Takt Raises $9.25M Series A for Warehouse Labor Management

Takt has raised a $9.25 million Series A led by Ballast Point Partners. It's our first institutional round, and it funds a specific ambition: to make Takt the operating layer modern warehouses actually run on — not another system that explains the shift after it's over.

More than 100 warehouses across North America and international markets run on Takt today, including operations for Fortune 500 retailers, global brands, and some of the largest third-party logistics providers in North America. We've added more sites this year than in any year before it.

We built the first version of this product inside a live distribution center, standing next to the supervisors who would use it. What we saw on that floor is still the problem we're building against, and this round lets us take it further — into more of the decisions that shape a shift, and more of our customers' operations.

The floor changed. The software didn't.

For most of the history of warehouse operations, labor was the only real variable. You measured people against standards, and that was close enough to measuring the operation.

That assumption is gone. Distribution centers have absorbed a decade of new technology — goods-to-person systems, autonomous mobile robots, sortation, voice — and today a person, a robot, and a conveyor routinely share responsibility for the same order. Each of those systems produces its own data, and almost none of it lands in the same place. Labor performance lives in one system, automation throughput in another, time and attendance in a third.

So supervisors reconstruct the shift by hand: pulling exports, building spreadsheets, reconciling numbers that don't agree. By the time the picture is complete, the shift is over and the decision that would have changed the outcome is gone.

That's not a reporting gap. It's a modeling gap — and it's the reason a conventional labor management system, built when direct scanned work was the whole story, can't close it alone.

The shift underneath all of this is straightforward to state and hard to build: labor, automation, and robotics can no longer be measured separately, because they no longer operate separately. When an AMR fleet slows down, the effect surfaces as a labor variance three zones away. When indirect time climbs, it surfaces as a margin problem on a customer contract months later. Measuring each system on its own terms produces reports that are individually accurate and collectively useless.

Warehouses need one operating model across all three. That's the company we're building.

Operators are already proving it out

Kenco, one of North America's largest 3PLs, selected Takt as its labor management and warehouse intelligence system and deployed it across 19 distribution centers, with plans to extend to 30 more. At a single-client CPG site, average cost per pallet fell 15% — roughly $229,000 a year in one building.

"Partnering with Takt elevates labor performance intelligence from reporting to real-time operational control." — Jason Minghini, SVP of Supply Chain Solutions, Kenco

ODW Logistics replaced a legacy labor management system with Takt and reported a 29% improvement in workforce performance alongside a 39% increase in employee retention. CarParts.com, All Points, and nGROUP tell similar stories.

Enterprise operators don't standardize networks on a platform that isn't working.

How it works

Takt connects to warehouse management systems, time clocks, robotics and material handling controls, and homegrown applications, then normalizes all of it into one structured model of warehouse work.

That activity is measured continuously against engineered labor standards maintained inside the platform — including the work most systems miss. Across our customer data, we typically see 30–35% of operations time going to activity that sits outside measured direct work: startup and shutdown, kitting, value-added services, rework, and training. Making that indirect labor visible is often where the fastest gains in warehouse productivity come from.

From there it drives action. Teams use Takt for warehouse labor planning, goals and incentives, coaching and engagement, and connecting operating performance to cost and profitability. TaktAI reasons over the combined model to flag where results are moving and what's likely driving it, so supervisors can act intraday rather than review it later.

Why Ballast Point

Choosing a partner for a first institutional round is a decision about more than capital. We wanted a firm that would understand an operations business — one where value is proven in a building, on a shift, against a number the customer already tracks.

Ballast Point Partners has been investing in and building high-growth companies since 2002, with more than 90 years of combined partner experience and over $550 million under management across four funds. Their diligence set the tone for the partnership: it went to customer evidence and site-level results, not market-size slides.

Sean Barkman, a Partner at the firm, joins Takt's Board of Directors.

"The way warehouses run has changed faster than the technology used to measure them, and that gap is what drew us to this category," said Barkman. "What stood out about Takt was the evidence. Kenco standardized 19 distribution centers on the platform, plans to extend it to 30 more, and can point to results site by site. Enterprise operators do not expand a deployment at that pace unless the product is working."

Where we're investing

Intraday orchestration. The decisions that matter get made while the shift is running, against an order profile that keeps moving. We're extending Takt into order orchestration and resource scheduling so the plan updates as conditions change instead of sitting static from start-of-shift — supported by broader connectivity with tier-one WMS, robotics, and material handling systems.

Decisions the system can make with you. When order mix shifts mid-shift, deciding who moves from packing to picking, and when, is a judgment call a supervisor makes with partial information and no time to weigh alternatives. Takt will start making that call alongside them, and increasingly for them, within bounds they set. That's what agentic decision making means in a warehouse: not a chatbot, but a system that rebalances the floor against the live order profile and tells you what it did.

Industrial engineering tools. The teams who build standards and design these operations are working with tooling that hasn't kept pace with the floors they're responsible for. We're investing in a fuller set of tools for standards development, work measurement, and operational design.

We'll also keep expanding across the UK, the EU, and Asia-Pacific so enterprise customers can run one operating platform across their global networks.

Thank you

Takt started on a warehouse floor. Glynn, Noah, and Alex left their jobs and built the first version inside a live distribution operation, sitting with the supervisors and engineers who would use it. That's still how we work, and it's why this round means what it does: it came from customers who pushed us, told us what was broken, and were willing to try something new in a building where a bad day costs real money.

The team you know isn't changing — it's growing. Same responsiveness, same product velocity, more of it.

If you're working through warehouse labor management, indirect time you can't see, or automation and labor data that won't reconcile, we'd like to talk. Request a demo, or start with what a labor management system actually does.