Rapidata raises €7.2 million to scale global AI human feedback network

Zurich-based AI infrastructure startup Rapidata has raised €7.2 million in a Series A funding round to expand its human-in-the-loop AI systems, according to EU-Startups. The capital comes as enterprises worldwide accelerate AI adoption and seek reliable methods to improve model accuracy, alignment, and governance.

The funding will enable Rapidata to scale its human-in-the-loop systems, enhance data collection processes, and expand globally to support enterprise clients deploying AI at scale. By focusing on human feedback as a core infrastructure layer, Rapidata addresses a critical bottleneck in AI development: the need for consistent, high-quality training and evaluation data.

The role of human feedback in AI systems

Modern AI models, particularly those based on large language models and reinforcement learning, require structured human oversight to refine outputs, prevent bias, and ensure alignment with intended outcomes. Rapidata’s platform allows organizations to integrate distributed evaluators into the AI training pipeline, creating a scalable human feedback mechanism.

Unlike purely automated training processes, human-in-the-loop systems provide nuanced judgment, context-specific evaluation, and ethical oversight. This is particularly important in sensitive applications, including financial services, healthcare, customer service, and content moderation, where AI decisions can have significant real-world implications.

Rapidata’s infrastructure is designed to connect organizations with trained evaluators efficiently, providing workflow management, quality control, and performance monitoring tools that ensure feedback is consistent, reliable, and actionable.

Market demand and investment rationale

Investment in AI infrastructure has remained robust even amid broader technology market volatility. While consumer AI startups face valuation pressure, companies providing foundational tools for enterprise AI adoption continue to attract capital. Rapidata’s Series A funding reflects investor confidence in the critical role human feedback plays in AI reliability and compliance.

Enterprises deploying AI at scale must manage several challenges, including:

1. Model drift and performance degradation over time
2. Bias and fairness considerations
3. Regulatory compliance and auditability
4. Alignment with organizational objectives

By offering a platform that addresses these challenges, Rapidata positions itself as an indispensable partner for AI adoption. Investors are increasingly recognizing that infrastructure-focused AI companies can generate sustainable recurring revenue while mitigating many risks associated with direct consumer-facing AI products.

Competitive landscape

Rapidata operates within a growing European AI infrastructure ecosystem, where other startups and established tech firms provide complementary solutions such as automated data labeling, model evaluation tools, and synthetic data generation.

However, Rapidata differentiates itself through its exclusive focus on structured human feedback, scalability across languages and regions, and integration with enterprise AI systems. By providing a network of trained evaluators along with a managed platform for feedback collection and reporting, Rapidata ensures quality and compliance that are difficult to replicate using purely automated or ad hoc methods.

This specialization gives the company a competitive advantage in industries that require high degrees of reliability, auditability, and interpretability from their AI systems.

Scaling human feedback globally

One of the core objectives of the Series A funding is to scale Rapidata’s operations internationally. Expansion will involve both geographic reach and the ability to handle larger volumes of data and model evaluations.

Scaling globally presents challenges, including coordinating distributed evaluators, ensuring consistency in feedback standards, and complying with diverse data privacy regulations. Rapidata’s platform addresses these challenges by implementing rigorous workflow management, evaluator training, and quality assurance processes.

Moreover, global scaling allows the company to support multinational enterprises deploying AI across multiple languages and cultural contexts. This capability is increasingly important as AI adoption spreads beyond English-speaking markets and into regions such as Europe, Asia, and Latin America.

Regulatory and ethical considerations

Human feedback networks play a critical role in AI governance, particularly as regulatory frameworks in the EU and other jurisdictions evolve. The EU’s proposed AI Act and similar regulations emphasize transparency, accountability, and human oversight for high-risk AI applications.

Rapidata’s platform inherently supports these regulatory objectives by providing auditable feedback pipelines, clear documentation of evaluator inputs, and mechanisms to track model improvements over time. By integrating compliance considerations directly into its workflow, Rapidata positions itself as a platform aligned with both technical performance and regulatory expectations.

This alignment is increasingly important for enterprise adoption, as organizations must demonstrate that their AI systems operate fairly, safely, and in accordance with legal requirements.

Strategic outlook and growth potential

With the €7.2 million funding, Rapidata plans to invest in product development, enterprise sales, and platform scalability. Key strategic priorities include:

1. Enhancing workflow management features for more efficient feedback integration
2. Expanding evaluator network coverage across multiple languages and regions
3. Integrating with leading AI development platforms and enterprise software stacks
4. Strengthening analytics and reporting capabilities to provide actionable insights for model improvement

By focusing on these areas, Rapidata aims to become the preferred infrastructure provider for enterprises seeking reliable, scalable, and compliant human-in-the-loop AI solutions.

The company is also exploring partnerships with AI research organizations, academic institutions, and other technology firms to broaden its network, improve evaluator training, and enhance platform capabilities. Such collaborations could accelerate growth and reinforce Rapidata’s position as a leader in AI infrastructure.

Implications for investors and the AI market

Rapidata’s Series A funding highlights the increasing recognition that human feedback is an essential component of AI system reliability and governance. For investors, the company offers exposure to a growing, high-demand segment of the AI ecosystem: infrastructure solutions that underpin enterprise adoption and compliance.

As AI adoption expands globally, enterprises will require scalable, auditable, and high-quality feedback systems. Rapidata’s focus on human-in-the-loop solutions positions it to capture a significant portion of this market, particularly in sectors where accuracy, fairness, and regulatory compliance are paramount.

The funding round also suggests confidence in the company’s long-term potential. By expanding operations, investing in technology, and solidifying its market position, Rapidata is likely to emerge as a central player in AI infrastructure over the next several years.

Rapidata’s role in shaping AI infrastructure

The €7.2 million funding round for Rapidata represents more than just capital—it validates the critical importance of human feedback in AI development and enterprise adoption. By providing scalable, high-quality, and compliant human-in-the-loop systems, Rapidata addresses a fundamental need in the AI ecosystem.

As AI becomes more embedded in business operations, decision-making, and critical infrastructure, platforms like Rapidata will play an increasingly central role in ensuring that AI systems operate reliably, ethically, and in alignment with organizational goals. For investors, partners, and enterprises, Rapidata’s growth signals a promising avenue for strategic engagement with AI infrastructure that goes beyond algorithmic innovation, emphasizing human oversight and practical implementation at scale.

Zurich-based AI infrastructure startup Rapidata has secured a €7.2 million Series A funding round to scale its human-in-the-loop AI systems and expand globally. As a leading provider of AI infrastructure for enterprise adoption, Rapidata enables autonomous AI model evaluation through structured human feedback, ensuring improved accuracy, fairness, and regulatory compliance. The pre-IPO capital raise will strengthen workflow management, grow the evaluator network across languages and regions, and integrate with enterprise AI platforms.

Investment in AI infrastructure companies like Rapidata reflects strong market demand for reliable human feedback networks, particularly in regulated sectors such as finance, healthcare, and content moderation. By combining automation with human oversight, Rapidata provides scalable, auditable, and high-quality solutions that differentiate it from competitors.

For investors, the Series A funding offers exposure to a high-growth deep tech company focused on enterprise AI adoption. Rapidata’s platform addresses critical challenges in autonomous AI systems, model governance, and human-in-the-loop feedback, positioning the company as a strategic partner for global enterprises. This capital injection and growth strategy signal confidence in Rapidata’s ability to become a central player in AI infrastructure, deep tech, and emerging enterprise-focused AI markets worldwide.