Case studies

How We Work

Five projects, described the way an engineer would want to read them: what was actually wrong, what we measured, what we designed, and what we put in writing. Four are delivered or in commissioning; the fifth is in build, and is labeled that way. Clients anonymized — see the note at the bottom.


Innovate · Specialty producer industrializing a process nobody had automated

1. De-Risking a $2M Production System With Structured R&D

The problem

This product had only ever been made in small batches, slowly, by people. Nobody had industrialized the process — there was no equipment on the market for it, and the obvious approach produced output that failed inspection. The insight that unlocked it: the critical variable wasn't the setpoint everyone had been chasing. It was precise control over the rate of change on the way there.

Our approach

Two structured R&D phases — prove feasibility on a bench rig first, then scale to a production-size rig. Off-the-shelf process controllers could not hold the ramp rate the process actually needed, so we built a custom PLC-based control system that could, and instrumented it so every run produced data rather than an opinion.

The result

27 documented test runs. Cycle time came down from 8+ hours to a measured 4.75-hour minimum, 5.2 typical — the single number that decided whether the economics worked. Full electrical load characterized at 203 A / 480V three-phase. Output met spec consistently across every run once the custom controls were in. The R&D program then informed a $2M production system design carrying a written performance guarantee — which is the entire point of doing R&D first.

Related: Why process comes before equipment

Project at a Glance

Pillar
Innovate → Production
Location
Texas
Scope
Two phased R&D programs
Test runs
27 documented
Cycle time
8+ hr → 4.75 hr measured
Outcome
Production system design with written performance guarantee
Status
In commissioning
Engineer reaching into a test tank on an R&D rig in the Launch Partners shop
In our shop|De-Risking a $2M Production System With Structured R&D

Innovate → Build · Plant-based food startup with a recipe and no production path

2. From Squirt Bottles to 10,000 Strips an Hour

The problem

The product existed as a recipe and a hand process — batter squeezed from squirt bottles onto a plate. No machine on the market made it, and the batter was non-Newtonian, so it behaved nothing like the fluids standard depositing equipment is built for. The company was launching a business and needed a path from that plate to sellable volume, without betting the company on equipment sized for a future it hadn't reached yet.

Our approach

We developed a novel depositing technique for the batter, proved it, and built a pilot machine sized to the volume they actually had rather than the one they hoped for. Then we iterated — three generations of machine, roughly 16 weeks each, scaling up as the recipe firmed up. Because the recipe kept moving, the machine had to move with it: later generations added automated cleaning and were re-engineered around how the co-manufacturer actually ran it, not how we assumed they would.

The result

A production machine running 10,000 strips per hour, installed and operating in the co-manufacturer's plant. Each generation was designed from what the last one measured, so the company scaled its equipment at the pace it scaled its sales — which is the whole argument for starting smaller than you think you need to.

Related: Why process comes before equipment

Project at a Glance

Pillar
Innovate → Build
Location
California, then Illinois
Scope
Three machine generations
Duration
~16 weeks per iteration
Hard part
Depositing a non-Newtonian batter
Output
10,000 strips per hour
Operated by
The client's co-manufacturer
A row of identical hopper depositor units feeding a single conveyor in a production plant, with the control cabinet at left
On your floor|From Squirt Bottles to 10,000 Strips an Hour
Running|The deposit step running in production — the part nobody could do by machine before

Scale · Mid-market refrigerated foods manufacturer, two facilities

3. Finding the Real Bottleneck Before Buying Equipment

The problem

The client needed to hit 280,000 lb/day for their next season and was ready to buy another filler to get there. Their internal capacity model assumed 95% OEE.

Our approach

A station-by-station Theory of Constraints analysis across the entire line. The bottleneck wasn't the filler — it was the chill loop. Batch-mode chillers ran at 96 cups per minute while the six-lane filler rated at 120 cpm sat idle waiting on them. We decomposed true OEE: roughly 75% availability × 82% performance × 95% quality — about 58% actual, against the 95% assumed.

The result

A path that moves the bottleneck to 200 cpm and roughly 270,000 lb/day, with the sensitivity levers quantified: one added hour per day is worth 13,500 lb, each OEE point worth 3,600 lb. And the filler they were about to buy turned out to be sitting in their own facility already — not a buy decision, an integration decision. We also found a gas-rate reclassification worth $3,500–$10,700 a year with no capital at all.

Related: How our capacity assessment works

Project at a Glance

Pillar
Scale
Location
Colorado
Engagement
$28,000 fixed price
Duration
2–3 weeks
Method
Theory of Constraints, station by station
Found
True OEE ~58% vs. 95% assumed
Avoided
Buying a filler they already owned
A stainless conveyor section under build in the shop, parts bins racked behind it
In our shop|Finding the Real Bottleneck Before Buying Equipment

Build · Equipment OEM — high-precision dosing systems for the cannabis industry

4. Twenty Machines, One Repeatable Build

The problem

A proven design for a high-precision dosing system — the kind where dose accuracy is a regulatory matter, not a preference — had to become twenty identical delivered units, with consistent quality and predictable per-unit cost. That is a fundamentally different engineering problem than building the first one.

Our approach

Production engineering, procurement, build scheduling, and QA across the full run in our own shop. Fixturing and work instructions built for repeatability rather than one-off craftsmanship.

The result

20 machines delivered on a $300,000 contract, with per-unit repeatability holding at 22.7 labor hours and $8,956 in materials per unit. Across four production runs for this client, 52 machines delivered in total.

Related: How we build production multiples

Project at a Glance

Pillar
Production
Location
Colorado
Machine
High-precision dosing system
Contract
$300,000
This run
20 identical machines
Per unit
22.7 labor hours
Materials
$8,956 per unit
Program total
52 machines across 4 runs
A stainless production machine under assembly in the Launch Partners shop, with engineers working at benches behind it
In our shop|Twenty Machines, One Repeatable Build

Build · Condiment manufacturer — fourth engagement with this client

5. Sized to Your Data, Not Our Catalog

The problem

Caps were losing about five degrees of torque traveling through the dryer before the induction sealer, putting seal integrity at risk across 3,000 cases per twelve-hour shift. An operator was retorquing every jar by hand.

Our approach

We proved the clamp design on 100 of the client's own sample jars, on our shop test conveyor, before the 50% design review — because a cap retorquer that works on paper and slips on real glass is worthless. Then we sized the machine to their measured shift average rather than their nameplate ambition.

The result

This one is still in build, so here is what is committed rather than what is proven. A 35 jar-per-minute design basis against a 25 jpm shift average, with roughly 47 jpm machine capability — 34% headroom. Acceptance criteria written into the contract before work started: 30 minutes continuous at rate with the count logged from the PLC, and removal torque within ±10% across a 30-jar sample. It is done when it passes that, and not before — which is the only version of “done” we will put our name on. We had quoted this client two machines previously and told them both were wrong — one too slow, one too big.

Related: What a fixed-price proposal should contain

Project at a Glance

Pillar
Build
Location
Florida
Status
In build — not yet installed
Design basis
35 jars/min sustained
Capability
~47 jpm — 34% headroom
Torque window
±10% across a 30-jar sample
Acceptance
Written before design began
Relationship
4th engagement
Interior of a finished control panel — breakers, 24V supply, PLC with I/O cards, relays and fully labeled terminal blocks in dressed wire duct
Detail|Sized to Your Data, Not Our Catalog

A note on what you don't see here

Most of our work is under NDA — proprietary processes, first-of-kind equipment, and products that aren't public yet. So we show our own engineering and our own shop rather than our clients' floors. If your process is worth protecting, that's part of why clients hire us.


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