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
Auto-verifiable tasks for Deep Research Agent
Our team has built a dataset to enhance the Deep Research Agent. Each task includes a complex domain-specific prompt and a set of rubrics for automatic answer verification. The agent’s performance on extensive online research tasks was significantly improved through end-to-end RL using this data.
View case details
Client type:
Leading AI Company
Experts:
MS & PhD in Finance
Accounting
Economics
Medicine
Linguistics
Education
Language:
English
Volume:
Application:
Enhancing Deep Research Agent using end-to-end RL
Synthetic data verification and/or editing
View case details
Client type:
Coding AI agents startup
Experts:
Software architects
DevOps engineers
Backend engineers
Language:
English
Volume:
5,000 trajectories
500 per week
Application:
Coding agent for repository maintenance and bug-fixing tasks
Get the best possible data to power your LLM or VLM