Humain
Integrations
- NVIDIA AI Enterprise
- SDAIA ALLaM
- Siemens (Industrial IoT)
- center3 Infrastructure
- Honeywell (OT Systems)
Pricing Details
- Strategic enterprise agreements based on committed compute capacity and deployment scale.
- No public retail pricing is available.
Features
- Sovereign RAG Orchestration
- Industrial Edge AI Agents
- NVIDIA AI Factory Access
- Arabic-First Model Support (ALLaM)
- NDMO Data Residency Compliance
- SCADA/OT System Integration
Description
Humain Sovereign AI Architecture Assessment
Humain represents the software execution arm of Alat (PIF), mandated to deliver "Sovereign AI" solutions for the Kingdom's industrial and governmental sectors. Unlike general-purpose cloud providers, Humain's architecture is specialized for Industrial Edge AI and secure enterprise orchestration, bridging the gap between Alat's NVIDIA-based infrastructure and operational technology (OT) systems 📑.
Core Orchestration & Model Layer
The platform functions as a model-agnostic mediation layer, allowing organizations to run sovereign models on domestic infrastructure.
- Sovereign RAG Orchestration: Provides a secured Retrieval-Augmented Generation pipeline that connects Arabic-centric models (like SDAIA's ALLaM) to private enterprise data without external egress 📑.
- Industrial Agent Framework: specialized agentic workflows designed for predictive maintenance and vision-based quality control, integrated directly with factory OT systems 🧠.
- Arabic NLP Optimization: Native integration of regional Arabic dialects for government services, leveraging fine-tuned variants of Llama and ALLaM optimized for local cultural context 📑.
⠠⠉⠗⠑⠁⠞⠑⠙⠀⠃⠽⠀⠠⠁⠊⠞⠕⠉⠕⠗⠑⠲⠉⠕⠍
Infrastructure & Security Protocol
Humain leverages the massive capital deployment of Alat to ensure total data sovereignty.
- NVIDIA AI Factory Integration: Direct access to domestic H200/Blackwell compute clusters managed by Alat, bypassing public cloud latency and data residency issues 📑.
- Data Residency Enforcement: Hard-coded architectural constraints prevent inference telemetry from leaving Saudi borders, compliant with NDMO (National Data Management Office) regulations 📑.
- Edge-to-Cloud Sync: Hybrid architecture supporting disconnected edge inference (for oil & gas fields) with asynchronous synchronization to the central sovereign cloud 🧠.
Evaluation Guidance
Technical teams should prioritize the following validation steps:
- Sovereign Latency: Benchmark the round-trip latency from local Saudi ISPs to Humain's inference endpoints compared to Frankfurt/Bahrain-based hyperscalers 📑.
- OT/IT Integration: Verify the compatibility of Humain's edge agents with existing SCADA/PLC systems for industrial use cases 🌑.
- Dialect Performance: Test the "Arabic-First" capabilities on unstructure colloquial text (Hejazi/Najdi dialects) to validate improvement over generic GPT-4o 📑.
Release History
Unveiled ALLaM, an Arabic-first large language model developed in collaboration with the Saudi Data and AI Authority (SDAIA). ALLaM is designed to prioritize Arabic language and cultural context, addressing the dominance of English in current AI models. Saudi Arabia allocated over $40 billion for AI-related investments under Vision 2030, aiming to position the Kingdom as a global AI hub by 2030.
Fully deployed OpenAI’s new open-source models (gpt-oss-120B, gpt-oss-20B) and Groq’s ultra-high-speed inference platform within Humain’s sovereign AI data centers. Saudi developers, businesses, and public institutions now have access to advanced AI tools with high-speed, low-latency performance, fully compliant with local data privacy regulations.
Strategic joint venture with stc’s data-center subsidiary (center3) to develop large-scale AI data centers across Saudi Arabia, with a total capacity of 1 gigawatt. Aligns with Saudi Arabia’s Vision 2030 to localize advanced technologies, attract global AI investment, and build sovereign digital infrastructure. The partnership will host critical digital assets and foster a broader AI ecosystem in the region.
Launch of HUMAIN One, a new AI-based operating system designed as an alternative to traditional icon-based systems (Windows/macOS). Announced six new AI products, including advanced chat platforms, industry-specific AI tools, and sovereign cloud solutions. All products are built on Humain’s in-house tech stack and hosted in Saudi data centers, ensuring compliance with local data privacy laws.
Announced a strategic partnership with NVIDIA to build hyperscale AI data centers ('AI Factories of the Future') in Saudi Arabia, with a projected capacity of up to 500 megawatts over five years. Focus on training and deploying sovereign AI models at scale, leveraging NVIDIA’s advanced GPUs and AI infrastructure.
'Nasma' cloud platform reaches General Availability. Introduction of enterprise-level security features and compliance certifications. Integration with key Saudi government services.
Release of 'Sada' v1.1, adding initial multimodal capabilities (image and text understanding). Improved performance in Arabic dialect processing. Expanded API access.
Beta launch of 'Nasma', Humain's cloud platform designed for AI development and deployment. Includes access to 'Sada' v1.0 and pre-trained models for specific industries.
Public release of 'Sada' v1.0, Humain's first publicly available Arabic LLM. Focus on text generation and translation. Limited API access for research purposes.
Completion of the first phase of the Riyadh 1 data center. Significant investment in GPU clusters for LLM training. Internal testing of early Arabic LLM prototypes begins.
Humain officially established by PIF. Initial focus on data center infrastructure planning and talent acquisition. No publicly released AI models.
Tool Pros and Cons
Pros
- PIF-backed investment
- Scalable AI infrastructure
- Arabic LLM focus
- Vision 2030 aligned
- Regional AI growth
Cons
- Limited transparency
- Vision 2030 dependent
- Tech details scarce
