Xpander has raised $7.5 million in seed funding to accelerate adoption of its vendor-neutral enterprise AI platform, while introducing Omni, an AI agent that achieved a 90.9% score on the GAIA benchmark. Pico Venture Partners led the financing, with participation from Emerge Ventures, Samsung Next and SeedIL.
The company plans to use the new capital to expand market penetration for its platform, which is designed to help enterprises build, deploy and manage AI agents across existing infrastructure without forcing organizations to abandon their current cloud environments, technology stacks or governance requirements.
Xpander was founded by former AWS principal engineers David Twizer, Ran Sheinberg and Moriel Pahima.
Their experience helping large enterprises migrate to cloud infrastructure shaped the company’s approach to AI adoption.
Xpander believes many companies face a similar transition today as they attempt to move from experimenting with artificial intelligence to embedding AI directly throughout their operations.
While AI adoption has become widespread, Xpander argues that enterprise deployment remains limited by infrastructure complexity, security requirements, compliance obligations and fragmented tooling.
The company cited industry data indicating that 88% of organizations now use AI in at least one business function, while only around 1% characterize their AI deployments as mature and roughly two-thirds remain in pilot stages.
Xpander is targeting that gap with an all-in-one AI enablement platform that provides a common foundation for deploying agents across an organization.
The platform is model-, framework-, and cloud-agnostic, allowing companies to work across different AI technologies rather than becoming tied to a single model provider or infrastructure environment.
At the center of the platform is Xpander’s universal agent harness.
The technology provides a runtime that can execute AI agents as portable workloads inside a customer’s environment while dynamically rendering the interfaces those agents require.
This architecture is intended to give enterprises flexibility over where agents operate while maintaining centralized visibility, security controls and lifecycle management.
Organizations can use Xpander to build and deploy customized agentic applications across internal products, workflows and data environments.
The same infrastructure also provides governance capabilities intended to help businesses manage AI deployments as the number of agents and use cases expands.
Rather than limiting enterprises to preconfigured AI products, Xpander is positioning its platform as infrastructure for companies that want to create their own AI-native operating models.
Its newly introduced Omni product represents one way customers can use that infrastructure.
Xpander describes Omni as an agentic Forward Deployed Engineer that can help enterprises create and deploy AI systems across their organizations.
The company said Omni can support use cases ranging from providing an AI teammate to every employee to allowing individual teams to build their own agents or embedding AI directly into operational processes.
Omni is designed to convert complicated user requests into autonomous workflows while also supporting multi-agent collaboration for larger business objectives.
The agent achieved a 90.9% score on the GAIA benchmark, which Xpander is highlighting as evidence of its ability to perform complex tasks requiring reasoning and interaction with tools.
The company’s broader thesis is that becoming AI-native requires more than introducing individual copilots or standalone AI applications.
Instead, Xpander believes organizations need infrastructure capable of allowing AI agents to operate securely and consistently across existing systems while meeting enterprise requirements around governance and compliance.
The platform is designed to integrate with major cloud environments and AI models rather than requiring customers to rebuild their infrastructure around a specific vendor.
That flexibility could become increasingly important as enterprises adopt multiple frontier and specialized AI models for different applications.
Xpander said its technology is already being used by global enterprises across retail, manufacturing, financial services, technology and government.
The company sees those deployments as early evidence that organizations want a common infrastructure layer capable of supporting AI across multiple departments rather than managing disconnected agent applications individually.
The $7.5 million financing will support further development and commercialization of that platform as Xpander seeks to become infrastructure underlying broader enterprise AI transformation.
Both Xpander’s platform and Omni are currently available.
KEY QUOTES:
“Every company is working to harness the power of AI and become AI-native, yet most find it unattainable.”
“Our experience at AWS, helping large enterprises move to the cloud in complex multi-year projects, has inspired us to build a platform that smoothly facilitates AI migration and adoption for organizations, to allow them to grow their businesses faster than ever before.”
David Twizer, CEO and Co-Founder of Xpander
“We are excited to join Xpander’s journey in solving the biggest problem that enterprises and decision makers are facing when attempting to adopt AI.”
“The market is inflated with point solutions but lacking platforms that enable true enterprise-wide AI transformation. We chose Xpander due to the team’s unique experience and expertise and their proven early results. With diverse customers using the platform successfully, it was clear to us that Xpander is positioned to lead this critical category.”
Tal Yatsiv, General Partner at Pico Venture Partners
