
Private AI infrastructure for dedicated GPU compute and open-source model deployment.

Product memo
Mycelis delivers private AI infrastructure, abstracting hardware complexity for enterprises, SMEs, and developers. It allows deploying open-source models on dedicated GPUs or using managed keys with major providers, all via a unified OpenAI-compatible API. The platform emphasizes data sovereignty with on-premise and EU hosting options, smart routing for cost control, and features like RAG and fine-tuning.
For who
Enterprises, SMEs, and private developers
Solves what
Private AI infrastructure with compute, intelligence, and integration
- Private AI infrastructure
- Open-source models on GPUs
- OpenAI-compatible API gateway
In their own words
AI infrastructure.
That belongs to you —
Commercial cues
Model
usage based
Free tier
Yes
Trial
Available
Pricing Strategy
Mycelis uses contact-sales pricing through its Enterprise tier.
- • Hourly GPU billing down to the minute removes idle compute costs.
- • Managed LLM keys offer flexible access to various model providers.
- • Usage-based pricing follows actual activity.
Operator context
Operating setup
Founded
May 2026
HQ
Germany
Platform
API
Audience
Developers
Payments
Stripe
Tech stack
Market demand
Mycelis keyword demand
4 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Complex Stack
About Mycelis Expand
Mycelis offers private AI infrastructure, abstracting hardware complexity for enterprises, SMEs, and private developers. It allows deploying open-source models on dedicated GPUs or using managed keys with major providers, all via a unified OpenAI-compatible API.
The platform emphasizes data sovereignty with on-premise and EU hosting options, smart routing for cost control, and features like RAG and fine-tuning. This provides a flexible, compliant alternative to US cloud providers, serving organizations that prioritize data control and cost efficiency in their AI deployments.


