AIxBlock is an enterprise-grade AI training data platform, primarily serving the training, fine-tuning, and evaluation of speech AI and large language models (LLMs).
[Purpose] AIxBlock helps enterprises acquire real-world datasets across multiple modalities, industries, and scenarios, and provides large-scale customized data collection services. Its core positioning is as an infrastructure partner for speech and conversational data, rather than a generalized "we label everything" annotation outsourcer.
[Main capabilities]
- Multilingual scale: supports more than 100 languages, relying on a global crowdsourced workforce, and can quickly deliver large projects.
- Speech data services: collection, transcription, and annotation in more than 100 languages, using professional voice actors or natural speakers, covering various accents.
- Sound and environmental audio: collection of real-world sounds and noise, such as ambient sounds, background noise, machine sounds, acoustic scenes, etc., for audio classification, noise detection, and sound recognition models.
- Text and conversational data services: dialogue annotation, intent/entity annotation, RLHF preference data, and LLM fine-tuning datasets.
- Off-the-shelf call center audio (OTS): hundreds of thousands of hours of real call center recordings, covering American, Indian, and Filipino accents as well as Indian languages.
- Self-hosted platform: a complete AI development platform, including a data engine, training, and a GPU marketplace. It can be deployed on the customer's own infrastructure, or directly connect to customer storage, so data does not remain on AIxBlock servers.
- Quality and governance controls: including multi-layer contributor verification, consensus mechanisms, blind testing, three-layer QC (QA, QC, QC2), and localized SME localization guidelines and training.
[How to use] Enterprise customers can initiate speech collection, transcription, annotation, dialogue annotation, or RLHF data projects through AIxBlock. For customized collection projects, the platform allows customers to connect their own storage from day one, and collected, annotated, or verified data is delivered directly to customer storage, with AIxBlock not retaining copies. The platform also supports self-hosted deployment, allowing customers to run the data engine, training, and GPU marketplace on their own infrastructure.
[Applicable scenarios]
- Banking AI systems: need multilingual training data that reflects real customer service conversations, while meeting sensitive data compliance requirements in different countries.
- Speech AI, QA, and speech analytics systems: need real multilingual conversational data, especially natural, structured, high-quality audio.
- Multi-region multilingual speech data projects: need to scale speech data across multiple markets and customer languages while maintaining delivery speed and quality.
- Regulated industries: banking, healthcare, government, etc., have strict requirements for datasovereignty and compliance.
- Foundation model labs and internal product teams: need RLHF preference data, dialogue annotation, NER, intent annotation, and fine-tuning datasets when building copilots.
[Limitations] AIxBlock focuses on speech and conversational data, and does not cover image or video annotation. Some specific projects require KYC biometric verification to join. Regarding specific pricing, packages, free trials, or SLA terms, the current materials do not provide them.
