BeatpulseLabs Raises $1.8M Pre-seed to Power the Next Generation of Real-World AI Training Data

BeatpulseLabs, a London-based AI data company turning expert human judgment into high-fidelity training datasets for the world's most advanced multimodal models, announced it has raised $1.8 million in pre-seed funding led by Araya Ventures and Lighthouse Ventures, with participation from Alumni Ventures and Avalancha Ventures.

The announcement comes as BeatpulseLabs has witnessed 10x revenue growth over the first half of 2026, underscoring strong enterprise demand for high-fidelity, custom AI training datasets.

The emergence of multimodal AI systems used in the enterprise has created growing demand for data that reflects the complexity of the real world. As companies build increasingly sophisticated models, the limitation is no longer access to raw training data, but the ability to encode human judgement in the context of the specific use case. Beatpulse  is positioned to become the foundation data infrastructure layer targeting this gap.

Founded by South African Jason Rieff and Bulgarian Nikolay Vitanov the company is addressing a growing challenge in artificial intelligence: that most multimodal models are trained on poor training data, limiting their ability to perform reliably in real-world environments.

BeatpulseLabs combines two tightly integrated core offerings: dataset preparation and dataset provision. The company transforms existing multimedia content libraries into enterprise-grade training datasets by cleaning, structuring, labelling, validating, enriching, and formatting raw speech, music and video assets . It also provides ready-made and custom, rights-cleared datasets for companies that need high-quality training data without starting from their own archive. The result is enterprise-grade, context-rich data built for model training, fine-tuning and reinforcement learning. This shortens training time, helps improve model accuracy and reduces hallucinations.

"Enterprise AI doesn't fail in testing. It fails when it meets the real world. BeatpulseLabs closes that gap by building training data around how each business actually operates," says co-founder Nikolay Vitanov. "We proved this approach in some of the most demanding multimodal domains such as music, video and speech. The same logic applies anywhere the margin for error is low, from robotics to knowledge work. Using generic training data is like letting a confident stranger make decisions for your business. We do not recommend it.”

The company’s platform combines exclusive, licensed datasets with human-in-the-loop annotation and deep metadata enrichment, 

"BeatpulseLabs is tackling one of the most fundamental bottlenecks in Enterprise AI today: creating datasets beyond scale and general-purpose labelling, by embedding Subject Matter Expertise product-specific workflows, and high-fidelity human judgement directly into the data that powers Enterprise AI models” says Mitul Ruparelia, General Partner at Araya Ventures.

“We are excited to co-lead this round. What Nikolay and Jason have built in such a short space of time is truly remarkable.” says Rupa Popat, Founder & Managing Partner at Araya Ventures.

While the funding provides additional firepower to expand in new domains, the company positions the round as a strategic step rather than a capital necessity.

“AI models are only as capable as the data they are trained on,” said Jason Rieff, Cofounder of BeatpulseLabs. “Today, too much training data is generic, messy, and shallowly labelled, chosen because it’s easy to access rather than being fit for purpose. We’re building the missing data layer: transforming raw multimedia content into structured, annotated, model-ready datasets that help AI systems understand context, not just patterns. The old approach of throwing broad labels onto available content is no longer enough for the next generation of AI.“

About BeatpulseLabs
BeatpulseLabs is building the data infrastructure layer for enterprise AI. The company transforms human intelligence, judgment, and taste into high-fidelity training datasets for AI models, helping them perform in the most nuanced real-world domains where generic data falls short. By combining specialist subject matter experts with proprietary workflow software and exclusive multi-modal data, BeatpulseLabs creates the trusted data foundation powering the next generation of multimodal enterprise AI.