loopaiplatform

Unlocking value trapped in operations powering the physical economy.

[FreightWaves @FreightWaves]

Loop CEO Matt McKinney highlights the number one pain point in supply chain: untrusted data. When 60% of critical information is offline, how can AI truly deliver? This is where the biggest opportunity lies.

[loopaiplatform @loopaiplatform]

Our engineer Henry Knoll walks through the full system, including how the failure grouping mechanism works and what comes next. https://t.co/aA8Vrtufdf
#supplychain #AI

[loopaiplatform @loopaiplatform]

The result: a feedback loop where every edge case we encounter makes the next one easier to handle. New carrier formats, new invoice layouts, new extraction quirks; they surface, get diagnosed, and get addressed. Without someone manually noticing each one.

[loopaiplatform @loopaiplatform]

When automation gets something wrong or leaves a task unanswered, we persist that as a failure instance. Over time, similar failures cluster. An agent evaluates each cluster for a shared root cause. If it finds one, it proposes a fix: a new rule, a prompt update, a system correction.

[loopaiplatform @loopaiplatform]

Our solution: entity context rules. Natural language instructions tied to a specific entity and task type, injected into the LLM prompt only when relevant. "For invoices from [issuer], the year is often wrong. Infer the correct one from context."

[loopaiplatform @loopaiplatform]

But reactive rule-writing only works if someone notices the problem first. We needed a way to surface gaps automatically, before a human catches the same mistake for the hundredth time. That's what failure analysis does.

[loopaiplatform @loopaiplatform]

The core problem: LLMs are good general reasoners. But logistics data is full of entity-specific, unintuitive knowledge that isn't in any training set. It lives in the heads of people who've spent years working with specific carriers and invoice formats.

[loopaiplatform @loopaiplatform]

LLMs don't know that one carrier's "Document Charge" is actually a cross-border processing fee. Or that a specific invoice issuer always writes the wrong year on the date field. Experienced auditors know this. Our models didn't... at. first. Here's how we closed that gap: 🧵

[loopaiplatform @loopaiplatform]

We raised $95M last month to expand the platform across the full supply chain — POs, warehouse, customs, ERP, TMS.

The Logistics Data Platform is where that starts.

Learn more: https://t.co/AmUI7L1sws

[loopaiplatform @loopaiplatform]

Today we launched the Logistics Data Platform. Here's the problem it solves—and why we went this route to solve it. 🧵

[loopaiplatform @loopaiplatform]

The companies already running on it:

A Fortune 100 food company surfaced $9M in previously invisible inbound costs. 95% touchless invoice automation in 30 days.

A fast growing jewelry brand’s Finance, Transportation, and Ops teams operate from one source of truth. Cross-functional decisions that used to take days now happen in real time.

1 $1.8B beverage company scaled from niche startup to 30,000+ retail locations without scaling their logistics headcount.

[Matt McKinney @mattlmckinney]

https://t.co/QXsabzafeU

[Matt McKinney @mattlmckinney]

Today we're announcing $95M in Series C funding led by @ValorEP and the Valor Atreides AI Fund, with participation from @8VC, @foundersfund, @IndexVentures, @JPMorgan Growth Equity Partners, and Tao Capital Partners.

We're building the intelligence layer for the physical economy.

[loopaiplatform @loopaiplatform]

Loop has been named a 2026 Top 100 Logistics & Supply Chain Technology Provider by @ILMagazine.

Proud to be building technology that helps teams make sense of complex, fragmented supply chains.

[loopaiplatform @loopaiplatform]

A single PDF invoice on our platform triggers 50+ processing tasks and ~100M Kafka events/day.

We were managing it with 40+ static ECS instances and a weekly bin-packing script. It was a mess.

So we built a consumer proxy in Go. 330+ consumer groups now run on a single 4CPU/8GB task. 50% AWS cost reduction.

Full writeup: https://t.co/9odCIC8pbZ