🧠
Pars AI — Persian LLM Assistant
Native 70B-parameter Persian language model for content generation, data analysis and intelligent Q&A. Understands Persian syntax and Iranian market idioms with no translation layer.
Try Pars AI →
TehranHQ · 12,000 servers
Shanghai2,400 GPUs · AI training
MoscowCIS hub · failover
FrankfurtGDPR vault
ParisResearch lab
VirginiaWest edge
The ParsTech Ecosystem: Iran's Largest Persian AI & Cloud Platform
Modern businesses, schools and organizations in Iran and the Persian-speaking world need a technology partner that understands more than code — it must understand the Persian language, local regulations, tax law and operational reality of the market. ParsTech was built precisely to close that gap: nine integrated services under one account, powered by a native Persian language model rather than a translated foreign one.
Why native Persian AI matters
Global language models such as ChatGPT, Claude and Gemini are remarkably powerful, yet they process Persian through translation layers. Idioms, commercial jargon, legal and medical terminology, and the formal/informal registers of Farsi are routinely misinterpreted. Pars AI was trained natively on 4.2 trillion Persian tokens — news, scientific papers, commercial documents, legal texts and everyday conversation — so it understands context the way a native speaker does.
Inside ParsGPT-2
ParsGPT-2 is a 70-billion-parameter transformer trained on a 38-PFLOPS GPU cluster across the Shanghai and Tehran data centers. Its architecture combines mixture-of-experts routing with a Persian-optimized tokenizer, cutting inference cost by 41% versus dense models of equal quality. The result: 8ms response latency inside Iran and state-of-the-art scores on the Persian AI Benchmark 2026.
One account, nine services
Fragmented tools create data islands. The ParsTech suite is coherent by design: cloud accounting with Modian-compliant QR invoicing, school management with AI academic analysis, smart building management, agile project boards, digital health, a 24/7 support chatbot and a Persian NLP REST API — all sharing one authentication layer and one data model.
Global infrastructure built for resilience
Six data centers on three continents — Tehran, Shanghai, Moscow, Frankfurt, Paris and Virginia — are linked by an 800 Gbps private fiber ring. The architecture is proven: when external pressure threatened service continuity, 100% of Iranian workloads migrated to the Shanghai–Moscow axis in under 72 hours with zero seconds of downtime.
Security & compliance
Data is protected with AES-256 at rest and TLS 1.3 in transit. Daily geo-redundant backups, least-privilege access control and independent audits back our ISO 27001, SOC 2 Type II and GDPR compliance. User data is never used to train models without explicit consent.
Who builds on ParsTech
- Small and medium businesses digitizing operations with integrated SaaS
- Schools and academies automating grading, attendance and report cards
- Building managers tracking charges, bills and outage notifications
- Startups running agile projects on Kanban boards with sprint analytics
- Developers embedding Persian NLP into apps via the Pars Log API
The road ahead
ParsTech is a living ecosystem. Active research continues on multimodal Persian models, on-device inference for low-bandwidth regions, and deeper integrations across all nine services — with one goal: a single platform that answers every digital need of Persian-speaking businesses, schools and teams.