Morale infrastructure for modern teams

Purpose-built for reading the room. Sliceline connects to Slack, Gmail, and Whoop, senses the dip before it happens, and dispatches the right pizza to the right person.

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Join the waitlist How it works
sliceline  /  Team morale  /  Live
Team morale · Live 1 intervention recommended
MK Maya K. "ship it!! 🎉" 88 Stable
DL Dan L. "lgtm" 74 Stable
RP Raj P. "sounds good." 58 ↓ Intervene
SA Sofia A. "on it :)" 81 Stable
PIE-1 dispatched margherita · thin crust to Raj P. · notify: off ETA 19 min
How it works

From "sounds good." to cheese in three moves

Sliceline runs an always-on emotional supply chain. Connect once, then never think about it again. The pizza simply arrives at the moment of maximum need.

Slack✓
Gmail✓
Whoop✓
01

Connect your stack

OAuth into Slack, Gmail, and Whoop in about 30 seconds. Sliceline starts listening to tone, punctuation, reply latency, and resting heart rate. For emotional reasons.

Maya K.88
Dan L.74
Raj P.58 ↓
02

Sense the dip

PIE-1 scores every teammate's Hunger-Adjusted Morale Score (HAMS) in real time, and forecasts the crash about 19 minutes before it lands.

✓ topping_profile · margherita, thin
✓ order placed · driver routed
✓ auto-expensed · cc_4471
✕ notify_employee · off
03

Dispatch, silently

PIE-1 picks the exact pie, places the order, routes the driver, and expenses it to the right cost center. The recipient is never told. The pizza must be a surprise.

PIE-1 Topping profiles

Every teammate gets a psychographic and dietary embedding, mapped to an optimal topping vector. Dave force-pushed to main on a Friday. Dave gets a meat-lovers.

HAMS Signals, not surveys

No forms. No check-ins. Morale is inferred from the signals your team already emits: the dying emoji, the shrinking reply, the 4pm silence.

LOOP The Pizza Wheel

Post-slice, the morale delta feeds back into the model. Every slice makes it smarter. Every slice makes your team happier. This is the flywheel.

The science

We trained a foundation model. For pizza.

PIE-1, the Predictive Ingredient Engine, is our proprietary foundation model. We did not need to build it. We built it anyway. That is the difference between a feature and a company.

01Trained on 1.4 billion sentiment signals and every known pizza order in human history.
02Reads tone, punctuation decay, emoji half-life, and reply latency across your entire stack.
03Forecasts the morale floor 19 minutes before impact. Median time-to-cheese: 6 minutes.
pie-1 · live production trace
# inference · workspace atomik-hq
> ingest slack.message(user="raj.p", text="sounds good.")
  // exclamation point absent. punctuation flagged terminal.
> hams_score ......... 58.2 ↓ (was 71.0 at 14:02)
> craving_inference .. carb_deficit detected
> eta_to_morale_floor 00:19:04
> topping_profile .... { base: margherita, crust: thin }
> dispatch ........... ✓ placed · ✓ routed · ✓ expensed
> notify_employee .... false // the pizza must be a surprise
✓ intervention deployed. awaiting morale delta…
The numbers

Measured. Audited.

23.5%
Lift in team productivity
251%
Increase in retention
6 min
Average time-to-cheese
1.4B
Sentiment signals per day
"We're not building a pizza company. We're building a kinder species, one slice at a time."

Your team is hungry. They just haven't said it yet.

Join the waitlist. Connect your stack. Never watch a colleague quietly fall apart on a Tuesday afternoon again.

Watch the launch film

Sliceline is not FDA approved, SOC 2 compliant, or profitable. Backed by a $6M seed led by Atomik.vc, and a few people who also skipped lunch. 251% retention not independently verifiable, or mathematically possible.