single-symbol configuration on development hardware) and do not represent end-to-end production latency. Actual performance varies with hardware, network conditions, instrument count, and market activity.

Get In Touch

Interested in our trading infrastructure or AI-native approach? Reach out.