Metered usage
Pay for measured input and output tokens at separately agreed rates. Suitable for variable demand and initial production workloads.
DUBAI · TECHNOLOGY · INTERNATIONAL TRADE
Compute into language.
Tokens into value.
AI Token Production is one of our three core businesses: turning model inference into usable output for applications and enterprise workflows.
01 / WHAT WE MEAN
AI tokens, explained simply.
A token is a unit of text
processed by an AI model.
Your application sends a prompt. A model processes input tokens and generates output tokens. The service makes that computation available to your business through an agreed access and billing model.
Here, “token production” means AI inference output. It does not mean a cryptocurrency or a transferable financial asset.
02 / SERVICE FLOW
From a request to a useful response.
- 01 / Application
Send a prompt or business task.
- 02 / Inference
Compute runs the agreed model.
- 03 / Output
Receive generated text or structured results.
- 04 / Usage
Measure tokens, quality and response time.
03 / COMMERCIAL MODEL
Three ways to structure an engagement.
Committed volume
Agree a monthly usage commitment, model scope and overage rate. Suitable when demand becomes predictable.
Dedicated capacity
Reserve agreed inference capacity for a defined period. Price capacity and support separately; confirm throughput in workload testing.
Engagement models are presented for discussion. Supported models, API access, hosting location, service levels, pricing and capacity are confirmed in a written proposal.
04 / UNIT ECONOMICS
Understand what drives the bill.
Usage charge =
(input tokens ÷ 1M × input rate)
+ (output tokens ÷ 1M × output rate)
(input tokens ÷ 1M × input rate)
+ (output tokens ÷ 1M × output rate)
Illustration only: 10 million input tokens at $1 per million and 2 million output tokens at $3 per million produce a $16 usage charge. These are example rates, not a DESCOVERY quotation. Capacity, support and applicable taxes may be separate.
Cost depends on the model, prompt length, output length, caching rules and the agreed service structure. Validate estimates using representative workloads.
05 / FROM PILOT TO PRODUCTION
Start with a measurable use case.
Choose the task
Customer support drafts, product descriptions, document summaries or internal knowledge assistance.
Test the workload
Evaluate Arabic and English quality where needed, accuracy, response time and cost on representative examples.
Agree operations
Confirm data handling, retention, model licensing, access control, support and acceptance criteria before production.
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