P.POT
00%
PAPERPOTEST. 2025 — AI-NATIVE STUDIO
AI-NATIVE DIGITAL STUDIO

P.POT

We design, automate, and ship
intelligent products at the speed of thought.

ENTER EXPERIENCE
SCROLL TO ENTERx 0.00 / y 0.00
01 — IDEA

A spark
becomes a system.

Every Paperpot engagement starts as a raw idea and ends as a living, shippable product. No decks that die in drawers.

STEP 01 / 03
briefsparksketchmodelsystem
02 — INTELLIGENCE

We weave
intelligence in.

Models, agents and automations aren't a feature we bolt on — they're the substrate everything is built on top of.

STEP 02 / 03
MODEL · v0.42INPUTOUTPUT
03 — VELOCITY

Then we
ship at velocity.

Tight loops, instrumented from day one. You watch it come alive in real time — not in a status email.

STEP 03 / 03
WHAT WE DO

Seven
disciplines.
One studio.

Scroll → to traverse
01

Websites

Immersive, performant marketing & product sites that feel like experiences, not pages.

  • WebGL
  • Design systems
  • Headless CMS
paperpot.studio
02

Mobile Apps

Native-feeling cross-platform apps with motion, haptics and offline-first intelligence.

  • React Native
  • Swift / Kotlin
  • Edge sync
9:41
03

Automations

We delete the busywork — pipelines that move data, trigger actions and never sleep.

  • Workflow engines
  • Integrations
  • Webhooks
04

AI Automations

LLM-powered flows that read, reason and act — embedded right where work happens.

  • RAG
  • Function calling
  • Eval loops
flow.py
01from paperpot import agent0203def triage(ticket):04  ctx = retrieve(ticket)05  plan = agent.plan(ctx)06  return plan.run()
05

Agentic Workflows

Multi-agent systems that plan, delegate and self-correct toward a goal you define.

  • Orchestration
  • Tool use
  • Guardrails
06

MLOps

The unglamorous backbone — versioning, monitoring, CI/CD for models that stay healthy.

  • Pipelines
  • Observability
  • Drift detection
atlas/health
12.4msp95 latency
99.8%uptime · 30d
07

Model Training

Fine-tunes and bespoke models trained on your data, tuned for your exact edge cases.

  • Fine-tuning
  • Distillation
  • Evals
EPOCH 23/100LOSS 0.412

Need all
seven?

That's the point. →
SELECTED OUTPUT

Things we
set in motion.

Drag the windows. Everything here floats.

24 PROJECTS · 2020 — 2025View all works
helios-os — case studyLIVE
LIVEhelios · v2.4.1
scout-01indexed 412 docs
plan-04drafted execution
tool-02called stripe.refund
eval-01scored 0.93
847agents
12ktasks/d
99.4%success
Helios OSAI ops console · Agentic Workflows
nori — mobilev2.1
good morningSasha
72bpm
8.2ksteps
92hrv
7.6hsleep
NoriHealth companion · Mobile + Model Training
VANTAGEvantage.studio
POINTOFSEEING
SCROLL
vantage — siteSHIPPED
VantageImmersive launch site · WebGL
loom — automationRUNNING
MRR · this run$42,180
throughput1,204/h
leadscoreroutepostlog
LoomRevenue automation · AI Automations
atlas — mlopsOPS
all healthycluster · us-east-1
p9512.4ms
throughput1.2M/h
drift0.02σ
AtlasModel platform · MLOps
START A PROJECT

Tell us what
you're building.

🎉₹1000 OFF APPLIED TO YOUR PROJECT

Try a code from our socials.

Transmission received. We'll be in touch within 24h.