Private AI for banks, insurers and asset managers.
Financial institutions handle client data, trading information and confidential reports under strict oversight. Using a hosted AI service adds a third party to every prompt. Loadcore runs open models on your own GPU servers, with access per team and a full picture of what runs where.
Why financial firms hold back on hosted AI
Client data, deal information and unpublished results cannot be shared freely with outside parties. Every new AI provider means vendor due diligence, contract review and ongoing oversight. Meanwhile, employees want the same tools they use at home.
Run the models yourself
With Loadcore, models run on GPU servers you operate, in your data center or in your own cloud account:
- No prompt traffic to outside providers. Inference goes straight from your tools to your servers.
- Fixed model versions. You decide which model runs and when it changes, so validated setups stay validated.
- Access per team. Grant the large reasoning model to research and the general assistant to everyone.
- Traceable usage. Every request carries a personal key tied to one employee.
Use cases
| Team | Use |
|---|---|
| Research | Summaries of reports and filings, first drafts of notes |
| Compliance | Reviewing policies, extracting obligations from regulation |
| Operations | Classifying and routing documents and email |
| Customer service | Drafting answers from internal knowledge |
| Engineering | Private coding assistant with Qwen3 Coder Next |
Related
Compare costs with the LLM cost calculator, or read how on-premise LLM hosting works.
Frequently asked questions
Does self-hosting reduce third-party risk?
It removes the AI provider from the data path. Prompts and completions are processed on your servers. Loadcore's control plane is still a service provider for fleet management, but it never receives prompts, completions or model weights.
Can we pin a model version?
Yes. You choose exactly which model file runs on which server, and it only changes when you change it. That makes it easier to validate a model once and keep it stable.
Which teams typically start?
Teams with a lot of document work and sensitive data, such as research, compliance, operations and customer service, and developers who want a private coding assistant.
Let lawyers summarize, draft and review with AI without sending privileged client documents to a hosted model provider. Open LLMs on your own servers, access per practice group.
Use LLMs for clinical documentation, summaries and internal knowledge without sending patient data to an external AI provider. Open models on your own GPU servers.
Give public servants generative AI on infrastructure the organization controls. Open models with open licenses, run in your own data center or a sovereign cloud of your choice.
Run your first model today.
Register a GPU server, pull an open model and hand your team an API key.