PLAX Neural Labs, Inc.

We’ve run complex services for years. Now we modernize enterprise stacks.

PLAX Neural Labs has built and run its own AI companion and virtual entertainment services. Now we bring that engineering to enterprises, rebuilding their technology, customer and service stacks.

Engineering
Consulting & development, automation
Consumer services
AI companions, virtual entertainment
How we build
AI software factory
Founded
2021

01About

From consumer products to enterprise systems.

Until now, PLAX Neural Labs has mostly built and run consumer apps: real-time broadcasting, AI character conversations, payments and payouts. Systems that can’t go down.

Now we offer that experience to enterprises. Our customers are companies that want to modernize their technology stack, customer experience and service operations.

What we run ourselves

Real-time live streaming
Broadcasting, live chat, donations and subscriptions
AI character conversations
Character chat, interactive stories
Payments & payouts
Domestic and international payments, creator revenue
Multi-platform, multi-country
Web, iOS, Android · Korea, Japan, US

02Software consulting & development

We build software like a factory.

We rebuild enterprise software with AI, and keep running it after launch.

  1. 1

    What if you rebuilt it from scratch today?

    The cost of writing code with AI is falling fast. Rebuilding only what you need is now often cheaper and faster than patching the old system.

  2. 2

    AI isn’t a finished tool.

    Picking a model is easy; keeping it running in real work every day is hard. We’ve done that daily in services we run ourselves.

  3. 3

    Knowledge that builds up beats code written fast.

    If the reasons behind decisions aren’t kept, a team repeats its mistakes. So we record specs and design decisions before code.

Same standards. Different production.

ItemTraditional contractorPLAX
Pricing basisHeadcount × monthsSpec scope and quality bar
First releaseQuartersWeeks
DocumentationWritten after, or skippedGenerated with the code
Change requestsRe-quoted, re-negotiatedAdded to the spec, in the next release
AccountabilitySpread across the teamA named engineer per system

03How we build

Six stations. One line.

People own intent and judgment. AI does the production.

  1. 01

    Spec

    Engineer + customer

    Requirements, constraints and acceptance criteria, written as an executable spec.

  2. 02

    Design

    Engineer

    System structure, data boundaries and integrations, decided and recorded.

  3. 03

    Generate

    AI

    Code, tests and docs produced against the spec, in parallel.

  4. 04

    Inspect

    Engineer

    The responsible engineer reviews every change.

  5. 05

    Ship

    PLAX

    Small, frequent releases to your infrastructure or the cloud.

  6. 06

    Operate

    PLAX

    Monitored and maintained. Operating data feeds the next spec.

04Automation systems, built & maintained

No AI team? Work with AI anyway.

Long-established companies in manufacturing, retail, logistics and services carry the most repetitive work. You don’t need to hire people who know the latest AI. PLAX builds the automation, then keeps running and fixing it.

How it works

  1. 1Diagnose

    Find repetitive work with the people who do it, and pick one workflow to automate.

  2. 2Build

    Connect to existing systems, spreadsheets and messengers as they are. No new tools to learn.

  3. 3Operate & maintain

    When models and workflows change, the automation has to change too. We don’t build and leave; we keep watching and fixing.

See how we deliver automation in the PLAX deck

05Quality control

Agents build. The verification line decides what ships.

The heart of a software factory isn’t how fast code gets written. It’s the verification line that decides what ships. People write the specs and the checks, and every change passes the same gates before release.

Change #2047Include refunds in the settlement reportExample
  1. Spec tests214 / 214Passed
  2. Hidden scenariosSatisfaction 98.4% · bar 95%Passed
  3. Static analysis · securityNo issuesPassed
  4. Review agentsCorrectness · security · tests 3 / 3Approved
  5. Staging deployCustomer stagingPassed
  6. Responsible engineerChange reviewedApproved
  7. ShipProduction deploy · rollback point savedDone
Specs first
People write the acceptance criteria, those become automated tests, and only then do agents write code.
Hidden scenarios
Scenarios of real usage are kept apart from the code, so we can check that agents built code that actually works, not code that merely fits the tests.
Automated checks, human judgment
Tests, static analysis, security checks and review agents filter first; the responsible engineer approves the release.
Only what’s permitted
Agents run in isolated containers and touch only the data and tools the customer allows.
Every run on record
Which spec, which agent, what changed: it’s all kept, ready for an audit and for a rollback at any time.

06Consumer services

Services we run ourselves.

Our engineering is proven first on our own products, not someone else’s. Users in Korea, Japan and the US use them every day, on the web and in apps.

AI companions

StoryEngine

Users talk freely with AI characters and steer their own scenarios and stories. Each character has its own personality and world, and the story builds as the conversation goes on.

AI character chat · Interactive stories · Web and app

storyengine.live ↗

Virtual entertainment · AI companions

RPLAY

A subculture content platform: VTuber and creator live streams, ASMR and audio content, AI character chat and games. Creators meet fans and earn through their streams and content.

Live streaming · Live chat · Donations and subscriptions · Paid content · Web, iOS, Android

rplay.live ↗

The problems we hit running these services are where our engineering arm began.

Get in touch

Tell us what to modernize.

Tell us about the systems you run today and the one workflow that hurts most. We’ll work out together whether consulting and development or automation fits, and propose a first release plan. Happy to start with an NDA.