“Real systems. Verified evidence. Research without theatre.”
MetaCoreHuman intent. Real results.CONTROLLED RESEARCH SURFACE
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SERIOGAMETA PROG #06 · RESEARCH OPERATOR
Runtime evidence · research surface
MetaLAB
RESEARCH THAT MOVES ONLY WITH EVIDENCE
MetaLAB is MetaCore’s controlled R&D environment for Physical AI, robotics, simulation, verified geometry and AI systems. It separates what is live, what is proven, what is experimental and what still requires human approval.
01OBSERVEWhat is actually running
02VERIFYWhat is supported
03EXPLOREWhat is possible
04EVOLVEWhat creates value
METALAB RESEARCH INDEXVerified depth, visible at a glance.
VISUAL PROOFHuman reference geometrycandidate evidence · no deformation
BIODIGITALTWIN · GEOMETRY RESEARCH
Reference anatomy before person-specific fit.
A bounded research workflow verified source geometry, landmark consistency, visual export and browser rendering — then stopped exactly where human authority was still required.
The system demonstrated capability by refusing to overstep authority. Person-specific deformation remains blocked until explicit review and target authority are resolved.
Rotate the research model and inspect its visual layers in the live Holo renderer. This interactive exploration has its own research status; the reference geometry proof above remains a separate, bounded result.
HOLO METACORE · LIVE WEBGLDRAG TO ROTATE · EXPLORE LAYERS
RESEARCH VISUALIZATION
Reference anatomy, functional views and symbolic or energetic overlays have different evidence status. Visual effects are not diagnoses or measured human states.
MetaLAB does not flatten every domain into one universal answer. Specialist fields preserve their own evidence rules and authority, then meet through a controlled research context.
Research coreEvidence domainsContext domainsLAB / interpretive
PUBLIC KNOWLEDGE TOPOLOGY ≠ PRIVATE EXECUTION TOPOLOGY
METACOREResearch Fieldcontext · routing · gates
SCIENCEMOKSLO_LAB
HEALTHClinical evidence
HUMAN SYSTEMSBioDigitalTwin
ENGINEERINGRobotics
LAWTEISĖTA
PEOPLELeadership
CONTEXTContext & Psy
RELATIONSHIPS · REFLECTIONCycles & Time
MATERIALMineral & Material
LABExploratory sensing
INTERPRETIVESymbolic models
TRUSTSecurity & Governance
Research programs
ACTIVE PORTFOLIO
TRANSLATIONAL RESEARCH PORTFOLIOFour programs. One evidence discipline.
Programs group specialist knowledge into repeatable research paths. Each lane keeps its own source authority, validation method and promotion gate.
01 · COSMIC SYSTEMSAstronomy & simulationConcept illustration · LAB exploration02 · HUMAN SYSTEMS3D human researchConcept illustration · distinct from reference proof03 · AI SYSTEMSHolo MetaCore MConcept illustration · technology direction
01
HUMAN SYSTEMS
BioDigitalTwin Research
Longitudinal human-state research linking anatomy, context, temporal change and visual proof without collapsing evidence classes.
STATE→CONTEXT→MODEL→PROOF
Outputsstructured candidates · timeline · 3D proof · reconciliation
02
SCIENCE & METHOD
Evidence & Currentness
Source resolution, methodology, evidence grading and controlled currentness for research that must survive scrutiny.
QUESTION→SOURCE→METHOD→REVIEW
Outputsevidence maps · research contracts · gaps · verified deltas
03
ENGINEERING & PHYSICAL AI
Verified Geometry & Systems
Requirements, geometry, kinematics, collision, CAD and browser proof joined into a bounded engineering validation path.
Legal, security and governance layers keep claims tied to authority, controls, evidence status and explicit human review.
CLAIM→CONTROL→EVIDENCE→REVIEW
Outputsauthority maps · control evidence · review state · promotion gates
People + AI research team
12 SPECIALIST DOMAINS
ONE SHARED QUESTION · MANY SPECIALISTS
People lead. AI specialists work together.
A human team sets the goal and reviews the result. MetaCore coordinates AI personas across the relevant domains, keeps their sources and limits visible, and brings findings back for a human decision.
12connected research domainsONE COORDINATED WORKFLOW
HUMAN TEAM × AI PERSONASShared work. Clear responsibility.LAB collaboration concept illustration
01Human briefPurpose, scope and real-world context
02MetaCore coordinationRoute the right AI specialists
03Specialist workCompare sources, models and limits
04Human reviewDecide, correct or ask for more proof
FOUR MISSION LANESWhat the team can investigate together
Each lane draws on distinct domain sources. Outputs are research material with visible status, not automatic decisions.
01 · HUMAN SYSTEMS⌁
Understand the person
Bring state, biology and lived context into one reviewable research picture.
BioDigitalTwinstate and change over time
Clinical evidencebiology, risk and source boundaries
Human contextbehavior, environment and timeline
TEAM OUTPUTStructured questions and context map
02 · ENGINEERING◇
Build in the physical world
Connect design requirements, material properties and bounded observations.
