We didn't start with a product.
We started with a pattern.

After 25 years and 400+ enterprise implementations, we kept seeing the same failure mode — and built the company around fixing it.

The Insight
Every company we worked with had tried to "fix the catalog." Most of them had tried more than once.

The pattern was always the same. A company recognizes it has a catalog quality problem. They scope a project. They allocate budget. They hire contractors or engage a vendor. For three to six months, focused effort improves the metrics.

Then the project ends. The dedicated team disbands. The contractors move on. Everyone returns to their normal responsibilities — which never included ongoing catalog governance.

Meanwhile, the catalog keeps changing. New products arrive. Vendors update their feeds. Categories expand. Seasonal assortments rotate. Within twelve months, quality has regressed to its pre-project state. Sometimes worse.

This isn't a failure of execution. It's a failure of framing. The project succeeded on its own terms — it improved metrics during its window. But it was never designed to maintain those improvements over time.

We saw this play out across retailers, distributors, manufacturers, and marketplaces. Different industries. Different platforms. Different team sizes. Same result. That's when we realized: the problem wasn't the people or the tools. It was the model.

What We Believe

Projects decay. Systems compound.

Catalog quality is not a state you achieve. It's a discipline you operate. The moment you stop actively managing it, entropy returns — not because anyone failed, but because catalogs are living systems that change every day.

The companies that treat catalog quality as a continuous system — scoring, enriching, benchmarking, and governing on an ongoing basis — build advantages that compound with every cycle. Better data feeds better search, which drives higher conversion, which generates more behavioral signal, which trains better recommendations.

The companies that treat it as a project experience the opposite: a repeating cycle of cleanup and regression, where each initiative costs more and delivers less than the last.

The Magnet Labs Thesis

One path compounds. The other decays.

CatalogIQ is the first platform purpose-built for continuous catalog quality — not as a PIM, not as a content tool, not as an agency in a box. It's an intelligence layer that sits alongside your existing stack and makes every downstream system perform better.

We built it because we spent two decades watching good teams fail at the wrong game. The game isn't "clean up the catalog." The game is "build a system that never lets it get dirty again."

And unlike tools that reset with each new customer, CatalogIQ is designed to compound. Every catalog we score deepens our understanding of what quality looks like across categories, verticals, and vendor types. That institutional knowledge — built deployment by deployment — is the moat. By the time a competitor builds a continuous quality system, we'll have pattern intelligence across hundreds of catalogs they've never seen.

Why Now

Three forces are making catalog quality existential.

For years, catalog quality was a slow leak. Painful, but survivable. That era is ending.

// 01
Discovery is fragmenting
Customers find products through your site, Google, Amazon, voice assistants, social platforms, and increasingly through AI agents. Each channel has different requirements. Each punishes catalog inconsistency in different ways. You can't manually optimize for all of them.
4,700%growth in AI shopping searches, 2024–2025
// 02
AI magnifies what exists
Traditional search was forgiving — a human could scan ten mediocre results and find what they wanted. AI agents don't browse. They parse structured data and make decisions. If your catalog lacks the attributes an agent needs, your product doesn't get recommended. It gets skipped.
82%of ML projects stall due to data quality — MIT
// 03
The bar is rising
Competitors who get catalog quality right compound their advantage. Better data means better search means higher conversion means more signal means better recommendations. This isn't a one-time gap. It's a widening divergence.
15–25%of revenue lost to poor data quality — MIT Sloan
How We Got Here

Built from the inside out.

Magnet Labs wasn't born from a market thesis. It was born from watching the same pattern destroy value — and deciding to build the thing that would break it.

The Experience
Decades inside enterprise commerce — at Sitecore, SAP, IBM, VTEX, Digital River, and dozens of systems integrators. Distributor implementations where vendor feeds broke search on day one. Retailer migrations where the platform changed but the catalog problems didn't. AI initiatives that underperformed because the data underneath wasn't ready.
The Pattern
400+ implementations. Same failure mode. Cleanup projects that regressed within months. Platform migrations that didn't move the needle. The best search engine in the world can't return products with missing attributes. The most sophisticated AI can't personalize against data it doesn't have.
The Conviction
The problem isn't effort. It's model. Every organization we worked with had talented people working hard on catalog quality. None of them had a system designed to maintain it continuously. So we built one — a platform that scores, enriches, benchmarks, and governs catalog quality as an ongoing operational discipline.
Today
CatalogIQ is live and scoring real catalogs across paid customer engagements — from 5,000-SKU retailers to million-SKU industrial distributors. Every deployment deepens our category intelligence: which attribute gaps break AI discovery, which enrichment patterns drive search conversion, which vendor feed signatures predict downstream catalog debt. The platform compounds with every engagement. Yours benefits from all of them.
Partner Ecosystem

Growing through relationships, not ad spend.

We partner with systems integrators who see catalog quality the same way we do — as a recurring need across their client base, not a one-time project to staff and forget.

// Implementation

Implementation Partners

SIs who bring CatalogIQ into platform implementations where catalog data quality is the hidden bottleneck limiting search, conversion, and AI performance. They've seen the cleanup-and-regress cycle across their own client portfolios — and want to offer something that actually sticks.

// Technology

Technology Partners

Commerce platforms, PIMs, and search vendors whose customers need better data to get full value from the tools they've already bought. CatalogIQ doesn't replace these systems — it makes them perform the way the demos promised.

// Channel

Channel Partners

Agencies and consultants who advise on ecommerce strategy and need a scalable answer for the catalog quality question that comes up in every engagement. CatalogIQ gives them a repeatable solution instead of a custom project.

// Data

Data Partners

Organizations with product data, taxonomy standards, and industry benchmarks that make CatalogIQ's scoring and enrichment smarter. Better inputs produce better outputs — for every customer on the platform.

We'll show you what your catalog actually looks like.

Not what you think it looks like. What the data shows — scored, quantified, and prioritized by business impact. Twenty minutes. No pitch. Just intelligence about your business you can't get anywhere else.