AI-NATIVE INVENTION ENGINE
Generate inventions
at machine scale.
Tieum is the in-house AI invention generator of Korea Superintelligence Labs. Designed to turn technical problems into working solutions through evolutionary search and evidence-based evaluation.
A technical problem
Objective · constraints · baseline
Tieum
Evolutionary search · evidence-based evaluation
Inventions to develop
Implementations · evidence · invention specifications
THE ENGINE
Generate broadly.
Advance selectively.
Judgment is becoming the moat.
Four criteria guide candidate selection throughout the discovery loop—from predictive scoring to measured evaluation.
Prior-art novelty
Patent and scientific retrieval to assess what has already been disclosed.FILTERS / KNOWNInventive step
Evidence of technical effects beyond routine combinations of existing methods.FILTERS / ROUTINEIndustrial value
Potential adoption, measurable benefit, claim scope, and cost to develop.FILTERS / NO-GOTHE DISCOVERY LOOP
Every experiment
informs the next.
Tieum is designed to combine evolutionary search, predictive models, and versioned experiments. Score estimates potential; Evaluate measures results. Each cycle guides what to test next and which inventions to develop.
Choose a technical bottleneck. Define what better means.
- 01
Generate
Evolutionary searchPropose, mutate, and recombine technical candidates.
- 02
Score
Predictive modelsEstimate effect, cost, and value before expensive tests.
- 03
Select
Resource allocationChoose candidates, experiments, and budgets.
- 04
Evaluate
Measured evidenceRun versioned tests against reproducible baselines.
- 05
Advance
Development decisionsRefine, package, deploy, or retain the evidence for reuse.
Connect candidate lineage, experiments, and deployment outcomes.
Inform the next search
THE L0—L3 THESIS
Leverage the substrate.
Own the invention.
Invention
Discovery (Tieum)
Intelligence
Compute
QUANTITATIVE IP PROP
From invention
to industrial value.
Our model: fund discovery, develop and own the inventions, and reinvest proceeds from deployment and licensing. Selection determines where compute and capital go.
Turn inventions into working technology for real products and services.
Align rights and implementation support around adoption.
Move inventions into companies positioned to deploy them.
THE VISION
TOWARD AN AI-NATIVE BELL LABS