An AI-native product studio building AI systems, full-stack applications, and mobile products. 50+ shipped projects across North America, Europe, and Asia.
LLM applications, ML pipelines, agentic workflows.
163 tools orchestrated · 0.805 eval scoreAI readiness, technology roadmapping, assessments.
Web apps, iOS, Android, cross-platform mobile.
Data engineering, data science, BI platforms.
Cloud migration, cloud-native, CI/CD pipelines.
Product discovery, design thinking, rapid prototyping.
Testing strategy, automation, regression testing.
Legacy migration, architecture evolution, re-platforming.
We don't add AI as an afterthought — we design for it from sprint one. Whether it's an LLM reasoning layer, a real-time ML pipeline, or an agentic workflow, AI is the architecture, not the feature.
LangGraph · Claude · GPT-4 · Gemini · LlamaIndex · Pinecone



We build iOS, Android, and cross-platform mobile applications that don't compromise. From consumer apps to data-rich dashboards — production-quality mobile that performs in the real world.
Python-based counterparty credit risk platform covering 90+ financial products, SA-CCR / Basel III/IV compliant.
Unified financial data platform consolidating market data, research feeds, and alternative data into one API-first intelligence layer.
Deep learning framework for medical imaging — CT, MRI, and pathology with pre-trained model bundles for clinical deployment.
A 50-minute conversation. We pressure-test the problem before anyone talks solutions — no sales deck.
We map the system, choose the AI approach, and define exactly what “done” looks like before writing code.
Working prototypes in weeks. Design thinking and rapid iteration — not slideware that never ships.
Production engineering from sprint one. AI is the architecture, not a bolt-on. We ship to real users.
We stay past launch — monitor, optimize, and evolve the system as your product and data grow.
DeepLearnHQ is an AI-native product studio based in Toronto, ON and Madison, WI. We build AI systems, web applications, mobile products, and data platforms for clients across financial services, healthcare, e-commerce, and more. Our work spans from production LLM applications to enterprise ERP implementations.
Our team is led by practitioners — not project managers. Saad Ahmed, our founder, spent a decade in data science and AI at Deloitte, PwC, BMO, and Microsoft before building this studio. We hire people who have shipped real products, not slides about them.
7 courses covering prompt engineering, AI agents, data science, Python, and generative AI.
Browse CoursesCustom AI training programs for teams and organizations. From board-level workshops to hands-on engineering bootcamps.
Learn MoreAvailable worldwide. Built for practitioners and teams globally.
DeepLearnHQ understood the complexity of our risk systems from day one. Their solution handles everything from regulatory compliance to real-time analytics, and it scales beautifully across our operations.
The team challenged our assumptions and delivered a product that exceeded our vision. Having engineers who actually understand both the technical and business sides is rare.
Working with DeepLearnHQ felt like having a co-founder who happened to be an entire engineering team. From architecture to deployment, they were consistent and excellent.
50-minute discovery call. No sales deck. Just an honest conversation about your problem and whether we're the right team to solve it.
Toronto, ON · Madison, WI · info@deeplearnhq.tech