import { Pipeline } from '@gargantua/core';
import { SchemaRegistry } from './registry';

const pipeline = new Pipeline({
  source: 'enterprise-lake',
  transforms: [
    normalize({ encoding: 'utf-8' }),
    deduplicate({ key: 'entity_id' }),
    enrich({ provider: 'knowledge-graph' }),
  ],
});

async function ingest(stream) {
  const schema = await SchemaRegistry
    .resolve(stream.metadata);
  return pipeline.run(stream, { schema });
}

export const DataMastery = {
  ontology: buildOntology(sources),
  validate: (record) => schema.check(record),
  pipeline: pipeline.connect(),
};

from transformers import AutoModel
from gargantua.cognitive import Agent

class CognitiveEngine:
    def __init__(self, config):
        self.model = AutoModel.from_pretrained(
            config.base_model,
            quantization='int8',
        )
        self.agent = Agent(
            reasoning='chain-of-thought',
            tools=config.tool_registry,
        )

    async def inference(self, prompt):
        context = await self.agent.plan(prompt)
        embeddings = self.model.encode(context)
        return self.agent.execute(
            embeddings,
            temperature=0.7,
            max_tokens=4096,
        )

terraform {
  required_providers {
    gargantua = {
      source  = "gargantua/ecosystem"
      version = "~> 3.0"
    }
  }
}

resource "ecosystem_platform" "main" {
  name     = "enterprise-mesh"
  region   = var.deployment_region
  scaling  = {
    min_nodes = 3
    max_nodes = 120
    strategy  = "predictive"
  }

  engagement_layer {
    analytics = true
    realtime  = true
    cdn       = "edge-optimized"
  }
}

const nexus = await connect({
  endpoint: process.env.NEXUS_URL,
  auth: { type: 'bearer', token },
});

await nexus.stream('telemetry', {
  window: '5m',
  aggregate: 'p99',
  filter: (e) => e.latency > 200,
});

model = Sequential([
  layers.Dense(512, activation='relu'),
  layers.Dropout(0.3),
  layers.Dense(256, activation='relu'),
  layers.Dense(num_classes, activation='softmax'),
])

model.compile(
  optimizer=Adam(lr=3e-4),
  loss='categorical_crossentropy',
  metrics=['accuracy', 'f1_score'],
)
Gargantua Group Logo
Gargantua Group
AI education visualization
Gargantua Education × Quest X

Singularity AI Labs

AI for the Most Innovative Schools in the World — backed by XPRIZE · ex-Google AI leaders

Backed by STEMNovation, the original program from Valley Christian Schools that Danny and Hannah Kim started.

Ages 13–16 AI Product Building Ship Real Products XPRIZE Competition

Our team comes from

XPRIZE
Google
DeepMind
YouTube
IBM
Cornell
Stanford
Harvard
UC Berkeley

A hands-on programme where students ship real AI products and compete in million-dollar XPRIZE challenges — taught by ex-leaders from Google, DeepMind, and IBM, led by the most decorated K-12 XPRIZE mentor in the world.

The students who learn to think with AI — not just use it — will have options that today's exam system cannot imagine.

$800K
XPRIZE winnings
50+
Patents held
Top 5
XPRIZE Wildfire finalists
13–16
Age range

Why Singularity AI Labs

The 10× Problem Solver

We don't teach students to talk to chatbots—we teach them to architect systems. Orchestrating specialized AI agents lets them parallel-process complex problems and scale their output exponentially.

Fuel for Entrepreneurship

AI collapsed the cost of starting a company. One person can now do what took a team of 10. We teach students to design, automate, deploy, and ship — a viable business path they can start in high school.

College Admissions Edge

Shipped AI products and XPRIZE competition credentials are exactly what admissions officers want. Danny Kim's students have won $800K as the youngest XPRIZE winners ever. No hagwon can put that on an application.

Proven Track Record

Danny Kim's student teams don't just compete — they win against the best in the world.

XPRIZE.org

Ocean Discovery XPRIZE — $800K Win

Danny Kim's high school Ocean Quest team won $800K of the $1M NOAA Bonus Prize in the $7M Shell Ocean Discovery XPRIZE — the youngest winners in XPRIZE history. They built an autonomous underwater vehicle that gathered the highest-quality data of any competing team.

