Operational AI Systems
Internal tools, autonomous agents, workflow automation, dashboards, and decision support systems for real business operations.
Capability
- Agentic AI
- Autonomous workflows
- Internal dashboards
- Decision support
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.
Operational AI systems, agentic automation, cloud infrastructure, and applied research from strategy to delivery.
Internal tools, autonomous agents, workflow automation, dashboards, and decision support systems for real business operations.
Capability
Cloud architecture, APIs, data pipelines, and deployment foundations.
Capability
Model uncertainty, behavior, and system interactions before high consequence decisions. We use scenario analysis, agent based modeling, stress testing, and simulation to understand how complex systems may behave over time.
Capability
Governance frameworks, human-in-the-loop design, and audit-ready deployments. Planning built for regulatory scrutiny.
Capability
Active client systems and selected in house products across AI, data, operations, and growth.
Selected client identities are withheld where contractual confidentiality obligations apply.
Proactive enforcement, service response, inspection triage, case intelligence, and synthetic workload stress testing for a major city in the Greater Toronto Area.
Agentic contact centre systems, autonomous voice workflows, intelligent routing, self-service automation, operational analytics, and customer experience optimization for a major Canadian telecommunications provider.
Data security, cloud architecture, regulatory and ethical compliance, BI automation, and a privacy focused underwriting chatbot for a banking client in Toronto, acquired by CMLS and subject to National Housing Act requirements.
Shopify and POS systems, customer targeting, inventory and supply chain intelligence, scheduling, work orders, and operational workflows for an established dive retailer and training operator in Richmond Hill, Ontario.
Ad strategy, Google Ads optimization, conversion tracking, analytics, and applied reinforcement learning concepts to improve campaign decision making, reduce cost per click, and maximize qualified leads for a beauty spa and clinic in Markham, Ontario.
Service capability
Applied AI, simulation, and secure data systems for defence planning, logistics, readiness, and complex operational decision support.
Designed for high-consequence environments with human oversight, rigorous testing, traceability, security, and accountable decision authority.
Scenario modeling and simulation for planning, training, stress testing, and decision analysis.
Analytics for supply chains, equipment readiness, maintenance, sustainment, and operational resilience.
Data and analytical systems that support human decisions while preserving oversight and accountability.
Secure platforms, pipelines, synthetic data, and integration for complex and data-constrained environments.
SOC 2 Ready
Penetration Testing in Progress
Domestic Data Residency
Data remains within Canadian borders.
Government & Defence Procurement
Registered for NATO and CanadaBuys procurement opportunities. Open to teaming, subcontracting, partnerships, and joint ventures.
Selected delivery across financial services, media, and aerospace.
GPU-accelerated agent-based simulations modeling depositor behavior under cyber-attack scenarios.
Consolidated 8+ media data sources into GCP, influencing ~$5.5M in infrastructure savings.
Improved global fleet reliability data quality by ~50%, enhancing dispatch insights.
Applied AI research for financial risk and operational resilience.
Built a simulation model to study how cyber incidents could affect depositor behaviour, cash flow, and liquidity risk in financial institutions. Currently under review with the Journal of Computational Economics.
Read more →A boutique AI consulting & development studio.
We bridge business and engineering to deliver production-ready AI. Security-minded, compliance-aware, and pragmatic by design. Led by Umer Qureshi — MMAI, Queen's University.
More about Neural Forge →From first assessment to production support.
We review the business problem, data, systems, constraints, and expected value.
We define the architecture, delivery path, timeline, risks, and support model.
We develop the system in working increments with regular check-ins and demos.
We launch, monitor, maintain, and improve the system through ongoing support.
Free consultation. No commitment. Tell us what you're trying to solve and we'll see if we can help.