Enterprise
Sovereign AI infrastructure for regulated industries and high-volume organisations.
Your data never leaves Pakistan.
The problem with foreign AI APIs
Every enterprise calling a foreign LLM API faces three compounding risks that grow with adoption.
Data leaves Pakistan
Every API call exports sensitive business data to US or EU servers. No local jurisdiction. No SBP-aligned residency. No audit trail a Pakistani regulator accepts.
USD billing exposure
Foreign-currency costs fluctuate with exchange rates. Budgets become unpredictable. Finance teams cannot commit to an annual AI spend when the rupee is the variable.
Single point of failure
One policy change, one export control, one outage abroad cuts access overnight. Your AI workloads stop when someone else decides they should.
What Paranine delivers
A full-stack AI factory running frontier open-source models through an OpenAI-compatible API.
One endpoint, one bill, one jurisdiction.
100% in-Pakistan data processing
All inference runs on sovereign infrastructure inside Pakistan. Prompts, completions, and logs never leave the country.
PKR billing with local invoicing
No USD exposure. Predictable costs settled in rupees on local payment rails, including JazzCash. Standard Pakistani invoicing for procurement.
Dual-chip orchestration
Unified serving layer across Huawei Ascend NPUs and Nvidia GPUs. No single-vendor risk on the hardware your AI depends on.
OpenAI-compatible API
Drop-in replacement. Migrate with a URL swap and zero code changes. Existing SDKs, agents, and tooling work unchanged.
Open-source models
LLaMA, Kimi, GLM, Qwen, DeepSeek. No proprietary lock-in. Swap models freely as the open-weight frontier advances.
99.9% uptime SLA
The people who built the Ascend serving stack are the people on call for it.
Governance and cost attribution
Paranine is not a model endpoint. It is a sovereign gateway with per-key governance, cost attribution, and compliance built into the request path.
Per-key governance
Every request is inspected. Anomalies are alerted on the key that raised them. Your compliance team sees what every API key is doing, in real time.
Cost attribution per agent and per feature
Track spend down to the individual agent, product feature, or business unit that caused it. Set it against the return. FinOps ships with the rail.
Hard credit limits
Per-key spend caps enforced by the gateway. One runaway agent cannot consume the organisation's balance.
Audit log
Append-only, exportable. Every administrative change recorded with timestamp, actor, and scope.
Model access control
Scope API keys to approved models only. Unapproved calls are rejected at the gateway.
Engagement models
Two ways to run on Paranine.
Gateway platform
For organisations that need managed access, governance, and PKR billing across teams, without dedicated hardware.
- Access to every model in the P/9 catalogue through one unified API.
- Per-key scoping, spend caps, expiry, and audit logging.
- Cost and performance monitoring per key, per model.
- Chat support within 48 hours on working days.
- Unlimited seats.
Dedicated inference
For regulated workloads that require single-tenant isolation on sovereign hardware.
- Single-tenant model endpoints the customer owns and controls. Non-shared compute: your models run on hardware no one else touches.
- Deploy your own model with tools, set your compute instance and environment, configure and manage models in production.
- Billed at Rs 600 / $2.40 per hour per NPU. Eight NPUs in a dedicated block.
- Dedicated support, SLA, and a named technical integration team assigned to enterprise accounts.
- Custom billing and invoicing structures available for annual commitments.
What your teams can build
The workloads teams bring to Paranine.
In production with JS Bank / Zindigi and Askari Bank.
Customer-facing chatbots
Conversational AI for support, onboarding, and service across web, mobile, and WhatsApp.
Document automation
Extract, summarise, and process contracts, KYC forms, compliance docs, and financial reports.
Code generation
AI-assisted code writing, review, and debugging for engineering teams.
Product AI integration
Add AI to existing products via API. Build intelligent features without building infrastructure.
Lighthouse deployment
Askari Bank
Askari Bank is Paranine’s first enterprise design partner: an active client with a paying commitment and a live date, not a pipeline slide.
- LOI signed for access to model endpoints (Kimi K2.6, GLM and gpt-oss-120b) through the Paranine model gateway.
- $5,000/month existing LLM budget flowing through Model APIs, growing as AI workloads scale.
- $3,000/month minimum committed consumption on dedicated model endpoints sovereign to Askari Bank.
- Bank-owned control: dedicated inference means non-shared endpoints. Askari owns and controls its inference and compute instance.
The wedge: Askari currently pays $4,000/month for Claude Code. The same volume of tokens on Kimi K2.6, running on Paranine, costs $1,800: a 55% cost reduction on self-controlled, self-owned open-source coding agents.
Forward Deployed Engineering
Embedded technical specialists who work alongside your engineering team.
For organisations that need hands-on integration support beyond standard onboarding, Paranine offers Forward Deployed Engineers (FDEs), who scope, integrate, and ship AI workloads on sovereign infrastructure. Request an FDE engagement: paranine.com/engineers.
Scoping and architecture
Define which workloads move to sovereign inference, in what order, and on which models.
Integration
Connect your existing stack to the P/9 API, configure keys and governance, migrate from foreign endpoints.
Optimisation
Tune model selection, routing, and cost attribution to your usage pattern.
Handoff
Train your team to operate independently. Exit when the workload runs without us.
Get started
Schedule a technical walkthrough with the enterprise team.
Custom pricing quoted per organisation. Contact info@paranine.com or paranine.com/dedicated.