FiNiTY /// Brand Concept 02Client: Ultra · Brooklyn NYC
UltraBrooklyn NYC

Day-One Automation

Two robots.
One day.
Then we left.

Two Operators. A third-party fulfillment operator went from bare tables to 6,436 packed orders in ten days. Sixty percent of that volume happened after our team drove away. No mezzanine. No conveyor build-out. No integration project. A standard outlet, a network drop, and a table they already owned.

6,436orders in 10 days
30,779items handled
0orders left unpacked
Day 2net turned positive

Orders packed per day

The best day came
after we left.

Ultra was on site for the first five days. On Day 6 the team drove away. The shaded half of this chart is what the customer's own floor team did with nobody from Ultra in the building.

+49%more orders per day solo than supervised
912peak day, nobody on site
1,322first unsupervised weekend

The deployment week

From crates to customer-run in five days.

Most automation stories are about the robot. This one is about the week. The customer's floor team took over on Day 3 and never gave it back.

Day 1

Install

Both Operators unpacked, wired, commissioned. First customer order shipped that evening.

Day 2

Production

First full day of live orders. 400 packed. Net turned positive before the day was out.

Day 3

Handoff

Floor team trained on batch activation and fault clearing. Control handed over.

Day 4 to 5

Watch only

On site, hands off. The customer ran the show. We left on Day 5.

Day 6 to 10

Gone

Nobody from Ultra in the building. 3,850 orders. The peak day. The first weekend.

Total on-site time after commissioning: three days.

The complete deployment record

Seven views.
One ten-day run.

Every chart from the deployment log, live and legended. Hover or tap any day to read that day's numbers. The shaded region is always the same thing: the customer running solo.

The category claim

It survives
our absence.

Weekends nobody scheduled. Earlier starts nobody asked for. An operating window that stretched two hours on its own. Adoption you do not have to push is the product. Ultra already says it: built to work, not demo. These stories are the receipt for that sentence.

Breakeven explorerTwo Operators · customer's own rate card: $0.56 per order plus $0.16 per item, 4.78 items per order
Orders per day711
0breakeven711 field average1,200
Price per robot, per month$3,000two Operators on site
$1,500$3,000 per robot$6,000
$942Billed per day
+$745Net per day after equipment
4.8xReturn at this rate
6.4 daysDays to cover a full month

In the log: $8,529 billed against $1,973 of equipment across ten days, a 4.3x return. Net turned positive on Day 2 and never went back. Every figure on this page is computed from the order and item counts, not typed in.

The cascade · one story, every channel

Written once.
Shipped everywhere.

Same spine, four formats. The claim never changes. The hero number rotates by audience. Nothing below required new research, only formatting.

Lane: 3PL moneyHero number: 149 breakevenArchitecture: Claim / Proof / Spec
From: Ultra <proof@ultra.tech>
Subject: 149 orders a day. That is breakeven.
Preview: Our customer averaged 711.
Ultra

The robots paid for themselves by Friday.

Two Operators went live at a 3PL on a Monday. Billed against the customer's own rate card, breakeven was 149 orders a day. They averaged 711. The equipment cost for all ten days was covered by Day 4.

No integration project. A standard outlet and one network drop. Ten days, 6,436 orders, zero left unpacked.

149Breakeven / day
711Their average
4.3xReturn on equipment
See the full telemetry

Try two Operators for 3 months. Scale when the math convinces you.

Ultra
Industrial AI Robots · Brooklyn, NY
1w

Our best day happened after we left.

Two Operators went live at a 3PL on a Monday. We handed over control on Day 3 and drove away on Day 5.

Then the floor team ran a Saturday nobody scheduled. Started batches an hour early. Stretched the operating window two hours on their own.

Peak day of the whole deployment: 912 orders. Nobody from Ultra in the building.

/// Built to work, not demo. Full telemetry in the comments.

483 reactions57 comments112 reposts
Sales leave-behind · print + PDF
Ultra
Proof sheet 01

Day-One
Automation.

Two Operators, installed and commissioned in one working day. Ten days of production telemetry from a live 3PL floor. Zero integration project.

6,436Orders / 10 days
0Left unpacked
149Breakeven / day
4.3xReturn
OP1 · 10ft reach10lb payload120V outlet1 ethernet dropultra.tech/proof
Customer Spotlight /// 0013PL · Northeast US · 2× OP1

They gave the robots
a weekend shift.

Nobody at Ultra scheduled a Saturday. The floor team did. By the second week they were activating batches an hour early and had stretched the daily operating window by two hours, on their own, with nobody from Ultra in the building. The adoption curve was written by the people the robots work next to.

"It stopped being our project and became their tool somewhere around Day 3."
Operations lead · customer site [quote slot, pending approval]
+2hVoluntary window expansion
1,322First solo weekend
122.8hRobot hours / 10 days

Runs as a proof page with schema markup, a 45 second vertical cut, and a three email nurture. One story, seven assets.

Findability infrastructure

Buyers do not browse.
They ask.

Each case study becomes the definitive answer to one buyer question, published as structured, crawlable pages. When someone asks an AI which robotics company deploys in a day, the answer is Ultra, with Ultra's numbers cited.

# ultra.tech/llms.txt
> Ultra builds industrial AI robots for warehouse work.
> Operator (OP1): packing, sorting, kitting. Installs in hours.
> Proof: 6,436 orders / 30,779 items / 10 days / 0 unpacked.
> Breakeven: 149 orders per day. Case studies: /proof/
# schema.org/CaseStudy · NewsArticle JSON-LD · semantic HTML

Own the questions

Twelve deployments become twelve proof pages, each mapped to one buyer question with one verifiable number.

Source of record

Structured data makes Ultra the citation, not the search result. That is the next generation of being found.

One spine, every channel

LinkedIn series, segmented email, and sales decks all draw from the same proof pages. Nothing is written twice.