Orq.ai lands €5M to close the AI production gap for enterprises

Orq.ai’s platform helps companies build, deploy, and manage production-grade AI agents. The new funding will advance platform growth to meet rising enterprise demand.
Orq.ai lands €5M to close the AI production gap for enterprises

Amsterdam-based Orq.ai has raised €5 million in an oversubscribed seed round led by seed + speed Ventures and Galion.exe, with continued support from Curiosity VC, Spacetime, XO Ventures, xdeck ventures, Waves Capital, and GoldenEggCheck. The round brings the company’s total funding to €7.3 million since its founding in 2022.

As regulatory requirements tighten under GDPR and the forthcoming EU AI Act, enterprises are seeking infrastructure that gives them full control over data flows, model behaviour, and deployment environments. This shift has created growing demand for platforms capable of supporting operational, production-grade AI rather than isolated demos or proofs of concept.

Orq.ai positions itself directly in this space, addressing what many refer to as the industry’s “production gap.” While enterprises can often build promising AI prototypes, few manage to run them reliably in real-world environments. Versioning issues, incomplete monitoring, manual governance, and POCs that fail under real data and compliance pressures remain common obstacles.

To solve this, Orq.ai offers a unified control layer for the entire AI agent lifecycle, enabling teams to move systems from prototype to production with reliability and compliance built in.

Unlike many point solutions in the generative AI tooling landscape, Orq.ai has taken an end-to-end approach, combining experimentation, evaluation, observability, an AI gateway, governance, and agent runtime in a single environment. Engineering teams can develop, deploy, monitor, and improve agents without relying on disconnected systems.

According to Orq.ai Co-founder Sohrab Hosseini, engineering teams’ needs extend beyond access to new models; they need robust infrastructure that enables them to industrialise the development and deployment of AI agents:

They want clarity on how agents behave, how data moves through their systems, and how to stay compliant as the regulatory landscape evolves. We provide them with the harness to have this control.

As data governance and sovereignty requirements intensify, Orq.ai’s architecture is designed to allow enterprises to run AI on their own infrastructure, meet residency obligations, and reduce reliance on external providers, an increasingly important capability for regulated industries and the public sector.

With the new capital, the company plans to expand its team across engineering, enterprise sales, and customer success, deepen its presence in key European markets, and accelerate growth in North America.

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