Factored

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Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from Factored, Science, Technology & Engineering, 400 Castro Street, Suite 600, Mountain View, CA.

Factored was conceived in Palo Alto, California in 2019 by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI, machine learning and data science engineers globally.

06/19/2026

Today, we recognize Juneteenth.

A day that marks the end of slavery in the United States and serves as a reminder that progress is built through courage, perseverance, and collective action.

We value authenticity, inclusion, and respect for different perspectives because stronger teams are built when people can bring their full selves to the table.

As we reflect on this important day, we celebrate the individuals and communities whose contributions continue to shape a more equitable future.

Brilliant Teams. Accelerating AI.

06/18/2026

Your Agent Failed. Do You Know Why?

Everyone wants agentic AI.
Few teams can explain why an agent failed.

We're demoing production-grade AI observability that shows where things break and how to fix them.

Because you can't scale what you can't trust.

Schedule a meeting or stop by our booth #524 to see the demo

06/17/2026

Most Data Platforms Fail Before the First Pipeline Is Built.

The hardest part of building a data platform is standardization.

Without a framework, every team creates its own conventions:

Different naming standards.
Different governance models.
Different quality expectations.

The platform becomes a collection of tools instead of an operating model.

Our Common Data Platform demonstrates how framework-driven engineering creates consistency across governance, lineage, quality, ownership, and consumption.

The architecture combines:
• Medallion data modeling
• Centralized governance
• Automated quality validation
• Business-focused data products
• Semantic access through Genie

The interesting question is how to build hundreds of them without creating chaos.

Learn More by visiting our Booth #524 at

https://hubs.la/Q04lHTj-0

Photos from Factored's post 06/16/2026

Applications are open for the Factored AI Machine Learning & GenAI Residency.

This is a full-time, paid residency for experienced AI engineers working on production systems.

At Factored AI, co-founded by Dr. Andrew Ng, the residency is built around real ex*****on:
production-grade LLMs, RAG pipelines, agentic workflows, and system-level evaluation under real-world constraints.

This is a selective track designed for engineers ready to grow through ownership, rigor, and real responsibility.

Applications are open to a limited group.

Challenge the buzzwords and start building real AI.https://hubs.la/Q04lvgFQ0

Photos from Factored's post 06/12/2026

One week to Databricks Data + AI Summit 2026. Here's what to know before you get there.

→ Swipe for the full picture.

We'll be at Booth #524 all week with live demos, senior engineers, and results across every industry we serve.

If you're attending and want 30 minutes with the team:
Book it here: https://hubs.la/Q04ldRHV0

05/26/2026

Every day, Factored helps retailers personalize and monetize their customer experience, improve employee productivity, and build supply chain resiliency.

For three days, find us at Data+AI Summit, booth 524, to talk with you about it.

Oh, and we have demos!

See the Anomaly Detector, which catches the moment “in stock” meets an empty shelf and ranks every gap by the dollars you can still recover.

Or, check out the Demand Forecasting Pipeline, with forecasts that retrain themselves, flag their own drift, and explain why the number changed.

Databricks attendees: come by booth 524 to meet our engineers and learn our best practices.
https://hubs.la/Q04hYTdz0 Or, book a meeting.


For three days, find us at the Data+AI Summit, booth 524, to talk with you about it.r work with these four verticals:






This is post 1/4.

05/22/2026

Companies have the budget, the strategy, and the roadmap, but not the engineers who can execute it at the level AI actually demands.

The gap between "we're exploring AI" and "we have AI running in production" almost always comes down to one thing: the caliber of the team building it.

At Data + AI Summit 2026, we're bringing the engineers on the right side of that gap to Booth 524.

Juan David Gil — Head of Engineering at Factored
Sergio Polimante — Databricks Certified Champion
Henry Mejia — Databricks Certified Champion & AI Data Governance specialist
Douglas Coimbra — AI & ML engineer with 20+ years turning cutting-edge research into production systems (Dsc, patents, deployments at scale)

Live demos. Real systems.

If you're attending DAIS and want 30 minutes with the team that builds what others are still trying to hire for:
📍 Booth 524 · June 15–18 · San Francisco
→ Book 30 min with our engineers: https://hubs.la/Q04hHhw-0

Near Real-Time Inventory Intelligence Webinar 05/08/2026

Tomorrow: Live session
Most retail teams have the inventory data. What they don't have is a system that turns signals into action before the sale is gone.

Why join if you're a retail leader:
Your revenue targets are tied to inventory accuracy, and phantom stockouts are the gap no one sees until it's too late.

What you'll walk away with:
▪️A real case: how a top U.S. retailer recovered millions of revenue by detecting hidden stockouts across 2,500 stores, in production, not a proof of concept
▪️The blueprint: from anomaly detection to store alert to shelf correction in near real time
▪️Live demo + Q&A to pressure-test it against your own operation

60 minutes. No fluff.
📅 Tomorrow | 1 PM PDT | Zoom

Join here:

Near Real-Time Inventory Intelligence Webinar Discover how Factored’s specialized engineering teams in AI, ML, and data deliver custom solutions for near real-time inventory intelligence. We’ll cover how to detect anomalies, optimize stock, and turn data into operational decisions at scale.

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Address


400 Castro Street, Suite 600
Mountain View, CA
94041