Enterprise-Grade Data Collection for Mission-Critical AI
Acquire high-quality, diverse, and compliant datasets to power your most demanding machine learning and AI applications.
Trusted by Innovators Across Industries
Why P-Collect
Fuel Your AI with the Right Data
The performance of any AI model is fundamentally limited by the quality of the data it's trained on. We provide the foundation you need.
Scalable & Flexible Collection
From small-scale projects to petabyte-level datasets, our infrastructure adapts to your needs. We deploy custom crawlers, APIs, and human-in-the-loop workflows to gather data from any source.
Ethical & Compliant Sourcing
We adhere to the strictest ethical guidelines and legal requirements, including GDPR and CCPA. Our data collection methods are transparent and fully auditable to ensure compliance.
Quality & Diversity
We focus on collecting diverse and representative data to mitigate bias and improve model generalization. Our multi-stage validation process ensures the data you receive is clean, accurate, and relevant.
Data Types We Collect
We source a wide spectrum of data types to meet the demands of any machine learning project.
Text Data
Text Data Collection
Collect diverse text data from the web, social media, and proprietary sources for training NLP models and LLMs.
Image Data
Image Data Collection
Source high-quality images for computer vision applications, including object recognition, facial analysis, and scene understanding.
Video Data
Video Data Collection
Acquire video footage for action recognition, autonomous systems, and behavioral analysis.
Audio Data
Audio Data Collection
Gather speech and sound data for voice assistants, sentiment analysis, and sound event detection.
Sensor & IoT Data
Sensor Data Collection
Collect time-series data from IoT devices, wearables, and industrial sensors for predictive maintenance and anomaly detection.
How It Works – Four Steps to Success
Our streamlined four-step process ensures high-quality results with fast turnaround times.
1. Source Identification
Identify and vet data sources based on your project requirements, including web, proprietary, and third-party data.
2. Data Harvesting
Utilize custom crawlers, APIs, and direct feeds to acquire raw data at scale, ethically and responsibly.
3. Quality Validation
Perform initial data cleansing, de-duplication, and validation to ensure dataset integrity and relevance.
4. Compliant Delivery
Package and deliver the curated dataset securely, ensuring full compliance with all regulatory requirements.
Customer Success Stories
Discover how leading companies have achieved breakthrough results with Pulan AI's data annotation services.
Large Language Models (LLMs)
20 Petabyte Custom Dataset
Delivered a 20 petabyte custom dataset of text and image data sourced from the public web to train a foundational LLM, ensuring diversity and quality.
Market Research
1M+ Product Reviews
Collected over 1 million verified product reviews and customer feedback entries to power a sentiment analysis engine for a market intelligence firm.
Autonomous Vehicles
500,000 Miles of Driving Data
Sourced 500,000 miles of diverse, real-world driving data from multiple geographic locations, capturing a wide range of weather and traffic conditions.
Ready to Build the Future?
Let's discuss how our data solutions can accelerate your AI initiatives.