Modern & Scalable Data Pipelines for Analytics & AI

We build robust ELT (Extract, Load, Transform) pipelines that consolidate your disparate data sources into a single source of truth, ready for advanced analytics and AI.

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Trusted by Innovators Across Industries

Automotive

Healthcare

Retail

Robotics

Finance

Government

Why P-ELT

Unlock the Full Potential of Your Cloud Data Warehouse

Don't let data silos hold you back. Our modern ELT approach provides the flexible, scalable foundation you need to drive data-driven decisions.

Flexible & Modern Architecture

Leverage the power of your cloud data warehouse. Our ELT approach loads raw data first, allowing for flexible, on-demand transformations using the latest tools.

Real-Time Data for Real-Time AI

Build high-throughput, low-latency pipelines for streaming data. Enable real-time analytics, fraud detection, and dynamic personalization models.

Unified Data for Holistic AI

Break down silos by consolidating all your data sources into a central repository, providing a complete, unified view to train more powerful and accurate AI models.

How It Works – Four Steps to Success

Our streamlined four-step process ensures high-quality results with fast turnaround times.

1. Source Connection

Connect to any data source—databases, SaaS applications, event streams, and files—with our extensive library of connectors.

2. Data Extraction & Loading

Reliably extract and load raw data into your cloud data warehouse (e.g., BigQuery, Snowflake, Redshift) with high-performance pipelines.

3. In-Platform Transformation

Transform and model your data directly within the warehouse using SQL-based tools like dbt, enabling agile and version-controlled logic.

4. Analytics & AI Enablement

Deliver clean, structured, and analytics-ready data to your BI tools and machine learning workflows.

Customer Success Stories

Discover how leading companies have achieved breakthrough results with Pulan AI's data annotation services.

E-commerce Analytics

90% Faster Reporting

An e-commerce giant reduced their time to generate daily sales reports from 10 hours to under 1 hour by migrating from legacy ETL to a modern ELT pipeline.

SaaS Operations

360-Degree Customer View

A B2B SaaS company built a 360-degree customer view by consolidating data from Salesforce, Hubspot, and their product database into a single data warehouse.

Gaming Analytics

Processed 1B+ Events Daily

Developed a streaming ELT pipeline for a mobile gaming company to process over 1 billion in-game events per day for real-time player behavior analysis.

Blog & Resources

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