Premium curated coding data for applications and LLMs
Providing code data vetted by the best engineers, so you can build the most capable model or application
For Generative AI Developer Tools
Data to Build Better Generative Developer Tools
Intelligent coding copilot integrated IDEs
AI powered developer tools/extensions for code editors
Repository-wide automatic PRs from Github issues
Github Issue to PR generation for multi-file changes
Design to code generation
Figma design or screenshot to pretty, well-structured React code
Framework-specific optimized code generation
High performance CUDA code generation and completion
For Foundational Model Research Labs
Data to Achieve New SOTA Coding Capabilities
Sophisticated coding problems beyond current model capabilities
Advanced problem solving in every language and framework for intelligence and reasoning skills.
New frameworks, breaking changes from frameworks and libraries
Keep up-to-date with the latest updates in coding frameworks and libraries
Details, specific features for languages, frameworks, and libraries
Training models on advanced details of languages and frameworks
Intermediary debugging and coding processes
Get reasoning chains for debugging and the problem solving processes
"High-quality data is directly linked to improved model accuracy, robustness, and generalizability in machine learning models" - A. Soni et al, 2023
A 50% decreased in feature quality resulted in a significant 10% drop in F1 scores for linear models, highlighting the critical role of data integrity in ensuring effective model predictions - Budach et al, 2023
Data quality can make or break your model.
Settle for no less than perfect with our intelligent data pipeline and world-class annotators.
Talented software engineer annotation workforce
We work with seasoned developers, industry professionals, and researchers across North America with subject-matter expertise across the board.
*Fictitious names and images used. All education and work experiences are verified.
Kenny
Founding Engineer @ A16Z-backed startup
- Ex-Data Scientist @ Deloitte
- Research Engineer @ MIT
- Research Assistant @ Harvard Med
- ML Engineer @ IDUN
Jason
Software Engineer
- SWE @ ETHGlobal
- Ex-SWE @ RBC
- Ex-SWE @ Momento
- 3.94 GPA Bachelor of Computer Science UWaterloo
Kevin
Competitive Programmer
- 3rd in 2022 ICPC East Central NA Regional Contest
- 4th in 2023 ICPC East Central NA Regional Contest
- Algorithm engineer intern at LispLogics
- Canadian Computing Olympiad 2022 Silver Medalist
- 1st Place on CCC Senior 2021, 2022
Curious why the top engineers choose our annotation platform?
How we create high quality data
Define your use case, and we'll take care of the rest.
1
Tell us about your data needs or run a code benchmark with us to assesss model weakness areas.
Determine data needs internally or with our private benchmark.
2
Kick off data creation by the smartest talents on our gamified platform
World class engineers generate and label data on our gamified platform
3
The optimal React code is...
Robust system for automatic and human quality assurance.
Layers of QA from both automatic pipelines and human evaluations to reach perfection in data quality
4
Receive visible data delivered with benchmarks in our dataset viewer
Develop confidence in data quality metrics and standards, with unlimited revisions as needed
The three pillars of our data standard
What we strive for each time we provide our datasets.
- Accuracy
- Every single data point must be perfect.
- Diversity
- Diverse data to cover every edge case.
- Scalability
- Providing data volume fit for any demand.