Pak-LLM is a sovereign large language model platform built specifically for Pakistan. It provides an AI assistant optimized for Urdu and regional scripts, with on-premise infrastructure to keep data within Pakistani borders.

How does Pak-LLM handle Urdu text?

Pak-LLM uses a custom tokenizer built for Nastaliq and Naskh scripts, reducing the character-segmentation overhead found in generic Western LLMs by up to 95% in internal benchmarks. This means faster responses and lower compute cost per Urdu query.

Is Pak-LLM data stored outside Pakistan?

No. Pak-LLM routes all queries and stored data through sovereign infrastructure nodes located in Pakistan. Enterprise deployments can additionally use dedicated on-premise nodes through the Karachi Micro-Node program.

What languages does Pak-LLM support?

Pak-LLM primarily supports Urdu and English. Support for additional regional scripts — including Sindhi, Pashto, Punjabi, Balochi, and Saraiki — is on the active development roadmap.

Who developed Pak-LLM?

Pak-LLM is developed by SBF Consultancy, a registered technology consultancy based in Karachi, Pakistan, under the principal consultancy of Saad Bin Farrukh.

Legal Policy

Refund Policy

Last updated: July 22, 2026

This Refund Policy outlines the terms, conditions, and procedures for requesting and receiving refunds for paid subscriptions, API credit top-ups, and compute services provided by SBF Consultancy under Project Pak-LLM ("we", "us", or "our"). We are committed to transparency, fair billing, and customer satisfaction across all sovereign AI workspace tiers.

1Subscription & Billing Tiers

Project Pak-LLM operates a tiered access model designed for individual developers, researchers, and enterprise organizations:

Free Community Tier: No payment details collected; free query usage is non-billable and non-refundable.
Paid Subscription Plans (Pro / Premium / Enterprise): Billed on a monthly or annual recurring billing cycle.
Pay-As-You-Go API & Token Top-Ups: One-time credit packages purchased for high-throughput LLM query execution, Pak-Image generation, or Pak-Video rendering.

2Refund Eligibility & 7-Day Guarantee

We stand behind the performance of sovereign Urdu and regional AI models. Our refund parameters are as follows:

7-Day Money-Back Guarantee

First-time subscribers to Pak-LLM Pro plans are eligible for a 100% full refund within 7 calendar days of the initial purchase date, provided total query usage has not exceeded 1,000 LLM generation calls or 10 Pak-Image / Pak-Video requests.

Non-Refundable Items & Services:

Consumed Token Credits: API or compute top-up packages that have already been utilized for model inference.
On-Premise Server Deployments: Dedicated hardware configuration, custom domain binding, model fine-tuning, or architectural setup fees once implementation has started.
Subsequent Renewal Charges: Recurring billing renewals occurring after the initial 7-day guarantee window.

3Service Disruptions & SLA Credits

If Pak-LLM infrastructure encounters verified unscheduled downtime falling below our 99.5% Service Level Agreement (SLA) target during any billing month, active paid subscribers are eligible for prorated account credits or partial refunds proportional to the outage duration.

4Refund Processing & Gateways

Approved refunds will be processed back to the original payment instrument used during checkout:

Supported Gateways: Automated card/wallet settlements via the Swich PWA Payment Gateway.
Processing Window: Refunds are processed by our administrative panel in real-time. The funds typically post to your issuing account within 5 to 10 business days.
Outbound Alerts: Email status notifications will be automatically dispatched to your registered customer email address when the refund begins processing and upon final approval.
Currency & Bank Charges: Refunds are issued in PKR or USD. Intermediary banking fees or foreign currency exchange differentials are governed by the issuing financial institution.

5Submitting a Refund Request

To initiate a refund request, please contact our finance and billing department with your account ID and invoice/transaction reference:

Email: info@sbf-consultancy.net / support@pak-llm.org

Phone: +92-345-3204802

Address: SBF Consultancy, B-48, Double Road, Phase 2, Gulshan-e-Hadeed, Malir, Karachi, Pakistan