BeatpulseLabs

BeatpulseLabs is an AI data infrastructure company that builds training datasets for enterprise machine learning systems, converting raw multimedia material — speech, video, music and radar — into structured, labelled and validated data for model training, fine-tuning and reinforcement learning. The company describes two integrated offerings: dataset preparation, marketed as "Intelligence Extraction", in which client or third-party content libraries are cleaned, structured, labelled, validated, enriched and formatted; and dataset provision, in which ready-made or custom rights-cleared datasets are licensed to companies that do not have their own archive.

Rather than using freelance or gig annotator pools, BeatpulseLabs states that it employs full-time domain specialists organised into structured in-house teams, and develops custom annotation schemas for each client and, in many cases, for each specific product or use case. Annotators are tasked with identifying edge cases and ambiguity that current models handle poorly, feeding those findings back into the annotation process and tooling. The company positions this approach as producing lower-drift, higher-fidelity datasets than generic, broadly labelled public data.

The company reports coverage of four domains end-to-end. In music it cites roughly 3,000 musicologists, creators and annotators, a network of 1,500 in-house musicians, producers and sound engineers, and a catalogue of about 850,000 stem-level owned music assets across 180 genres growing by roughly 10,000 assets per month, with full master and publishing rights. In video it cites 700 video professionals and over one million hours of IP-cleared footage; in speech, 250 in-house linguists and voice actors covering more than 75 languages and over one million speech hours; and in radar, 50 NATO-cleared annotators and more than 10TB of radar readings from live operations.

Founding story

The company was founded by Jason Rieff, of South African origin, and Nikolay Vitanov, of Bulgarian origin, who serve as co-founders and co-CEOs. Rieff previously co-founded Beatpulse, described as a mobile marketplace for music producers, and held marketing roles in hospitality brands. The founders state they built the company on the premise that the value of AI will be unlocked inside individual enterprises, which requires purpose-built, high-fidelity training data rather than public datasets labelled by generalists.

Business model

BeatpulseLabs sells two related offerings to enterprise customers: custom annotation and dataset-preparation services delivered by in-house subject matter expert teams using proprietary workflow software, and licensing of its own pre-processed, rights-cleared multimedia datasets. Datasets are delivered pre-processed to client specifications with consistent metadata for direct use in training pipelines.

Revenue comes from enterprise client engagements for custom dataset creation and annotation, and from licensing access to the company's owned and rights-cleared speech, video, music and radar catalogues. The company reported 10x revenue growth over the first half of 2026.

Traction

The company reported 10x revenue growth over the first half of 2026 and stated that its pre-seed round was a strategic step rather than a capital necessity. Reported asset scale includes over 1M speech hours, over 1M video hours, 800k+ music tracks, stems and MIDI, and 10TB+ of radar readings.

Latest developments

In June 2026 BeatpulseLabs announced a $1.8 million pre-seed round co-led by Araya Ventures and Lighthouse Ventures, with participation from Alumni Ventures and Avalancha Ventures, to be used to expand operations and development, scale dataset infrastructure, broaden enterprise AI applications and strengthen expert-driven labeling and validation systems.