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 state of the art generative dev tools

  • Intelligent coding copilot integrated IDEs

    AI powered dev tools/extensions for VSCode, IntelliJ...

  • Repository-wide automatic PR from Github issue

    Github Issue to PR generation for <= 3 files, up to 50 lines

  • Figma design to React components generation

    Figma Design to React components files

  • Framework-specific optimized code generation

    High performance CUDA code completion, editing...

For Foundational Research Labs

Data to push the frontier of AI coding proficiency

  • State of the art (SOTA) LLMs with expert coding abilities

    Automated code generation and optimization for machine learning algorithms

  • Model for solving competitive programming - ICPC level problems

    AI-based problem-solving strategies for algorithmic challenges and competitive coding platforms

  • Enhance coding assistant functionalities from code editing to debugging

    Real-time debugging and code improvement suggestions for complex software projects

  • Framework model for generating high performance CUDA code

    Automated conversion of Python code to optimized CUDA for GPU-accelerated applications

"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 experience 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.

1

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++;

Bring your own base data or we will collect it for you.

Start with own base data if available. Alternatively, we'll collect base data for your use case.

2

Automation pipeline takes your data quality from 30% to 70%

With our in-house data processing system, we clean and augment your data.

3

The optimal React code is...

 
 
 

Expert annotator pipeline take your data from 70% to 100%

Our in-house experts take every single data point from good to perfect.

4

Receive the higest quality dataset.

Train your model with intelligently processed, expert-annotated, peer-reviewed data at the finest quality.

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.