Xpander raises $7.5m to fix enterprises’ AI adoption gap

Xpander

Xpander, a vendor-neutral enterprise AI enablement platform, has secured $7.5m in a Seed funding round led by Pico Venture Partners, with participation from Emerge Ventures, Samsung Next and SeedIL.

The capital will be used to speed up Xpander’s push into the market with its all-in-one, turnkey platform, which is designed to work regardless of a customer’s existing vendor setup. Alongside the funding news, the company unveiled Omni, its enterprise AI agent, which has recorded a score of 90.9% on the GAIA benchmark.

Despite widespread interest in AI, few enterprises have managed to embed it meaningfully into their operations.

Research cited from McKinsey shows that although 88% of organisations now use AI somewhere in their business, just 1% consider their rollout mature, with roughly two thirds still confined to pilot projects. As a result, AI is frequently treated as an add-on to existing systems rather than a base that companies can build and expand upon.

Xpander positions itself as the answer to that gap, tackling the infrastructure, security and governance obstacles that have held back wider enterprise AI use. Its platform is built to slot into a company’s existing operations, working across the main cloud providers and AI models, so businesses can build an AI-native foundation without sacrificing scale, speed or flexibility.

Founded by David Twizer, Ran Sheinberg and Moriel Pahima, Xpander was created to let enterprises adopt, build, run and manage AI agents freely, without needing to overhaul their infrastructure or compromise on security, compliance and regulatory obligations.

Rather than restrict clients to ready-made tools, Xpander gives customers access to Omni, described as its agentic Forward Deployed Engineer, to pursue AI use on their own terms. Whether that means an AI teammate for each employee, tools for teams to build their own agents, or embedding AI across every process, Omni is built to turn complex tasks into simple, autonomous workflows, while also supporting multi-agent collaboration.

Underpinning the platform is what Xpander calls its universal agent harness: a runtime that works across models, frameworks and clouds, running AI agents as portable workloads inside a customer’s own environment while rendering agent interfaces securely on demand.

This same infrastructure supports both deployment flexibility and governance, letting organisations build, launch and manage production-grade agentic applications across their products, workflows and data, with centralised oversight built in. The platform is already being used by global enterprises in retail, manufacturing, financial services, technology and government.

Xpander CEO and co-founder David Twizer said, “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.”

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