Building the Data Backbone of
Generative Video, Speech and Music AI.
Beatpulse curates, retrieves, structures and labels vast amounts of high-quality, human-generated content, that has never before been accessible to AI for training or inference. Our datasets are enriched with in-house metadata preparation and Human-in-the-Loop (HITL) annotation.
Video Data Provision
Licensed Video Training Data For
Generative AI Video Models
BeatpulseLabs provides exclusive, licensed and non-public multimodal video datasets with Human in the Loop (HITL) scene and frame-level annotations. Our metadata covers camera angles, movement, facial expressions, dialogue, objects and action recognition. Plug-and-play for AI training and inference.
+10M hours of Video
Our video AI training datasets span 10M+ hours of multi-format, multi-genre footage - from documentaries to drama and news to nature, we provide unparalleled depth, variety and licensing clarity.
Scene Segmentation
Footage is meticulously segmented into individual scenes, shots, and transitions, ideal for training models in action recognition, object tracking, and generative video tasks.
Rich Metadata
Every scene is annotated with verified metadata including shot type, scene category, camera angle, lighting, emotion and spoken dialogue for powerful context-aware training. Custom labels available as needed.
Multi-Format
From short-form content to full-length features, and across formats like MP4, ProRes, and RAW, we ensure comprehensive coverage to suit diverse model requirements.
Cleared for AI Use
We work directly with major broadcasters, who grant us the rights to license their content for AI training. All video is ethically sourced, legally cleared, and ready for commercial use.
Human-Labeled
Every annotation is created or validated by trained video specialists, ensuring
human-level accuracy for training
high-performance video AI models.
Speech Data Provision
Licensed Speech Data For
Generative AI Speech Models
BeatpulseLabs provides exclusive, non-public multilingual speech datasets. Our metadata spans accents, speaker diversity, emotions, prosody, and precise word-level transcripts, making it fully AI-ready for training and inference.
+40M hours of Speech
Vast speech and voice training datasets catalogue, featuring unique voices across languages, age, gender and emotions, capturing the full spectrum of
human voice.
Multi Dialect and Language
Support for multiple languages and a wide range of accents, dialects, and regional variations, perfect for training global-ready speech models.
Multi-Environment
Speech recorded in both studio-quality conditions and real-world noise settings, ensuring models perform in diverse acoustic scenarios.
Multi-Format and
Multi-Type
Each audio file is accompanied by accurate, time-aligned transcripts, including
word-level metadata for precise training.
Emotional & Tonal
Labelling
Speech clips are annotated with emotional states, tonal shifts, and intensity levels, essential for emotion recognition and generative voice models. Custom labels available as needed.
Rich Metadata and Structured File Systems
Audio files are organised with consistent naming, clear versioning, and standardised formats (WAV, FLAC, MP3) to streamline your training pipeline.
Music Data Provision
Licensed Music Training Data For
Generative AI Music Models
BeatpulseLabs provides exclusive, non-public, stem-level music datasets enriched with human-verified metadata (genre, mood, BPM, instrumentation), Human-in-the-Loop (HITL) labelling.Our AI datasets feature isolated instrument tracks, wet/dry vocals, MIDI files and multi-genre coverage,
+800k Music Assets
From hip-hop to trap, K-pop and beyond, our global network of contributing creators provides multi-genre training data with unmatched depth and artistic diversity.
Full Stems
Complete audio tracks with authentic stems (vocals, drums, guitar, etc.) are provided to teach AI models how music truly works.
Mixed Vocals
Each track includes both wet (processed) and dry (unprocessed) vocal stems, enabling models to learn the nuances of singing
Detailed Metadata and HITL Labelling
50+ metadata fields, verified by our in-house sound engineers through a Human-in-the-Loop (HITL) process. Custom labels available as needed.
MIDI Files
MIDI datasets are included in the datasets, offering flexibility and precision for AI models to adapt across instruments
Multi-Genre
Genre and style are essential to creating the right sound. We provide over 30 global and region-specific music styles and genres, ensuring a diverse selection tailored to various needs.
100% Human
Our datasets are fully human-made to ensure authenticity and superior model performance. Synthetic data has no place in our training process.
File System and Naming Convention
All assets are organised in a standardised file system and a consistent naming conventions to simplify integration.
Exclusive Ownership
We have exclusive rights for our full catalog. That is why nobody else has access to the proprietary AI training datasets we manage.
Catalog Monetisation Tools
Monetising Media Archives as
AI Training Data.
BeatpulseLabs helps rights holders transform video, speech, and music archives into AI-ready datasets through Human in the Loop (HITL) labeling, metadata enrichment, and structured formatting for generative AI training.
01
We analyse your video, audio and text archives
Beatpulse works with video, audio, and text archives, directly sampling, analysing, and structuring your content with minimal effort from your data team. We flag any IP or technical limitations upfront and transform your content into monetisable AI training datasets.
02
We convert it to usable AI training data
We process and enrich your content with metadata standardisation, annotation, optimisation and quality testing to make
it AI training ready.
03
Monetisation
of your converted content
We add your content to our AI training datasets, securing reliable and recurring new revenue streams for you.
Provide us your raw Audio
Have unused audio content you’re unsure how to leverage? We’ll transform it into valuable, monetisable AI training data.
Transforming Raw Audio Into AI-Ready Datasets
We collaborate with major content holders to transform their audio libraries into AI-ready datasets to train their internal models or generate revenue through licensing to external partners.
We convert it to data
We process and enrich your raw audio with metadata standardisation, annotation, audio optimisation and quality testing to make it AI-ready.
We monetise it for you
We secure high-value clients who pay to use your transformed audio data for AI training, maximising its earning potential.
