At AiPexOps, we engineer intelligent, autonomous systems that redefine what's possible — from capital markets to edge AI.
Public equity market-level automation brought to private equity markets. Our platform bridges the operational gap between institutional public market infrastructure and the private equity world — delivering speed, precision, and intelligence at every stage of the trade lifecycle.
Automated Order & Trade Management
End-to-end order lifecycle management with institutional-grade execution controls and real-time status tracking.
AI-Driven Portfolio Analytics
Intelligent portfolio monitoring with risk-adjusted performance metrics, exposure analysis, and predictive insights.
Secondary & Private Market Connectivity
Seamless integration across secondary markets and private equity deal flows with structured data aggregation.
Clearing, Settlement & Compliance
Automated clearing and settlement workflows aligned with regulatory frameworks and well-architected governance standards.
Public-Market Speed
Low-latency execution pipelines adapted for private equity deal structures.
Regulatory Alignment
Built-in compliance controls for governance and reporting requirements.
Intelligent Automation
AI agents handling surveillance, risk flags, and portfolio rebalancing.
Enterprise Scale
Cloud-native, resilient architecture that scales with your deal volume.
An intelligent, distributed system that processes video data at the source — on the edge — extracts meaningful analytics, and transmits compact, structured insights to a central platform for real-time alerting and decision-making. AI inference runs directly on or near the camera hardware, producing compact, actionable data rather than raw footage — eliminating the bandwidth, latency, and privacy bottlenecks of cloud-streamed video. No raw video streaming. No cloud bottlenecks. Just intelligence, delivered instantly.
On-Device AI Inference
Computer vision models run directly on edge hardware — detecting, classifying, and tracking objects in real time without any cloud round-trip.
Structured Analytics Output
Events, counts, classifications, and metadata are packaged as lightweight structured data — not video — and streamed to the central platform.
Real-Time Alerting & Decision Engine
The central platform aggregates edge insights, triggers configurable alerts, and supports automated decision workflows for rapid response.
Privacy-First Architecture
Raw video is processed and discarded at the edge. Personally identifiable visual data never traverses the network, ensuring GDPR and privacy compliance by design.
Near-Zero Latency
Inference at the edge means near-instant responses — no cloud round-trip delay.
Minimal Bandwidth
Structured data payloads vs. raw video streams — dramatically lower infrastructure costs.
Privacy by Design
Raw footage stays on the edge. Compliance with GDPR and sector-specific regulations.
Massively Scalable
Distributed edge nodes scale independently — from a handful of cameras to thousands.
Principal Solution Architect
Extensive experience in capital markets — including trading, surveillance, market data, clearing and settlement, order/trade management, and portfolio management. Expertise spans DevOps, Cloud and Platform Engineering, SRE, performance optimisation (resiliency, latency, and capacity), and Data Engineering, with a focus on governance, security, and regulatory alignment.