We deliver high-quality, curated data by combining the latest AI & ML technologies with expert human feedback.
Bring expert domain knowledge to your LLMs
Our vetted experts have advanced degrees and industry experience to contribute specialized knowledge that LLMs are lacking.
Domains
Languages
How we blend AI and human expertise
1. Taxonomy creation
We design tailored taxonomies to match the model's use cases and capabilities. By starting with unique taxonomies for each domain of knowledge, we end up with well-structured and representative datasets.
Performed by:
Domain superexpert
Data architect
Outcome:
Taxonomy for each unique use case
2. Data generation
We augment state-of-the-art AI & ML technologies with expert human feedback in sophisticated data pipelines.
Our team has the expertise and experience to: |
Generate synthetic data from scratch, or validate your pre-generated data at any stage.
Select top-performing models with appropriate licenses tailored to your needs.
Develop complex data pipelines for processing raw internet-sourced data or proprietary datasets.
Input raw data:
Your proprietary data
Open-source dataset
Relevant raw data from the internet
Crowdsourced data
Performed by:
Technologies / LLM Pipeline
Human Experts
Outcome:
Raw generated dataset
3. Data verification
Our experts perform comprehensive validations on generated data to curate an accurate and reliable dataset for your model's needs.
Input:
Synthetic data
Hybrid data
Performed by:
Human Experts
Outcome:
High quality dataset
Data Solutions
Our solutions cover tasks of any complexity with diverse and comprehensive datasets.
Case Studies
AI Safety Dataset Generation
Data type:
Evaluation dataset
Client type:
Big tech
Experts:
Skilled Editors
Language:
English
Volume:
12500 datapoints
13 categories
375 subcategories
3 personas
Application:
Assessing the safety of text-to-text interactions with a general use AI chat model
View case details
Synthetic data verification and/or editing
Data type:
Demonstrations
Client type:
Enterprise
Experts:
Skilled Editors
Language:
English
Volume:
9000 datapoints
Application:
Post training for enterprise model
View case details
