No coding experience required. We start with intuitive no-code platforms that let you build through visual interfaces, then progressively introduce low-code and full-code options as your confidence grows. If you can design experiments or understand technical systems, you can learn to build software.

You’ll have access to our community of deep tech builders, weekly office hours, and direct support from instructors who understand complex technical domains. We also provide detailed documentation, video walkthroughs, and troubleshooting guides specific to deep tech challenges like sensor integration and algorithm implementation.

Members have built machine learning models for genomic analysis, predictive algorithms for financial markets, neural networks for medical diagnostics, and recommendation engines for complex datasets. IoT dashboards for environmental monitoring, real-time telemetry systems for aerospace testing, hardware monitoring platforms for industrial equipment, and sensor networks for smart agriculture. Computer vision systems for manufacturing quality control, image recognition tools for satellite analysis, defect detection platforms for material inspection, and facial recognition for security applications. Blockchain applications for supply chain verification, decentralized platforms for clinical trials, smart contracts for automated compliance, and tokenization systems for asset management. Biotech analysis tools for laboratory workflows, protein folding simulations, drug interaction modeling platforms, and epidemiological tracking systems.

Bubble.io, but not for the reasons you’d expect. Most no-code tools sacrifice power for simplicity. Bubble doesn’t. Our plugins are written in JavaScript and Python, meaning you’re accessing genuine computational power, not watered-down approximations. When we port our ML models or computer vision algorithms to Bubble, there’s zero power loss. You’re running the same code a developer would write.

The advantage? Bubble handles all the infrastructure work that distracts from deep tech innovation: database setup, security layers, authentication systems, privacy compliance, API routing. These take developers months to configure properly. You get them instantly, letting you focus exclusively on the technical problems that actually matter: your algorithms, your data pipelines, your unique systems and your specific vision.

You’ll also learn how to leverage our suites of private plugins effectively. The Accelerator includes complete training on each tool, so you understand not just what they do, but when and how to deploy them for maximum impact in your specific project.

The frameworks we teach apply across all deep tech domains. Even if we don’t have a quantum computing or materials science case study, you’ll learn the principles for integrating specialized APIs, processing domain-specific data, building custom interfaces, and deploying complex systems. 

After you’ve completed all of the learning material, you’ll retain lifetime access to the platform. This includes continued access to the plugins, all future updates, and the learning community, so you can keep building, experimenting, and staying up to date over time.