Roboticshazards, tests and verification
Mineral & Materialproperties and source records
Exploratory sensingrepeatable LAB observations
TEAM OUTPUTDesign candidates and test plan
03 · EVIDENCE & TRUST✓
Make claims inspectable
Trace what is known, where it came from and who can approve its use.
MOKSLO_LABmethod, evidence and currentness
TEISĖTAscoped legal source review
Security & Trustcontrols, provenance and status
TEAM OUTPUTEvidence trail and review gates
04 · PEOPLE & MEANING✧
Support human direction
Help teams reflect on roles, relationships and possible interpretations.
Leadershiproles and decision context
Relationships & Reflectiontime and interpersonal context
Symbolic modelsinterpretive, never factual authority
TEAM OUTPUTShared understanding and options
HUMAN AUTHORITY
AI personas assist with research and coordination. People retain the mandate to interpret, approve and act; each domain keeps its own evidence and competence boundary.
Selected LAB project · MarsNet
EARTH-TESTABLE ARCHITECTURE
AI PERSONAS · MARSNET LAB CONCEPT
METACORE OS TEAM × GEODOMAS ENGINEERING
MarsNet gives the mission a shared state.
Robots, habitats and support systems keep their local controls. MarsNet explores a common layer for mission context, scoped authority and inspectable evidence across their interfaces.
01Mission stateConfiguration, health and task context shared with provenance.
02Bounded autonomyLocal safety and explicit permission before action.
03Evidence & recoveryObserved results, deviations and validated next steps.
QUALIFICATION PATHEarth-side integration and testing are the current basis; Mars-specific performance requires its own qualification.
Selected LAB project · Crystal / Astral Dome
WORKING HYPOTHESIS · H1
BUILT REFERENCEGEODOMAS · Merkinė area, LithuaniaLAB CONCEPT ARTMetaCore · Astral Dome / Crystal Edition
GEODOMAS ENGINEERING × METACORE RESEARCH
A built dome. A new question about human experience.
GEODOMAS built the glass geodesic dome near Merkinė. People describe calm and inner change in that space. Astral Dome explores how geometry, materials, light, sound, crystals and guided practice might shape that experience.
The Merkinė dome is a built reference. Its geometry and construction records form the provenance trail; it is a distinct project from the Astral Dome concept.
BUILT STRUCTURE · SOURCE RECORD
02 / WHAT WE STUDYCrystal coherence · H1
Shape, material, crystal nodes and the setting may contribute to a felt sense of coherence. Individual accounts matter; each component and possible explanation needs its own documentation.
WORKING HYPOTHESIS · NOT A CLINICAL RESULT
LAB ROUTECAD & material provenance→Environment & experience records→Comparisons & human review
An unmeasured effect remains an open question. Experiences are documented with care; no diagnosis or treatment claim is inferred from them.
Research instruments
VERIFIED CAPABILITIES
COMPUTATIONAL · GEOMETRIC · VISUALFrom source geometry to validated proof.
Selected capability classes available to MetaLAB research workflows. Internal execution topology stays private; public surface shows only verified capability boundaries.
Geometry · visualization · roboticsConcept illustration of the research environment; verified capabilities are listed below.
Research principleSOURCE TRUTH ≠ PROFILE FIT ≠ PERSON-SPECIFIC DEFORMATION
DCCCADMEDICAL 3DGEOMETRYVALIDATIONWEB 3D
Proof architecture
VERIFICATION
FROM CLAIM TO DEFENSIBLE ARTIFACTNothing graduates because it looks convincing.
A public result should carry enough structure to answer five questions: where it came from, what class of evidence it is, how it was tested, who may approve it, and what changed after review.
01ProvenanceSource, input identity and traceable origin.REQUIRED
02Evidence classFact, source-derived, inference, hypothesis, symbolic or unknown.VISIBLE
03ValidationDomain-appropriate checks, geometry QA, standards or method review.BOUNDED
04AuthorityAI contribution stays distinct from human or domain authority.GATED
05DeltaWhat changed, what remains unknown and what deserves the next test.RECORDED
Verification ledger
QA RECEIPTS
HISTORICAL LAB QA SNAPSHOT · 2026-09-16Capabilities are published only after they pass their own checks.
This is a sanitized historical QA summary, not live runtime telemetry. The underlying receipt set remains internal; public receipt binding is pending, so these rows should be read as bounded LAB QA evidence rather than independently reproducible public proof.
CAPABILITYPROOFSTATE
Core geometrymesh · collision · direct physicsGeometry smoke suitePASS
See the people and ideas behind MetaLAB, watch visual demonstrations, and inspect the public source trail. Choose the channel that fits how you like to follow the work.
METACORE · PUBLIC LABFrom the LAB to the conversation.Concept illustration · public research storytelling
PUBLIC MATERIAL · LAB CONTEXTVideos and social updates show the work. Claims remain tied to their source, evidence status and human review.
Research boundaries
RESEARCH
MetaLAB may expose experiments, symbolic models and target architectures, but they remain visually and structurally separated from current runtime fact. This keeps the laboratory ambitious without turning prototypes into claims.
Deployment rule: a disconnected runtime feed must never silently fall back to invented telemetry. The provided fallback is a dated, labeled source-backed snapshot.