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Compare · Sovereign Super Intelligence (SI)

Own your AI or use a cloud AI API: a fair comparison

This page compares owning your AI on your own GPU server with calling a typical cloud AI API. It covers where models run, where your data goes, how you pay, which models you can use and who approves actions. Neither suits everyone: a cloud API is quick to start, while owning gives you control and a fixed cost.

Download the GPU sizing sheet

We'll walk you through it on sample data.

Own it: site licence, one-time (₹35 L platform-only), ex-GST
₹50–90 L
Managed service a year; hardware at cost, ex-GST
₹16–18 L
Paid pilot on your own documents, credited against the licence
4–6 weeks
Subscribe: per 1M input / output tokens; not yet on sale
₹8 / ₹28
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30 minutes with an engineer. We map your workload and walk you through the product on sample data. You leave with a written next step.
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The table

Own AI vs a cloud AI API, by category

Typical cloud AI APIOwn it: BiltIQ AI Factory + Agent OSSubscribe: BiltIQ (not yet on sale)
ModelVendor's modelOpen-weight models, your pick (Nemotron default for defence)Open-weight models on BiltIQ's cluster
Where it runsVendor's serversYour GPU serverBiltIQ's GPU cluster in India
Your prompts and filesGo to the vendorStay on your server; with Agent OS, outbound calls are blocked by defaultInference runs on our GPU cluster in India; subscription not yet on sale
How you payMetered, per useOne-time licence + yearly managed service; hardware at costSaaS + API tokens (₹8 per 1M input / ₹28 per 1M output)
Up-front costLowHigh: licence and hardwareLow
Time to startUsually soon after sign-upPaid pilot of 4–6 weeks, then installFrom 2027
Page citationsVariesYesYes
Approval before actionsVariesIrreversible and high-consequence actions pause for human approval (Agent OS)Same
Who runs itThe vendorBiltIQ, as a managed service on your serverBiltIQ
Hosted frontier modelsYes, the vendor's ownNo; open-weight models onlyNo; open-weight models only

Comparison by category, typical cases. Check any vendor's current terms. Source: BiltIQ comparison, Oct 2026.

When cloud fits

When a cloud AI API is the better choice

  • Your volume is low, or you are still experimenting.
  • You need a specific hosted frontier model.
  • Your data carries no restriction on leaving your building.
  • You have no budget for hardware or a licence this year.
When owning fits

When owning your SI is the better choice

  • Your documents may not leave your building, or a buyer asks each model's origin.
  • Usage is steady and high, so metered bills keep growing.
  • Consequential actions must wait for a named approver.
  • You want a fixed yearly cost you can budget.
Cost over time

How the cost compares over time

A cloud AI API is metered, so cost rises with every user and query. Owning your SI costs a one-time site licence of ₹50–90 L (₹35 L platform-only) plus ₹16–18 L a year, with hardware at cost, so the cost per query falls as use grows. Where the lines cross depends on your volume and model choice; we work it out with you on a scoping call. All prices ex-GST.

Middle path

A middle path: subscribe to our SI cluster in India

Not ready to buy a server? The Subscribe tier will serve open-weight models from BiltIQ's GPU cluster in India, at ₹8 per 1M input and ₹28 per 1M output tokens. Subscription: not yet on sale. Join the 2027 waitlist.

Key facts

Key facts: Compare: own vs cloud AI API

  • Own it: site licence ₹50–90 L one-time (₹35 L platform-only) + managed service ₹16–18 L a year; hardware at cost. Ex-GST.BiltIQ price list, Oct 2026
  • Subscribe: API tokens at ₹8 per 1M input / ₹28 per 1M output; not yet on sale.BiltIQ price list, Oct 2026
  • Model-agnostic: open-weight models chosen per buyer. NVIDIA Nemotron by default for defence and PSU; Qwen3.8-27B for reasoning where allowed.BiltIQ code review, Oct 2026
  • In Agent OS, outbound calls are blocked by default; irreversible and high-consequence actions pause for human approval.BiltIQ code review, Oct 2026
  • A typical cloud AI API runs the vendor's model on the vendor's servers and is metered per use.BiltIQ comparison, Oct 2026
FAQ

FAQ

Is it cheaper to own AI than to use a cloud AI API?

It depends on your volume. A cloud AI API is metered, so cost grows with use. Owning your SI costs a one-time licence of ₹50–90 L plus ₹16–18 L a year, with hardware at cost, so the cost per query falls as use grows. We work out your case on a scoping call.

Is a cloud AI API less secure than owning AI?

Not by default; it depends on the vendor's terms and your rules. The real difference is where your data goes. With a cloud AI API, prompts and documents travel to the vendor's servers. When you own your SI, they stay on your server, and with Agent OS outbound calls are blocked by default. Choose by what your data rules allow.

Can open-weight AI models match a cloud AI API?

For many document tasks, open-weight models do the job well, but hosted frontier models may do better on some tasks. The fair test is your own files. In a 4–6 week paid pilot, BiltIQ runs open-weight models on your past documents and reports caught, missed and time per file against your manual results, before you buy anything.

Can we use owned AI and a cloud AI API together?

Yes, where your rules allow it. Agent OS blocks outbound calls by default. In on-prem-required mode, no outbound host can be allowed at all. In other modes, an admin can allow listed hosts, such as a specific cloud AI API, and BiltIQ shows you the list. Sensitive work stays on your server either way.

How long does it take to own your AI?

Start with a scoping call, then a paid pilot of 4–6 weeks on your own documents, credited against the licence. If you go ahead, BiltIQ commissions your SI server on site; hardware lead time varies with the market. A cloud AI API is faster to start, which is one of its real advantages.

Test owned SI on your own files before you decide

Download the GPU sizing sheet

We'll walk you through it on sample data. Or write to [email protected], or call or WhatsApp +91 89868 60088 (messages go straight to our CRM).