Managed private AI infrastructure · India
Private AI for your company, on GPUs we provision and run.
We provision the GPUs, run leading open-source models comparable to frontier models, and build the workspace your employees use. You control who has access and what each team spends.
- We run the GPUs
- Open models such as GLM-5.3-Flash on GPU compute Qila runs and manages. Your requests never touch a consumer AI service.
- Nothing retained
- The model endpoint keeps neither prompts nor responses, and never trains on them.
- Access and spend, yours
- Named users, department budgets, hard caps in rupees. We optimise the cost on our side.
Four layers. Qila runs all of them.
Select a layer to see what Qila does and what is left for you.
Layer 04
Employee workspace
Qila does
- Build and brand the workspace
- Connect approved documents
- Onboard and train staff
You do
- Use it. No provider keys, no personal subscriptions
- Branded workspace
- Source citations
- Chat · documents · knowledge · code
Your staff already use AI. The question is whose servers it runs on.
The same question, asked two ways.
- 01Employee
- 02Company workspace
- 03Access and budget check
- 04Model on GPUs Qila runs
- Retention
- None at the model endpoint
- Access control
- By user and department
- Visibility
- Usage and cost, monthly, in rupees
- Who fixes it
- Qila
Same employee. Same question. One of these leaves the company in control.
Three lines on the invoice. No hidden fourth.
A fixed-fee pilot, a monthly management fee, and compute itemised at published model rates under a cap you set.
| 01 | Managed serviceMonthly fee, scoped to rollout | Scoped |
| 02 | GLM-5.3-Flash compute2,310 M tokens at published rates, no markup | ₹12,400 |
| 03 | Cap set by youUsage paused above this amount | ₹15,000 |
First deployment
Built for our own company first.
Qila was built for our own team at Gladstone Agencies, an insurance surveying firm that handles confidential insurer files every day. It runs on the same setup we offer clients: company access, GPUs we run, controlled usage and a compute bill that stays visible.
“We had already seen what AI could do inside Gladstone. The real challenge was giving our team access without losing control of company information, permissions or cost. Qila turned that into a managed system we could actually operate.”
Next step
Start with one workflow and one team.
- 0130-minute call
- 02Fixed 2–4 week pilot
- 03Measured cost per task
- 04Monthly review