Simply tell our AI agent what you want to predict, point it to your BigQuery data, and watch it automatically build, test, and deploy production-ready machine learning models. No coding required.
Every company has data. Every company wants AI insights. But building ML models requires months of expert work, costs hundreds of thousands, and often fails completely.
Of data scientist time wasted on manual tasks
Months to build one model manually
Of ML projects never reach production
Months of manual feature engineering, model testing, and optimization. By the time it's ready, business needs have changed.
Senior data scientists cost $150K+ annually. Most companies can't afford dedicated ML teams for every project.
Requires deep expertise in statistics, programming, cloud infrastructure, and domain knowledge. Few people have all these skills.
Imagine having a world-class data scientist who works 24/7, never gets tired, knows every ML technique ever published, and costs 90% less than hiring humans.
Our AI agent researches the internet in real-time to find the newest, most effective machine learning techniques for your specific problem. It never uses outdated methods.
Like a human expert, it identifies what's not working in your model and focuses on fixing exactly those parts, not randomly trying everything.
Plugs directly into your existing Google Cloud data. No data migration, no security risks, no additional infrastructure needed.
Delivers clean Python code and trained models that your team can immediately deploy, modify, and maintain.
Watch our AI agent transform your business problem into a working ML solution in hours, not months.
You provide a simple description: "Predict customer churn" and point to your BigQuery table. The AI analyzes your data structure and understands what you're trying to achieve.
The agent searches the internet for the latest techniques, reviews successful approaches for similar problems, and creates a comprehensive strategy.
It automatically writes code for data preprocessing, tries multiple ML algorithms, identifies weak spots, and iteratively improves performance.
You receive clean Python code, a trained model, performance reports, and step-by-step deployment instructions. Ready for production.
Powered by the same infrastructure that runs Google Search and Gmail. Enterprise-grade security, unlimited scale, 99.99% uptime.
Built on the same AI models powering Google's products. Constantly updated with the latest breakthroughs.
Your data never leaves Google Cloud. Same security standards as Google's own products.
Handles datasets from thousands to billions of rows. Automatically scales compute resources as needed.
Continuously learns from the latest research papers and successful ML projects across the internet.
All processing happens within your Google Cloud environment. No data sharing, no privacy risks.
Works with your existing BigQuery setup. No new infrastructure, no complex configurations.
Handles any data size. Google's infrastructure automatically provides the compute power needed.
Stop spending hundreds of thousands on manual ML development. Get better results for 90% less cost.
Less expensive than hiring data scientists. One junior engineer can now do the work of an entire ML team.
Faster than manual development. Deploy ML solutions in days instead of months.
Average improvement over manual approaches by using the latest techniques automatically.
Project success rate vs 37% industry average for manual ML development.
Plus 10x more models delivered + guaranteed results
Watch how AutoML Agent tackles a real business problem and delivers production-ready results.
4 hours vs typical 3-6 months manual development
94.2% accuracy vs previous manual model's 82%
$2.3M potential savings identified automatically
Join the AI revolution. Stop wasting time and money on slow, manual ML development. Start building production-ready models in hours, not months.
4-week pilot project. Fixed cost. Guaranteed results. If we don't deliver a working ML model that beats your current approach, you pay nothing.