Saudi enterprise AI company Gaia has raised $1.5 million in a pre-seed round led by SEEDRA Ventures, supporting its development of sovereign artificial intelligence for organizations across the Kingdom. Founded by Badr Al-Malluh, co-founder and CEO, and Mohammad Rababah, co-founder and CPTO, Gaia is building a platform that connects enterprise knowledge, systems, files, emails, and workflows within a secure intelligence layer. The financing comes as Saudi organizations accelerate digital transformation and explore generative AI while seeking greater control over sensitive corporate data.
Building a Sovereign Enterprise AI Platform
Gaia’s platform is designed so organizational data remains within the enterprise environment, addressing security and governance concerns that can slow AI adoption in large companies. The system connects information stored across email, file repositories, CRM software, ERP systems, and other internal tools, creating a common layer for accessing institutional knowledge. Access remains permission-aware, meaning employees can retrieve only information they are authorized to view, while AI-generated answers are grounded in company data and linked to original sources.
Search, Assistance, and AI Agents
The company combines enterprise search, a generative AI assistant, and purpose-built AI agents to help employees find information and execute work across connected systems. Its search capability provides answers with citations to relevant files, records, or conversations, while the AI assistant responds to business questions using internal knowledge and references to underlying sources. Gaia’s agents are designed to go beyond retrieval by completing tasks across applications, automating recurring activities such as summaries and reports, and supporting multi-step workflows.
Human Oversight for Sensitive Actions
Gaia also incorporates human approval into higher-risk automated actions, reflecting enterprise demand for controlled deployment of AI agents in operational environments. Important steps can be routed to employees for review before execution, allowing organizations to introduce automation without removing human oversight from decisions involving security, compliance, or business operations. This approach positions Gaia as an enterprise-focused platform built around access control, organizational context, and data governance.
Addressing Fragmented Enterprise Knowledge
The startup is targeting a common problem for large organizations, where information is fragmented across departments, software systems, documents, emails, and individual teams. Gaia says this fragmentation can slow decision-making, duplicate work, increase time spent gathering context, and make institutional knowledge harder to retain when employees leave or roles change. By combining search, generative AI, and workflow automation, the company aims to make internal information more accessible and actionable for employees and management teams.
Saudi Digital Transformation Opportunity
The funding gives Gaia additional resources to continue developing its platform and work with enterprises applying AI to operational challenges in Saudi Arabia. The company is positioning its technology alongside the Kingdom’s Vision 2030 digital transformation agenda, as organizations across sectors modernize infrastructure, improve productivity, and expand their use of advanced technologies. Gaia sees an opportunity to provide locally aligned AI infrastructure that emphasizes security, permission controls, and keeping sensitive data within organizational boundaries.
With $1.5 million in pre-seed financing led by SEEDRA Ventures, Gaia is entering the next stage of its effort to build a sovereign AI platform tailored to Saudi enterprise requirements. Its strategy centers on connecting fragmented corporate knowledge, delivering cited AI-generated answers, and allowing software agents to complete business tasks while preserving human oversight over critical actions. As enterprise AI adoption expands across the Kingdom, Gaia will seek to show that its combination of data control, operational intelligence, and workflow automation can produce measurable productivity and decision-making gains.