GPU compute for AI start-upsGPU compute for equity.

Many of Europe's emerging AI companies cannot fund all the compute they need. Through its compute-for-equity programme, Sapience provides GPU capacity in exchange for an equity stake, after due diligence, and opens its network of investors, banks, law firms and auditors to the companies it backs.

The flywheel
1GPU compute on Sapience infrastructure
2Equity stake in the company
3Capital-markets access through our network
4Value for the start-up, its shareholders and ours
How it works

From application to compute in four steps.

The programme runs on capacity beyond our signed customer contracts and follows them in priority. It is an investment, not a discount: we take a stake because we expect the company to grow.

  1. 01 · Apply

    Tell us about the company

    The team, the models you train or serve, and the compute you need over the next twelve months.

  2. 02 · Due diligence

    We look at team, technology and plan

    The same review an investor would run, because that is what we become.

  3. 03 · Compute for equity

    Capacity against a stake

    Dedicated NVIDIA Blackwell capacity on Sapience infrastructure in the EU, in exchange for equity agreed case by case.

  4. 04 · Ecosystem

    Introductions that move a company forward

    Angels, VCs, investment banks, law firms and auditors from our network, introduced to the companies we back.

Who it is for

Europe's emerging AI companies.

Start-ups and scale-ups in Central and Eastern Europe and across the EU that train or serve their own models and need more compute than they can fund today. Europe's public programmes are too slow for a fast-moving sector; this one is built to move at the pace of the companies in it.

Model builders

Teams training or fine-tuning their own models who are compute-constrained before they are capital-constrained.

Inference-heavy products

Products whose unit economics depend on dedicated European GPUs rather than metered hyperscaler APIs.

Regulated builders

Companies whose customers require EU data residency from day one.

Pre-Series A

Companies that need compute and introductions before their next equity round.

Enterprise Hub
In development

A European home for models.

A neutral repository and distribution layer for open-source and proprietary machine learning: upload, discover, share and run models, datasets and applications, with EU residency. A long-term platform investment that sits on top of the infrastructure backbone.

Model-as-a-Service
Managed inference endpoints, SLA-backed.
Token APIs
Pay-per-token open-source LLMs, billed in euros.
Agentic APIs
Autonomous agents with tool use, ready to embed.
Storage
Datasets and checkpoints with EU residency, low-latency links to the clusters.
Enterprise
SSO, audit logs and private clusters. Subscriptions, connectors and priority support.

Building in Europe and short of compute?

Send us a short note on the company, the models and the capacity you need. We reply with next steps.

Apply to the programme See pricing