About SanFire

16 years of making
data work.

We started cleaning data before "data cleaning" was a job title. Today, we're one of the most experienced data operations teams in the business.

The short version:

SanFire was founded in 2010 with a simple premise — businesses have too much data and not enough of it is usable. We started with manual data entry and cleaning for enterprises, building a team that understood the difference between data that looks clean and data that actually is clean.

Over 16 years, we processed tens of millions of records across industries — healthcare, finance, e-commerce, logistics, and more. We built institutional knowledge about how data breaks, where errors hide, and what it takes to make datasets genuinely production-ready.

In 2025, we went AI-native. Not by replacing our team — by augmenting them. We now run autonomous AI agent swarms on dedicated servers, handling volume processing at 10x speed while our human experts focus on judgment calls, edge cases, and quality gates.

The result: the precision of 16 years of human expertise, at the speed and scale of modern AI infrastructure.

Our Journey

From spreadsheets to
AI swarms.

2010

Founded

Started as a data entry and cleaning service for Indian enterprises. Small team, big ambition.

2014

Scale Up

Expanded to serve international clients. Built proprietary quality assurance processes that would become our signature.

2018

AI Training Data

Pivoted to serving ML teams. Data labeling, annotation, and purpose-built training datasets became our fastest-growing service.

2022

Automation First

Started integrating automation tools into our pipeline. 3x throughput improvement while maintaining quality benchmarks.

2025

AI-Native

Deployed autonomous AI agent swarms on dedicated servers. Full AI+Human hybrid pipeline. Cowork and OpenClaw integration for custom workflows.

2026

Today

Operating at full AI-native capacity. 50M+ records processed lifetime. 99.7% accuracy. Ready for whatever your data throws at us.

What We Believe

Principles that
don't bend.

01

Accuracy Over Speed

We'll never sacrifice data quality for a faster turnaround. Clean data that's a day late beats dirty data delivered on time, every time.

02

Your Data, Your Servers

We process on dedicated infrastructure, never shared cloud. Your data stays under our direct control from ingestion to delivery.

03

AI Augments, Not Replaces

Our AI agents handle volume and repetition. Human judgment handles nuance and edge cases. This combination is our moat.

04

No Black Boxes

You see exactly what we did to your data, why, and how. Full audit trails. Complete transparency. No surprises.

Want to work with us?

We're always looking for interesting data challenges. Tell us about yours.

Get in Touch