AI you can actually ship We don’t just consult — we build
We architect, build, and deliver practical AI solutions — from enterprise chatbots with data-privacy to predictive analytics and GPU-accelerated simulations in cloud-native platforms. Led by Umer Qureshi, Master of Management in Artificial Intelligence.
Experience with Leading Enterprises
Services
Operational AI systems, cloud infrastructure, and applied research — strategy to delivery.
Operational AI Systems
Internal tools, dashboards, workflow automation, and decision support systems for real business operations.
CapabilityInternal dashboards, workflow automation, decision support
Cloud & Data Engineering
Cloud architecture, APIs, data pipelines, and deployment foundations.
CapabilityAzure, AWS, GCP, data pipelines
Risk Modeling & Simulation
Simulation systems for stress testing, synthetic data, and decision modeling.
CapabilityAgent based modeling, synthetic data, GPU acceleration
AI Governance & Advisory
Governance frameworks, human-in-the-loop design, and audit-ready deployments. Planning built for regulatory scrutiny.
CapabilityGovernance frameworks, oversight design, delivery roadmaps
What We’re Building
Active client work and selected in-house systems.
Selected client systems and internal platforms across AI, data, operations, and growth.
BrokerOps
Mortgage document intake and submission platform using NLP and AI to process broker documentation, extract structured data, and automate lender submission.
Visit brokerops.ca →Featured Work
Selected delivery across financial services, media, and aerospace.
AI Cyber-Liquidity Risk Simulation
GPU-accelerated agent-based simulations modeling depositor behavior under cyber-attack scenarios.
Cloud Data Platform Migration
Consolidated 8+ media data sources into GCP, influencing ~$5.5M in infrastructure savings.
Aircraft Maintenance Data
Improved global fleet reliability data quality by ~50%, enhancing dispatch insights.
How Engagements Work
From first assessment to production support.
Assess
We review the business problem, data, systems, constraints, and expected value.
Plan
We define the architecture, delivery path, timeline, risks, and support model.
Build
We develop the system in working increments with regular check ins and demos.
Operate
We launch, monitor, maintain, and improve the system through ongoing support.
Let's Forge Your Solution
Skip the PowerPoint. We build production-ready AI that actually ships.