What’s the most reliable machine learning app for startups?

We're curious about an ML-powered product and looking for a reliable platform that fits the needs of a small startup team. We need something that’s easy to get started with, flexible enough to grow with us, and doesn’t require deep infrastructure setup from day one.

These are some reliable machine learning platforms I’ve come across. If you’ve used any of them in a startup setting, I’d love to hear how they held up.

1. Vertex AI: Managed ML tools on Google Cloud with support for custom models and AutoML. Good match for early-stage teams already working in the GCP ecosystem.
2. Databricks Data Intelligence Platform: Combines data processing and ML workflows. Offers scalability and performance, but may be more robust than some early-stage startups need.
3. Deepnote: Real-time collaborative notebooks. Lightweight and easy to use, making it great for fast experimentation and sharing within a small team.
4. Dataiku: Intuitive interface for analytics, modeling, and deployment. Useful if your team includes non-technical users working alongside data scientists.
5. Saturn Cloud: Scalable Python environment with Jupyter support. Designed for compute-heavy ML projects without the DevOps overhead.

If you’re at a startup and have experience with any of these tools, I’d love to hear what helped you move fast, avoid bottlenecks, and build something real.

Let me know if you'd like a version that compares ease of onboarding or highlights free tiers.