Read the full story
CBS News

XPRIZE Wildfire — Top-5 Finalist

Danny's Wildfire Quest team of high school students is a finalist in the $11M XPRIZE Wildfire competition, developing an AI-powered autonomous wildfire detection and suppression system — competing against top defense contractors and AI companies.

Read the full story
Learn more about XPRIZE competitions

What Students Build

We use AI as the most demanding Socratic sparring partner ever built — the goal is students who think so rigorously they can direct AI, not just prompt it.

AI and multi-agent systems visualization

AI Product Building

Four progressive tracks take students from problem discovery to production-grade AI systems shipped to real users.

Problem Discovery

User research, interviews, validation, business model canvas

Product Design

UX, AI-assisted Figma, wireframing, conversational UI

AI-Assisted Coding

Describe → generate → read → test → debug, Git, GitHub

AI Operations

Prompt engineering, n8n automation, multi-agent systems, cloud deploy

The Kickstart & The Apex

AI Futures Summit

2-Day Kickstart Event

DAY 1

Parents & educators summit — keynotes from Danny Kim on XPRIZE wins and Nick Kim on AI industry trends. Live demo: a student ships a working product in 30 minutes.

DAY 2

Students build — hands-on AI product workshop. Mini Demo Day for parents and faculty at the end.

XPRIZE Korea

The Apex Competition Team

Top-performing students are selected to form XPRIZE Korea — a 10–15 person team entering a million-dollar XPRIZE challenge.

Danny Kim has done it before — twice. His high school students won $800K in the XPRIZE Ocean Discovery competition and are current top-5 finalists in the $11M XPRIZE Wildfire competition, competing against Anduril ($14B defense contractor).

Your school becomes the home base of Korea's first high school XPRIZE team.

Ways In

Two entry points, same arc: identify a real problem, build a real AI product, ship it to a real audience.

Full Trimester Track

AI Mastery Program

Our after-school flagship. 11 weeks, twice a week, aligned to a school trimester. Students identify a real problem, build a working AI product, and pitch it at a public Demo Day to an audience of the public and a panel of guest industry AI and business experts.

11 Weeks · 44 Hours

2× per week, after school

Ages 13–16

No prereqs · Teams of 4–5

View AI Mastery Program
3-Week Intensive

AI Product Launch Camp

A 15-day intensive specifically designed for high school partners. Students go from zero to a shipped, working AI product with a documented business case, professional portfolio, and pitch deck.

Ages 13–16

No prior coding required

25–30 Students

Per cohort

View Camp Details

The Team

Nick Kim

CEO, Gargantua Group

Former Google/YouTube, 20+ years. UC Berkeley ME. Leads AI strategy for Korean enterprises.

Danny Kim

Founder & CEO, Quest X

Cornell CS. Most decorated K-12 XPRIZE mentor in the world. $800K Ocean Discovery win, top-5 Wildfire finalist.

Hannah Kim

VP of Education, Quest X

Harvard GSE. Built a high school incubator where students pitch to Silicon Valley VCs. BEI framework architect.

Edward Jones

CTO, Gargantua Education

MS Cornell. 20+ years at Google & Lockheed Martin. Active CS professor teaching agentic AI.

Jooch Nam

Strategic Partnerships (Korea)

Former Executive Director, AMCHAM Korea. Currently at EBS, Korea's national educational broadcaster.

Dave Kim

Global Partnerships

U of Michigan. 15+ years scaling EdTech brands. 40,000+ learners across Asia. NASA ISS K-12 experiments.

Senior Advisors & Guest Lecturers

Joanna Ng — IBM Master Inventor, 50+ patents
Richard Zhang, PhD — Google DeepMind
David Lindelöf, PhD — Staff Data Scientist, YouTube
Jonathan Rajan — Youngest engineer at Google London
Jieen Chen, PhD — PhD CS Tübingen, cybersecurity

Flexible scheduling

Co-curricular, after-school, or full-day

We supply everything

Instructors, curriculum, kits, cloud labs

Zero prerequisites

Grade 7+ — every student can start

Ready to bring Singularity AI Labs to your school?

Get in Touch
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