The ones where the solution has to be invented, not assembled. Original algorithms. Production systems built to run for decades. AI trained on real data and deployed in real environments. If the answer already exists on a shelf somewhere, you don't need us. If it doesn't — that's exactly the work we do.
We take on projects that require original engineering — not configuration, not integration, not templates. Here's where CrunchCube does its best work.
Image processing pipelines, vector graphics engines, photo compositing, template systems, and high-fidelity print engines. We write the algorithms from scratch — real math, original code — not wrappers around open-source libraries. This has been our core specialty for over two decades.
Custom model development trained on real-world data and deployed in production environments — not ChatGPT wrappers, not API calls to someone else's model. Computer vision, intelligent automation, and inference systems built from the ground up for the specific problem at hand.
Full-stack applications in C++, C#/.NET, JavaScript, and Python — from Windows desktop to web platforms to iOS and Android. We've built and maintained large-scale codebases, cross-platform frameworks, and web applications that serve thousands of concurrent users.
Transaction platforms that process millions in annual volume. PCI-compliant payment integrations, merchant services architecture, and the kind of payment system work that requires understanding both the code and the compliance.
SQL Server architecture, performance optimization, and data systems at scale. Cloud deployments on AWS and Google Cloud alongside colocation and hybrid environments — whatever the business requires.
Architecture reviews, technology strategy, and hands-on technical guidance for teams working through complex system challenges. Not just advice — we get into the code when that's what's needed.
Most consultancies configure tools. CrunchCube writes the tools. That distinction matters when the problem doesn't have a ready-made answer.
When a project needs image processing, computer vision, or a custom graphics engine, we don't search for a package. We write the math. Our compositing and image processing algorithms have been running in commercial products for over two decades. Our vector graphics and print engines powered products sold worldwide.
We've architected and maintained large-scale codebases and e-commerce platforms processing millions in annual transactions — and kept them running year after year. When we build something, it's built to last because we're usually the ones maintaining it too.
We build custom models — selecting architectures, training on real data, and deploying into production environments where they have to actually work. That includes edge deployment where there's no cloud to lean on. This isn't prompt engineering or plugging into someone else's model. It's ground-up AI development.
We've built and run technology businesses end-to-end — not just the code, but revenue, operations, vendor relationships, compliance, and everything in between. Software decisions here are informed by real business experience, not just architecture diagrams.