Use case
Custom AI on your own servers: assess, build, host and run
The problem
What gets in the way
- AI pilots stall because strategy, infrastructure, engineering and operations sit with different vendors.
- Sending company data to an outside AI service is not allowed for many teams.
- Nobody owns the model after go-live, so quality drifts.
Step by step
How to do it
- 1
Assess
We map use cases, check your data and infrastructure, and build the business case.
- 2
Install
We size the GPUs, install open-source models on your servers and put a model gateway and monitoring in front.
- 3
Build
We build agents and RAG on your systems — ERP, CRM, ITSM, CMS — with human approval where it matters.
- 4
Run
We support, evaluate, tune and upgrade the models, with a monthly view of usage and cost.
Be sure
When Surge Software is not the right tool
If you only need a single off-the-shelf tool, one of our products (free for 3 months) is faster and cheaper than a project. We are a small team, so very large multi-country programmes are not our fit.
FAQ
Questions
Can the models run without internet access?
Yes, open-source models can run fully on your own servers.
Can I try something first?
Yes. Each of the 15 accelerators has a live demo on sample data.
How do we start?
Book a working session from the contact page.
Related
- Customer support for a small business: an AI agent that knows your site
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- Every comparison
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Last updated 1 November 2026 · by Venu Gopal Reddy Muvva, founder