When AI must be portable and genuinely multi-cloud. Compare vendor-agnostic consulting against Google Cloud's Vertex AI and partner ecosystem.
| Aspect | Hyperion | Alternative |
|---|---|---|
| Core Positioning | Vendor-agnostic AI specialist, EU-native | Google Cloud Vertex AI platform and consulting ecosystem |
| Platform Independence | Deploy on GCP, AWS, Azure, or on-prem — no bias | Google Cloud partners incentivised to recommend Vertex AI and GCP |
| EU AI Act | Technical conformity assessments built into delivery | GCP compliance features; customer owns use-case conformity burden |
| Aspect | Hyperion | Alternative |
|---|---|---|
| Model Selection | Gemini, Claude, Mistral, open-source — right model for task | Strong Gemini / Vertex AI bias in partner ecosystem |
| Physical AI | Edge AI, computer vision, robotics as core offering | Google Cloud AI on Coral and Edge TPU; limited consulting support |
| AI Depth | Custom training, fine-tuning, RAG architecture | Vertex AI AutoML, Model Garden, and Gemini integration |
| Aspect | Hyperion | Alternative |
|---|---|---|
| Data Sovereignty | EU data residency by default; on-prem option | GCP EU regions available; cloud dependency remains |
| Ongoing Costs | Usage-based AI costs only; no consulting retainer required | GCP consumption + Gemini API + partner retainer stack up |
| Lock-in Risk | Open frameworks (LangChain, vLLM, etc.); portable stack | Vertex AI pipelines and Google tooling create GCP dependency |
Google Cloud AI is excellent for Gemini integration and research-grade models. Hyperion offers multi-cloud freedom, EU data sovereignty, and Physical AI — without GCP dependency.
Book a 30-minute call. I will give you an honest assessment of whether Hyperion is the right fit — and if not, I will tell you who is.