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.

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.

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Fibonacci.py
def fibonacci(n): # Base case if n <= 1: return n else: # Recursive case return(fibonacci(n-1) + fibonacci(n-2)) # Example usage print(fibonacci(10))
ToDoList.js
document.addEventListener('DOMContentLoaded', () => { document.getElementById('add-task').onclick = function() { let task = document.getElementById('new-task').value; let li = document.createElement('li'); li.textContent = task; document.getElementById('tasks').appendChild(li); }; });
landing.html
<!DOCTYPE html> <html> <head> <title>Simple Page</title> <style> body { font-family: Arial, sans-serif; margin: 20px; } header { color: #2E2E2E; margin-bottom: 20px; } footer { color: #787878; margin-top: 20px; } </style> </head>
UserData.sql
SELECT FirstName, LastName, Email FROM Users WHERE IsActive = 1 ORDER BY LastName;
QuickSort.cpp
#include <iostream> void quickSort(int arr[], int left, int right) { int i = left, j = right; int tmp; int pivot = arr[(left + right) / 2]; /* partition */ while (i <= j) { while (arr[i] < pivot) i++;
Fibonacci.py
def fibonacci(n): # Base case if n <= 1: return n else: # Recursive case return(fibonacci(n-1) + fibonacci(n-2)) # Example usage print(fibonacci(10))
ToDoList.js
document.addEventListener('DOMContentLoaded', () => { document.getElementById('add-task').onclick = function() { let task = document.getElementById('new-task').value; let li = document.createElement('li'); li.textContent = task; document.getElementById('tasks').appendChild(li); }; });
landing.html
<!DOCTYPE html> <html> <head> <title>Simple Page</title> <style> body { font-family: Arial, sans-serif; margin: 20px; } header { color: #2E2E2E; margin-bottom: 20px; } footer { color: #787878; margin-top: 20px; } </style> </head>
UserData.sql
SELECT FirstName, LastName, Email FROM Users WHERE IsActive = 1 ORDER BY LastName;
QuickSort.cpp
#include <iostream> void quickSort(int arr[], int left, int right) { int i = left, j = right; int tmp; int pivot = arr[(left + right) / 2]; /* partition */ while (i <= j) { while (arr[i] < pivot) i++;
Fibonacci.py
def fibonacci(n): # Base case if n <= 1: return n else: # Recursive case return(fibonacci(n-1) + fibonacci(n-2)) # Example usage print(fibonacci(10))
ToDoList.js
document.addEventListener('DOMContentLoaded', () => { document.getElementById('add-task').onclick = function() { let task = document.getElementById('new-task').value; let li = document.createElement('li'); li.textContent = task; document.getElementById('tasks').appendChild(li); }; });
landing.html
<!DOCTYPE html> <html> <head> <title>Simple Page</title> <style> body { font-family: Arial, sans-serif; margin: 20px; } header { color: #2E2E2E; margin-bottom: 20px; } footer { color: #787878; margin-top: 20px; } </style> </head>
UserData.sql
SELECT FirstName, LastName, Email FROM Users WHERE IsActive = 1 ORDER BY LastName;
QuickSort.cpp
#include <iostream> void quickSort(int arr[], int left, int right) { int i = left, j = right; int tmp; int pivot = arr[(left + right) / 2]; /* partition */ while (i <= j) { while (arr[i] < pivot) i++;
Fibonacci.py
def fibonacci(n): # Base case if n <= 1: return n else: # Recursive case return(fibonacci(n-1) + fibonacci(n-2)) # Example usage print(fibonacci(10))
ToDoList.js
document.addEventListener('DOMContentLoaded', () => { document.getElementById('add-task').onclick = function() { let task = document.getElementById('new-task').value; let li = document.createElement('li'); li.textContent = task; document.getElementById('tasks').appendChild(li); }; });
landing.html
<!DOCTYPE html> <html> <head> <title>Simple Page</title> <style> body { font-family: Arial, sans-serif; margin: 20px; } header { color: #2E2E2E; margin-bottom: 20px; } footer { color: #787878; margin-top: 20px; } </style> </head>
UserData.sql
SELECT FirstName, LastName, Email FROM Users WHERE IsActive = 1 ORDER BY LastName;
QuickSort.cpp
#include <iostream> void quickSort(int arr[], int left, int right) { int i = left, j = right; int tmp; int pivot = arr[(left + right) / 2]; /* partition */ while (i <= j) { while (arr[i] < pivot) i++;

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.

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Kick off data creation by the smartest talents on our gamified platform

World class engineers generate and label data on our gamified platform

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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

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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.