Factored

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.

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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

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:

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.

05/08/2026

How long does it take from when a stockout happens to when someone on the ground actually acts on it?

Hours? Days? Never?

We're hosting a webinar session next week that's entirely about closing that window.
Live demo of how we built the detection and alerting layer and what that gap actually costs.

Date: May 14 | 1 PM PDT

Registration link: https://hubs.la/Q04f_zKR0

05/05/2026

Nerdapalooza 2026

The Ultimate Event for AI, ML & Data Engineers
Our annual event, held across two countries, brings together high-caliber engineers from around the world. Diverse cultures. Unique stories. One shared identity.

Nerdapalooza unites Factored's global team for celebration, music, and community building, alongside technical learning.

Each Center of Excellence (AI, Machine Learning, Data Science, Data Engineering & Data Analytics) shares technical deep dives, sharpens ex*****on standards, and aligns on raising the bar for customer delivery.

This gathering of diverse talent fosters shared standards and technical alignment, leading to compounded excellence: Stronger teams. Faster ex*****on. Higher-quality systems.

This is what belonging at Factored looks like.

05/05/2026

Retail loses $1.73 trillion a year to inventory distortion.

Not because the data isn't there. Because by the time the signal reaches the right person, the sale is already gone.

That's the ex*****on gap.

Inventory systems need an ex*****on layer that sits between the signal and the store team.
- Detection
- Orchestration
- Action

On May 14, we'll walk through how this is built and how it runs in production, including the ML models, alert logic, and workflow layer.

Register here: https://hubs.la/Q04fn83M0

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.

04/30/2026

Factored AI Forum Rio de Janeiro: From Research to Production

This week in Rio, we hosted a room of senior engineers to discuss how large-scale LLMs are compressed and deployed.

Led by our Head of Research, Mosquera, we explored the constraints that define modern AI:

🔵Distilling large models (31B → 4B) for production
🔵Running LLMs on constrained hardware with TurboQuant
🔵Fixing train vs inference mismatch
🔵Operating under real constraints: latency, cost, reliability.

To everyone who joined us, thank you for your brilliance and your time. It was incredible to connect with such a passionate community. This was the first of many local activations. Stay tuned to see which city we visit next!

Rio showed our daily work: turning frontier research into production reality. We are looking for elite engineers to join this process. If you thrive on solving the world's hardest problems, the best years of your career start here.

Join the top 1% →https://hubs.la/Q04f3Q130

04/29/2026

AI inventory systems can minimize stockouts by up to 65% by predicting demand surges in real time, identifying supply risks early, and dynamically reallocating inventory.

Revenue is lost in the delay between detection and action.

By the time inventory issues are visible, the sale is already gone.

Leading retailers are solving this with near-real-time systems.
→ Near real-time anomaly detection across stores and SKUs
→ Automated alerts routed directly to frontline teams
→ Closed loop between data and ex*****on

We'll walk through how this works in a live demo.
📅May 14 | 1 PM PDT | Zoom

Save your spot:https://hubs.la/Q04dFdrG0


*Sources: IHL Group- Harvard Business Review- iVend Retail - Deloitte/NRF 2026- ITrex Group-Business Research Company.