How Google's AI Transforms Enterprise Document Processing

Discover how Google's Gemini 2.0 transforms enterprise document processing with AI powered PDF analysis. Empower your business and get started today!

Uttam Kumaran

CEO & Founder

Published on

February 26, 2025

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Latest Articles

How We Built End-to-End Analytics for a $100M Ecommerce Company

How we solved scattered reporting and unclear KPIs for a $100M+ ecommerce company using modern data architecture and ELT methodology.

How Google Uses AI to Improve Search Results

Discover how Google's AI technologies like BERT, RankBrain, and Gemini are transforming search results to deliver more accurate, personalized answers in 2025.

Amplitude Tutorial for Product Analytics Success in 2025

Master Amplitude with this comprehensive tutorial covering pricing, tracking plans, implementation, and core reports to generate powerful product insights for your team.

Take the guesswork out of decision-making.

Let our Custom Segmentation Solution empower your team with targeted, actionable insights.

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Data

How We Built End-to-End Analytics for a $100M Ecommerce Company

How we solved scattered reporting and unclear KPIs for a $100M+ ecommerce company using modern data architecture and ELT methodology.

Amplitude Tutorial for Product Analytics Success in 2025

Master Amplitude with this comprehensive tutorial covering pricing, tracking plans, implementation, and core reports to generate powerful product insights for your team.

How Publishers Use Data to Predict Bestseller Trends

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Real-Time Data Ingestion with Apache Kafka

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How Nestle Uses Data Analytics for Market Expansion

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Building Robust ETL and ELT Pipelines That Scale

Learn how to architect robust ETL/ELT data pipelines that handle failures gracefully, scale automatically, and maintain data quality at enterprise scale.

AI & Automation

How Google Uses AI to Improve Search Results

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How Test-Time Scaling is Revolutionizing AI & Data Engineering Insights

Learn how the s1 model redefines AI optimization by leveraging a curated 1,000-question dataset, test-time scaling, and budget forcing to unlock smarter and more efficient reasoning.

What success actually looks like

Each story started the same: pressure to “do AI,” broken tools, and no clear plan. See what changed after we partnered up.

E-Commerce

From One Warehouse to Many

Adoption

100%

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