Egypt-Based Nanovate Raises $1M to Expand Arabic AI Platform
TLDR
- Cairo-based AI startup Nanovate has raised $1 million in a pre-seed round led by a group of angel investors
- The company builds Arabic-native AI tools, including chat and voice agents, automation systems, and a no-code dashboard for deploying Arabic AI models
- The new capital will also support team growth across multiple sectors as Nanovate scales its enterprise offering
Cairo-based AI startup Nanovate has raised $1 million in a pre-seed round led by a group of angel investors. Founded in early 2025 by Nancy Madbouly and Ahmed Gamal, the company builds Arabic-native AI tools, including chat and voice agents, automation systems, and a no-code dashboard for deploying Arabic AI models.
Nanovate has developed its own large language models and aims to make AI accessible across the Arabic-speaking world.
The startup, backed by MINT Incubator, EG Bank, and Raya FutureTECH Accelerator, plans to expand into Saudi Arabia and the UAE, deepen integrations with CRM and ERP systems, and invest in further AI research.
The new capital will also support team growth across multiple sectors as Nanovate scales its enterprise offering.
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Points clés à retenir
Nanovate’s funding marks a growing focus on Arabic-language AI infrastructure in the MENA region, where most generative models still rely on English datasets. By developing its own LLMs trained on diverse Arabic dialects, the startup is addressing a critical linguistic and cultural gap. Its no-code dashboard could help businesses deploy AI agents without technical expertise, creating new efficiencies for customer support, retail, banking, and government services. Expansion into Saudi Arabia and the UAE positions Nanovate within two of the region’s fastest-growing AI markets, where public- and private-sector demand for localized AI is accelerating. With early institutional support and a technical product base, Nanovate is building infrastructure that could underpin a broader Arabic AI ecosystem—enabling enterprises to automate operations and communicate naturally in the region’s dominant language.
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